Breakouts in the Auth0 predictive analytics are ForgeRock, PingFederate, JSON Web Token. Seriously consider these technologies to gain a strategic advantage.
The technologies who are at the peak of their interest are OneLogin, JSON Web Token, ForgeRock.
By far most employment needs are found in the Active Directory, LDAP, Identity management technologies.
These 3 fields have the most active practitioners who have the specific skill set or experience: Active Directory, LDAP, Identity management.
LastPass, LDAP, Active Directory lead in searches for information online.
These three technologies are receiving the highest investments to gain clients: Identity management systems, Identity management, Single sign-on.
These three technologies have the most active advertisers: Identity management systems, Identity management, Single sign on.
In patents, these three technologies have the most coverage LDAP, Mozilla Persona, Single sign-on.
The most publications are available for Active Directory, Single sign-on, Single sign on.
Instruction and courseware availability is highest in these technologies: COPPA, Active Directory, Single sign-on.
The Auth0 report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.
The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Auth0’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.
The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.
The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.
Breakouts in the Influencer marketing predictive analytics are Personal selling, Brand ambassador, Influencer Marketing Platform. Seriously consider these technologies to gain a strategic advantage.
The technologies who are at the peak of their interest are Web Maven, Influencer Marketing Platform, Digital marketing.
By far most employment needs are found in the Social media, Visual merchandising, Digital marketing technologies.
These 3 fields have the most active practitioners who have the specific skill set or experience: Social media, Marketing strategy, Digital marketing.
Social media, Digital marketing, Marketing strategy lead in searches for information online.
These three technologies are receiving the highest investments to gain clients: Marketing Automation Software, Early adopter, Social influence.
These three technologies have the most active advertisers: Digital marketing, Mobile marketing, Business Marketing.
In patents, these three technologies have the most coverage Marketing activation, Social media, Display advertising.
The most publications are available for Social media, Word of mouth, Marketing strategy.
Instruction and courseware availability is highest in these technologies: Social media, Bloggers, Digital marketing.
“Gerard Blokdijk is a genius and his report Influencer marketing Predictive Analytics Report has been magical in my life. What Gerard has done is taken the ‘best practices’-developed for the industry-and condensed the ‘best of the best; into a daily morning ritual. A ritual that is now part of my day.”
What’s being widely regarded as “one of the most life changing reports ever written” may be the simplest approach to achieving everything you’ve ever wanted, and faster than you ever thought possible.
What if you could wake up tomorrow and any-or EVERY-area of your life was beginning to transform? What would you change? Influencer marketing Predictive Analytics Report is an excellent release of the predictive analytics results by Gerard Blokdijk that are already transforming the lives of tens of thousands of people around the world by showing them how to wake up each day with more ENERGY, MOTIVATION, and FOCUS to take your life to the next level. It’s been right here in front of us all along, but this report has finally brought it to life.
Are you ready? The next chapter of YOUR life-the most extraordinary life you’ve ever imagined-is about to begin. It’s time to WAKE UP to your full Influencer marketing potential…
The Influencer marketing report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.
Influencer marketing is a form of marketing that has emerged from a variety of practices and studies, in which focus is placed on specific key individuals rather than the target market as a whole. It identifies the individuals that have influence over potential buyers, and orients marketing activities around these influencers.
The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Influencer marketing’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.
The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.
The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.
100 – Web Maven
100 – Influencer Marketing Platform
100 – Digital marketing
Google Trends data for gauging mindshare and awareness, the numbers are relative to their maximum (100), meaning number 100 has maximum interest right now and number 50 has half the interest it had from its peak of 100.
Employment Demand:
Leaders:
058554 – Social media
033313 – Visual merchandising
015759 – Digital marketing
Open employment opportunities on the date of this report for the subject. Indicator of the need of employers for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Active Practitioners:
Leaders:
16115251 – Social media
09324009 – Marketing strategy
02840680 – Digital marketing
Number of practitioners and professionals which have the subject skill set and experience. Indicator of the need of employers (and availability of employees) for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Monthly Searches:
Leaders:
246000 – Social media
060500 – Digital marketing
049500 – Marketing strategy
How often a month a search is performed for the keyword/phrase: and indicator of interest in the subject.
Cost per Click:
Leaders:
022.23 – Marketing Automation Software
008.90 – Early adopter
008.45 – Social influence
CPC: The average amount advertisers pay Google anytime someone clicks their own ad for this keyword. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
Active Advertisers:
Leaders:
072 – Digital marketing
055 – Mobile marketing
055 – Business Marketing
This shows how many unique advertisers have appeared on this subject in the last 12 months. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
Patents:
Leaders:
06290000 – Marketing activation
00034800 – Social media
00009580 – Display advertising
Patents issued for the specific subject. Indicator of R&D investments and innovation in the specific subject.
Books in print:
Leaders:
00078738 – Social media
00021823 – Word of mouth
00020638 – Marketing strategy
Number of in-print books that cover the subject. Indicator of the need for knowledge sharing and its availability.
Instruction and courseware available content:
Leaders:
14100000 – Social media
00509000 – Bloggers
00502000 – Digital marketing
Number of instruction and courseware available content that covers the subject. Indicator of the need for knowledge sharing and its availability.
Complete Overview:
Interest and Popularity
100 – Web Maven
100 – Influencer Marketing Platform
100 – Digital marketing
095 – Oracle Marketing Cloud
089 – Adobe Marketing Cloud
088 – Net Promoter Score
086 – Social marketing
083 – Unified Marketing Platform
083 – Brand ambassador
082 – BuzzSumo
079 – Social media
074 – Salesforce Marketing Cloud
073 – Earned media
073 – Bloggers
069 – Zoomph
069 – Social Media Marketing Software
068 – Visual merchandising
068 – Recruitment Marketing Platform
065 – Market reach
056 – Native advertising
053 – Mobile marketing
052 – Social influence
050 – Web banner
046 – Robert Cialdini
046 – Marketing activation
046 – Display advertising
045 – Marketing operations
045 – Lime Light CRM
044 – BuzzStream
041 – Product marketing
040 – Content Marketing Software
039 – Marketing strategy
039 – Information and belief
039 – Business Marketing
038 – Marketing 360
037 – Marketing Automation Software
036 – Marketing management
036 – Brand management
035 – Service (economics)
035 – Marketing Town
034 – Personal selling
033 – Word of mouth
033 – Purchase decision
033 – Marketing Essentials
033 – Loyalty marketing
033 – Cost per action
031 – Teradata Marketing
031 – Early adopter
031 – Distribution (business)
Employment Demand:
058554 – Social media
033313 – Visual merchandising
015759 – Digital marketing
014843 – Brand ambassador
009117 – Marketing strategy
008712 – Product marketing
008557 – Business Marketing
003996 – Personal selling
003435 – Marketing operations
002352 – Brand management
002302 – Marketing management
001254 – Social marketing
001162 – Display advertising
001017 – Mobile marketing
000928 – Word of mouth
000760 – Bloggers
000624 – Distribution (business)
000508 – Net Promoter Score
000483 – Purchase decision
000471 – Earned media
000340 – Early adopter
000272 – Marketing Automation Software
000269 – Salesforce Marketing Cloud
000267 – Loyalty marketing
000247 – Native advertising
000221 – Adobe Marketing Cloud
000129 – Market reach
000109 – Oracle Marketing Cloud
000106 – Marketing activation
000049 – Web banner
000036 – Social influence
000027 – BuzzSumo
000019 – Influencer Marketing Platform
000016 – BuzzStream
000014 – Cost per action
000008 – Content Marketing Software
000006 – Marketing 360
000005 – Recruitment Marketing Platform
000002 – Teradata Marketing
000002 – Service (economics)
000002 – Marketing Essentials
000001 – Unified Marketing Platform
000001 – Marketing Town
000000 – Zoomph
000000 – Web Maven
000000 – Social Media Marketing Software
000000 – Robert Cialdini
000000 – Lime Light CRM
000000 – Information and belief
Active Practitioners:
16115251 – Social media
09324009 – Marketing strategy
02840680 – Digital marketing
02320699 – Marketing management
01827467 – Product marketing
01135451 – Brand management
01105234 – Visual merchandising
00520655 – Business Marketing
00472021 – Mobile marketing
00318283 – Marketing operations
00173470 – Brand ambassador
00135270 – Social marketing
00096212 – Display advertising
00083705 – Bloggers
00075380 – Word of mouth
00038942 – Loyalty marketing
00038242 – Distribution (business)
00030566 – Net Promoter Score
00017743 – Early adopter
00017550 – Earned media
00015199 – Personal selling
00011247 – Social influence
00011242 – Market reach
00010794 – Marketing activation
00009432 – Native advertising
00007640 – Web banner
00005779 – Purchase decision
00005558 – Salesforce Marketing Cloud
00005192 – Adobe Marketing Cloud
00004672 – Marketing Essentials
00004032 – Marketing Automation Software
00002911 – Oracle Marketing Cloud
00002887 – Marketing 360
00001491 – Service (economics)
00001273 – Cost per action
00000948 – Teradata Marketing
00000718 – BuzzSumo
00000590 – BuzzStream
00000507 – Marketing Town
00000497 – Social Media Marketing Software
00000387 – Robert Cialdini
00000356 – Influencer Marketing Platform
00000246 – Content Marketing Software
00000156 – Recruitment Marketing Platform
00000115 – Web Maven
00000104 – Zoomph
00000040 – Information and belief
00000029 – Unified Marketing Platform
00000028 – Lime Light CRM
Monthly Searches:
246000 – Social media
060500 – Digital marketing
049500 – Marketing strategy
040500 – Visual merchandising
033100 – Marketing management
027100 – Word of mouth
027100 – Net Promoter Score
027100 – Bloggers
022200 – Mobile marketing
018100 – Brand ambassador
014800 – Social marketing
014800 – Native advertising
014800 – Brand management
009900 – Personal selling
006600 – Robert Cialdini
006600 – Business Marketing
005400 – Web banner
005400 – Product marketing
005400 – Early adopter
005400 – Display advertising
004400 – Social influence
004400 – Earned media
002400 – Marketing Automation Software
001900 – Cost per action
001600 – Loyalty marketing
001000 – Marketing operations
000880 – Marketing Essentials
000390 – Social Media Marketing Software
000140 – Lime Light CRM
000000 – Zoomph
000000 – Web Maven
000000 – Unified Marketing Platform
000000 – Teradata Marketing
000000 – Service (economics)
000000 – Salesforce Marketing Cloud
000000 – Recruitment Marketing Platform
000000 – Purchase decision
000000 – Oracle Marketing Cloud
000000 – Marketing Town
000000 – Marketing activation
000000 – Marketing 360
000000 – Market reach
000000 – Information and belief
000000 – Influencer Marketing Platform
000000 – Distribution (business)
000000 – Content Marketing Software
000000 – BuzzSumo
000000 – BuzzStream
000000 – Adobe Marketing Cloud
Cost per Click:
022.23 – Marketing Automation Software
008.90 – Early adopter
008.45 – Social influence
007.92 – Net Promoter Score
007.34 – Social Media Marketing Software
007.16 – Marketing management
007.01 – Display advertising
006.96 – Loyalty marketing
006.64 – Digital marketing
006.57 – Social marketing
006.39 – Business Marketing
006.37 – Marketing operations
006.13 – Mobile marketing
005.87 – Brand management
005.05 – Social media
004.29 – Native advertising
004.22 – Product marketing
003.93 – Brand ambassador
003.89 – Visual merchandising
003.78 – Marketing strategy
003.50 – Lime Light CRM
001.65 – Marketing Essentials
001.38 – Cost per action
001.21 – Bloggers
000.88 – Web banner
000.22 – Earned media
000.14 – Personal selling
000.05 – Word of mouth
000.02 – Robert Cialdini
000.00 – Zoomph
000.00 – Web Maven
000.00 – Unified Marketing Platform
000.00 – Teradata Marketing
000.00 – Service (economics)
000.00 – Salesforce Marketing Cloud
000.00 – Recruitment Marketing Platform
000.00 – Purchase decision
000.00 – Oracle Marketing Cloud
000.00 – Marketing Town
000.00 – Marketing activation
000.00 – Marketing 360
000.00 – Market reach
000.00 – Information and belief
000.00 – Influencer Marketing Platform
000.00 – Distribution (business)
000.00 – Content Marketing Software
000.00 – BuzzSumo
000.00 – BuzzStream
000.00 – Adobe Marketing Cloud
Active Advertisers
072 – Digital marketing
055 – Mobile marketing
055 – Business Marketing
051 – Marketing strategy
050 – Social Media Marketing Software
049 – Influencer Marketing Platform
047 – Content Marketing Software
046 – Social marketing
046 – Marketing Automation Software
044 – Display advertising
042 – Loyalty marketing
039 – Native advertising
027 – Marketing management
026 – Lime Light CRM
024 – Brand management
023 – Product marketing
022 – Cost per action
016 – Net Promoter Score
013 – Salesforce Marketing Cloud
011 – Marketing operations
010 – Social media
010 – Marketing 360
010 – Bloggers
008 – Oracle Marketing Cloud
008 – Brand ambassador
002 – Visual merchandising
002 – Social influence
002 – Marketing Essentials
001 – Zoomph
001 – Word of mouth
001 – Web banner
001 – Early adopter
000 – Web Maven
000 – Unified Marketing Platform
000 – Teradata Marketing
000 – Service (economics)
000 – Robert Cialdini
000 – Recruitment Marketing Platform
000 – Purchase decision
000 – Personal selling
000 – Marketing Town
000 – Marketing activation
000 – Market reach
000 – Information and belief
000 – Earned media
000 – Distribution (business)
000 – BuzzSumo
000 – BuzzStream
000 – Adobe Marketing Cloud
Patents:
06290000 – Marketing activation
00034800 – Social media
00009580 – Display advertising
00006430 – Word of mouth
00004940 – Product marketing
00004760 – Purchase decision
00003840 – Marketing strategy
00002690 – Marketing management
00002550 – Brand management
00002510 – Distribution (business)
00002180 – Cost per action
00002010 – Mobile marketing
00001600 – Information and belief
00001570 – Bloggers
00001360 – Robert Cialdini
00001220 – Business Marketing
00001030 – Digital marketing
00001020 – Social influence
00000827 – Social marketing
00000658 – Early adopter
00000632 – Marketing operations
00000549 – Web banner
00000441 – Market reach
00000271 – Loyalty marketing
00000213 – Visual merchandising
00000178 – Personal selling
00000121 – Net Promoter Score
00000089 – Brand ambassador
00000072 – Earned media
00000033 – Native advertising
00000029 – Marketing Automation Software
00000016 – Service (economics)
00000003 – Marketing 360
00000002 – BuzzSumo
00000001 – Zoomph
00000001 – BuzzStream
00000001 – Adobe Marketing Cloud
00000000 – Web Maven
00000000 – Unified Marketing Platform
00000000 – Teradata Marketing
00000000 – Social Media Marketing Software
00000000 – Salesforce Marketing Cloud
00000000 – Recruitment Marketing Platform
00000000 – Oracle Marketing Cloud
00000000 – Marketing Town
00000000 – Marketing Essentials
00000000 – Lime Light CRM
00000000 – Influencer Marketing Platform
00000000 – Content Marketing Software
Books in print:
00078738 – Social media
00021823 – Word of mouth
00020638 – Marketing strategy
00012239 – Marketing management
00007625 – Business Marketing
00005350 – Social influence
00005193 – Product marketing
00004865 – Early adopter
00003628 – Bloggers
00003433 – Purchase decision
00003209 – Brand management
00002898 – Social marketing
00002621 – Digital marketing
00002118 – Personal selling
00001773 – Mobile marketing
00001116 – Distribution (business)
00001027 – Net Promoter Score
00000896 – Marketing operations
00000810 – Brand ambassador
00000789 – Service (economics)
00000752 – Display advertising
00000609 – Visual merchandising
00000599 – Information and belief
00000565 – Cost per action
00000397 – Robert Cialdini
00000385 – Marketing Essentials
00000367 – Earned media
00000254 – Market reach
00000197 – Loyalty marketing
00000164 – Native advertising
00000124 – Marketing Automation Software
00000123 – Web banner
00000028 – BuzzSumo
00000024 – Salesforce Marketing Cloud
00000019 – Adobe Marketing Cloud
00000011 – Marketing activation
00000008 – Marketing Town
00000007 – Social Media Marketing Software
00000005 – Oracle Marketing Cloud
00000004 – Content Marketing Software
00000004 – BuzzStream
00000002 – Marketing 360
00000002 – Influencer Marketing Platform
00000001 – Teradata Marketing
00000001 – Recruitment Marketing Platform
00000000 – Zoomph
00000000 – Web Maven
00000000 – Unified Marketing Platform
00000000 – Lime Light CRM
Instruction and courseware available content:
14100000 – Social media
00509000 – Bloggers
00502000 – Digital marketing
00380000 – Marketing strategy
00252000 – Business Marketing
00191000 – Mobile marketing
00141000 – Word of mouth
00122000 – Brand ambassador
00085800 – Social marketing
00076800 – Marketing management
00049100 – Product marketing
00034100 – Native advertising
00033800 – Web banner
00031700 – Social influence
00030300 – Brand management
00028300 – Visual merchandising
00023700 – Display advertising
00014600 – Purchase decision
00013100 – Robert Cialdini
00008540 – Cost per action
00008030 – Content Marketing Software
00007610 – Marketing Automation Software
00007160 – Personal selling
00006250 – Distribution (business)
00005980 – Early adopter
00005880 – Adobe Marketing Cloud
00005770 – Social Media Marketing Software
00005130 – Salesforce Marketing Cloud
00004930 – Marketing Essentials
00004200 – Loyalty marketing
00003760 – Marketing 360
00003710 – Net Promoter Score
00003570 – Marketing operations
00003430 – Earned media
00002430 – BuzzSumo
00001900 – Oracle Marketing Cloud
00001830 – Market reach
00001430 – Marketing activation
00001350 – Information and belief
00001260 – BuzzStream
00000653 – Zoomph
00000591 – Influencer Marketing Platform
00000313 – Teradata Marketing
00000191 – Service (economics)
00000191 – Recruitment Marketing Platform
00000162 – Web Maven
00000042 – Marketing Town
00000005 – Unified Marketing Platform
00000003 – Lime Light CRM
In the Influencer marketing Predictive Analytics Report, bestselling author Gerard Blokdijk reveals the source of self-limiting Influencer marketing related beliefs that rob us of growth and create needless setbacks. Based on twenty-five years of data and experience, the Influencer marketing Predictive Analytics Report offers a powerful code of conduct that can rapidly transform our lives to a new experience of freedom, true growth, and experiences.
Start with Personal selling, Brand ambassador, Influencer Marketing Platform, and make the above top Predictive Analytics results happen:
Access all the Influencer marketing Prescriptive Analytics Personal selling, Brand ambassador, Influencer Marketing Platform, blueprints, presentations and templates and much more in The Art of Service LAB theartofservice.co/lab. Sign up for 7 days free today.
Breakouts in the Data analytics predictive analytics are Big Data Software, Unstructured data, Crimson Hexagon. Seriously consider these technologies to gain a strategic advantage.
The technologies who are at the peak of their interest are SalesHandy, Small multiple, SciPy.
By far most employment needs are found in the Problem solving, Big data, Business intelligence technologies.
These 3 fields have the most active practitioners who have the specific skill set or experience: Problem solving, Business intelligence, Qualitative research.
Standard deviation, Big data, Median lead in searches for information online.
These three technologies are receiving the highest investments to gain clients: Data Visualization Software, eDiscovery, Predictive analytics.
These three technologies have the most active advertisers: Business intelligence, Social Media Marketing Software, Content Marketing Software.
In patents, these three technologies have the most coverage Median, Standard deviation, Test method.
The most publications are available for Problem solving, Standard deviation, Probability distribution.
Instruction and courseware availability is highest in these technologies: Big data, Data science, Machine learning.
The creation of wealth has always been regarded as a process that requires hard work and luck–often at the expense of others. In this remarkable report Gerard Blokdijk, the author of Predictive analytics reports and other bestsellers reveals how to align with the subtle yet powerful, unseen forces that affect the flow of money in our lives.
The Data analytics report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.
Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories.
The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Data analytics’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service‘s store to get started.
The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications. My custom essay writers
The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.
Google Trends data for gauging mindshare and awareness, the numbers are relative to their maximum (100), meaning number 100 has maximum interest right now and number 50 has half the interest it had from its peak of 100.
Employment Demand:
Leaders:
365516 – Problem solving
020539 – Big data
020403 – Business intelligence
Open employment opportunities on the date of this report for the subject. Indicator of the need of employers for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Active Practitioners:
Leaders:
04360641 – Problem solving
02721380 – Business intelligence
00906428 – Qualitative research
Number of practitioners and professionals which have the subject skill set and experience. Indicator of the need of employers (and availability of employees) for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Monthly Searches:
Leaders:
301000 – Standard deviation
246000 – Big data
201000 – Median
How often a month a search is performed for the keyword/phrase: and indicator of interest in the subject.
CPC: The average amount advertisers pay Google anytime someone clicks their own ad for this keyword. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
Active Advertisers:
Leaders:
055 – Business intelligence
050 – Social Media Marketing Software
047 – Content Marketing Software
This shows how many unique advertisers have appeared on this subject in the last 12 months. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
Patents:
Leaders:
02710000 – Median
02300000 – Standard deviation
01740000 – Test method
Patents issued for the specific subject. Indicator of R&D investments and innovation in the specific subject.
Books in print:
Leaders:
00129617 – Problem solving
00069206 – Standard deviation
00024883 – Probability distribution
Number of in-print books that cover the subject. Indicator of the need for knowledge sharing and its availability.
Instruction and courseware available content:
Leaders:
03500000 – Big data
03060000 – Data science
00920000 – Machine learning
Number of instruction and courseware available content that covers the subject. Indicator of the need for knowledge sharing and its availability.
Complete Overview:
Interest and Popularity
097 – SalesHandy
094 – Small multiple
093 – SciPy
093 – Predictive analytics
093 – KNIME
092 – Data validation
092 – Big Data Software
092 – Alteryx
091 – Big data
090 – Machine learning
087 – Data visualization
087 – Data science
083 – R (programming language)
083 – Datameer
083 – Area chart
082 – Text analytics
082 – Line chart
082 – Bar chart
081 – Data wrangling
078 – RapidMiner
077 – Run chart
077 – eDiscovery
076 – Data governance
073 – Median
070 – Sparkline
070 – Crimson Hexagon
069 – Test method
069 – Social Media Marketing Software
069 – Confirmation bias
068 – Pie chart
064 – Simply Measured
064 – CloudCherry Analytics
063 – Missing data
063 – Host Analytics
062 – Pentaho
062 – Pareto chart
061 – TIBCO Spotfire
061 – Propensity score matching
061 – Doing Data Science
060 – T test
060 – Sensitivity analysis
060 – Boxplot
055 – Measuring instrument
055 – Data loss
053 – Hosted Elasticsearch
052 – Data integrity
051 – Data (computing)
051 – ANOVA
050 – Unstructured data
050 – Hypothesis testing
050 – Histogram
050 – Data security
050 – Cognitive bias
048 – Scatterplot
048 – Lex Machina
048 – Inferential statistics
047 – Scatter plot
047 – Qualitative research
047 – Problem solving
047 – Descriptive statistics
046 – Standard deviation
046 – Mutually exclusive events
046 – Keen IO
044 – Financial statement analysis
043 – Statistical inference
043 – Generalized linear model
042 – Data system
042 – Control chart
042 – Business intelligence
041 – Type 1 error
041 – Data scraping
040 – eDiscovery Point
040 – Content Marketing Software
039 – Data quality
038 – Normal distribution
037 – Probability distribution
036 – rx Medical
036 – Regression analysis
035 – Table (information)
034 – Randomization
034 – Data Visualization Software
034 – Data integration
033 – Exploratory data analysis
033 – Computer data storage
032 – Type I and type II errors
032 – Response rate (survey)
032 – Process theory
032 – Data Entry Software
032 – ANCOVA
031 – Data editing
Employment Demand:
365516 – Problem solving
020539 – Big data
020403 – Business intelligence
013020 – Data integrity
010814 – Data quality
009428 – Machine learning
005724 – Data visualization
005706 – Data science
005700 – Data integration
004206 – Data security
002799 – Data governance
002736 – Data system
002394 – Data validation
002339 – Predictive analytics
001979 – Statistical inference
001687 – Unstructured data
001190 – Data loss
001179 – Financial statement analysis
001029 – Qualitative research
000872 – Median
000802 – eDiscovery
000755 – Test method
000658 – Pentaho
000632 – Missing data
000576 – Regression analysis
000441 – Hypothesis testing
000398 – Sensitivity analysis
000392 – Randomization
000381 – ANOVA
000335 – Alteryx
000319 – Descriptive statistics
000289 – Text analytics
000289 – SciPy
000213 – Exploratory data analysis
000211 – Data Visualization Software
000181 – TIBCO Spotfire
000171 – Big Data Software
000137 – Data Entry Software
000133 – Inferential statistics
000104 – Data wrangling
000104 – Crimson Hexagon
000103 – Standard deviation
000088 – ANCOVA
000084 – RapidMiner
000082 – Data (computing)
000077 – Data editing
000070 – Datameer
000066 – T test
000066 – KNIME
000061 – Host Analytics
000058 – Simply Measured
000049 – R (programming language)
000048 – Histogram
000044 – Control chart
000035 – Normal distribution
000034 – Table (information)
000034 – Bar chart
000031 – Process theory
000027 – Measuring instrument
000023 – Pareto chart
000020 – Run chart
000015 – Propensity score matching
000014 – Scatter plot
000014 – rx Medical
000014 – Line chart
000012 – Probability distribution
000009 – Lex Machina
000009 – Keen IO
000008 – Content Marketing Software
000008 – Computer data storage
000007 – Data scraping
000005 – Generalized linear model
000003 – Small multiple
000003 – Pie chart
000003 – Cognitive bias
000002 – Scatterplot
000001 – Sparkline
000001 – Hosted Elasticsearch
000001 – Boxplot
000000 – Type I and type II errors
000000 – Type 1 error
000000 – Social Media Marketing Software
000000 – SalesHandy
000000 – Response rate (survey)
000000 – Mutually exclusive events
000000 – eDiscovery Point
000000 – Doing Data Science
000000 – Confirmation bias
000000 – CloudCherry Analytics
000000 – Area chart
Active Practitioners:
04360641 – Problem solving
02721380 – Business intelligence
00906428 – Qualitative research
00545016 – Big data
00371405 – Machine learning
00228662 – Data quality
00193107 – Data integrity
00187572 – Data integration
00151338 – Data science
00135698 – Data security
00133545 – Data visualization
00100441 – Financial statement analysis
00095339 – Predictive analytics
00092212 – Data system
00075734 – Data validation
00064570 – Regression analysis
00061528 – Data governance
00043194 – Sensitivity analysis
00034090 – Pentaho
00033047 – Data loss
00032444 – ANOVA
00027513 – Median
00025070 – eDiscovery
00023360 – Statistical inference
00023038 – Exploratory data analysis
00018592 – Test method
00017659 – Unstructured data
00014730 – Text analytics
00013564 – Hypothesis testing
00013134 – Missing data
00012164 – Histogram
00011824 – Descriptive statistics
00009611 – Standard deviation
00008181 – Randomization
00008072 – T test
00008026 – SciPy
00007258 – Alteryx
00006502 – RapidMiner
00006088 – TIBCO Spotfire
00005552 – Data (computing)
00004823 – Data editing
00004643 – Data wrangling
00004439 – Inferential statistics
00004026 – Bar chart
00003879 – R (programming language)
00003758 – Control chart
00003742 – KNIME
00003474 – Data Entry Software
00003175 – Measuring instrument
00003167 – Probability distribution
00002886 – Big Data Software
00002383 – Normal distribution
00002344 – Pareto chart
00002333 – Data Visualization Software
00002271 – Data scraping
00001983 – Pie chart
00001708 – Crimson Hexagon
00001668 – Datameer
00001663 – ANCOVA
00001523 – Process theory
00001445 – Host Analytics
00001415 – Simply Measured
00001196 – Propensity score matching
00001161 – Generalized linear model
00000925 – Line chart
00000861 – Scatter plot
00000755 – Cognitive bias
00000740 – Table (information)
00000607 – rx Medical
00000507 – Run chart
00000497 – Social Media Marketing Software
00000445 – Computer data storage
00000435 – Sparkline
00000341 – Small multiple
00000332 – Scatterplot
00000303 – Boxplot
00000274 – Confirmation bias
00000256 – Keen IO
00000246 – Content Marketing Software
00000187 – Area chart
00000160 – Lex Machina
00000111 – Doing Data Science
00000084 – Response rate (survey)
00000056 – Type I and type II errors
00000034 – Type 1 error
00000022 – Mutually exclusive events
00000022 – Hosted Elasticsearch
00000016 – eDiscovery Point
00000010 – SalesHandy
00000007 – CloudCherry Analytics
Monthly Searches:
301000 – Standard deviation
246000 – Big data
201000 – Median
135000 – Histogram
110000 – T test
110000 – Business intelligence
110000 – ANOVA
090500 – Normal distribution
060500 – Problem solving
049500 – Pentaho
049500 – Machine learning
040500 – Regression analysis
040500 – Qualitative research
040500 – Pie chart
040500 – Confirmation bias
033100 – Pareto chart
027100 – Sensitivity analysis
027100 – Scatter plot
027100 – Hypothesis testing
027100 – Descriptive statistics
027100 – Boxplot
027100 – Bar chart
022200 – SciPy
022200 – Probability distribution
022200 – Data visualization
018100 – Type 1 error
018100 – Predictive analytics
018100 – Inferential statistics
014800 – Data science
012100 – Financial statement analysis
012100 – Data integrity
012100 – ANCOVA
009900 – Cognitive bias
008100 – Statistical inference
008100 – Scatterplot
008100 – Data security
008100 – Alteryx
006600 – TIBCO Spotfire
006600 – eDiscovery
006600 – Data validation
006600 – Data governance
006600 – Control chart
005400 – Line chart
005400 – Data quality
004400 – Sparkline
004400 – Randomization
004400 – Propensity score matching
004400 – Data integration
003600 – Unstructured data
003600 – Run chart
003600 – Generalized linear model
002900 – Host Analytics
002900 – Exploratory data analysis
002900 – Data system
002400 – Text analytics
001900 – Data Visualization Software
001600 – Missing data
001600 – Data scraping
001600 – Area chart
001300 – Type I and type II errors
001300 – Data loss
001300 – Data Entry Software
001000 – Measuring instrument
000880 – Big Data Software
000720 – Process theory
000720 – Computer data storage
000480 – Test method
000390 – Social Media Marketing Software
000260 – Data editing
000000 – Table (information)
000000 – Small multiple
000000 – Simply Measured
000000 – SalesHandy
000000 – rx Medical
000000 – Response rate (survey)
000000 – RapidMiner
000000 – R (programming language)
000000 – Mutually exclusive events
000000 – Lex Machina
000000 – KNIME
000000 – Keen IO
000000 – Hosted Elasticsearch
000000 – eDiscovery Point
000000 – Doing Data Science
000000 – Datameer
000000 – Data wrangling
000000 – Data (computing)
000000 – Crimson Hexagon
000000 – Content Marketing Software
000000 – CloudCherry Analytics
Cost per Click:
021.07 – Data Visualization Software
019.53 – eDiscovery
019.51 – Predictive analytics
018.96 – Unstructured data
014.53 – Big data
011.16 – Data visualization
010.41 – Data security
008.08 – Data quality
007.74 – TIBCO Spotfire
007.74 – Data integration
007.34 – Social Media Marketing Software
006.46 – Computer data storage
005.77 – Text analytics
005.66 – Scatter plot
005.66 – Business intelligence
005.41 – Data system
005.01 – Data editing
004.51 – Area chart
004.22 – Propensity score matching
003.86 – Financial statement analysis
003.81 – Control chart
003.74 – Type I and type II errors
003.62 – Data governance
003.29 – Data scraping
002.95 – Big Data Software
002.83 – Machine learning
002.82 – Missing data
002.78 – Inferential statistics
002.27 – Boxplot
001.87 – Type 1 error
001.27 – Data science
001.21 – Descriptive statistics
001.17 – Generalized linear model
001.15 – Regression analysis
001.11 – Bar chart
001.04 – Statistical inference
000.95 – Measuring instrument
000.94 – Test method
000.92 – SciPy
000.90 – Probability distribution
000.79 – Sensitivity analysis
000.79 – Data integrity
000.74 – Histogram
000.72 – Data Entry Software
000.71 – Sparkline
000.68 – Host Analytics
000.66 – Data loss
000.64 – Pareto chart
000.63 – Alteryx
000.62 – Pentaho
000.61 – Process theory
000.59 – Exploratory data analysis
000.53 – Data validation
000.48 – Confirmation bias
000.36 – ANOVA
000.31 – Median
000.29 – Problem solving
000.24 – Standard deviation
000.23 – Cognitive bias
000.09 – Qualitative research
000.08 – Line chart
000.06 – Run chart
000.06 – Pie chart
000.06 – Normal distribution
000.05 – T test
000.04 – Scatterplot
000.03 – Randomization
000.03 – Hypothesis testing
000.03 – ANCOVA
000.00 – Table (information)
000.00 – Small multiple
000.00 – Simply Measured
000.00 – SalesHandy
000.00 – rx Medical
000.00 – Response rate (survey)
000.00 – RapidMiner
000.00 – R (programming language)
000.00 – Mutually exclusive events
000.00 – Lex Machina
000.00 – KNIME
000.00 – Keen IO
000.00 – Hosted Elasticsearch
000.00 – eDiscovery Point
000.00 – Doing Data Science
000.00 – Datameer
000.00 – Data wrangling
000.00 – Data (computing)
000.00 – Crimson Hexagon
000.00 – Content Marketing Software
000.00 – CloudCherry Analytics
Active Advertisers
055 – Business intelligence
050 – Social Media Marketing Software
047 – Content Marketing Software
047 – Big Data Software
047 – Big data
046 – Text analytics
045 – Data Visualization Software
045 – Data integration
044 – Predictive analytics
044 – Data science
041 – Data security
040 – Data visualization
038 – Computer data storage
036 – eDiscovery
036 – Data governance
034 – Data Entry Software
030 – Data quality
026 – Unstructured data
025 – Machine learning
024 – Data scraping
020 – Measuring instrument
019 – Financial statement analysis
013 – Exploratory data analysis
010 – Host Analytics
010 – Datameer
009 – Pentaho
007 – Alteryx
006 – TIBCO Spotfire
005 – Problem solving
005 – Data integrity
004 – Data loss
003 – Simply Measured
003 – Crimson Hexagon
002 – Qualitative research
002 – Keen IO
002 – Data validation
002 – ANOVA
001 – Standard deviation
001 – Sparkline
001 – SciPy
001 – Regression analysis
001 – Pie chart
001 – Pareto chart
001 – Missing data
001 – Histogram
001 – Descriptive statistics
001 – Data system
001 – Control chart
000 – Type I and type II errors
000 – Type 1 error
000 – Test method
000 – Table (information)
000 – T test
000 – Statistical inference
000 – Small multiple
000 – Sensitivity analysis
000 – Scatterplot
000 – Scatter plot
000 – SalesHandy
000 – rx Medical
000 – Run chart
000 – Response rate (survey)
000 – RapidMiner
000 – Randomization
000 – R (programming language)
000 – Propensity score matching
000 – Process theory
000 – Probability distribution
000 – Normal distribution
000 – Mutually exclusive events
000 – Median
000 – Line chart
000 – Lex Machina
000 – KNIME
000 – Inferential statistics
000 – Hypothesis testing
000 – Hosted Elasticsearch
000 – Generalized linear model
000 – eDiscovery Point
000 – Doing Data Science
000 – Data wrangling
000 – Data editing
000 – Data (computing)
000 – Confirmation bias
000 – Cognitive bias
000 – CloudCherry Analytics
000 – Boxplot
000 – Bar chart
000 – Area chart
000 – ANCOVA
Patents:
02710000 – Median
02300000 – Standard deviation
01740000 – Test method
00164000 – Histogram
00155000 – T test
00124000 – Measuring instrument
00106000 – ANOVA
00085900 – Data system
00080900 – Regression analysis
00073200 – Data integrity
00068600 – Data security
00067100 – Machine learning
00064200 – Data loss
00062000 – Randomization
00058200 – Probability distribution
00045400 – Normal distribution
00042600 – Problem solving
00042300 – Computer data storage
00031900 – Missing data
00029100 – Data quality
00026300 – Data integration
00026100 – Table (information)
00025500 – Bar chart
00019400 – Business intelligence
00018000 – Unstructured data
00018000 – Data validation
00017000 – Scatter plot
00015900 – Data visualization
00013900 – Sensitivity analysis
00013400 – Data (computing)
00012500 – Pie chart
00009270 – Big data
00009090 – Data editing
00007930 – Hypothesis testing
00007800 – Descriptive statistics
00005550 – Control chart
00005500 – Line chart
00004300 – Statistical inference
00004180 – Scatterplot
00003870 – ANCOVA
00003350 – Small multiple
00002880 – Predictive analytics
00001760 – Simply Measured
00001590 – Generalized linear model
00001560 – Text analytics
00001550 – Boxplot
00001240 – Type 1 error
00001060 – Qualitative research
00001010 – Exploratory data analysis
00000923 – Area chart
00000820 – Data science
00000744 – Pareto chart
00000577 – Data Visualization Software
00000569 – Process theory
00000559 – Inferential statistics
00000499 – Data scraping
00000475 – Data governance
00000405 – eDiscovery
00000395 – Type I and type II errors
00000370 – Mutually exclusive events
00000358 – Data Entry Software
00000350 – Response rate (survey)
00000336 – Run chart
00000254 – R (programming language)
00000233 – Sparkline
00000171 – Pentaho
00000145 – rx Medical
00000131 – SciPy
00000130 – TIBCO Spotfire
00000104 – RapidMiner
00000103 – Cognitive bias
00000090 – Host Analytics
00000090 – Confirmation bias
00000069 – KNIME
00000061 – Lex Machina
00000054 – Crimson Hexagon
00000050 – Datameer
00000048 – Big Data Software
00000045 – Propensity score matching
00000045 – Financial statement analysis
00000012 – Data wrangling
00000003 – Alteryx
00000000 – Social Media Marketing Software
00000000 – SalesHandy
00000000 – Keen IO
00000000 – Hosted Elasticsearch
00000000 – eDiscovery Point
00000000 – Doing Data Science
00000000 – Content Marketing Software
00000000 – CloudCherry Analytics
Books in print:
00129617 – Problem solving
00069206 – Standard deviation
00024883 – Probability distribution
00020785 – Normal distribution
00019030 – Regression analysis
00016714 – T test
00016607 – Qualitative research
00014584 – Machine learning
00010522 – Test method
00010321 – Bar chart
00009729 – Sensitivity analysis
00009434 – Business intelligence
00009274 – Descriptive statistics
00008026 – Big data
00007988 – Hypothesis testing
00007883 – Pie chart
00006190 – Data system
00006072 – Median
00005156 – Statistical inference
00005106 – Data security
00004957 – Missing data
00004841 – Data (computing)
00004818 – Scatter plot
00004628 – Histogram
00004330 – Data quality
00003630 – Control chart
00003597 – ANOVA
00003572 – Type I and type II errors
00003412 – Measuring instrument
00002472 – Line chart
00002451 – Process theory
00002420 – Data integrity
00002177 – Inferential statistics
00002131 – Confirmation bias
00002061 – Data integration
00002015 – Data visualization
00001926 – Data loss
00001769 – Generalized linear model
00001736 – Mutually exclusive events
00001528 – Financial statement analysis
00001509 – Pareto chart
00001455 – Exploratory data analysis
00001330 – Randomization
00001203 – Predictive analytics
00001186 – Data validation
00001133 – Data science
00001051 – Scatterplot
00000882 – Run chart
00000835 – Area chart
00000821 – Cognitive bias
00000759 – Unstructured data
00000683 – Boxplot
00000679 – Propensity score matching
00000491 – Type 1 error
00000377 – Data governance
00000356 – Sparkline
00000336 – Response rate (survey)
00000314 – ANCOVA
00000307 – Text analytics
00000291 – Table (information)
00000241 – eDiscovery
00000233 – R (programming language)
00000233 – Computer data storage
00000145 – Small multiple
00000142 – SciPy
00000119 – Pentaho
00000113 – Data editing
00000059 – RapidMiner
00000053 – Data Entry Software
00000052 – Simply Measured
00000036 – Data wrangling
00000035 – KNIME
00000035 – Big Data Software
00000034 – Data Visualization Software
00000031 – TIBCO Spotfire
00000022 – Crimson Hexagon
00000020 – Doing Data Science
00000019 – Data scraping
00000013 – rx Medical
00000008 – Datameer
00000007 – Social Media Marketing Software
00000007 – Lex Machina
00000005 – Keen IO
00000004 – Content Marketing Software
00000004 – Alteryx
00000003 – Host Analytics
00000000 – SalesHandy
00000000 – Hosted Elasticsearch
00000000 – eDiscovery Point
00000000 – CloudCherry Analytics
Instruction and courseware available content:
03500000 – Big data
03060000 – Data science
00920000 – Machine learning
00499000 – Problem solving
00306000 – Median
00166000 – Data system
00164000 – Business intelligence
00146000 – T test
00128000 – Predictive analytics
00115000 – Standard deviation
00109000 – ANOVA
00100000 – Histogram
00100000 – Data visualization
00084600 – Normal distribution
00062200 – Pie chart
00061000 – Hypothesis testing
00056300 – Data security
00046900 – Bar chart
00043300 – Data validation
00037900 – Regression analysis
00037400 – Data quality
00037400 – Data loss
00037100 – Data integration
00037000 – Qualitative research
00033500 – Descriptive statistics
00031300 – Probability distribution
00026900 – Randomization
00025700 – Computer data storage
00021300 – Scatter plot
00020500 – Inferential statistics
00020400 – Boxplot
00019200 – Pentaho
00019200 – Financial statement analysis
00018700 – SciPy
00017400 – Line chart
00012800 – Scatterplot
00012400 – eDiscovery
00012300 – Missing data
00011100 – Confirmation bias
00010800 – Sensitivity analysis
00010800 – Data governance
00010200 – RapidMiner
00008780 – Test method
00008600 – Text analytics
00008480 – Measuring instrument
00008400 – Unstructured data
00008000 – Content Marketing Software
00007600 – Data integrity
00007430 – R (programming language)
00007430 – Pareto chart
00006460 – Data scraping
00005840 – Mutually exclusive events
00005770 – Social Media Marketing Software
00005410 – Control chart
00005320 – Cognitive bias
00004820 – Alteryx
00004670 – Sparkline
00004530 – ANCOVA
00003940 – Statistical inference
00003470 – KNIME
00003390 – TIBCO Spotfire
00003340 – Exploratory data analysis
00002630 – Type I and type II errors
00002630 – Datameer
00002530 – Area chart
00002410 – Data Entry Software
00002170 – Process theory
00002100 – Data wrangling
00002090 – Type 1 error
00002090 – Data Visualization Software
00001780 – Data editing
00001280 – Run chart
00001080 – Propensity score matching
00001050 – Small multiple
00001040 – Generalized linear model
00001040 – Big Data Software
00000890 – Table (information)
00000847 – Data (computing)
00000746 – Host Analytics
00000704 – rx Medical
00000512 – Simply Measured
00000416 – Doing Data Science
00000340 – Crimson Hexagon
00000227 – Keen IO
00000074 – Lex Machina
00000066 – eDiscovery Point
00000060 – SalesHandy
00000041 – Hosted Elasticsearch
00000024 – CloudCherry Analytics
00000003 – Response rate (survey)
A black swan is an event, positive or negative, that is deemed improbable yet causes massive consequences. In this groundbreaking and prophetic Data analytics report, Blokdijk shows in a playful way that Black Swan Data analytics events explain almost everything about Data analytics, and yet we-especially the experts-are blind to them. In this Data analytics Predictive Analytics Report, Blokdijk offers tools to navigate and exploit a Black Swan Data analytics world.
Start with Big Data Software, Unstructured data, Crimson Hexagon, and make the above top Predictive Analytics results happen:
Access all the Data analytics Prescriptive Analytics Big Data Software, Unstructured data, Crimson Hexagon, blueprints, presentations and templates and much more in The Art of Service LAB theartofservice.co/lab. Sign up for 7 days free today.
Breakouts in the Continual Service Improvement predictive analytics are ServiceTitan, ServiceNow Express, Freshservice. Seriously consider these technologies to gain a strategic advantage.
The technologies who are at the peak of their interest are ServiceNow Express, Smart Service, Call of Service.
By far most employment needs are found in the Customer Service Software, Help Desk Software, Maintenance Management Software technologies.
These 3 fields have the most active practitioners who have the specific skill set or experience: Call of Service, Help Desk Software, Customer Service Software.
Help Desk Software, Live Chat Software, QFM lead in searches for information online.
These three technologies are receiving the highest investments to gain clients: Help Desk Software, Field Service Management Software, Online CRM Software.
These three technologies have the most active advertisers: IT Service Software, Field Service Management Software, Online CRM Software.
In patents, these three technologies have the most coverage Field Service Management Software, Customer Service Software, Maintenance Management Software.
The most publications are available for Call of Service, IT Service Software, eEMS.
Instruction and courseware availability is highest in these technologies: QFM, Smart Service, eEMS.
The Continual Service Improvement report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.
CSI continually improves the effectiveness and efficiency of services and processes. As per ITIL 2011, the following main processes are part of the ITIL stage Continual Service Improvement (CSI): Service Review. Process Objective: To review business services and infrastructure services on a regular basis.
The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Continual Service Improvement’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.
The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.
The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.
100 – ServiceNow Express
093 – Smart Service
085 – Call of Service
Google Trends data for gauging mindshare and awareness, the numbers are relative to their maximum (100), meaning number 100 has maximum interest right now and number 50 has half the interest it had from its peak of 100.
Employment Demand:
Leaders:
000273 – Customer Service Software
000271 – Help Desk Software
000194 – Maintenance Management Software
Open employment opportunities on the date of this report for the subject. Indicator of the need of employers for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Active Practitioners:
Leaders:
00015992 – Call of Service
00007948 – Help Desk Software
00004980 – Customer Service Software
Number of practitioners and professionals which have the subject skill set and experience. Indicator of the need of employers (and availability of employees) for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Monthly Searches:
Leaders:
008100 – Help Desk Software
004400 – Live Chat Software
003600 – QFM
How often a month a search is performed for the keyword/phrase: and indicator of interest in the subject.
Cost per Click:
Leaders:
034.40 – Help Desk Software
030.68 – Field Service Management Software
025.49 – Online CRM Software
CPC: The average amount advertisers pay Google anytime someone clicks their own ad for this keyword. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
Active Advertisers:
Leaders:
059 – IT Service Software
051 – Field Service Management Software
046 – Online CRM Software
This shows how many unique advertisers have appeared on this subject in the last 12 months. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
Patents:
Leaders:
00001220 – Field Service Management Software
00001220 – Customer Service Software
00000830 – Maintenance Management Software
Patents issued for the specific subject. Indicator of R&D investments and innovation in the specific subject.
Books in print:
Leaders:
00001846 – Call of Service
00000909 – IT Service Software
00000631 – eEMS
Number of in-print books that cover the subject. Indicator of the need for knowledge sharing and its availability.
Instruction and courseware available content:
Leaders:
00011900 – QFM
00011400 – Smart Service
00009900 – eEMS
Number of instruction and courseware available content that covers the subject. Indicator of the need for knowledge sharing and its availability.
Complete Overview:
Interest and Popularity
100 – ServiceNow Express
093 – Smart Service
085 – Call of Service
078 – ServiceM8
063 – Freshservice
045 – ServiceTitan
039 – Contract Alert
034 – Weemss
034 – ServSuite
032 – Customer Service Software
027 – Transwide
027 – IT Service Software
025 – Worksheet Systems
022 – QFM
020 – Online CRM Software
018 – ePly
017 – Live Chat Software
017 – Field Service Management Software
017 – EHS Management Software
016 – WorldShare Management Services
016 – ServiceBridge
015 – EMS Software
014 – Remote Support Software
010 – nService
010 – Maid Service Software
009 – PX3000
008 – eEMS
006 – Maintenance Management Software
006 – Help Desk Software
005 – Professional Services Automation Software
005 – iJEMS
005 – Hosted LMS
Employment Demand:
000273 – Customer Service Software
000271 – Help Desk Software
000194 – Maintenance Management Software
000055 – Smart Service
000040 – EMS Software
000034 – Remote Support Software
000020 – nService
000019 – Field Service Management Software
000018 – Live Chat Software
000016 – ServiceTitan
000007 – Freshservice
000006 – ServSuite
000006 – eEMS
000005 – Professional Services Automation Software
000005 – Online CRM Software
000003 – ServiceNow Express
000002 – WorldShare Management Services
000002 – QFM
000001 – ePly
000001 – Contract Alert
000000 – Worksheet Systems
000000 – Weemss
000000 – Transwide
000000 – ServiceM8
000000 – ServiceBridge
000000 – PX3000
000000 – Maid Service Software
000000 – IT Service Software
000000 – iJEMS
000000 – Hosted LMS
000000 – EHS Management Software
000000 – Call of Service
Active Practitioners:
00015992 – Call of Service
00007948 – Help Desk Software
00004980 – Customer Service Software
00003687 – Smart Service
00002989 – Maintenance Management Software
00001850 – Remote Support Software
00001662 – eEMS
00001614 – EMS Software
00000787 – QFM
00000499 – Live Chat Software
00000449 – Transwide
00000371 – IT Service Software
00000362 – Field Service Management Software
00000234 – nService
00000227 – Professional Services Automation Software
00000207 – Freshservice
00000164 – ServiceTitan
00000155 – Online CRM Software
00000120 – Hosted LMS
00000111 – ServiceNow Express
00000107 – ServSuite
00000091 – WorldShare Management Services
00000080 – iJEMS
00000068 – EHS Management Software
00000066 – Worksheet Systems
00000065 – ServiceM8
00000058 – ePly
00000055 – Contract Alert
00000023 – ServiceBridge
00000010 – PX3000
00000009 – Weemss
00000001 – Maid Service Software
Monthly Searches:
008100 – Help Desk Software
004400 – Live Chat Software
003600 – QFM
002900 – Smart Service
002900 – Remote Support Software
001600 – Customer Service Software
001300 – Field Service Management Software
001300 – ePly
000880 – Maintenance Management Software
000880 – EMS Software
000480 – Online CRM Software
000110 – Professional Services Automation Software
000110 – Maid Service Software
000110 – Hosted LMS
000090 – EHS Management Software
000050 – IT Service Software
000000 – WorldShare Management Services
000000 – Worksheet Systems
000000 – Weemss
000000 – Transwide
000000 – ServSuite
000000 – ServiceTitan
000000 – ServiceNow Express
000000 – ServiceM8
000000 – ServiceBridge
000000 – PX3000
000000 – nService
000000 – iJEMS
000000 – Freshservice
000000 – eEMS
000000 – Contract Alert
000000 – Call of Service
Cost per Click:
034.40 – Help Desk Software
030.68 – Field Service Management Software
025.49 – Online CRM Software
024.57 – Professional Services Automation Software
020.23 – Customer Service Software
015.75 – Maid Service Software
015.25 – Remote Support Software
012.14 – Hosted LMS
010.25 – Live Chat Software
005.19 – IT Service Software
004.51 – EHS Management Software
001.26 – Smart Service
001.00 – QFM
000.79 – ePly
000.65 – EMS Software
000.51 – Maintenance Management Software
000.00 – WorldShare Management Services
000.00 – Worksheet Systems
000.00 – Weemss
000.00 – Transwide
000.00 – ServSuite
000.00 – ServiceTitan
000.00 – ServiceNow Express
000.00 – ServiceM8
000.00 – ServiceBridge
000.00 – PX3000
000.00 – nService
000.00 – iJEMS
000.00 – Freshservice
000.00 – eEMS
000.00 – Contract Alert
000.00 – Call of Service
Active Advertisers
059 – IT Service Software
051 – Field Service Management Software
046 – Online CRM Software
041 – Remote Support Software
041 – Maintenance Management Software
041 – Hosted LMS
039 – Maid Service Software
039 – EHS Management Software
036 – Live Chat Software
033 – Customer Service Software
028 – Professional Services Automation Software
028 – Help Desk Software
023 – EMS Software
010 – ePly
005 – ServiceTitan
004 – Freshservice
002 – Smart Service
002 – ServSuite
001 – Weemss
001 – QFM
000 – WorldShare Management Services
000 – Worksheet Systems
000 – Transwide
000 – ServiceNow Express
000 – ServiceM8
000 – ServiceBridge
000 – PX3000
000 – nService
000 – iJEMS
000 – eEMS
000 – Contract Alert
000 – Call of Service
Patents:
00001220 – Field Service Management Software
00001220 – Customer Service Software
00000830 – Maintenance Management Software
00000537 – QFM
00000506 – eEMS
00000366 – Smart Service
00000132 – EMS Software
00000131 – Help Desk Software
00000105 – ePly
00000099 – Hosted LMS
00000074 – Live Chat Software
00000026 – nService
00000008 – IT Service Software
00000008 – Contract Alert
00000004 – Transwide
00000004 – ServiceBridge
00000003 – iJEMS
00000001 – Worksheet Systems
00000001 – PX3000
00000000 – WorldShare Management Services
00000000 – Weemss
00000000 – ServSuite
00000000 – ServiceTitan
00000000 – ServiceNow Express
00000000 – ServiceM8
00000000 – Remote Support Software
00000000 – Professional Services Automation Software
00000000 – Online CRM Software
00000000 – Maid Service Software
00000000 – Freshservice
00000000 – EHS Management Software
00000000 – Call of Service
Books in print:
00001846 – Call of Service
00000909 – IT Service Software
00000631 – eEMS
00000200 – Help Desk Software
00000085 – Smart Service
00000077 – Customer Service Software
00000038 – Maintenance Management Software
00000030 – Live Chat Software
00000026 – Professional Services Automation Software
00000025 – ePly
00000024 – QFM
00000011 – EMS Software
00000010 – Field Service Management Software
00000008 – Online CRM Software
00000007 – WorldShare Management Services
00000007 – iJEMS
00000005 – Worksheet Systems
00000005 – Remote Support Software
00000003 – Hosted LMS
00000002 – nService
00000001 – Transwide
00000001 – EHS Management Software
00000000 – Weemss
00000000 – ServSuite
00000000 – ServiceTitan
00000000 – ServiceNow Express
00000000 – ServiceM8
00000000 – ServiceBridge
00000000 – PX3000
00000000 – Maid Service Software
00000000 – Freshservice
00000000 – Contract Alert
Instruction and courseware available content:
00011900 – QFM
00011400 – Smart Service
00009900 – eEMS
00006140 – Help Desk Software
00005520 – Live Chat Software
00004530 – Customer Service Software
00002980 – Field Service Management Software
00002750 – Online CRM Software
00002200 – Maintenance Management Software
00001900 – ServiceNow Express
00001030 – ePly
00000882 – Freshservice
00000796 – Remote Support Software
00000664 – ServiceM8
00000596 – ServiceBridge
00000488 – ServSuite
00000437 – PX3000
00000383 – EMS Software
00000274 – WorldShare Management Services
00000259 – ServiceTitan
00000255 – Maid Service Software
00000227 – Call of Service
00000089 – Hosted LMS
00000086 – nService
00000071 – Transwide
00000069 – Professional Services Automation Software
00000066 – Weemss
00000060 – EHS Management Software
00000031 – Contract Alert
00000017 – iJEMS
00000007 – Worksheet Systems
00000003 – IT Service Software
Start with ServiceTitan, ServiceNow Express, Freshservice, and make the above top Predictive Analytics results happen:
Access all the Continual Service Improvement Prescriptive Analytics ServiceTitan, ServiceNow Express, Freshservice, blueprints, presentations and templates and much more in The Art of Service LAB theartofservice.co/lab. Sign up for 7 days free today.
Breakouts in the MQTT predictive analytics are OpenStack, Amazon Web Services, Facebook Messenger. Seriously consider these technologies to gain a strategic advantage.
The technologies who are at the peak of their interest are Machine to machine, Amazon Web Services, OpenStack.
By far most employment needs are found in the Amazon Web Services, OpenStack, IPsec technologies.
These 3 fields have the most active practitioners who have the specific skill set or experience: Amazon Web Services, IPsec, IPv6.
IPv6, Telnet, OpenStack lead in searches for information online.
These three technologies are receiving the highest investments to gain clients: Session Initiation Protocol, Transport layer, OpenStack.
These three technologies have the most active advertisers: Machine to machine, OpenStack, Simple Network Management Protocol.
In patents, these three technologies have the most coverage Internet Protocol, Transmission Control Protocol, Transport layer.
The most publications are available for Internet Protocol, Simple Mail Transfer Protocol, Hypertext Transfer Protocol.
Instruction and courseware availability is highest in these technologies: Facebook Messenger, IPv6, Amazon Web Services.
The MQTT report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.
MQTT is an ISO standard publish-subscribe-based “lightweight” messaging protocol for use on top of the TCP/IP protocol. It is designed for connections with remote locations where a “small code footprint” is required or the network bandwidth is limited. The publish-subscribe messaging pattern requires a message broker. The broker is responsible for distributing messages to interested clients based on the topic of a message. Andy Stanford-Clark and Arlen Nipper of Cirrus Link Solutions authored the first version of the protocol in 1999.
The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you MQTT’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.
The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.
The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.
095 – Machine to machine
091 – Amazon Web Services
084 – OpenStack
Google Trends data for gauging mindshare and awareness, the numbers are relative to their maximum (100), meaning number 100 has maximum interest right now and number 50 has half the interest it had from its peak of 100.
Open employment opportunities on the date of this report for the subject. Indicator of the need of employers for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Number of practitioners and professionals which have the subject skill set and experience. Indicator of the need of employers (and availability of employees) for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Monthly Searches:
Leaders:
165000 – IPv6
135000 – Telnet
110000 – OpenStack
How often a month a search is performed for the keyword/phrase: and indicator of interest in the subject.
CPC: The average amount advertisers pay Google anytime someone clicks their own ad for this keyword. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
This shows how many unique advertisers have appeared on this subject in the last 12 months. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
Patents:
Leaders:
07330000 – Internet Protocol
00142000 – Transmission Control Protocol
00140000 – Transport layer
Patents issued for the specific subject. Indicator of R&D investments and innovation in the specific subject.
Books in print:
Leaders:
00008899 – Internet Protocol
00006030 – Simple Mail Transfer Protocol
00005811 – Hypertext Transfer Protocol
Number of in-print books that cover the subject. Indicator of the need for knowledge sharing and its availability.
Start with OpenStack, Amazon Web Services, Facebook Messenger, and make the above top Predictive Analytics results happen:
Access all the MQTT Prescriptive Analytics OpenStack, Amazon Web Services, Facebook Messenger, blueprints, presentations and templates and much more in The Art of Service LAB theartofservice.co/lab. Sign up for 7 days free today.
