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State and Trends of the Analytics Market by Jose Fernandez

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State and Trends of the Analytics Market by Jose Fernandez

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To be updated is not enough for companies today. Organizations must be constantly watching also to the trends in order to predict and forecast the next steps for their business. The following document is a Executive Summary of the current situation but also of the more notable trends that will help to understand the basics of the Analytics Market

To be updated is not enough for companies today. Organizations must be constantly watching also to the trends in order to predict and forecast the next steps for their business. The following document is a Executive Summary of the current situation but also of the more notable trends that will help to understand the basics of the Analytics Market

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State and Trends of the Analytics Market by Jose Fernandez

  1. 1. THE STATE & TRENDS OF THE ANALYTICS MARKET ANALYTICS & INSIGHTS BY JOSE FERNANDEZ, 2016 1
  2. 2. "Four analytics trends to watch in 2016" ITProPortal, 2016 DATA GRAVITY WILL PULL ANALYTICS TO THE CLOUD 2
  3. 3. "The Future of Analytics Leadership" Gartner, 2016. ANALYTICS IS NOT ONLY ABOUT REPORTING ANYMORE 3
  4. 4. "Gartner Says Power Shift in BI and Analytics Will Fuel Disruption" Gartner, 2015 MOST BUSINESS USERS AND ANALYSTS WILL BE ABLE TO ACCESS SELF-SERVICE TOOLS THAT PREPARE DATA FOR ANALYSIS BY 2017 4
  5. 5. "IT Industry Outlook 2016" CompTIA, 2016 CLOUD IS THE NEW ELECTRICITY & THERE IS RENEWED INTEREST IN GAINING INSIGHTS FROM BIG DATA & MAKING DATA-BASED DECISIONS 5
  6. 6. "Operationalizing and Embedding Analytics for Action" TDWI, 2015. ONLY 20% OF ORGANIZATIONS ARE ABLE TO DEPLOY AMODEL INTO OPERATIONAL USE IN LESS THAN 2 WEEKS 20 % 6
  7. 7. "Five top priorities for CIOs in 2016" ZDNet, 2015 THE BIGGEST TALENT GAPS FOR INFORMATION TECHNOLOGY ARE IN 2016 AROUND BIG DATA & BUSINESS KNOWLEDGE 7
  8. 8. "Four analytics trends to watch in 2016" ITProPortal, 2016 SELF-SERVICE DATA PREPARATION WILL REPRESENT 9.7% OF THE GLOBAL REVENUE OPPORTUNITY OF THE BUSINESS INTELLIGENCE MARKET BY 2019 8
  9. 9. "A recipe for the modern data scientist" Information Age, 2015. INDUSTRY WILL NEED AT LEAST 190,000 MORE WORKERS WITH ANALYTICS EXPERTISE & 1.5 MILLION MORE DATA-SAVVY MANAGERS BY 2018 IN THE US ALONE 9
  10. 10. “Why Don’t Buyers Want To Meet With Your Salespeople?“ Forrester anlayst Mark Lindwall, 2014. EXECUTIVE BUYERS FIND THAT 77% OF THE SALESPEOPLE THEY MEET WITH, DON‘T UNDERSTAND THEIR ISSUES AND WHERE THEY CAN HELP
  11. 11. "User Experience, Talent and Analytics among CIO Priorities for 2016" CIO Journal Staff, 2015. USER EXPERIENCE, TALENT & BIG DATA ANALYTICS TOPTHE CIO AGENDA FOR 2016 11
  12. 12. "5 Best Practices for Designing Data-Driven Applications" OpenText, 2014. TO UNDERSTAND THE CUSTOMER JOURNEY AND HOW TO USE IT TO DELIVER RELEVANT DATA IS A KEY BUSINESS DIFFERENTIATOR 12
  13. 13. “The case for behavioral strategy“ McKinsey & Company, 2010. 28 % ONLY 28% OF EXECUTIVES BELIEVES THAT THE QUALITY OF STRATEGIC DECISIONS IN THEIR COMPANIES IS GENERALLY GOOD 13
  14. 14. "10 predictions for the IT Job Market in 2016" TechRepublic , 2015. BIG DATA BECOMES BIGGER DATA, INCREASING THE NEED FOR ENGINEERS WHO SPECIALIZE IN MASSIVE DATABASES 14
  15. 15. "5 data analytics trends to watch in 2016" VentureBeat, 2015. THE NEED TO MANAGE, MONITOR, AND TROUBLESHOOT APPLICATIONS IN REAL-TIME HAS NEVER BEEN MORE CRITICAL 15
  16. 16. "Forecast 2016: Essential data points for the tech year ahead" Computerworld, 2015. BUSINESS ANALYTICS WILL BE A TOP 5 PRIORITY FOR INFORMATION TECHNOLOGY IN 2016 16
  17. 17. "Five top priorities for CIOs in 2016" ZDNet, 2015. CIOS WILL NEED TO FOCUS ON BUILDING PLATFORMS TO SUPPORT ALGORITHMIC BUSINESS IN 2006 17
  18. 18. "Emerging Technologies For Business Intelligence, Analytics, and Data Warehousing" TDWI, 2015 55% OF THE COMPANIES ARE ALREADY USING SELF-SERVICE BUSINESS INTELLIGENCE & 29% ARE PLANNING TO USE IT WITHIN 3 YEARS 18
  19. 19. "Emerging Technologies For Business Intelligence, Analytics, and Data Warehousing" TDWI, 2015 49% OF THE COMPANIES ARE ALREADY USING PREDICITVE ANALYTICS & 37% ARE PLANNING TO USE IT WITHIN 3 YEARS 19
  20. 20. "First 100 Days of a Chief Data Officer" Gartner, 2016 90% OF LARGE ORGANIZATIONS WILL HAVE A CDO OR CHIEF DATA OFFICER BY 2019 20
  21. 21. “The Internet of Things & Business Intelligence Study“ Dresner Advisory Services, 2015. 89 % 89% OF DATA PROFESSIONALS THINK PREDICTIVE ANALYTICS WILL PLAY AN IMPORTANT PART WITHIN INTERNET OF THINGS 21
  22. 22. "The State of Marketing Analytics" VentureBeat, 2015. 67 % 67% OF MARKETING ANALYTICS PROFESSIONALS LEVERAGE BIG DATA AS VERY OR CRITICAL IMPORTANT 22
  23. 23. “Embedded Business Intelligence Market Study“ Dresner Advisory Services, 2015. 95% OF ORGANIZATIONS WANT END USERS TO BE ABLE TO MANAGE THEIR DATABUT ONLY 15% SAY THEY AREHIGHLY EFFECTIVE AT DOING THIS 23
  24. 24. "Global Technology and Industry Research Organization Survey" IDC, 2014 71% OF IT DECISION MAKERS ARE USING, PLANNING, OR RESEARCHING CLOUD SOLUTIONS 24
  25. 25. “Embedded Business Intelligence Market Study“ Dresner Advisory Services, 2015. 81 % 81% OF BUSINESSES AGREE IN THE IMPORTANCE OF EMBEDDED BI WITH 1 IN 4 CONSIDERING IT CRITICAL 25
  26. 26. INDUSTRY CASES 26
  27. 27. "Docs dissatisfied with their EHR systems" Modern Healthcare, 2015 MORE DOCTORS THAN BEFORE AGREE EHRS ARE NEGATIVE INFLUENCES IN THE QUALITY OF THEIR HEALTHCARE: FROM 5% IN 2012 TO 12% TODAY 27
  28. 28. "The Necessity of a Value Chain Model for Health Analytics" Chilmark Research, 2016. HEALTHCARE FOCUS LARGELY IF NOT ENTIRELY ON CLINICAL DATA WHEN SOCIAL, ENVIRONMENTAL & BEHAVIORAL FACTORS COMPRISE UP TO 90% OF A PATIENT’S DETERMINANTS OF HEALTH 90 % 28
  29. 29. "Can Big Data Analytics Save Billions in Healthcare Costs?" Forbes, 2016. BIG DATA ANALYTICS ENABLE MORE THAN $300 BILLION IN SAVINGS PER YEAR IN U.S. HEALTHCARE ALONE 29
  30. 30. "Retail Analytics Market / Global Forecast and Analysis to 2020" Research and Markets, 2015. RETAIL ANALYTICS MARKET IS ESTIMATED TO GROW FROM 2.2 BILLION TO 5.1 BILLION IN 5 YEARS 30
  31. 31. "Scotiabank embraces analytics as it shifts to data-driven strategy" The Globe and Mail, 2016 DATA IS GOING TO DEFINE BANKING IN THE NEXT FIVE TO TEN YEARS $ 31
  32. 32. "Customer Analytics at the Grid Edge" GTM Research, 2015 US UTILITIES INVESTMENT IN CUSTOMER ANALYTICS IS INCREASING FROM LESS THAN $300 MILLION THIS YEAR TO MORE THAN $1 BILLION BY 2018 32
  33. 33. "Story Of A War Foretold: Why We're Fighting ISIS" MintPress News2014. PREDICTIVE ANALYTICS OF SOCIAL INFLUENCE HELPS THE US DEFENSE DEPARTMENT TO MAKE POLICY DECISIONS ABOUT DEALING WITH RADICALISM 33
  34. 34. "2016 Trends to Watch: Telecoms Operations and IT" Ovum, 2015. CUSTOMER EXPERIENCE, ANALYTICS & OPERATIONAL EFFICIENCY TOP IT TRENDS TO EXPECT FROM TELCOS 34
  35. 35. "Redefning Markets: The CMO Point of View" IBM, 2016. 60% OF CMOS PREPARE TO BRING IN MORE DATA DRIVEN INSIGHTS INTO MARKETING CAMPAIGNS IN THE NEXT 3-5 YEARS 35
  36. 36. "Marketers' Ability to Prove Their Impact " ITSMA/Vision Edge Marketing 2014 74% OF MARKETERS CAN'T MEASURE & REPORT ON THE CONTRIBUTION OF THEIR PROGRAMS TO THE BUSINESS 36
  37. 37. "How Predictive Marketing Boosts B2B Business Performance" Forrester, 2015 B2B MARKETERS USING PREDICTIVE ANALYTICS ARE 2.9X MORE LIKELY TO REPORT REVENUE GROWTH AT RATES HIGHER THAN THE INDUSTRY AVERAGE 37
  38. 38. "Quantifying the Impact of Marketing Analytics" Harvard Business School Publishing, 2015 COMPANIES CURRENTLY SPEND 6.7% OF THEIR MARKETING BUDGETS ON ANALYTICS AND EXPECT TO SPEND 11.1% OVER THE NEXT 3 YEARS 38
  39. 39. "The Social Media Spend-Impact Disconnect" CMO Survey, 2016 SOCIAL MEDIA SPENDING IS EXPECTED TO CLIMB TO A 20.9% SHARE OF MARKETING BUDGETS IN 5 YEARS EVEN WHEN ITS ANALYTICS IS NOT YET FULLY INTEGRATED & EMBEDDED 39
  40. 40. "Companies plan to massively increase spend on marketing analytics" VentureBeat, 2015 WHY MARKETERS AREN'TTHAT ADVANCED IN THEIR ANALYTICAL APPROACHES: 3 DIGITAL MARKETERS STAY ATA JOB FOR ONLY 1-2 YEARS, ONAVERAGE 2 GIGANTIC SKILLS GAP IN MOST ORGANIZATIONS AROUND DATA SCIENCE 1 COMPANIES DON'T HAVE VERY FORMALIZED STRATEGIES 40
  41. 41. WHY OPENTEXT ANALYTICS 41
  42. 42. 42
  43. 43. HOW OPENTEXT ANALYTICS WORKS 43
  44. 44. 44
  45. 45. THANK YOU! @gooowest 45

Notes de l'éditeur

  • Data gravity will pull analytics to the cloud – Learn more from ITProPortal at http://goo.gl/iiNbjJ
  • Analytics is not only about reporting anymore. Algorithms will not only provide insights and support decision-making, but will make the decision for you / Learn more from Christy Pettey at http://goo.gl/mJ6vzj
  • Most business users and analysts will be able to access self-service tools that prepare data for analysis by 2017 - Learn more from Gartner http://goo.gl/c2GzmL
  • Cloud is the new electricity and there is renewed interest in gaining insights from big data and making data-based decisions in 2016
  • Only 20% of organizations are able to deploy a model into operational use in less than 2 weeks. Take look at Three Important Takeaways for Embedding and Operationalizing Analytics for Action by TDWI Research's director Fern Halper http://goo.gl/ufRKTP
  • The biggest talent gaps for Information Technology are in 2016 around big data and business knowledge
  • Gartner ensures that the next big market disruption is self service data preparation and that by 2019 it will represent 9.7% of the global revenue opportunity of the business intelligence market. But which tools do OpenText offers now for self-service data preparation & data audit? Here's a few of them http://goo.gl/pTVKsg
  • Industry will need at least 190,000 more workers with analytics expertise and 1.5 million more data-savvy managers by 2018 in the US alone – Learn more from McKinsey&Company at http://goo.gl/kImJS4
  • Executive byers find that 77% of the salespeople they meet with, don’t understand their issues and where they can help – Learn more from Forrester at http://goo.gl/pt3TO1
  • User experience, talent & big data analytics top the CIO Agenda for 2016 – Learn more from CIO Journal at http://goo.gl/Tc4goh
  • To understand the customer journey and how to use it to deliver relevant data is a key business differentiator – Learn more from Opentext at http://goo.gl/ahPRvi
  • Only 28% of executives believes that the quality of strategic decisions in their companies is generally good – Learn more from McKensey at http://goo.gl/F3jVzv
  • Big data becomes bigger data and is increasing the need for engineers who specialize in massive databases – Learn more from TechRepublic at http://goo.gl/sVOnfI
  • The need to manage, monitor, and troubleshoot applications in real-time has never been more critical – Learn more from VentureBeat at http://goo.gl/LEKvl6
  • Business Analytics will be a Top 5 priority for Information Technology in 2016 – Learn more from ComputerWorld at http://goo.gl/Bkzuzr
  • CIOs will need to focus on both building platforms to support algorithmic business – Learn more from ZDNet at http://goo.gl/1D8bhC
  • 55% of the companies are already using self-service business intelligence and 29% are planning to use it with 3 years – Learn more from TDWI at https://goo.gl/S3BDl2
  • 49% of the companies are using predictive analytics and 37% are planning to use it within 3 years – Learn more from TDWI at https://goo.gl/S3BDl2
  • 90% of large organizations will have a Chief Data Officer by 2019 – Learn more from Gartner at http://goo.gl/qq8n8y
  • 89% of data professionals think predictive analytics will play an important part within Internet Of Things – Learn more from OpenText at http://goo.gl/2O8MM5
  • 67% of marketing analytics professionals leverage big data as very or critical important – Learn more from VentureBeat at http://goo.gl/nCBb1v
  • 95% of organizations want end users to be able to manage their data but only 15% say they are highly effective at doing it – Learn more from OpenText at http://goo.gl/acrTGC
  • 71% of IT decision makers are using, planning, or researching cloud solutions – Learn more from IDC at http://goo.gl/7ycuGR
  • 81% of businesses believe in the importance of embedded business intelligence with 1 in 4 considering it critical – Learn more from OpenText at http://goo.gl/B38Xno
  • More doctors tan before agree EHRs are negative influences in the quality of their healthcare: from 5% in 2012 to 12% today – Learn more from Modern Healthcare at http://goo.gl/GAof9I
  • Healthcare organizations focus largely if not entirely on clinical data when social, environmental, and behavioral factors comprise up to 90% of a patient’s determinants of health / The latest report from Chilmark Research at http://goo.gl/3U3Q90 provides a model for building an analytics strategy that includes predictive and visualization for healthcare organizations
  • Big Data Analytics enable more than $300 billion in savings per year in U.S. Healthcare alone - Learn more from Forbes at http://goo.gl/oYYLdx
  • The retail analytics market is estimated to grow from 2.2 billion to 5.1 billion in 5 years – Learn more from Research and Markets at http://goo.gl/kHFJiR
  • Data is going to define Banking in the next 5-10 years – Learn more from The Globe and Mail at http://goo.gl/0o4W6v
  • US Utilities investment in customer analytics is increasing from less tan $300 million this year to more tan $1 billion by 2018 – Learn more from GTM Reasearch at https://goo.gl/MzCEEX
  • Predictable! Find out how predictive analytics of social influence helps the government to make policy decisions about dealing with radicalism – Learn more from MintPress News at http://goo.gl/gdPoui
  • Customer experience, analytics & operational efficiency top IT trends to expect from Telcos – Learn more from Ovum at http://goo.gl/OjtGHT
  • 60% of CMOs prepare to bring in more data-driven insights into marketing campaigns in the next 3-5 years According to a recent IBM Study, CMO will have to become more data-savvy and better at talking with non-marketing people to communicate the marketing strategy – Learn more from IBM at http://goo.gl/PQlhwF
  • 74% of marketers can’t measure and report on the contribution of their programs to the business – Learn more from ITSMA at http://goo.gl/lENG2F
  • B2B Marketers using predictive analytics are 2.9x more likely to report revenue growth at rates higher than the industry average – Learn more from Forbes at http://goo.gl/xpWTkv
  • Companies currently spend 6.7% of their marketing Budget on analytics and expect to spend 11.1% over the next 3 years – Learn more from Harvard Business School Publishing at https://goo.gl/eVYUqG
  • Social media spending is expected to climb to a 20.9% share of marketing budgets in 5 years even when its analytics is not fully integrated & embedded – Learn more from CMO Survey at https://goo.gl/82sA0a
  • Why marketers aren’t that advanced in their analytical approaches:

    Companies don’t have very formalized strategies
    Gigantic skills gap in most organizations around data science
    Digital marketers stay at a job for only 1-2 years, on average

    Learn more from VentureBeat at http://goo.gl/jYA1TP
  • There is huge number of analytics tools which main goal is to solve the mentioned business problems but, which one is best for you? I will tell you why OpenText Analytics is best

  • OPENTEXT™ is the leader in Enterprise Information Management and its RELEASE 16 is the most complete, integrated digital information platform for the enterprise. ANALYTICS SUITE 16 is offered in the cloud, on-premises or in a hybrid environment.

    OPENTEXT™ BIG DATA ANALYTICS main value proposition is speed when processing large amount of data:

    The fastest analysis of big data from multiple data sources is possible because of its columnar database architecture.
    Data can be loaded by frontend or back-end and any user can be enabled to self-service data preparation, data cleansing and data audit.
    Self-service advanced segmentation and predictive analytics through ad-hoc tools and pre-build analysis.
    Easy to report, export, schedule tasks or run campaigns workflows – and of course, seamlessly integrated with OpenText™ Information Hub.

    OPENTEXT™ INFORMATION HUB main value proposition is personalization of embedded reporting:

    Design & Deploy HTML5 data visualizations and embedded business intelligence with easy drag-and-drop user interface.
    Secure personalization and scalability of information, reports and dashboards to any audience size.
    Easy to integrate into any application or device – quicly and seamlessly by leveraging OpenText’s Javascripts or REST APIs.
    Benchmark-proven scalability and performance to accelerate application time to market and improve user adoption.

  • But how OpenText Analytics actually works?
  • The best way to have visual insights of how OpenText Analytics works is through the video tutorials that you can find at Youtube for Big Data Analytics https://goo.gl/LK3g9C or Information Hub https://goo.gl/VDCwLL

    Additionally you can register for a OpenText 30-Day Free Trial of Big Data Analytics at http://goo.gl/1cA4nQ or Information Hub at http://goo.gl/94JG29

    And finally you can also request a Custom Demo with your Own Data by OpenText at http://goo.gl/boIzQn
  • I hope it helped but please contact me if I can do anything more for you!

    Best regards,
    Jose Fernandez

    Contact me @gooowest

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