ten 2015 technology predictions
TRANSCRIPT
Ten 2015 Technology Predictions
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Dr. Rado KotorovChief Innovation Officer, Information Builders
Rick F. Van der LansIndependent Analyst, R20/Consultancy BV
15 January 2015
1: IoT Gains Momentum
Prediction: IoT Will expand significantly in manufacturing, energy sector, healthcare, logistics, and other industries.
Fact: GE has generated $1 billion in incremental revenues form IoTand PaaS in 2013.
Action: IoT data can be cost effectively gathered in columnar high performance databases (like Hyperstage) for quick analysis, discovery, and experimentation.
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Imagine the possibilities in a hyper-connected world…..
1: IoT Gains Momentum
Connected devices include thermostats, cars, lights, alarms, shoe insoles
Car industry example Currently each vehicle has
60-100 sensors Future: 200 sensors per car 2020: Total 22 billion sensors
used in the automotive industry
Cisco: 37 billion new things will be connected by 2020
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Imagine the possibilities in a hyper-connected world…..
2: Dealing with the data deluge
Prediction: Most data will be analyzed before it is fully processed and put into a data warehouse. Social and unstructured data are becoming more analytically accessible.
Fact: The volume of business data worldwide, across all companies, doubles every 1.2 years.
Action: Adopt a data lake approach – access and analyze first, and integrate later. Use search-BI tools to create apps for structured and unstructured data analytics.
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Imagine when data flows in from everywhere…
2: Dealing with the data deluge
Tools must allow us to sort and find quickly
Complex, multi-step architectures are not flexible enough
Integrated solutions required to avoid reinventing the wheel
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Imagine when data flows in from everywhere…
3: Apps and self-service
Prediction: Most companies will implement different self service for different stakeholders – tools for the analysts and apps for front line employees.
Fact: BI has a less than 30 percent adoption rate in the enterprise today.
Action: Turn analysis and insights into custom InfoApps for on-the-job decision support.
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Analysis and insights
create opportunities!
Operational apps create
value by changing behavior!
3: Apps and self-service
Self-Service for the masses
Self-service is moving upstream and must move downstream
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Analysis and insights
create opportunities!
Operational apps create
value by changing behavior!
4: The analytics skills gap
Prediction: Companies will not be able to fill the skill gap. Therefore, CDOs and CAOs will try to commoditize analytics.
Fact: The demand for people with deep analytical skills is 10 times greater than supply.
Action: Commoditize analytics with infoapps and appstorelike portals for employees.
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Finding and hiring good data scientists…
4: The analytics skills gap
Data is still considered a by-product Data is produced for internal
consumption only
Data must be regarded as a key product
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Finding and hiring good data scientists…
5: Machine learning
Prediction: To bridge the skills gap and to cope with highly dimensional data deluge companies will adopt machine learning
Fact: IBM Watson is here and ready for business
Action: Use machine learning in combination with data discovery to explore the field and provide faster time to market analytics
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“Robots will be smarter than humans within 15 years,
Google’s new chief on artificial intelligence has claimed.”
5: Machine learning
Many BI systems only do reporting
ROI of reporting hard to calculate
Analytics is the way to go
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“Robots will be smarter than humans within 15 years,
Google’s new chief on artificial intelligence has claimed.”
6: Master data management (MDM)
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The quest for the golden record… Prediction: The implementation
cycles for MDM will shrink drastically from a couple of years to a few months with new and innovative approaches.
Fact: Miscoding and billing errors from doctors and hospitals totaled $20 billion in USA.
Fact: The average billion-dollar company is losing $130 million a year due to poor data management.
Action: Adopt an MDM platform with built in templates, wizards & best practices approach.
6: Master data management (MDM)
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The quest for the golden record… MDM will only be a success if
it’s setup in a flexible way, technologically and organizationally
Vote:
How successful is your MDM Strategy?
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7: Data warehouse decline
Prediction: Unmodelled data analytics will grow due to competitive pressure. NoSQL, Columnar and in-memory offer alternatives to DW for many use cases.
Fact: Relational databases still dominate the market, but 30% to 35% of enterprises have invested in big data. Is it a tipping point?
Action: Conduct powerful analytics against columnar, in-memory, and Hadoop using standard query and analysis tools.
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Imagine how quickly data can be analyzed if data modeling
and schemas were not necessary….
7: Data warehouse decline
The future is for the LogicalData Warehouse Multiple data sources using
different storage technologies together forming one logical database
Big data is too big to move
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Imagine how quickly data can be analyzed if data modeling
and schemas were not necessary….
8: Tech gets personal
Prediction: The benefits of predictive analytics are great, but many companies will be lured to buy easy to use tools, ignore the pitfalls, and fail.
Fact: Deloitte research shows more than 60% of companies have experienced project failure.
Action: Implement verification processes and commoditize analytics with expert certified InfoApps.
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Is your prediction scientifically sound?
Vote:
What percentage of your users are accessing BI on mobile devices?
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9: Mobile workforce
Prediction: Gartner predicts that over 50% of BI users will be mobile users.
Fact: BI Scorecard: “BI adoption as a percentage of employees remains flat at 22%, but companies that have successfully deployed mobile BI show the highest adoption at 42% of employees.”
Action: Offer self-service BI with an appstore like portal and InfoApps.
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If BI and analytics could be downloaded from an appstore?
9: Mobile workforce
The ROI of mobile analytics is not clear
Mobile analytics and consumer-driven analytics could become a marriage made in heaven
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If BI and analytics could be downloaded from an appstore?
Vote:
What percentage of your users do you think will be accessing BI on mobile devices in 2 years time?
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10: The CIO transformed
Prediction: Successful CIOs will transform their roles into business leadership roles and eventually become CEOs.
Fact: Of 384 hospitals only one selected the CIO as the next CEO in 2014.
Fact: GE CEO says, “Every company will be a software company.”
Action: Use software to transform processes, organizational culture, customer facing experience, and to monetize data.
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The rise of the techno-leader
10: The CIO transformed
More in-depth knowledge of technology needed on c-level
What can we learn from the CEOs of Google, Facebook, and Twitter?
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The rise of the techno-leader
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Discussion
Further Resources
Blog post: Gartner’s 2015 Tech Trends Lead To Pervasive BIWebinar: Big Data + Enterprise Data = Big Information, 15 January 2015, 14.00 GMT / 15:00 CET
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Questions?
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Rick F. van der Lans, R20/Consultancy BV@rick_vanderlansRado Kotorov, Information Builders@rado_kotorov
