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Big data 2020

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Big data 2020: What the future of analytics means for the enterprise... …

Big data 2020: What the future of analytics means for the enterprise...
By the year 2020, we will all use 360° views of data . We'll be able to combine structured and unstructured data, allowing subject matter experts to create our own analyses – “analytics for the people”. Preview part of Mike Shaw's eBook about the future of Big Data.

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  • 1. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.1 Big Data 20/20 What the future of analytics means for the enterprise Mike Shaw Director, HP Software Marketing @mike_j_shaw
  • 2. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. By2020, we willalluse 360° viewsofdata. Andwesubject matterexpertswillcreateour ownanalyses–“analyticsfor thepeople”.
  • 3. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Insightcomesfromaconnectedview ofstructureddataandhuman interactiondata. 90% human interaction data 10% structured data
  • 4. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.4 By 2020, we will commonly use a 360° data view Structured : Click-streams Transactions Log files Unstructured : Voice calls Email dialog Social media
  • 5. Weneed toolsfor subject matter experts tocreate theirown analyses Project TITAN is a joint HP Labs / HP Software project with the goal of “analytics for the people” – allowing subject matter experts to create their own 360-degree data analyses. This work is now in full development by HP Software
  • 6. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.6 How “analytics for the people” might work... Choose sources Rinse & repeat (i.e., it’s an experiment) Choose analysis Release Choose visualization
  • 7. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. By2020, everything (notjustapplications) willbeanexperiment. Because of our ability to adjust application, smart device, business process and media (music and video) functionality quickly and reliably, by 2020 we’ll increasingly view these things as experiments.
  • 8. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.8 By 2020, “everything will be an experiment” Smart devices Applications Music and TV Business processes Once our experiment is in production, we need to quickly and accurately determine what works and what doesn’t work. This will allow us to get working on the next version of the experiment as soon as possible.
  • 9. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.9 Learn quickly Learn accurately using... — Maintenance logs — Telemetry — Touch-streams — Social sentiment — Voice interactions — Email interactions And that’s where big data comes in. By 2020 we will routinely use 360° big data to analyze how our experiments are being used. By 2020, “everything will be an experiment”
  • 10. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.10 Some companies are doing this today “... we view our online games as experiments. Big data allows us to quickly and accurately improve our games, based on how our customers experience them” Portman Wills, Chief Data Monger, Game Show Network (maker of online games)
  • 11. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.11 This is how GSN.com zooms around its product cycle Build Limited deploy & test Analyze Full deploy Design Collect 1-5 days 1-10 days 1-3days 3-30 days1-2 days
  • 12. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. By2020, bigdatawillincrease thegearingofinformation workers–bigdatawill “augmenthumans”.
  • 13. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.13 1930 2014 Technology has vastly increased productivity… In 1930, the average agricultural worker could harvest 11 bushels of wheat a day. In 2014, that same worker can harvest 90 bushels of wheat.
  • 14. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.14 Annual labor productivity growth percentage 2.82% mainframe 1.49% minis & PCs 2.70% internet & web 1.0 2.50% mobility & web 2.0 …but information workers have been left behind Each of the four phases of computing has increased productivity by only two or three percent.
  • 15. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.15 Current state Recommend- ation engine Preferences By 2020, big data will know our current state (where are we, what mood are we in, what are we trying to achieve), our preferences (how we like to work and play and travel and eat) and then it will be able to use a recommendation engine taking data from many “360°” data sources to augment us humans.
  • 16. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. For example, big data will be able to help us with our business discussions. In this example, a number of people discussing a new marketing campaign are assisted by big data ... These are the other people in your organization talking about this subject. These people concluded the following: do A then B then C. Shall I summarize your conversation for others? Here are industry best practices for this area.
  • 17. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. By2020, bigdatawilllookfor patternsinthedatafor us. Bigdatawillpredictimpending eventsforus.
  • 18. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.18 Speed variability Sudden unexpected direction changes Driver’s facial expression Hesitation patterns Humans do multi-variant prediction all the time. For example, as we drive, we are looking at every other car, looking for “strange behavior”, thus allowing us to avoid crashes.
  • 19. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.19 Teach the system what a bad event looks like... The first step for our prediction system is to model what a “bad event” (or good event) looks like.x
  • 20. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.20 ...and it will look for the same situation building in the future Once the prediction system knows what it is looking for, we can set it to look across complex data sources searching for this situation to arise.x !?
  • 21. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.21 Applications of this technology will include: IT performance management, IT security anomaly detection, fraud detection, marketing program management, health management, transportation system management, pollution management in cities and proactive parts replacement (like in the oil rig example below)
  • 22. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. But...manypeoplearenervous abouttheprivacyissuesaround increasedcollectionanduse of bigdata.
  • 23. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. In a survey (Pew Research, July 2012), you could either vote “yes, big data is going to be great” or “no – I’m scared about privacy of big data”. 53% said – yes, it’s going to be great. But 39% said they were scared about privacy. That’s a lot of privacy concern. A day in the life of big data
  • 24. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Bigdataisnotasoftware- only problem. Hardwarewillplayahuge parttoo.
  • 25. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HPLabs’hardwareresearch for bigdata Photonics for faster interconnect will allow us to create component interconnect that is tens of thousands of times faster Memristers for universal main memory will allow us to put huge amounts of data very close to our analysis engines Specialized big data task processors HP Labs and HP Software are creating processors that are highly optimized for different data analysis tasks
  • 26. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 11 BigData 20/20 What thefutureof analyticsmeans for theenterprise Interested to learn more? Get the complete chapter for free at... bit.ly/bigdata2020
  • 27. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. www.hp.com/HAVEn bit.ly/bigdata2020

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