Big data 2020

© 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

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

By 2020, we will all use 360° views of data . And we subject matter experts will create our own analyses – “analytics for the people”.


Insight comes from a connected view of structured data and human interaction data.

90% human interaction data

10% structured data


By 2020, we will commonly use a 360° data view

Structured : Click-streams Transactions Log files

Unstructured : Voice calls Email dialog Social media

We need tools for subject matter experts to create their own 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


How “analytics for the people” might work...

Choose sources

Rinse & repeat (i.e., it’s an experiment)

Choose analysis Release

Choose visualization


By 2020, everything (not just applications) will be an experiment.

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.


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.


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”


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)


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 days 1-2 days


By 2020, big data will increase the gearing of information workers–big data will “augment humans”.


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.


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.


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.


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.


By 2020, big data will look for patterns in the data for us. Big data will predict impending events for us.


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.


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


...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 !?


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)


But...many people are nervous about the privacy issues around increased collection and use of big data.


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


Big data is not a software-only problem. Hardware will play a huge part too.


HP Labs’ hardware research for big data

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


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Big Data 20/20What the future of analytics means for the enterprise

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Data & Analytics

Big data 2020