Big Data, Big Thinking: Pervasive IntelligenceWhat is ‘pervasive intelligence’ and why is it big news for business?

In this webinar, Alys Woodward, Research Director, IDC, and Javier Cuerva, Big Data Evangelist at SAP, explore how analytics is undergoing both an evolution and a revolution, point out the all-important fourth ‘V’ of Value when it comes to Big Data, and reveal why analytics projects are like sports.

SAP Big Data, Big Thinking webinar series

There’s a constant battle to handle higher data volumes, reduce latency and integrate more sources.

Pervasive intelligence in 2014 is no longer focused on front-end business intelligence or end-user self service – it’s about giving broad access to information to as many decision makers as possible in real-time, whether that’s employees within the organization or customers and partners outside.

Evolution or revolution?

Analytics is undergoing both. There’s a constant battle to handle higher data volumes, reduce latency and integrate more sources.

But emerging technologies are becoming available and some technologies that have been around for ages are becoming democratized by coming within affordable reach of more organizations.

Pervasive Intelligence today

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There are three principal types of business processes or workloads to which analytics can be applied:

According to IDC, there are three major business disciplines that harness the power of analytics:

Workloads and opportunities

SAP Big Data, Big Thinking webinar series

2. People (customers, employees) e.g. psychological predictions, personalization of offers and content, next best offer

1. Money (accounts, cash, liquidity) e.g. financial planning

Enterprise Performance Management – plan and analyze Technologies: relational data warehouse with in-memory technology, OLAP, dashboard)

3. Things (products, materials) e.g. predictive maintenance, optimizing assets and operations, demand sensing

Operational intelligence – sense and respond Technologies: Event or Stream processing, rules engine, workflow

Exploration and discovery – model and predict Technologies: Hadoop, NoSQL, schema-less databases, advanced analytics

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Market trends

SAP Big Data, Big Thinking webinar series

Today, the top priority is investing in new storage technologies – suggesting companies are still focusing on the ‘v’ of Volume.

In the next 12 months, companies plan to test or use a Big Data solution in the cloud – up from seventh place in 2013 to top priority in 2014.

Why?

Cloud divides, distributes and delivers technology in a way that democratizes Big Data and allows even relatively small organizations to:

- Take advantage of inexpensive storage

- Analyze as well as access data in the cloud

- Exploit a powerful engine that mid-market or even large enterprise couldn’t afford to run in house and turn CAPEX into manageable OPEX

Line of business purchasing of Big Data services is ramping up. That means IT functions need to stay in touch with business units and guide them towards best practice rather than exposing the business to the risks of shadow IT.

Cloud divides, distributes and delivers technology in a way that democratizes Big Data

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Expectations and realities

No organization achieves Big Data Zen mastery overnight without getting a few analytics projects under their belt first.

SAP Big Data, Big Thinking webinar series

In general, organizations’ expectations of Big Data initiatives are outstripping results. But that’s hardly surprising: it’s a challenge to get value from Big Data as you won’t save or generate millions overnight.

It typically takes many years of practice, a strong analytical culture and the ability to withstand and learn from some failed attempts.

No organization achieves Big Data Zen mastery overnight without getting a few analytics projects under their belt first.

One to watch…

IDC’s research indicates Hadoop has witnessed a dramatic upswing in popularity in the last twelve months, with aggressive plans among organizations for 2015 – a dramatic rate of adoption for a very new technology.

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- Big data is exploding – more user types, more data types, more applications. A hybrid architecture is needed to handle it.

- The connection between IT and lines of business has always been important to the success of analytics – but never more so the case than with Big Data.

- Be realistic about obtainable benefits. Big Data is like a sport – taking part is good but high performance mostly comes from years of training and a little bit of luck.

- Forget the three Vs of volume, velocity and variety: the only V that’s really important is Value – how you plan to monetize Big Data analytics.

Recommendations

Join usParticipate in this webinar series to understand how you can get started with Big Data. Join our expert speakers as they share their insights and guide you through real-world Big Data examples. For detailed information about the Big Data, Big Thinking webinars and to register, go to bit.ly/BigDataBigThinking

SAP Big Data, Big Thinking webinar series

The SAP Big Data Platform: acquire, analyze and act

- Oncologists are using the SAP Big Data platform to detect cancers earlier. They’re accelerating genome analysis on petabytes of data by 408,000 times, to detect variant DNA.

- Pirelli is using Big Data and predictive analytics to save

lives by detecting defects in tires before fatal accidents can occur. Watch on YouTube

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