Big Data, Big Thinking: The Big OpportunityIt’s not the size of your data, but what you do with it that counts. In this webinar, Cesar Longa from IDC Software and SAP’s Mario Dominguez explore the multi-billion dollar global Big Data opportunity. Cesar shares findings of IDC’s Latin America CXO Barometer study hot off the press, while Mario looks at what’s now and next in the application of Big Data to create business value.

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IDC Latin America CXO Barometer study: key findingsMore insightful, intelligent business

Everyone’s talking about Big Data as if it were a passing fad, but it’s not. Big Data analytics is such a huge phenomenon, we’re barely scratching the surface today.

Customer satisfaction data can be derived from multiple sources: • customer service evaluation• pre- and post-sales contact center data• customer surveys• operational or transactional systems• social networks • other digital media (e-mail, chat,

mobile app analytics, geo-localization, machine sensors)

This data can be used to create contextually relevant, timely, personalized offers. It’s precious and should be treated accordingly.

BUT…most of the data generated via digital marketing campaigns resides in silos, or gets consolidated in spreadsheets – there isn’t a single, reliable platform for providing insights.

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Major challenges

IDC Latin America CXO Barometer study: key findings

Data integration

Data quality

Data security

Missed opportunities

A lack of tools and talent

Business users typically lack the skills and the time required for analytical decision-making

7 out of 10 organizations are failing to identify new business opportunities because they have no lead scoring model in place.

6 out of 10 lack the tools to determine the revenue impact of marketing campaigns.

4 out of 10 organizations still haven’t mobilized any of their sales applications.

46% need help from IT to make sense of their data, or resort to spreadsheets for analysis and reporting because there are no self-service tools.

31% of organizations have a dedicated business intelligence position rather than putting analytics into the hands of non-technical users.

What is needed to meet business imperatives?• Anytime, anywhere access to

self-service analytics in real-time• Contextually-relevant

enterprise applications• Location-based services• Alerts and notifications• Workflow automation• Intelligent systems and devices

The three biggest challenges for Big Data analytics are:

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Technology initiatives increasingly funded by the business

The business, rather than IT, now funds 61% of technology projects – sometimes for business-driven initiatives, often for joint projects with IT, but increasingly using shadow IT (17%). Business leaders are driving data requirements, analytics and output right from the start. Only 19% of projects are funded and driven solely by IT.

IT/Business alignment

The top business priorities for CXOs are:

#1 operational efficiency and productivity

#2 cost savings

CIOs and CTOs share these same priorities in reverse, and are increasingly looking to become business enablers rather than technology gatekeepers.

Transformational IT requires…• Information integration• Infrastructure efficiency• Automation• Analytics

…all of which must combine to enable decision makers to answer business questions in hours, not weeks or months.

IDC Latin America CXO Barometer study: key findings

IT spend breakdown

Business funded 61%

IT funded39%

19%

17%

ShadowIT

SolelyIT

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Big Data isn’t about the size of the data pool – it’s about the analytics. So even half a terabyte can still be classified as ‘Big Data’. Analytical applications have emerged as the #1 use for Big Data.

Big Data 2.0 – a glimpse into the future

Big Data 1.0

Big Data 1.0 has been characterized by:• the indiscriminate capture and storage

of data without first determining its value, thanks to the growing affordability of storage

• new types of data, which present new opportunities for analytics

• data discovery and data provisioning becoming common in most organizations

Big Data 2.0

Big Data 2.0 is all about speed, quality and the apps through which information is delivered. One day, data cleansing projects may become a thing of the past if we can capture all data at source, including: • enterprise transactions• social data• the Cloud• the Internet of Things

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IoT data is deep and clean, allowing us to analyze it and put it to work in previously unthinkable ways. Use cases already in practice today include:

The Internet of Things

Health applications

Today, IoT is being used to prevent Sudden Infant Death Syndrome by using sensors embedded in a baby’s pyjamas to monitor vital signs (temperature, heart rate and respiration). If an anomaly is detected, an alert can be sent to the parent’s device that something is wrong.

Smart machinery

Sensor data is already being applied to real-time asset monitoring, to drive predictive maintenance programs and agile logistics. And intelligence is being embedded within ‘smart products’ to notify users when to replace consumables and optimize usage.

Connected vehicles

Already a reality, connected vehicles can talk to each other via protocols to avoid collisions, encourage safer driving and parking, monitor tire condition in real-time, and enable innovative models such as pay-as-you-go insurance.

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How SAP are using Big Data

The National Centre for Tumor Diseases analyzes Big Data using a custom-built application – Patient Data Explorer powered by SAP HANA – enabling it to develop individualized therapies against cancer.

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Big Data will only get bigger – IDC estimates by 2020, global data will reach 40 ZB. That’s

If you missed this live webinar, you can watch it on-demand.

What’s next?

47,223,664,828,696,400,000,000bytes. But 0.5 TB – around the volume of the Yellow Pages – can also be Big Data.

The SAP HANA platform for Big Data can converge any volume of data from any source, process it, analyze it and expose it to any application in real-time.

Join usWhy not register for the next event in our Big Data, Big Thinking webinar series and join our expert speakers as they share insights and show you how to get started with Big Data. Visit bit.ly/BigDataBigThinking

SAP Big Data, Big Thinking webinar seriesCopyright statement – © 2014 SAP SE or an SAP affiliate company. All rights reserved.

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