business analytics

Achieve Big Results with Big Data

Undoubtedly Big Data is here – and it’s growing even bigger by the second.

People get excited about Big Data, not just because it’s big but also because it holds the promise of providing big impact and return for the business.

But Big Data by itself is of little use. And so far, few organizations have been able to harness it and make a big impact on their business, whether it’s for customer retention, improving financial planning, or optimizing marketing campaigns. (more…)

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Building A Company Culture Driven By Insights

By Jen Cohen Crompton, SAP

A common challenge CIOs and those responsible for business insights and/or innovation face, is that not everyone believes in these solutions – or more specifically, believes that how they do business needs to change and that new processes will provide that competitive edge.

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Bringing Big Data to Life

There’s been a lot of hype and hyperbole around big data in the past few years, with many technology companies jumping on the bandwagon to reinvent themselves and generate new revenue streams.

At SAP, what makes us different is that that big data has been part of our DNA for years, before the term was even coined. Our core ERP solutions laid the foundations for the data-driven economy, enabling the industrialisation of reams and reams of data across industries for the first time.

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The Evolution of Analytics — Then and Now

By Ira Simon,vice president, Partner Marketing & Communications, SAP

Have you ever looked back at an old magazine or an old video and laughed at how much things have changed? This notion is especially true in technology, which evolves more rapidly than almost every other industry. Catch a few minutes of your favorite TV sitcom or drama from just a few years ago and you’ll see what I mean.

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Unleash the Power of Collective Insight

Companies gain no advantage from being data hoarders. It doesn’t matter how much customer data a business can gather and store away. And it doesn’t matter if it’s from social sentiment data, geospatial data, data from log files, or machine data. If all of that data isn’t combined with the organization’s structured data and made available to all business users, it offers no value.

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