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The Decision Factor offers insightful comments and observations on analytics—from views on new technology approaches and market dynamics to the latest industry trends driving demand for faster, smarter information analysis. This blog contains personal views, thoughts, and opinions from SAP employees, mentors, and friends working in the area of analytics. It’s not endorsed by SAP nor does it constitute an official communication of SAP.

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How to Get from Data to Decision — Enable Real-Time Analysis

How to Get from Data to Decision—Enable Real-Time AnalysisIn my last two blogs, we discussed two of the three key activities to drive value through analytics—gaining control of your data and delivering the right information to the right people. Now it’s time to explore the third activity—enabling real-time analysis.

Business issues are on-going. Companies must continuously monitor business performance against established targets to identify areas for appropriate action and further analysis. In addition, business users are bombarded on a daily basis with questions that require quick investigation. And many of these questions …
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How to Get from Data to Decision — Leverage “Big Data” Analytics to Thrive in Changing Times

How to Get from Data to Decision—Leverage “Big Data” Analytics to Thrive in Changing TimesOver the next several days, I’ll be writing a series of posts aimed at helping you better leverage analytics to create value for your enterprise.

Create Value from Big Data

There’s no doubt that companies today face an information explosion and a variety of devices to consume that information. But does this data profusion represent an invaluable resource to your business, or is it simply information overload?

Effective business insights can help you spot trends early …
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Are You Ready for the “Real-Time” Customer?

Are You Ready for the “Real-Time” Customer?Mobile phones allow us to always stay connected and deal with just about everything on the fly — we text friends to find them and meet up, for example, and use mobile phone apps on the way out the door to check traffic and transit schedules, make restaurant reservations, and buy movie tickets. However, many interactions still aren’t as “real-time” or as “smart” as most consumers want them to be.

Real-Time Room for Improvement in Old School Service

Recently, I was downtown on a weekend trying …
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Cross-Channel Customer Intelligence Makes Big Data Actionable

Man paying with credit card at grocery storeWhat if you knew exactly who your customers were, what products they wanted, and when they were most likely to purchase them? It would have a huge impact on your marketing and sales strategy and execution!

We now have an unbelievable amount of data on every customer. Each of these data sets opens up a new window on a customer and reveals insights before, during, and after the purchase cycle. But most companies lack the right data, unified platform, or mathematical expertise to accurately predict …
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When Everything Old Is New Again

Originally published August 15, 2012, on SAP Business Trends.

My response to people who talk about real-time information as if it’s the newest innovation on the planet is always the same: where have you been since 1998? That’s the year I discovered the joys of how real-time data can solve tough business challenges. I remember it well, the day I met the clients I’ve come to view as among the most challenging in my entire career so far. As communications manager at a high-technology public relations firm, …
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Big Data: Cutting Through the Hype and Getting Started

Everyone, it seems, is talking about big data (we’re even doing so on The Decision Factor). Why not, there’s a lot of untapped business value in big data. However, a lot of the hype focuses on how to access that data. Again, understandable—it’s a massive beast. But many companies seem to be stuck in analysis paralysis, focusing on an academic discussion of technical approaches for accessing big data rather than concentrating on where they can derive business value from big data today.

So, …
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Faster Information, But at What Cost?

There is a saying in India: Never let your feet run faster than your shoes, which my grandfather was fond of cautioning me with whenever my youthful plans got too ambitious to execute.

I’m reminded of that saying lately as I think about the demand for data acceleration.

Organizations must deal with ever-increasing volumes of transactions and information – often thousands of transactions a second, 24 hours a day.

Any time you have such a high volume, there is an inherent risk, especially in a more strictly …
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