IT Leadership

Describe, predict and prescribe

10 questions to ask before building an analytical model


“When building an analytic model, it’s easy to get caught up in the grandeur of what you might achieve. But enthusiasm won’t replace a rock-solid foundation,” says SAS’ Laura Squier in this post of the the “Myths and Realities of Successful Analytics” series. She gives some advice on how to get started.

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Your data flock needs a shepherd

Thought leader, SAS Best Practices

One of the most influential factors on human behavior is culture. In the context of data management, far too many organizations have cultures that support secrecy, individual ownership of data, and a willingness to step around formal data management processes. In light of these bad cultural norms, what can you do to improve your data quality?

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Who cares about data?

Who cares about data

“Providing analytical services is somewhat like being a professional translator, helping to convert numbers and trends into something the business can understand and act upon,” says authors of Win With Advanced Business Analytics. They explain an approach that guides analysts to become insightful business partners.

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Can we all be on the same page with data management?

John Taylor, Data Analyst, TPWD

The Texas Parks and Wildlife Department (TPWD) told me how it built an analytical culture in a recent article. During our conversation, TPWD Data Analyst John Taylor also emphasized the importance of a unified data management approach. He explains more in this post.


Big data drives performance – if you can exploit the information overload

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Even seasoned data professionals can find the world of big data overwhelming. A company might be collecting market research interviews, a stream of information from social networks, supply chain data and sales figures from multiple sites.

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IT considerations, big and small

IT considerations, big and small

Just because your business is small doesn’t mean your data problems are—and your analytics solution shouldn’t have to be, either. No matter what size your business is, consider these points when handling your data.

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Solutions to top analytics challenges for executives

Solutions to top analytics challenges for executives

Executives face analytics challenges like data quality, access and security and the continued distance between the business and IT sides of the business. These short webcasts give more details and ways to overcome them.

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Taming the data tidal wave

Phillip Carter

It is becoming increasingly possible to get a fresh perspective on the business when there is deluge of information and data sources. IDC’s Phillip Carter spoke with SAS’ Jim Davis about the pressures facing today’s corporate boardroom to become more competitive.

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Five tips for bridging the business-IT gap


Enterprise analytics can’t be accomplished without engaging IT. Anne Robinson, Director of Supply Chain Strategy and Analytics for Verizon Wireless, offers her advice for bridging the IT and business gap.

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Big data makes everything more complex

Erik Brynjolfsson, Director of the MIT Center for Digital Business, speaking at The Premier Business Leadership Series in Amsterdam.

“Complexity isn’t scalable, but the management of complexity is,” said Dr. Ralf Schneider, CIO of Allianz Group when talking about ways to approach big data. Read more key takeaways from The Premier Business Leadership Series in Amsterdam.

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Business at the speed of life: The era of real-time analytics


Organisations are moving their focus from being product-centric to customer-centric. SAS’ Vincent Cotte recently spoke with the CIO of a leading Asian insurance company who discussed their CEO’s new mantra … the desire to focus on doing business at the speed of life.

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