Does MDM need to be part of your data strategy?

.@philsimon on the role of MDM. TLDR: It depends.

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Streaming data analytics: A better way to fight fraud and cybercrime

The numbers are daunting. More than 40 million Americans have their identities stolen each year. Credit card companies lose more than $200 billion annually due to fraud. Cybercrime-related losses exceed $3 million per claim for large companies. If you’re like me, those stats are enough to give pause. To fuel the concern, […]

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The quality of data in motion

I've spent much of my career managing the quality of data after it was moved from its sources to a central location, such as an enterprise data warehouse. Nowadays not only do we have a lot more data – but a lot of it is in motion. One of the […]

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Considerations and tips for big data integration

.@philsimon asks some fundamental questions about taking the next step with #bigdata.






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Data gone awry, Part 1: Will your business data deceive you? 

.@philsimon on whether big data and analytics offer true guarantees.






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Can SAS Data Management get you to soccer on time?

A soccer fairy tale Imagine it's Soccer Saturday. You've got 10 kids and 10 loads of laundry – along with buried soccer jerseys – that you need to clean before the games begin. Oh, and you have two hours to do this. Fear not! You are a member of an advanced HOA […]

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Which comes first, data quality or data analytics?

While it’s obvious that chickens hatch from eggs that were laid by other chickens, what’s less obvious is which came first – the chicken or the egg? This classic conundrum has long puzzled non-scientists and scientists alike. There are almost as many people on Team Chicken as there are on Team […]

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Data quality and cloud computing: What are the risks?

.@philsimon on the specific risks to data quality posed by cloud computing.






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SAS Event Stream Processing with Hortonworks – The future is now

Even the most casual observers of the IT space over the last few years are bound to have heard about Hadoop and the advantages it brings. Consider its ability to store data in virtually any format and process it in parallel. Hadoop distributors, such as Hortonworks, can also provide enterprise-level […]

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Big data, data standards and cross-platform integration

At a recent TDWI conference, I was strolling the exhibition floor when I noticed an interesting phenomenon. A surprising percentage of the exhibiting vendors fell into one of two product categories. One group was selling cloud-based or hosted data warehousing and/or analytics services. The other group was selling data integration products. Of […]

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