Modernization requires unification

.@philsimon channels his inner Queen Latifa.

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ETL and data warehouses are dead! Long live ETL and data warehouses!

Why they will still play a valuable role in organizational data-management and -integration efforts.






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Modernization starts at the top

Absent a strong executive presence, most mature organizations will continue to muddle through data integration.






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Thoughts on data scientists, data modernization and golf

What's more, CXOs who believe that they can substitute data scientists for real data integration are as foolish as the duffer who consistently uses the wrong club.






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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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Health insurance, healthcare and pharmaceutical perspective on data quality – Part 2

As I explained in Part 1 of this series, spelling my name wrong does bother me! However, life changes quickly at health insurance, healthcare and pharmaceutical companies. That said, taking unintegrated or cleansed data and propagating it to Hadoop may only help one issue. That would be the issue of getting the data […]

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Should easy access to data change the data strategy?

In the past, we've always protected our data to create an integrated environment for reporting and analytics. And we tried to protect people from themselves when using and accessing data, which sometimes could have been considered a bottleneck in the process. We instituted guidelines and procedures around: Certification of the data […]

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Risks to consider when developing a data strategy – Part 1

Creating a strategy for the data in an organization is not a straightforward task. Not only does our business change – our software solutions also change before we can ever get done with a data strategy. So, I choose to understand that a strategy has a vision, and my vision may change […]

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As the calendar turns – Part 2

In this two-part series, which posts as the calendar turns to a new year, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2016 The Internet of Things (IoT) made significant […]

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Agility in data availability

In my recent posts, I've been exploring the issues of integrating data that originates from beyond the organization. But this post looks at a different facet of extra-enterprise data management: data availability. In many organizations, there's a growing trend of making internal analytical data accessible to external consumers. I can […]

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