In my previous post, I discussed the characteristics of a strong data strategy, the first of which was that a formal, well-defined strategy exists within your organization. This post discusses how often (and why) your organization’s data strategy needs to be updated. While strategy encompasses and sets the overall direction for
With data now impacting nearly every business activity, there should no longer be any doubt that data needs to be managed as a strategic corporate asset. This post examines the top five characteristics of a strong data strategy. Existence As I previously blogged, in today’s fast-moving business world now often takes priority
When my band first started and was in need of a sound system, we bought a pair of cheap yet indestructible Peavey speakers, some Radio Shack microphones and a power mixer. The result? We sounded awful and often split our ear drums from high-pitched feedback and raw, untrained vocals. It took us years
.@philsimon begins a four-part series on the need for a proper data strategy.
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
In this two-part series, which posts as the calendar prepares to turn 2015 into 2016, 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 2015 Big data continued to make
In a recent post, we discussed a number of factors that have expanded the reach of organizations' data management functions beyond the traditional scope of an in-house data center. Increased use of external data sources coupled with growing dependence on cloud computing have created an emerging need to exercise some level
Time. It flies. It does so whether or not you’re having fun or otherwise putting it to good use. To know where it flies, you’d need to watch. But most of us can’t make the time to watch. How we use time is important since it’s the one resource we
I've seen a number of articles and webinars recently that discuss data integration as a cloud-based service. So I thought it was worth exploring what this really means in the context of big data – specifically when the objective is to exploit many sources of streaming data for analytics. My initial reaction
.@philsimon with some thoughts on the panoply of available tools out there.
