Tag Archives: GPS

Nine Forms of Analytics Data That Matter the Most

Big Data takes a lot of forms and shapes, and flows in from all over the place – from the Internet, from devices, from machines, and even from cars. In all the data being generated are valuable nuggets of information.

The challenge is being able to find the right data needed, and being able to employ that data to solve a business challenge. What types of data are worthwhile for organizations to capture?

In his new book, Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams With Advanced Analytics, Bill Franks provides an wide array of examples of  the types of data that can best meet the needs of business today. Franks, chief analytics officer with Teradata, points out that his list is not exhaustive, as there is almost an unlimited number of sources that will only keep growing as users discover new ways to apply the data. (more…)

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Location Data: You Could Either Watch It Happen or Be Part of It

Did you hear about Eilon Musk’s, founder of PayPal, billionaire and visionary extraordinaire,  SpaceX venture and its recent success of the first privately-funded launch of a rocket to re-supply the International Space Station?

Eilon Musk

You may wonder what this has to do with MDM but there is a connection.  Just as forward-thinking as Musk in private space exploration, there are companies who are already exploring on how to use space-based information (geospatial) to deliver higher value to their customers and improved operational efficiency. (more…)

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Standardizing Your Address Quality

In my recent series of posts, I have been noodling on the differences between the concept of an “address,” which implies delivery, and “location,” which provides a much broader view of geographic points in space that have relevance to business or operational activities. In my last post, we looked at the characteristics of each of these concepts and some critical differences.

And to continue those thoughts, as opposed to the level of precision provided by location coordinates, there is lingering ambiguity associated with addresses. For example, with a residential address, we could be talking about any of these points:

  • The location of the mail drop;
  • The location of the front door;
  • The location of the front of the driveway;
  • The median point of the parcel frontage; or
  • The center of the rooftop,

among other potential places. But, as my last set of posts was intended to highlight, there is great importance of high quality location information, and a good starting point is address standardization and cleansing. You need to be able to resolve known addresses into precise locations as well as map locations to their nearest addresses. Yet many organizations don’t have any handle on their own address standardization and cleansing strategy. It might be worth a quick scan and see how many different address cleansing tools are in place, how many people are assigned to manage those tools, and the many different sets of rules used in different business processes. Any replication of utility or functionality might be a sign that it is time to revisit that address cleansing strategy from an enterprise standpoint and standardize on one framework to reduce complexity and duplicative work.

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