Examining the relationship between MDM and customer intelligence

.@philsimon on whether organizations need MDM to gather valuable insights about their customers.

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MDM intersections, Part 1: Data quality

Master data management (MDM) is distinct from other data management disciplines due to its primary focus on giving the enterprise a single view of the master data that represents key business entities, such as parties, products, locations and assets. MDM achieves this by standardizing, matching and consolidating common data elements across traditional and big […]

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In search of the Holy Grail: Sorry Hadoop fans, only MDM delivers single view of customer

Single view of customer. It's a noble goal, not unlike the search for the Holy Grail – fraught with peril as you progress down the path of your data journey. If you're a hotelier, it can improve your customer's experience by providing the information from the casinos and the spa at check-in to better meet your […]

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Does MDM need to be part of your data strategy?

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






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What's the relationship between big data and MDM?

.@philsimon on the collision between the two.






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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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Where should data quality happen?

In my previous post I discussed the practice of putting data quality processes as close to data sources as possible. Historically this meant data quality happened during data integration in preparation for loading quality data into an enterprise data warehouse (EDW) or a master data management (MDM) hub. Nowadays, however, there’s a lot of […]

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IoT: How could your company benefit from real data accuracy?

We had just completed a four-week data quality assessment of an inside plant installation. It wasn't looking good. There were huge gaps in the data, particularly when we cross-referenced systems together. In theory, each system was meant to hold identical information of the plant equipment. But when we consolidated the […]

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Characteristics of IoT data quality

In my last post we started to look at two different Internet of Things (IoT) paradigms. The first only involved streaming automatically generated data from machines (such as sensor data). The second combined human-generated and machine-generated data, such as social media updates that are automatically augmented with geo-tag data by […]

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The Internet of Things and the question of data quality

The concept of the Internet of Things (IoT) is used broadly to cover any organization of communication devices and methods, messages streaming from the device pool, data collected at a centralized point, and analysis used to exploit the combined data for business value. But this description hides the richness of […]

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