Big Data Means Big Challenges

Melissa Team | Analyzing Data, Analyzing Data Quality, Big Data, Data Quality | , ,

By Elliot King

One thing that everybody agrees on is that big data is big. But big may be in the eyes of the beholder. Big does not just mean more information. It means more types of information–unstructured, semi-structured, structured, video, audio, graphical, you name it.

And it means more sources of data–sensors, social media, the Web and so on. And it means more potential for data to have a big impact on an organization economically or otherwise.… Read More

You Can’t Identify the Problem Without a Scorecard

Blog Administrator | Analyzing Data Quality, Data Management, Data Quality | , , , , , ,

By Elliot King

If you can’t measure a process, you can’t improve upon it. That’s one of the ironclad quality initiatives. Edward Deming’s revolutionary insight was that if you can measure a process or outcome continually, you have created the opportunity to improve it continually.

 If you can’t measure a process, you can’t improve upon it. That’s one of the
ironclad quality initiatives.… Read More

Tokenization and Parsing

Blog Administrator | Address Standardization, Data Quality | , , , , , , , ,

By David Loshin

As we have discussed in the previous posts, the data values stored within data elements carry specific meaning within the context of the business uses of the modeled concepts, so to be able to standardize an address, the first step is identifying those chunks of information that are embedded in the values.

This means breaking out each of the chunks of a data value that carry the
meaning, and in the standardization biz, each of those chunks is called a token.… Read More

How to Slam Dunk Data Management

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There’s a new eBook out called, “The Data Management Slam Dunk: A Unified Integrated Platform” from Information Management and sponsored by Talend*.
We highly recommend you download the publication when you get a chance. It details metadata and the benefits of having a unified data management platform – two topics we’ve delved into in this blog and in recent webinars.

In fact, our BI Architect and resident industry expert Ira Whiteside, will cover metadata in a series of seminars sponsored by the Professional Association for SQL Server (PASS).… Read More

Webinar Overview of Data Quality Tools/Components for SSIS

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For those of you who didn’t make it to Melissa Data’s first webinar this morning, here’s what you missed:

Ira Whiteside, a BI architect, and Bud Walker, a product manager for Melissa Data, showed listeners how to reduce the overall total cost of ownership (TCO) of MDM, data quality, metadata, and data governance efforts through the use of Melissa Data’s Data Quality Components for Microsoft’s SQL Server Integration Services (SSIS).… Read More