Tag: Metadata | Global Intelligence Blog

Big Data Means Big Challenges

Melissa Team | Analyzing Data, Analyzing Data Quality, Big Data, Data Quality | data quality issues, Melissa Data, Metadata

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.

You Can’t Identify the Problem Without a Scorecard

Blog Administrator | Analyzing Data Quality, Data Management, Data Quality | accuracy, completeness, data management, data quality, data quality managers, data quality standards, Metadata

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.

Tokenization and Parsing

Blog Administrator | Address Standardization, Data Quality | algorithm, data patterns, format, Metadata, parsing, standardization, syntax, tokenization, valid data

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.

How to Slam Dunk Data Management

Blog Administrator | Uncategorized | data integration, integrated platform, Metadata

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.… Read More

Webinar Overview of Data Quality Tools/Components for SSIS

Blog Administrator | Uncategorized | cleanse contact data, data governance, data quality, data quality components, data quality tools, demographic data, enrich data, match data, Metadata, profile data, standardize, unacceptable data

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