Melissa Data and Scribe Software Partner to Enhance Data Migration with Data Quality Services

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

“Partnership Extends the Value of Intelligent Customer Data, Delivering Cost-Effective and Easy Integration Across the Enterprise

Rancho Santa Margarita, CALIF – April 30, 2014 – Melissa Data, a leading provider of contact data quality and data integration solutions, today announced its strategic relationship with Scribe Software to deliver better access to business-critical data and power a 360-degree view of the customer.… Read More

Data Cleansing and Simple Business Rules

Blog Administrator | Address Quality, Analyzing Data, Data Cleansing, Data Quality | , , ,

By David Loshin

Having worked as a data quality tool software developer, rules developer, and consultant, I am relatively familiar with some of the idiosyncrasies associated with building an effective business rules set for data standardization and particularly, data cleansing. At first blush, the process seems relatively straightforward: I have a data value in a character string that I believe to be incorrect and I want to use the automated transformative capability of a business rule to correct that incorrect string into a correct one.
Read More

Integrating Analytical Results with Operational Activities

Blog Administrator | Data Enhancement, Data Quality | , , , ,

By David Loshin

We have looked at using enhancement for operational purposes, as well as analytical
purposes, but there are ways that we can merge the two into a hybrid: using
enhanced data for analytics, whose results are incorporated into operational
activities using the same types of enhancements.
Read More

How to Enrich Your Data by Extending the Power of SSIS

Blog Administrator | Uncategorized | , , , , ,

Bad data is a challenge for all organizations. Without data that is reliable, accurate and updated, organizations can’t deliver trusted customer, product and other vital data throughout the enterprise – resulting in waste and operational inefficiencies, less effective sales and marketing, poor customer service and potentially bad business decisions.Read More