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Posts Tagged ‘Data Integration’

Avoiding Common Data Quality Management Mistakes

March 23, 2009 | 0 Comments | Olga Belokurskaya
Implementing a data quality management program is an important step for any organization.

Business Intelligence Predictions for 2009

March 12, 2009 | 0 Comments | Alena Semeshko...
Several analysts from Gartner, Forrester, and TDWI present their view on what to expect this year.

MDM Longs for Data Quality and Solid Grounds

February 20, 2009 | 0 Comments | Alena Semeshko...
What are the current trends for Master Data Management (MDM)? How to implement a successful MDM program? Read on to learn.

Building a Bridge Between Salesforce CRM and QuickBooks

January 14, 2009 | 0 Comments | Michael Fedotov...
Connectors do not matter...The reality is, just the connectors and APIs are not enough to provide data synchronization between the two corporate systems.

The Dos and Don’ts of Data Integration

December 3, 2008 | 0 Comments | Alena Semeshko
Experts give recommendations on how to deal with your database, information life cycle management, and other data integration tools and services.

Implementing a SaaS-Based CRM: Best Practices and Forecasts

December 1, 2008 | 0 Comments | Alena Semeshko...
The SaaS market grows, according to analysts at Gartner and Forrester. Whether you are deploying Salesforce.com or SugarCRM, there are things to keep in mind.

Ignoring Security Harms Data Management

November 26, 2008 | 0 Comments | Alena Semeshko...
Threats—both internal and external—must be taken seriously to protect your data from unwanted access. Security experts suggest a number of recommendations.

Using Apatar to Integrate Data from/to MySQL

November 21, 2008 | 0 Comments | Alex Khizhniak
Today, the Apatar team is proud to announce that it has joined the MySQL Enterprise Connection Alliance (MECA), a partnership program led by MySQL AB.

Data Quality: Upstream vs. Downstream

November 17, 2008 | 4 Comments | Alena Semeshko...
Don’t waste on data quality and master data management.

Solving the Problems Associated with “Dirty” Data

November 14, 2008 | 2 Comments | Alena Semeshko
Pay attention to where you get your customer information from, as well as what you do during the data acquisition process.
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