Blog-on-Digital-Transformation

Blog on Digital Transformation

Approaching Operational Data Integration

August 8, 2009 | 0 Comments | Olga Belokurskaya...
Traditionally, data integration is mostly used for data warehousing and BI. However, it is not limited to these business-critical areas.

What Makes CRM Projects Fail

August 4, 2009 | 0 Comments | Olga Belokurskaya
Learn why customer relationship management does not meet its goals, as well as how to improve this.

The Three Most Common Problems Faced During Data Migration

June 29, 2009 | 0 Comments | Ludmila Radzevich
The differences between CRM systems, such as GoldMine and Salesforce.com, as well as the quality of data, bring in a number of challenges for integration experts.

Open-Source Data Warehousing: Pros and Cons

June 24, 2009 | 0 Comments | Olga Belokurskaya
Getting the most out of an open-source data warehouse is harder than it seems. Learn about the hidden issues along with the benefits.

Altoros Assists in Sun Microsystems Panel on Java UI Automated Testing

June 9, 2009 | 0 Comments | Alex Khizhniak
Participants exchanged their opinions on automation of Java application interface testing and its challenges, as well as explored the Jemmy library and its features.

Aberdeen Group Outlines Four Hidden BI Cost Factors to Avoid

June 1, 2009 | 0 Comments | Olga Belokurskaya
A recent report reveals what adds to an enterprise's TCO year after year, as well as how data integration and focus on the user can help minimize the expenditures.

Altoros Supported Three Days of Adobe in Belarus

May 16, 2009 | 0 Comments | Alex Khizhniak
The joint meeting aimed at unifying the Adobe developer community to share tech expertise, as well as discuss the latest trends of Adobe Flash Platform.

10 Common Data Integration Mistakes

May 15, 2009 | 0 Comments | Olga Belokurskaya
Companies are missing out on the most valuable benefits of data integration due to poor strategy.

Gartner Says Most Companies Fail to Link BI to Decision-Making

There are still issues with getting the maximum value from business inteligence systems and connecting IT with corporate needs.

The Reasons for Poor Data Quality

Learn which areas of the information flow within an enterprise require the most attention.
4-248x270-1.png