M&As can be transformative—but only if the underlying data and systems are securely and intelligently integrated.

Here are three steps toward data integration for good decision-making. 1. Create One Version Of The Truth You need to start by identifying what you want to use the data for.

These leading data virtualization tools help uncover data insights using a combination of data discovery, data modeling, and virtual data integration. Written by eWEEK content and product ...

Integration starts with the data ingestion process and involves steps such as data cleansing, ETL mapping and transformation. SEE: Microsoft Power Platform: What you need to know about it (free ...

The need for efficiencies after mergers and acquisitions affects all IT operations. But data storage also raises issues ...

Monitor your integration At this phase in your data integration process, it’s time to see what’s working and what needs to be tweaked.

Yet organisations’ data scientists and analysts need to combine these sources in a way that allows business users to form a consistent, accurate data picture that supports better decision-making.

Early integration of this data during the military decision-making process provides commanders with a holistic view of personnel, supply status, and maintenance requirements.

As part of the CRN 2025 Big Data 100, we’ve put together the following list of data management and data integration software companies—from well-established vendors to those in startup mode ...

Tighter integration of automatic test equipment (ATE) into semiconductor manufacturing, so that data from one process can be seamlessly leveraged by another, holds significant promise to boost ...

CloverDX is new to the Gartner Data Integration Magic Quadrant and is lowest in the Niche Players quadrant on both the “ability to execute” and “completeness of vision” axes.