What is data integration?

Data integration is the process of combining data from many different sources into an application. You need to deliver the right data in the right format at the right timeframe to fuel great analytics and business processes.

A data integration project usually involves the following steps:

  • Accessing data from all its sources and locations, whether those are on premises or in the cloud or some combination of both.
  • Integrating data, so that records from one data source map to records in another (e.g., even if one dataset uses “lastname, firstname” and another uses “fname, lname,” the integrated set will make sure both end up in the right place). This type of data preparation is essential for analytics or other applications to be able to use the data with any success.
  • Delivering integrated data to the business exactly when the business needs it, whether it is in batch, near real time, or real time.

Need for Data Integration:

Data is at the heart of your business. Today more than ever companies need reliable data to make timely, insightful decisions and stay ahead of the curve. With exploding data sources, complex data types, and increasing data volumes, integrating data from disparate sources and getting value from that data has become even more challenging.

A high-performance, agile data integration platform is the key to your business success—a platform that will scale to expanding business needs and solve business problems such as customer churn, campaign effectiveness, fraud detection, and sales optimization.

enterprise-data-integrationSYNTAX Offerings

We bring expertise and experience in implementing data integration solutions for the customer.

  • Access all your fragmented data, create an accurate and consistent view of core information assets, and easily leverage these assets across the enterprise to drive business decisions and operations.
  • Implements a highly available and scalable platform for accessing, discovering, cleansing, and integrating data from virtually any data source, in any format and delivering that data through the enterprise at any speed.
  • Provide methodologies, best practices and proven solutions covering all aspects of enterprise data integration covering architectural as well as delivery solution.