Data integration creates a single, unified view of a company's data that a business intelligence application may use to give actionable insights based on the organization's total data assets, regardless of their original source or format. Today, the product of consolidated data through data integration provides users with consistent self-service access to their data. It provides companies with an in-depth analysis of key performance indicators (KPIs), customer journeys, market prospects, and so on. The information obtained during the integration process is frequently stored in a data warehouse.
Why is data integration important to business
Business intelligence programs can draw crucial business insights from a company's historical and current data by utilizing a broad range of information offered through data integration. It can have a direct bottom-line impact by supplying executives and managers with an in-depth knowledge of the company's current operations and the opportunities and threats it meets in the marketplace.
Furthermore, the data integration process is frequently required when engaging with third-party entities such as suppliers, commercial partners, or governmental oversight authorities.
Data Integration today
One key application of data integration in today's IT landscape is enabling access to data stored on outdated systems such as mainframes.
In today's world, businesses generate large amounts of data in the course of their daily operations. Some of it is generated by the company's sales, marketing, and customer service departments. Other parts may result from the company's financial transactions or from its research, development, and manufacturing activities. Each source contributes to a pool of data that, when examined as a whole with data integration, discloses strategically important information.
How can data integration benefit your business
Data integration easily combines information from various sources into useful insights. It efficiently manages data and makes it available to those who need it. A well-designed data integration solution will automate processes and allow the creation of blended datasets without manual coding or tuning. It provides connectivity between a wide variety of sources (including mainframes, Databricks, Snowflake, etc.). It can even be used to optimize other data integration solutions. Creating an integration strategy for both technical and business aspects is crucial to ensuring that your organization's data is used to its full potential.
Mazeworks' Data Integration Services
Mazeworks, the solution provider in open-source integration solutions, provides complete solutions for enterprise data and application integration. Mazeworks solutions are modular and complementing, running on a unified platform and delivering a consistent user experience across apps. Over time your data integration services can grow into comprehensive global data services using Mazework.