Report ID: SQMIG45C2037
Report ID:
SQMIG45C2037 |
Region:
Global |
Published Date: March, 2024
Pages:
197
|
Tables:
59 |
Figures:
77
Data Integration Market size was valued at USD 13.87 billion in 2022 and is poised to grow from USD 15.74 billion in 2023 to USD 38.20 billion by 2031, at a CAGR of 13.5% during the forecast period (2024-2031).
Data integration can be referred as the process of merging data from various sources into a single and centralized view. The processes that are involved in data integration are integration are transformation, cleansing, extract, transform, and load mapping. The analytics solutions can also provide useful business intelligence with the help of data integration. Data integration develops a central, single view of a company’s data. This data can be easily accessed by business intelligence application so that they can deliver actionable insights depending on the data assets, irrespective of the source or format. Moreover, a data warehouse is developed from the massive source of information created by the integration procedures. Businesses are gradually understanding that the only practical method to increase the capability of data is by integrating it. Businesses can easily locate and apply the most relevant and accurate information when they have all the required insights in one location. Their potential to tactfully incorporate these insights into their business operations provides them with a competitive edge in the market. Therefore, for businesses to compete in the modern economy, integrated data exposes a layer of connectivity. Companies can accomplish data consistency and seamlessly transfer knowledge by connecting and integrating systems that store crucial data in various departments and locations. It is a great advantage to the firm, encouraging intersystem collaboration for a full view of the organization.
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Report ID: SQMIG45C2037