Data integration involves combining the organization’s data from different sources to create one usable consolidated stream of data. When well-executed, it results in one accurate view which can be used for data analysis. With DQLabs, data integration is made seamless by utilizing AI powered built-in smart connectors.
Benefits of Data Integration
- Gives a 360-degree view of the organization: This allows the management to make data-driven decisions that can lead to an increase in the organizations’ effectiveness and profitability.
- Utilization of all organization data: Most organizations are not able to utilize all the data that they correct because they can’t make sense out of it in isolation. Data integration brings together data that would otherwise not have been analysed side by side.
- Access to up-to-date and enriched data: Integration enriches the data by cleansing and deduplicating it as well as correcting formatting issues. It also provides real-time integrated data that can be used in strategy adjustment.
- Increases the value of the organization’s data: Because data is integrated and stored in a centralized system, the analyst can identify inconsistencies and come up with a plan of resolving them. They can also recommend changes that are to be made in the individual silos to increase the quality of data that are in them. Over time the process of integration will increase the overall quality and value of the data stored.
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