摘要： Data integration uses both technical and business processes to merge data from different sources, with the goal of accessing useful and valuable information, efficiently. A well-thought-out data integration solution can deliver trusted data from a variety sources.
Data integration uses both technical and business processes to merge data from different sources, with the goal of accessing useful and valuable information, efficiently. A well-thought-out data integration solution can deliver trusted data from a variety sources. Data integration is gaining ever more traction within the business due to the exploding volume of data and the need to share existing data. It encourages collaboration between both internal and external users and makes the data more comprehensive. Without unified data, creating a single report will require logging into multiple accounts, accessing data from native apps, reformatting and cleansing data — and that’s before the analysis can actually start.
A key factor in making data useful and actionable requires it be available and accessible using a central location. To be fully accessible, the data must be integrated. This is a major principle behind the popularity of “data warehouses.” Most nonprofit organizations lack the bulk data needed to support a data warehouse, but can recognize the value of assuring all useful data is available and accessible.
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Full Text： Dataversity
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