3 benefits and 3 types of data integration

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2. Increase the sample size to make the analysis more accurate and credible
The purpose of some data is to use sampling for statistical analysis to make predictions about the population. By merging data with the same attributes through data integration, the number of samples can be increased and the reliability of the sample's estimate of the population can be improved. For example, brands can send questionnaires through SurveyCake to understand the consumption habits of potential consumers, and integrate this data with data collected from other channels to improve the accuracy of predictions of consumption habits.

3. Improve the quality of decision-making and incorporate more diverse information into decision-making considerations
Different information sources can collect different saudi arabia whatsapp phone number types of data from different angles. For example, when a brand hopes to understand consumers through data, if both online and offline behavioral data can be included in the analysis, it will be able to better understand consumers' behavioral preferences and have a better chance of finding the best contact points. , develop better marketing and sales plans.

How Data Integration Works & Difficulties
There are many benefits to data integration, but companies may encounter some practical difficulties if they want to integrate data themselves. Data from different sources are scattered in different applications and hosted by different organizations. Moreover, the structures of different data are also different, and often require a series of processing. For example, data structure must be standardized to complete data integration. As for unstructured data, it still needs to go through data cleaning and other steps before it can be integrated with structured data.