The application of the Internet of Things, the trend of big data, the development of various SaaS ecosystems, and more online activities have all made the sources of data more diverse, and the amount of data owned by each enterprise has increased rapidly. Organizations that emphasize data-driven will especially have more needs for data utilization, so they will need more data integration. Data integration has three common advantages:
1. Improve work efficiency and save the cost of manual conversion and consolidation of data each time
If data from different sources are not integrated and connected together. then when you want to view and analyze data from different sms services sources at the same time. You will need to manually convert the structure of the data, or even spend time exporting it to another platform to merge the data together. For example, the first-party data collected by the brand itself and the data from Google. Analytics are not integrated. Therefore, every time you want to analyze the performance of a certain activity, you have to export Excel reports separately and then merge the data. This procedure is cumbersome and time-consuming hour. However, after connecting to the API, data from different sources can be automatically synchronized . Which is convenient and time-saving?
2. Increase the sample size to make the analysis more accurate and credible
Some data are used to sample and perform 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 these 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 types of data from different angles. For example, when 4 ai marketing tool application cases 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 bwlists 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.
