What is Data Aggregation?
Data Aggregation is the process of gathering data and then presenting it in an organized manner for business or statistical analysis.
The data can be gathered from multiple data sources so that we can combine these data sources into a summary for data analysis. This is a pivotal step since the data analysis depends heavily on the quantum and quality of data used. It is important to gather high-quality accurate data to produce conclusive results. Data aggregation is useful for business strategy, pricing, operations, and marketing strategies.
Give some examples of Data Aggregation?
Data aggregation in the financial, stock markets and investment sectors can use data aggregation to gather headlines and article copy and use that data for predictive analytics, to find trends, events, and changing views that could affect the financials of the companies and products. Another example is Web Data Integration which not only extracts and aggregates the data you need, but it also prepares and cleans the data and delivers it in a consumable format for integration, discovery, and analysis. So, if any company needs accurate data from the web, then Web Data Integration is your choice. Other examples are the retail industry, travel industry, etc.
How is Data Aggregation useful?
Data extraction, Modifying or transforming the data in such a way that it corresponds to the specified format for data analysis.
Data visualization and analysis – A visual representation of analysed data and KPIs which can be used for actionable business decisions. You can fluently estimate where your business needs to grow or change with these criteria.
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