Data Aggregation: An Overview

Data aggregation is a process of combining data from multiple sources into a single, coherent dataset. Learn more here.

This post was written on the

Tags that this post has been filed under.

Data aggregation is a process of combining data from multiple sources into a single, coherent dataset. This can be done manually, through a process of manual data entry and consolidation, or automatically, through the use of software that can automatically collect and merge data from multiple sources.

Data aggregation is a powerful tool for businesses and organisations of all sizes. It allows businesses to make better decisions by providing them with a more complete picture of their customers, their operations, and the market as a whole.

There are many benefits to data aggregation, including:

  • improved decision-making
  • better customer insight
  • more efficient operations
  • improved marketing and sales
  • reduced costs

Data aggregation can be used to collect data from multiple sources including:

  • customer surveys
  • transaction data
  • web traffic data
  • social media data
  • customer service data
  • market research data

Data can be aggregated from internal sources, such as customer databases and transaction records, or from external sources, such as social media platforms and market research firms.

Data aggregation is a flexible process that can be customized to fit the needs of any business. The key is to select the right data sources and to use the right tools to collect and merge the data.

Photo by NASA on Unsplash

Like what you're reading?

If you like what you've read, and you're interesting in finding out about working with us, then we'd love to hear from you.

We'd love to share more with you, interested?

Of course!