What is Data Aggregation?

Data aggregation is the process of combining data in a way that then presents itself into a more consumable and understandable form.

Scott Lasica
January 24, 2022

What is Data Aggregation?

Data aggregation is the process of combining data in a way that then presents itself into a more consumable and understandable form.

The data can come from something as simple as a spreadsheet or could be a massive data lake. Once aggregated, users can achieve insights otherwise inaccessible when looking at large amounts of disparate data. These insights can then be used to achieve higher level business objectives such as decisions around product direction or investment allocations. 

Why is Data Aggregation Important?

In today’s world data is everywhere. The number of smart devices from watches to sensors in refrigeration units in stores alone create unthinkable amounts of data. All of that data in and of itself may not be very useful, but once aggregated can be used to determine trends over time or take action when something goes awry. Data is the most valuable currency of our time, but without aggregation becomes as useless as a pen without ink.

Data Aggregation Examples

Data aggregation has been used across all industries for years, but with the dawn of technologies like artificial intelligence and machine learning, things have shifted somewhat dramatically. While it’s still very important to be able to report on aggregated data for things like where people spend time on your web site, rollups of forecasts, and test results, there is a new trend for personalization that has emerged. When building a personalized profile of a user, you collect data around things like what do they click, viewing time, gender, location, who do they follow and many many other things. This data will be aggregated, fed into a model, and then you can provide things like content recommendations or reordering items in a feed to put the posts higher the user is more likely to interact with.


Data Aggregation in Fylamynt

Here at Fylamynt, we aggregate data in several places. In our dashboard we show you graphs of runbook execution with some statistics. We also aggregate data coming from your various monitoring tools and can also pull in data from other logging sources. 

Fylamynt has created the world’s first enterprise ready low code platform for building, running and analyzing SRE cloud workflows. With Fylamynt an SRE can achieve runbook automation for the parts that are the most time consuming, allowing them to make decisions where their expertise is needed. Fylamynt can show you a runbook example, and guide you through creating runbooks.

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