Data is one of the most powerful assets a company can have in the digital age, and the tools required to collect, analyze and archive data are becoming more integral by the day. A data stack is a collection of tools used to accomplish the aforementioned collecting, analyzing and archiving. Maximize data governance and compliance with our automated data lineage tools. Visit this website now.
Your company’s data stack can include things like automated data lineage tools or applications used to route data to the correct departments. It can also include tools to separate data clusters or combine them. However, if you choose to create your data stack using whatever tools your business finds useful, it’s a good idea to train your employees to use your stack to ensure your business gets the most use out of each component.
A Practical Example of Data Stack Usefulness
As an example of a data stack, consider the problem of determining whether customers prefer one version of your business’ website over another. You want to determine this because you have two different designs in mind, and each has the potential to dramatically increase sales when implemented properly.
You could use A/B testing and then gather user data based on the results. Each version of the website would be shown at the same time each day in the same region to different users. From there, you could use data collection tools in your stack to pull information about how many clicks take place on each version, signifying engagement. You can also collect information using your data stack to measure how long each user spends on each version.
Your company’s automated data lineage tools can then store data to be compared when testing ends. From there, data analytics tools can compile reports to show which version performed better while also modeling potential outcomes if changes are made to each version.
Consult Your IT Department
Because a data stack can mean different things to different companies, it’s a good idea to involve your IT manager and department in selecting the tools your company will use. Finding the right mix of applications can take some time and planning, but it’s vital to find the proper components if you want to work efficiently.
Read a similar article about consumer data tools here at this page.