Data – How can you make it valuable?

Data – How can you make it valuable?

Has data become the new shiny toy? Or is it the new Oil?

Quick answer – YES!

Everyone produces data – when we get up and first check our phone, as we sleep with our smartwatch or fitness tracker, as we navigate through every event of the day.

No alt text provided for this image

What happens to that data?

Some companies collect it and store it in files that they never access – whether they have the time or not is another issue.

But the forward thinking companies, the ones at the forefront of making data-driven decisions, are accessing and making use of that data.

There are even companies who are bringing to bear the ability to evaluate the data so it is an asset on a company’s books (https://www.orbintel.io)

Other companies are leveraging the data that we create to make smarter decisions on what ads and how to market to us (https://datascore.ai)

The uses for data are endless, the issue is what are you doing to ensure the data collected is usable and doesn’t sit on a server somewhere until the server dies?

No alt text provided for this image

Data doesn’t have to languish in a file somewhere.

BettrData.io was created to help companies with the arduous tasks involved in testing and validating the data so they can use it.

Ingesting data shouldn’t be a hassle – remove the chaos with BettrData.io!

BettrData's grey logo with the text "BettrData" in a gradient of purple and orange.

BettrData.io is an easy-to-use data operations solution. We use AI and machine learning to transform, enhance and validate data.

Other blog posts

A graphic illustration depicting data automation, with a computer screen showing various data analytics charts such as line graphs, bar charts, and a pie chart. An orange robot, symbolizing automation, points to the screen. Data servers, folders, and additional charts surround the computer, representing automated data processing and management workflows.
Data Automation: What is it, Examples and More
A female data operator working on a big blue screen.
The Rise of Data Operations: Key Differences from Data Engineering
Scroll to Top