- Navid Nassiri
What is Data Operations, and how does it help with business growth?
DataOps is becoming increasingly important for enterprises to make sense of their constant deluge of data. Let’s start with defining it.
It is both a process and an approach for empowering business teams to extract value from diverse datasets in order to deliver real-time, business-specific insights. When we say business-specific insights, we mean information that contributes to operational efficiency and growth.
Specifically, DataOps (or Data Operations) can help you glean insights such as:
How much money did we make on mobile compared to last month?
What content is most engaging for our core customers?
Where should we target our marketing spend and why?
Whether you’re a Director of Revenue Operations, Chief Data Officer, VP of Marketing, or any other team leader - if you have more data coming in than you can handle, the chances are you’ll need to implement DataOps sooner rather than later in your data journey.
To get started with DataOps, it‘s good to set out your overall business requirements - as well as specific team requirements - first . This will make sure your efforts yield your intended business objectives. It will also ensure everyone can access the data in the way they need.
There are too many benefits of implementing DataOps to list here. But these are perhaps the most compelling reasons to get started:
Data can be easily configured once and automated
Data is managed by the same repeatable process, regardless of scale
Data can be monitored 24/7, and any disruption handled without data loss or corruption
Data provenance can be audited so that it can be used for mission-critical decisions
DataOps also helps take the guesswork out of business decisions. By implementing a DataOps strategy, you can understand your customers better than just about any other method. And you know the data is reliable enough to make confident business decisions.
If you are looking to grow profitable revenue with your ever increasing data in 2022 and beyond, we strongly recommend you get started with Data Operations today, before the manual process of managing your enterprise pipeline becomes unsustainable. In our next post, we’ll discuss the DataOps challenges we see companies facing today.
Be Data Strong!
Read the first blog post in this series by clicking here
Read more from our blog by clicking here
For more information on how DataOps could help you manage your data at scale, chat with the team today by clicking here