What is DataOps?
- Playtime Solutions
- August 15, 2021
- Insights
DataOps is a combination of tools, methods and more importantly a culture shift towards ensuring the analytics team deliver value consistently, quickly, and accurately, to their business stakeholders. It is a merging of the 3 key areas below and applying them to data analytics problems:
- Agile development methods,
- DevOps,
- Statistical process control (SPC).
Agile methodology is a type of project management process that aligns with a continual need for business to improve and innovate their services offering to their customers. Solutions to these non-linear demands are delivered by highly motivated self-organizing and cross-functional teams. This method is strongly aligned to the data-analytics environments.
DevOps automation allows an analytics team to manage the following delivery pipeline:
Analytics teams that succeed in DevOps continually improve in the following area:
- They know what infrastructure automation is and how to harness its power to deliver value faster and more efficiently.
- They are good at delivering insights in a continuous manner and know how to respond rapidly to technology-driven changes that organizations may face.
- They collect and analyse feedback throughout the software life cycle to make proper changes and enhancements to address business challenges in a cost-efficient manner
SPC was introduced to check and measure quality across the key steps in a manufacturing pipeline process. Conceptually the data analytics pipeline is very similar to the manufacturing pipeline and by introducing automated checks and measurement tests into your data pipeline, significant improvements in quality and efficiency will be obtained.
Now that you know what DataOps is, once introduced, your data analytics team overtime, will drive the following key business benefits:
- Reduce time to insight.
- Improve analytic quality.
- Lower the marginal cost to ask the next business question.
- Improve analytic team morale by going beyond hope, heroism and caution.
- Promote team efficiency through agile process, reuse and refactoring.
