The techniques used in DataOps can help create a more collaborative and agile approach to building and managing your business data pipelines.
The recent COVID-19 pandemic has made it more critical than ever for analytics and data leaders to be able to deliver insights quickly.. They also need to ensure these insights are of a higher quality and more resilient when facing the constant changes all businesses are facing.
Business leaders need to make faster and better-informed decisions through the use of automation, continuous value delivery and real-time risk assessment and mitigation, i.e. they need to be more agile.
As a result of this need, data and analytics executives are increasingly turning to DataOps techniques as they allow them to provide a more collaborative approach to the building and managing of data pipelines.
What is DataOps?
Global Research and Advisory Company Gartner recently defined DataOps as “a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and data consumers across an organisation.”
They went on to say that “The goal of DataOps is to deliver value faster by creating predictable delivery and change management of data, data models and related artefacts. DataOps uses technology to automate the design, deployment and management of data delivery with appropriate levels of governance, and it uses metadata to improve the usability and value of data in a dynamic environment.”
Best practice DataOps
If businesses want to implement DataOps successfully, their data and analytics team must move away from aligning it with how data is created in their organisation, towards aligning it with how data is consumed instead.
To derive the maximum value from your data, therefore, they should keep the three best practices of DataOps in mind:
- Data and analytics should drive the business by providing the information you need to create new products and services, enter new markets and generate new revenue streams.
- DataOps should act as an enabler for data and analytics by allowing the business to make the right decisions every day, by supporting specific use cases such as analysis of supply chain optimisation and fraud detection.
- Data and analytics should be instantly available to everyone within a business to have access to the information they need.
Drawing on all three of these value propositions is a must for every business – but it depends on the company as to whether they are used in a centralised or decentralised deployment model.
As you can see, strengthening the DataOps team within your business is a must if you want to foster collaboration between data implementers and stakeholders to ensure they deliver the right value proposition with the correct data at the right time.
If you want to strengthen your data and analytics team, then don’t hesitate to get in touch with the experienced team at Agile Recruit by calling 0161 416 6633 or emailing us at email@example.com.