As businesses become AI-ready, efficient data management has acquired an unprecedented role in ensuring their success. Bottlenecks in the data pipeline can cause massive revenue loss while having a negative impact on reputation and brand value. Consequently, there’s a growing need for agility and resilience in data preparation, analysis, and implementation.
On the one hand, data-analytics teams extract value from incoming data, preparing and organizing it for the production cycle. On the other, they facilitate feedback loops that enable continuous integration and deployment (CI/CD) of new ideas.
By applying DevOps principles to data management, DataOps optimizes this Value-Innovation pipeline, streamlining it to ensure better ROI.
First, data-analytics verticals involve multiple roles, making internal data-centric communications and transfer extremely complex. Moreover, teams are unable to achieve the speed, durability, and flexibility required to meet the rapidly-changing demands for personalization and specialization.
Second, traditional data-management processes are highly siloed and have low interoperability. Alongside hindering seamless collaboration between key roles, this also hampers innovations at the company level, primarily due to bottlenecks and inertia.
Preparing businesses for Big Data, AI, and ML integration, three broad categories of DataOps solutions solve these problems.
Incremental implementation is crucial to ensure effective DataOps transformations. Data-analytics leaders must start by identifying the aspects of the business that are the most susceptible to bottlenecks.
The below figure gives you the steps to jumpstart your DataOps practice so you can start delivering business-ready data fast.
There are some immediate and practical benefits. Primarily, these are achieved by automating data curation, meta-data management, and core governance.
The success of DataOps transformation depends upon the effectiveness of the execution process.
Backed by domain expertise and years of experience, Pyramid Consulting offers the assistance that data-analytics leaders need for a profitable DataOps transformation.
As a part of our Advisory Services, Pyramid Consulting helps leaders pinpoint the scope for DataOps implementation, thus enhancing the overall ROI and relevance. Following this, end-to-end data services guide businesses through the entire modernization process, complete with managed DataOps implementation and monitoring.
In doing so, Pyramid Consulting partners with industry-best services, including Cambridge Semantics, Power BI, Snowflake, and more. DataOps entails knowing, trusting, and using data to build processes that are ready for an AI-driven future—a vision that Pyramid Consulting fulfills.