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With a 175-zettabyte wave looming on the horizon for organizations in 2025, DataOps is one way they can keep from drowning in data.
DataOps has the potential to revolutionize the manner in which organizations gain insights from their analytics processes. For businesses invested in implementing DataOps, there are virtually limitless opportunities for how it can improve business processes and fuel growth.
Data operations (DataOps) is an emerging technology discipline that’s connecting DevOps teams with data science and engineering roles to support a data-driven organization. As more and more businesses adopt data science capabilities and focus their business on data-driven insights, a DevOps team can provide perspective from a data mindset.
DataOps has an agile viewpoint. It prioritizes continuous delivery of analytic insights to put the customer first, ensure efficient and accurate analytics, track data insight performance, and adapt to changing customer and market needs. A DataOps team is goal-oriented and focuses on data, code, tools technologies, and environments from start to finish, ensuring accurate, efficient, and repeatable results.
Here are some ways that DataOps can improve an organization.
With such a huge wave of data coming, it’s likely to move faster than businesses can use it productively for valuable, actionable insights. DevOps is focused on data, giving the team the ability to prioritize data capture and concentrate on high-value data. This not only drives more-timely decisions, but it also saves time and resources that could be spent identifying and separating high-quality data from low-quality data.
Efficiency and accuracy are two challenges that many organizations face in analytics, and this will only compound as data volumes increase. DataOps teams can improve efficiency and accuracy by ensuring full operational visibility across departments so each employee or team gets the information they need, when they need it, for timely decision-making.
From the beginning of data use in business, data fragmentation has been an issue for organizations. With digital transformation upon us, addressing data fragmentation should be a top priority for organizations. When data is scattered, siloed, and unstructured, users can’t get an accurate and comprehensive view of data for analysis. Fragmented data leads to fragmented insights, potentially informing poor business decisions.
DataOps is equipped to address data fragmentation. DataOps can introduce new architecture to simplify and automate data management for multiple data sources, reducing or eliminating data fragmentation.
With the growth of data and organizations, there’s more potential for slow, outdated, high-risk, or low-quality data to create bottlenecks and stalls in innovation. DataOps streamlines the data delivery process from end-to-end, aligning departments, processes, and technology for a smooth workflow. Data delivery can be automated, secured, and managed, even with self-service technology, ensuring regulatory compliance, security, and seamless access for all users. As a result, businesses can make swift decisions based on solid insights.
From IT and technical roles to finance and HR, Orbit Reporting & Analytics offers a range of products for data analysis, integration, reporting, governance, and more. Position your business for success in the data-driven future, and request a demo today!
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