The amount of data enterprise businesses are producing is growing by 40 to 60% a year, and many companies are facing challenges managing, analyzing, and interpreting all that data so they can enable solutions, support their data-focused teams, and glean valuable business insights.
With requirements changing every day and the need for data access continuing to grow, many organizations have to find ways to improve their data management processes.
That’s where DataOps (data operations) methodologies come in.
What Is DataOps?
DataOps is an agile operations methodology that improves a company’s use of data through better tools, automation, and collaboration.
The primary purpose of DataOps is to align data management tools and processes with data goals, and improve communication and integration between data managers and the end-users who consume data.
In a nutshell, DataOps borrows the principles of DevOps – an approach to more agile and collaborative software development to speed up build lifecycles – and applies those principles and processes to data analytics.
DataOps encourages improvement and innovation by introducing the concepts of agile development into the world of data analytics, so data teams and the users who work with data can collaborate effectively to create a smooth, hassle-free data pipeline.
Deploying DataOps improves the speed and accuracy of data analytics across a company – including data quality, access to data, automation, integration, and development and deployment of data products and applications.
DataOps practitioners, who can come from a number of different departments, engage with teams of data scientists, analysts, engineers, and developers to create cross-functional collaboration and increase the pace of their data-driven deployments and initiatives.
The Biggest Benefits of DataOps
DataOps Helps Leaders Deliver Data Insights Faster and Better
Effective deployment of DataOps gives teams a more agile, collaborative, efficient approach to managing and automating the flow of data, so stakeholders can get the data they need, when they need it, in a way that works for them.
As companies ease into democratizing their data and giving users more self-service ways to get data without needing to involve IT or engineering teams, I predict that more and more companies will deploy DataOps methodologies to keep things running smoothly and optimize their data analytics processes as much as possible.
Where to go from here
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Bernard Marr is a world-renowned futurist, influencer and thought leader in the field of business and technology. He is the author of 18 best-selling books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has 2 million social media followers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.