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Data is a key part of the digital world, and organisations need it to make informed decisions. However, with the increasing amount of data, data management and processing have become more important than ever before. This is where DataOps come in. DataOps, short for data operations, is a process-oriented and agile methodology that focuses on developing and delivering analytics. It brings together the DevOps teams, data engineers, and data scientists, providing them with the necessary processes, tools, and team structures to support organisations data teams.

DataOps is a new approach to data management and processing and it’s recently emerged on the market, but it’s already proving to be important for many organisations. It doesn’t matter if you are an IT professional or a business leader, DataOps has the potential to boost your business in a big way.

Why Do Businesses Need DataOps?

If you don’t know where your data comes from and what it means, or where all of your data is stored, you need DataOps. You also need DataOps if not everyone in your organisation has access to the data that they need. Data is becoming larger and more varied, and traditional ways of managing it are no longer enough. Luckily, DataOps is a collaborative approach that handles everything. It covers development and operations, as well as helping teams improve the way that data is delivered. It’s also beneficial when it comes to improving the quality of data.

DataOps provides a flawless framework, one that ensures that data is accurate and reliable. This is helpful for organisations that need to make data drive decisions, as having accurate data leads to accurate decisions. DataOps can also help with innovation, as teams can quickly respond to changing business needs and exciting opportunities. In a fast-paced industry, being able to adapt quickly is vital for a business.

Where Did DataOps Come From?


  • Increased Volume of Complex Data - DataOps can be linked to many factors, including the increasing volume of data that businesses need to process. As traditional data management became insufficient, DataOps stepped in as a way to scale capabilities and ensure that complex data could be handled successfully. There’s a lot of complex data out there, but DataOps can be scaled accordingly.
  • Increased Need for Data Transformations - Organisations need to have data in a readable format, which means that a lot of data needs to be transformed and ready for analysis. It must be cleaned, transformed and safely stored until it’s ready to be used. Effectively cataloguing all of this data requires a range of tools, which can lead to technology overload. With DataOps, this isn’t a problem.
  • Increased Collaboration Needs - There are a lot of people using different tools and technologies, and these need to work together to correctly utilise data. This can be difficult with such a diverse range of technologies being used, and people needing to analyse data in different ways. With DataOps, collaboration is a lot easier. It makes collaborating less complex, and there’s less resistance between teams who are using the same data.

Why is DataOps Important?

DataOps is important for organisations that need to manage, process and use a lot of data. Not only does DataOps help to improve the quality and useability of data, but it helps to boost innovation. Instead of worrying about inaccurate data, organisations can use information knowing that it’s reliable. DataOps also helps by automating data processes, which enables various teams to work together and evolve as the business demands change.

With DataOps, all employees can access and use data. There is no need to go without a necessary insight, as everyone has access to data as and when they need it. Real-time insights are available, and they can be implemented quickly. DataOps also helps to standardise data creation and usability, ensuring central data governance is in place.

If you want to discuss DataOps in more detail get in touch with our specialist consultants.

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