DataOps for Analytics

The transformative potential of accelerating analytics- ready data and insights

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Analytics-driven transformation – Clearing the operational hurdle with DataOps

Data-driven transformation is a mandate for today’s CIOs and CDOs, and it’s likely to remain so for a long time. Modern data architectures, together with new services powered by AI and
advanced data science and data analytics techniques, are making it possible to fully use
analytics throughout the organization and drive data literacy.

Although new infrastructure – such as cloud data warehouses and lakes – and new technologies such as data streaming enable businesses to significantly increase data availability, that’s not the only piece of the puzzle. You still have to address the people component – and the processes to make data always available and analytics-ready.

Your processes have to change – to deliver greater agility, faster time to value, and real-time data for users in every area of your organization. Fortunately, DataOps is here to help.

What is DataOps for Analytics?

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How can DataOps impact your organization?

Data-driven transformation requires an agile approach across the entire data supply chain, from your infrastructure to your processes and people. DataOps helps you bring all those elements together, accelerating cycle times and improving performance with the potential to transform your organization in a number of ways:

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A boost in data literacy

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Faster, more agile analytic processes

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Data democratization

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Continuous governance throughout the data delivery lifecycle

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Fuller collaboration

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Enabling DataOps for Analytics-Ready Data with Qlik

The Qlik Data Integration Platform (formerly Attunity) automates real-time data streaming, cataloging, and publishing, so you can quickly find and free analytics-ready data — and take action on it.

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Real-Time Data Streaming (CDC)

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Agile Data Warehouse Automation

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Managed Data Lake Creation

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Get ready to transform your entire business with data.