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Conquer These Eight Challenges

As a CDO, VP or Director in charge of analytics, it is your job to help your business partners drive growth and analytics play a key role. But do you find yourself thwarted by these challenges?

  • Too much work - You cannot keep up with the requests from your business partners and they are getting frustrated

  • Data Errors - Data will eventually contain errors, which can be difficult to resolve quickly

  • Bad Data Ruins Good Reports - When data errors work their way through the data pipeline into published analytics you lose credibility.

  • The Goalposts Keep Moving - Your world is demanding and dynamic. Requirements from sales, marketing and executives change constantly and the requests for new analytics never cease.

  • Multitude of Tools - Your company deploys numerous tools, languages and technologies. The pitch from third party vendors to standardize around one tool or technology for all your needs is impractical.

  • Data Pipeline Maintenance Never Ends - Every new or updated data source, schema enhancement, analytics improvement or other change triggers an update to the data pipeline. These updates may be consuming 80% of your team's time.

  • Manual Process Fatigue - Manual procedures for data integration, quality assurance and deployment of new analytics are error prone, time-consuming and tedious.

  • Cloud Technology - The cloud offers significant benefits, but migrating to the cloud is a daunting task.

The Solution

This solution from DataKitchen, enables analytic teams to deliver value quickly, with high quality, using the tools that they love (and already own!).


As a DataOps platform it meets the needs for data-driven enterprises, enabling them to support data analytics that can be quickly and robustly adapted to meet evolving requirements. The solution is leading the DataOps movement to incorporate Agile Software Development, DevOps, and manufacturing-based statistical process control into analytics and data management. DataKitchen is for information technology (IT), data warehousing, data science and analytic teams who know that in order to meet the needs of their business, data analytics has to be ten times more nimble and robust than it is today.







Orion & Associates Ltd