DataOps in Retail



Increase revenue with valuable data of customer behaviour and needs.


Never miss a sales opportunity with data-driven stock management.


Stay competitive with data that makes increasing efficiency easy.

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Data challenges in the retail industry.

As retailers deal with disruption and large amounts of unstructured data from several resources such as store transactions, GPS signals, social media, and even the weather, structuring data to enable insights helps them use data to the advantage of their businesses
 
Better insights into data allow companies in the retail industry to:
  • Understand and predict consumer behaviour.
  • Offer a tailored service and be ahead of the competition.
  • Provide the customers with a personalised experience.
  • Offer their products at times of customer peaks.
  • Lower operational costs with data-driven stock management, predictions of trends, and integrations of automated purchases when low.
  • Identify most valuable customers, apply the right retention strategies and increase their customer lifetime value.
DataOps is a data management framework that supports retailers to optimise the data-to-insights flow in a scalable manner.
Smart shop displays - How data could help retail tackle challenges

Grow your business with the DataOps approach.

Smart retail - How DataOps can increase efficiency in retail
By implementing the DataOps approach, you:
  • reduce the time people spend on organising, finding and gaining access to data from 80 to 40%.
  • make relevant data immediately & securely accessible to your business and data analysts.
  • let people focus on what really matters: gathering the insights to make profitable decisions.
  • Increase revenue with an average of 5.23% increase and reduce operational costs with an average of 4.8% decrease (CSA, 2020).
If you choose not to work the DataOps way, your data-to-insights flow will take months instead of minutes, increasing your risk of losing market opportunities and not foreseeing the risk of out-of-stock.

Making your data most useful with DataOps.

TENGU is a DataOps Orchestration Platform that enables you to solve your data challenges and set up the right data & analytics workflows according to the DataOps discipline. 
 
Unlike other DataOps Orchestration Platform providers, we: 
  • believe it's about the users' convenience and not just the technology. This user could be a specialist or non-specialist in data.
  • offer supportive services to help the business better understand what data is needed to achieve their objectives.
  • build the DataOps Community to share knowledge and help each other find the best solution.

Companies we empowered to work the DataOps way with TENGU.

Are you ready to solve your data challenges?

Schedule a call to discover our uses cases and best practices for retail companies like yours.
We would be happy to discuss the benefits of working the DataOps way.