DataOps in Logistics

Create comprehensive data to track the logistic flow.

Improve cooperation with valuable real-time tracking data.

Analyse operational efficiency and identify loss of revenue.

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Data challenges of the logistics industry

Logistic partners deal with many dependencies, complex regulations and large amounts of unorganised data from many teams & technologies. Structuring data to enable valuable insights and keeping oversight helps them use data to the advantage of their businesses
Better insights into data allow companies in the logistics industry to:
  • Get a complete view by integrating supply chain data into one platform,
  • Meet the expectations of fast delivery.
  • Offer accurate real-time shipment information to customers.
  • Lower operational cost by making AI predictions of non-loaded trucks, traffic jams, and technical problems.
  • Be a step ahead of disruption with predictive data analysis. 
  • Enhance collaboration with partners through shared data.
DataOps is a data management framework that supports logistic partners to optimise the data-to-insights flow in a scalable manner.
Logistics sector could use data to tackle challenges

Grow your business with the DataOps approach

A DataOps approach could improve efficiency
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 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 logistic companies like yours.
We would be happy to discuss the benefits of working the DataOps way.