How to achieve reliable automation
How can organizations obtain valuable insights or assess impact to make informed business decisions?
The modern enterprise demands transparency, traceability and trust in its data.
In this podcast, Philip Dutton, Co-CEO and Co-Founder at Solidatus, discusses how organizations should best approach supply chain management and traceability, especially in terms of the automation process, the current model-driven approach to data, measuring against time and ROI, and data privacy.
Listen to the full podcast below:
Solidatus recently enabled a global retailer to visualize their end-to-end data flows and support and connect key business domains.
After taking over an e-commerce start up, the retailer saw sales soar by 63% and online inventory grow from 10 million items to over 67 million. With this growth, came complexity, with sources of data becoming unclear.
Read the full case study to find out how Solidatus enabled the company to:
- Build a visual, searchable and transparent view of the input/output pipelines from their data platform.
- Trace data back to its origin, obtain impact assessments of modifications to upstream systems and provide greater quality assurance.
- Build lineage automatically from source, with unlimited potential to scale.
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“The best data lineage solution on the market”, finance industry review
Solidatus unlocks the true business value behind data. A lineage-first approach enables organizations to connect and visualize data relationships across the enterprise, simplifying how they identify, access and understand them. With a reimagined, sustainable data foundation in place, organizations can mine actionable intelligence and solve complex problems to deliver transformational business results.
Solidatus is a member of the EDM Council.