Case Studies
Discover how businesses like yours use LakeFusion to supercharge their data operations, unlock actionable insights, and drive smarter, more efficient decisions.
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How a Global Agribusiness Built a Customer, Supplier & Product Master on Databricks
A global agribusiness operating across more than 20 countries needed a consistent way to manage customer, supplier, and product data spread across Sage X3, SAP Ariba, and other SAP modules. The same business entity could look completely different depending on the country, source system, or language.
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How a Research Services Enterprise Built a Trusted Company Master on Databricks
A global research and advisory enterprise needed a more reliable way to understand company identity across its expert data. The same employer could appear under several names or formats, making it difficult to determine whether different records referred to the same organization and consistently organize experts around their employment history.
How a Transportation Enterprise Built a Reliable Customer Master on Databricks
A transportation services enterprise needed a better way to determine whether incoming sales leads represented new customers or organizations it had already worked with. Its existing Salesforce matching process made that difficult, creating the potential for duplicate customer records, repeated outreach, inconsistent pipeline stages, and unnecessary rework.
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How a Global Energy and Manufacturing Enterprise Built a Trusted Customer 360 Across 22,000 Company Records
A global energy and manufacturing enterprise faced a common master data challenge: customer records were distributed across multiple CRM and ERP systems, creating duplicate accounts, limited visibility into corporate relationships, and additional manual work for business teams. The fragmented data also presented a risk ahead of a planned Salesforce migration.
How a Global Professional Services Enterprise Built a Trusted Company Master Across 3+ Million Records
When company data is fragmented across internal CRM systems and third-party providers, maintaining a consistent view of business entities becomes increasingly complex. Duplicate records, conflicting firmographic attributes, and manual reconciliation can affect search accuracy, analytics, and compliance workflows.
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