Persistent stitches together diverse datasets with Microsoft Fabric
In asset-heavy industries like manufacturing, maintenance, and on-site equipment inspection, fragmented data is a common issue. As employees across different functions feed data into multiple systems, the challenges can multiply. Disparate systems, inconsistent data formats, and siloed business units make it difficult for leaders to see the full picture, potentially leading to inefficient decisions and missed opportunities for revenue growth.
This is the kind of challenge Persistent Systems was made for. As a global Microsoft Solutions Partner across every solution area and a Tier 1 Cloud Solution Provider (CSP) partner, Persistent uses their deep expertise in data modernization and engineering to break down silos, unify disparate systems, and deliver the kind of real-time insights that drive operational innovation and optimization.
For one of Persistent’s customers—a market leader in industrial tank design, manufacturing, and inspection—that unified data architecture brought together multiple major business verticals. As an organization, they provide their clients with a better way to store their products; in turn, Persistent helped them discover a better way to store and unleash the power of their data.
Better data storage for the energy storers
With nearly 50 years in the industry and a presence around the world, the customer’s operations span manufacturing, inspection, and maintenance, and they offer a suite of products and services ranging from chemical, energy, and water tank storage to fabrication and repair. In other words, they collect a trove of data.
Over the customer’s long history, though, different team members and segments of the enterprise began inputting data into different formats, models, and reporting tools. While the customer was already a Microsoft shop––relying on solutions like Microsoft Dynamics 365, Excel, and SharePoint––the siloed departments and disparate systems resulted in a patchwork of information scattered across the organization, residing in places like Microsoft Azure and Salesforce.
Because of this, the team’s data pipelines were often disconnected or ran into bottlenecks that prevented team members from innovating efficiently. Leaders strove to find a way to gain a unified view of operations and use their data more effectively to, for instance, anticipate maintenance needs or respond quickly to new opportunities. And they had a concrete, ambitious goal of recovering the 10–15% of total revenue they suspected was being lost.
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