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A leading manufacturer engaged in rapid mergers and acquisitions (M&A) faced significant data management challenges, preventing the leadership team from gaining reliable, consolidated insights.
A leading manufacturer, heavily involved in mergers and acquisitions (M&A), was facing significant data management challenges as its business grew. The company struggled with consolidating data across its numerous entities, each of which operated using disparate systems. Without consolidated reporting, the leadership team lacked visibility into overall sales performance, making it difficult to track key metrics such as best-selling products or revenue by region.
As the company acquired new businesses, these separate entities continued to operate with independent systems, creating data silos. This fragmentation prevented the company from gaining a unified view of their data. Additionally, there was little confidence in the accuracy of existing reports, with many internal stakeholders questioning the reliability of the information they received.
At the outset, the company did not have a dedicated business intelligence (BI) or data team in place. Their long-term goal was to build this capability internally, but they needed external expertise to help set up the infrastructure correctly. They sought to implement a system that could provide accurate, consolidated reporting, while also enabling them to build out an internal data team to manage it over time.
We implemented a comprehensive data management solution using Databricks to consolidate data from various systems across the company’s multiple entities. This allowed the company to bring together critical information, such as customer sales, product types, and revenue figures, into a single, standardized data lake.
The solution included the development of a custom dashboard to provide topline sales data, year-over-year comparisons, and breakdowns by customer and product type. This dashboard was built as a reusable template, ensuring that the company could replicate it for future reporting needs as they expanded their data capabilities.
In addition to creating the Databricks-based data lake and dashboards, we provided guidance on building out the company’s internal BI and data engineering teams. Our consultants trained the company’s new hires on the systems that had been developed, enabling the company to manage their data infrastructure in-house. A repeatable data pipeline was also created to bring in operational data from the company’s machinery, providing real-time insights into production and performance.
Standardized dashboards and templates reduced silos and increased confidence in data accuracy.
Leadership now recognizes analytics as a critical business asset for strategic decision-making.
Steering committees and feedback mechanisms ensured dashboards meet stakeholder needs.
The custom dashboard offered detailed workflow analysis, enabling data-driven decisions to streamline operations further.
A solid data foundation positions the company to expand it’s capabilities and support growth.
Let’s talk about your unique challenges and explore how we can craft a solution that fits your needs. Whether you’re looking to streamline processes, innovate with new technology, or bring a bold idea to life, our team is here to help. Reach out today and take the first step toward turning your vision into reality with a trusted partner by your side.
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