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Power BI, SQL Server, SSIS
Malnove is a privately owned, family run, manufacturer of custom folding carton solutions serving the U.S., Caribbean, Mexico, and Canada from strategically located regional facilities.
Malnove lacked an up-to-date, standardized approach to reporting and analytics particularly around its manufacturing processes. The company was relying on outdated methods and tools—such as pasting daily scorecards on the wall on the manufacturing plant floor—for consolidating and distributing information. As a result, Malnove was unable to analyze and make decisions based on key metrics such as: the volume of manufacturing output, the status of safety incidents, trends around labor rate and overtime work, maintenance issues, and causes of manufacturing downtime.
Malnove wanted to automate reporting and enhance its analytics abilities so it could make informed decisions in order to maximize output and increase efficiency of its manufacturing processes.
Analytics8 conducted a strategic data and analytics assessment, which included interviews with business users to identify their daily processes and understand how they were currently utilizing their data. From that assessment, we developed a solution including a data warehouse to consolidate disparate source data into a centralized repository that is optimized for enterprise reporting.
From there, we worked with key stakeholders including executives and plant managers to understand their needs and developed a comprehensive manufacturing analytics solution using Power BI that enables more timely and user-friendly access to information. The analytics solution we developed includes a suite of dashboards such as:
Instead of manually consolidating data from disparate systems and generating manual or physical reporting, the solution allows Malnove to focus on making better decisions and maximizing output and efficiency of its manufacturing processes. The analytics solution we developed allows Malnove to:
Armed with the new dashboards, Malnove can focus its attention on increased productivity, better decide which plants to allocate resources toward, and proactively address concerns that can cause downtime.
Sign up to meet with one of our analytics experts who will review your data struggles and help map out steps to achieve data-driven decision making.