Operational Analytics

 

“Reduce Cost and improve efficiency by streamlining your operations”

In today’s dynamic, ever-changing business landscape, no organization can survive without up-to-date, accurate information

and analytical capability to support swift, dependable decisions. Operational Business Intelligence can empower executives, line managers and other business professionals and individuals within the organization by producing a clear integrated picture and true business intelligence from a diverse set of data and systems.

For operations managers, keeping ahead of the curve to manage the growing complexity of supply chains and internal operations is very challenging. They are constantly striving to achieve greater operational efficiency while reducing operating costs all the while trying to align all operational functions with corporate strategy. Without a high level of visibility into operations, improving both efficiency and strategic alignment is extremely difficult.

BI Consulting Group can help you achieve a holistic view of all facets of your operational performance. With our extensive understanding of operational challenges – and the business intelligence and analytics solutions to help solve them – we can enable you, to quickly and economically measure performance against corporate strategy, identify and address performance issues, find opportunities for greater efficiency, and improve financial and operational results.

Our powerful, easy-to-use business analytics and reporting offers you insights into your business operations that can help you reduce costs and maximize efficiency. BI Consulting Group combines data from multiple sources, allowing you to monitor and manage critical operational metrics such as forecasting, inventory, and production yields. BI Consulting Group can provide insights to help streamline production and service operations, saving time and money while increasing customer and supplier satisfaction.

Key Benefits:

  • Monitor and report on inventory and order status
  • Forecast production goals and share with suppliers
  • Centralize logistics management by integrating data from multiple regions
  • Analyze manufacturing defect rates and determine the source of problems
  • Consolidate production forecasts across product lines
  • Analyze production yields by line, plant, or shift