A merger of two aggressive manufacturers in the United States and Canada formed a company that brought unique value to the agricultural, construction, materials handling and transportation industries.
This new multinational company had undergone mergers and acquisitions in the past and had several different IT systems. There were looking for ways to enable access to consolidated information to better serve customers across the globe.
Further compounding the problem was a disparity in business models of the merged entities. Dealing with multiple systems was causing confusion and tremendous overhead on their employees. Not to mention the reduction in quality of service provided to their customers.
To the Rescue - A BI Bridge and Gasket Solution
It was determined that datacubes could be developed to combine data from the different systems, including Excel, that would allow users to create overlays of data for a consolidated view of profits and sales across business units. We refer to this as a Bridge.
Not only did this approach accelerate their ability to analyze important information, it also reduced the current IT report backlog. Users were empowered to mine the information to meet their own reporting requirements (the 'gasket').
Poor Forecasting and the China Syndrome
A manager in the call center overheard an agent taking an order and discounting the price of a popular item. On a hunch, he ran a query against one of the datacubes and found that this happened quite frequently. Customers ordering online always paid the full price, so a decision was made to minimize the discounts on certain items. This simple change reduced the volume of incoming calls as more customers ordered online while improving margins in the call center.
Poor Forecasting and the China Syndrome
In the past, sales were forecast based on key attributes including customer group, geographies, product classes, and related criteria. Over time the accuracy of the forecasts was steadily decreasing as more and more products were sourced overseas, particularly China.
As more and more products were sourced overseas, the purchasing options for end customers increased. Often there were similar products offered by Chinese suppliers that were only slightly different from similar products sourced in North America.
While this supplier substitution delivered a new competitive price and quality combination, it created havoc with customer forecasts effectively reversing the business model from customer driven to product driven. Forecasts became useless over time.
A unique approach was adapted to their growing problem of dealing with product driven business models and forecasts. Yet another way a perspective-driven business intelligence approach increases margins and drives profits for companies in aggressive industries.
This new multinational company had undergone mergers and acquisitions in the past and had several different IT systems. There were looking for ways to enable access to consolidated information to better serve customers across the globe.
Further compounding the problem was a disparity in business models of the merged entities. Dealing with multiple systems was causing confusion and tremendous overhead on their employees. Not to mention the reduction in quality of service provided to their customers.
To the Rescue - A BI Bridge and Gasket Solution
It was determined that datacubes could be developed to combine data from the different systems, including Excel, that would allow users to create overlays of data for a consolidated view of profits and sales across business units. We refer to this as a Bridge.
Not only did this approach accelerate their ability to analyze important information, it also reduced the current IT report backlog. Users were empowered to mine the information to meet their own reporting requirements (the 'gasket').
Poor Forecasting and the China Syndrome
A manager in the call center overheard an agent taking an order and discounting the price of a popular item. On a hunch, he ran a query against one of the datacubes and found that this happened quite frequently. Customers ordering online always paid the full price, so a decision was made to minimize the discounts on certain items. This simple change reduced the volume of incoming calls as more customers ordered online while improving margins in the call center.
Poor Forecasting and the China Syndrome
In the past, sales were forecast based on key attributes including customer group, geographies, product classes, and related criteria. Over time the accuracy of the forecasts was steadily decreasing as more and more products were sourced overseas, particularly China.
As more and more products were sourced overseas, the purchasing options for end customers increased. Often there were similar products offered by Chinese suppliers that were only slightly different from similar products sourced in North America.
While this supplier substitution delivered a new competitive price and quality combination, it created havoc with customer forecasts effectively reversing the business model from customer driven to product driven. Forecasts became useless over time.
A unique approach was adapted to their growing problem of dealing with product driven business models and forecasts. Yet another way a perspective-driven business intelligence approach increases margins and drives profits for companies in aggressive industries.
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