For a company's sales planning, marketing and controlling, the data from recent fiscal years represents a treasure trove for evaluating the success of possible campaigns for subsequent years.
The data is already available in the company and only needs to be analyzed with a suitable instrument.
Examples: Controlling assesses the income and expenditure of the products and on this basis makes the recommendation to adjust the product range. Marketing forecasts the costs and prospects of success for the introduction of the product leader in a new market and quantifies the timeline to break-even. Sales planning develops a model for more stable corporate development with diversification from saturated and growth markets.
The quality of the evaluation depends strongly on the quality of the available data. The aim is to have the data available in such a way that it can be used efficiently. Centrally in one system, in real time and with the tools necessary for processing. SAP BW is a suitable solution for this.
The need to evaluate complex data can be unpredictable. The speed of technical development is increasing. Companies in markets with supposedly high moats are confronted with new players and fresh ideas.
Example electromobility and diesel discussion: What is the impact of a scenario with reduced values for used diesel vehicles? What happens to returns from leasing transactions and vehicle loans with high residual rates? What savings can be made within the Group to support research and development? These questions suddenly arise in companies that deal with automobile manufacturing, the sales organization or the supplying industry.
SAP BW is the right instrument to meet the requirements of a changing market. SAP BW can process large amounts of data and import data from external sources. Often data exists in a grown old system or data from external sources should serve the comparison or the enrichment.
The structuring of the data according to certain characteristics often leads to interesting findings from which alternative courses of action and recommendations can be derived. How much margin does the sale generate over the lifetime of the product compared to the after-sales business? Should one then suggest the advantages of a specialist workshop to the buyer and how much may the communication cost for this? How many employees does the sales organization have in the area of sales, repairs and online contact with customers? With SAP BW, it would be easy to derive a marketing strategy from existing data.
SAP BW is able to structure and consolidate the existing data for different views. An interpretation of the data serves as solid support for management decisions.