Ziel-Definition

STEP1: TARGET DEFINITION

It begins with an idea or vision. You have an idea of your "pain". Can you find a solution with the help of historical data? In a constant interactive process, it is necessary to define an idea in clear objectives. Our many years of project experience help to filter "dreams".

BI

STEP2: BUSINESS ANALYZE

BI solutions are not an end in themselves. Sales should increase, and costs should be reduced. What does the project related operational decision-making process in a company look like? Often this knowledge is only in the heads of a few long-standing employees. These experiences are ultimately data. How can this process be supported? What are the decisive influencing factors?

Analyze_modell

STEP3: ANALYZE MODELL

To accelerate the project, we bring along a number of IT modules and load the customer-specific data into our analysis system. Data is loaded, harmonized and made available via the specific data model. Goal: Ready to analyze! Our own regression modules are used.

DATA-DISCOVERY

STEP4: DATA DISCOVERY

Does the operational process described by the specialist correspond to the data supplied? Data in different formats must be integrated. EXCEL Manias are everywhere. We build a specific analysis database for each project.

Methodik_icons

STEP5: FEASIBILITY STUDY / PROTOTYPE

How can data useful for business analysis be simulated even though it is not generated operationally? Influencing factors are recorded and weighted in a mathematical model. Finally, the extent to which the solution model supports the decision-making process is checked.