Data Mining Consulting - Knowledge for Success

Profit from our experience and expertise in real-time analytics and all areas of Data Mining.

Our mission is to provide efficient products which ensure our customers' success. With this as our objective we design and implement customer projects which combine our high performance analytical solutions with our long-time expertise in Data Mining.

From us you will receive solid advice about implementing high-performance, real-time analytics projects. But that's not all. We will provide support in implementing classic Data Mining business functions such as master data consolidation, cancellation prevention, category management, auditing and support management.

Project steps

The implementation of real-time Data Mining in a business enterprise is a multistep process which has to be optimised in order to ensure long-term success. These are the main factors in achieving success: A good understanding of customer problems, precise evaluation of customer data, expertise in various Data Mining processes/models and the right analytics.

1. Project definition:

Decide your objectives and expectations with us. We will be glad to advise you. We will tell you what is technically feasible and, more importantly, what makes strategic sense given your objectives.

• Define strategic objectives
• Decide the project purpose and scope
• Define responsibilities

2. Data audit:

In order to make a realistic forecast about the improvements we can achieve in terms of increased turnover and reduced costs, we need to make a detailed audit of your data. The audit is a precondition for project success. We analyse and document your databases to ensure that the project will proceed successfully.

• We document IT structures
• We document data sources and data semantics
• We test the correctness and plausibility of data
• We turn targets and objectives into facts

3. Data preparation:

Your data are decentralised and in different formats or on different systems? No problem. With client-server based preprocessing we can process data locally or over a network.

• We organise access to all the required data sources
• We convert, clean and merge data
• We collect and integrate external data (where necessary)
• We make prepared data available

4. Analytics:

Each Data Mining operation requires specific analysis procedures and models on your data and targets. We will choose the appropriate solution for you.

• We implement Data Mining analyses
• We implement the statistical validation of results
• Test results

5. Deployment:

The integration of results into your working procedures and IT systems will ensure a return on your investment and lead to long-term measurable success.

• Preparation of results for the marketing, sales and other business areas
• Integration of the solution into the existing IT system
• Introduction into business practice

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