Data Mining
Businesses possess very large amounts of data about their clients and their buying habits. And yet, this huge warehouse of data worthless, as long as it´s impossible to draw conclusions from it, conclusions about the client´s behaviour, or trends and patterns related to the market in general, in other words: Conclusions that are very useful for the vernture´s future strategy.
The Situation in the beginning - large collections of data cannot be analyzed "by hand"
- Patterns are hardyl recognizable
- Results are hard ti visualize or integrate in business processes.
- Success based upon questionable results, is in itself questionable!
Goals - Analyze the clients behaviour and buying habits.
- Data Mining normally applies algorithms and statistical analysis to the data, in order to discover important business oppurtunities and retrieve convicing information about business processes.
- Identify product groups (if product A is bought, product B and C are also likely to be bouhgt).
- Plan corresponding campaigns on these product groups:
Solution : Data Mining with Microsoft Analysis Services
Your Benefit - improved determination and use of existing potential
- Increase of sales
- Improved Cross Selling Quote
- Address your clients more precisely
Our procedure model - Understand Business: Know your venture´s goals and identify the problems, describe the Mining Process, create a Project Plan
- Understand Data: Define and gather the data to start with, explore data regarding erraneous or missing values, verify the quality of your data
- Prepare Data: Choose and clean the data, the summarize and transform it
- Model a Solution: Choose an approach for your modelling depending on your goals, construct a Mining Model, train and test the model, generate solutions
- Evaluate Solution: Evaluate the results, adapt the model if need be
- Apply Solution: Integrate the approach into current processes
- Planning of observation and maintenance
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