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Data Mining 
Home > Services > Business Intelligence > Data Mining

 Data Mining

Data, data, everywhere...

..and yet what happens with that data once the reports are run and the scorecards assessed?

You don't need to be a big, global, e-commerce organisation to utilise the technologies and see the benefits of Data Mining your historical information.

Would it be useful to know what segment of your customer base is more likely to buy certain products or to discover the underlying market trends that are hiding behind the day to day sales figures?

Using the standard components of Microsoft SQL Server, SharePoint Server and Microsoft Office organisations of any size can gain valuable insight into the hidden information contained within your data stores.

Microsoft Data Mining

Inform decisions with intuitive and comprehensive predictive insight available to all users.

Benefit from many rich and innovative data mining algorithms, most developed by Microsoft Research to support common business problems promptly and accurately.

 

 


Market Basket Analysis - Discover which items tend to be bought together to create recommendations on-the-fly and to determine how product placement can directly contribute to your bottom line

Churn Analysis - Anticipate customers who may be considering cancelling their service and identify benefits that will keep them from leaving

Market Analysis - Define market segments by automatically grouping similar customers together. Use these segments to seek profitable customers

Forecasting - Predict sales and inventory amounts and learn how they are interrelated to foresee bottlenecks and improve performance

Data Exploration - Analyse profitability across customers, or compare customers who prefer different brands of the same product to discover new opportunities

Unsupervised Learning - Identify previously unknown relationships between various elements of your business to better inform your decisions

Web Site Analysis - Understand how people use your Web site and group similar usage patterns to offer a better experience

Campaign Analysis - Spend marketing dollars more effectively by targeting the customers most likely to respond to a promotion

Information Quality - Identify and handle anomalies during data entry or data loading to improve the quality of information

Text Analysis - Analyse feedback to find common themes and trends that concern your customers or employees, informing decisions with unstructured input