Using Data Mining & Predictive Analytics

Data Mining in Use

The possibilities for leveraging data mining in business and industry are practically limitless. Here are some examples of current uses.

  • Analytical Customer Relationship Management (CRM)
  • Clinical Decision Support Systems
  • Collection analytics
  • Cross-sell / Up-sell
  • Customer retention
  • Direct marketing
  • Fraud detection
  • Underwriting

TIMi Data Mining and Predictive Analytics software builds models that link causes to consequences. For example, if the consequence is a sale, TIMi is able to predict whether or not an individual will buy a product. TIMi is also able to explain why somebody bought a product.

  1. Propensity Model - B2C - Banking, Telecom, Retail - cross-selling/up-selling
  2. Propensity Model - B2B
  3. Probability of Default - B2B - Banking, risk assessment, Healthcare
  4. Propensity Model - B2C - Retail
  5. Churn Prediction - B2C, B2B – Telecom, Banking
  6. Potential Analysis - B2C - Retail
  7. Segmentation analysis - B2C - Retail

Powerful and easy-to-use TIMi software provides insightful results and a fast return on your investment.

Contact us  for a FREE ROI Consultation.

 

 

Contact us today for a free ROI consultation.

 
 

1. Propensity Model - B2C - Banking, Telecom, Retail - cross-selling/up-selling

With TIMi, cross-selling is easy. Using a database of your customers and their historical purchases, TIMi can   create a model that predicts if a customer would be willing to sign up for a credit card, premium monthly service plan, or special offer.

When you have several products to sell, you can compute the probability of purchase for each product and only present to the customer those that he’d most likely buy.

Contact us today for a free ROI consultation.

 

2. Propensity Model - B2B

Example – Banking

Objective – Qualify B2B customers for leasing contracts

Tools – B2B customer database and TIMi

Fincap Bank’s Commercial Director wants to increase the number of lucrative leasing contracts that Fincap handles. Using TIMi and a dataset describing all the companies in the regions served by Fincap (such as this dataset here) he creates a model that predicts if a company would be willing to accept a leasing proposition.

Real Business Case: The acceptance rate of leasing contract propositions is around 4 to 5%. Using TIMi, you can increase the acceptance rate to 35%.

Contact us today for a free ROI consultation.

 

3. Probability of Default - B2B - Banking, risk assessment, Healthcare

Example – Banking

Objective – Assess loan default risk

Tools – B2B customer database and TIMi

Using the same dataset as the previous problem, Fincap’s Commercial Director could also use TIMi to predict which companies will go bankrupt within the coming six months, in order to lower the number of loans in default.

Contact us today for a free ROI consultation.

 

4. Propensity Model - B2C - Retail

Example – Retail

Objective – Find qualified sales leads

Tools – Customer database with historical purchases and TIMi

The CEO of the Acme Auto Dealership visits his Sales & Marketing team to help him find the best sales leads for his company’s cars. Using TIMi and their customer database, the Sales & Marketing team create a model that determines Acme’s customer profile. They then apply the model to a purchased list, extracting from it the most qualified leads for Acme.

Contact us today for a free ROI consultation.

 

5. Churn Prediction - B2C, B2B – Telecom, Banking

Example – Telecommunications

Objective – Retain more subscribers

Tools – Customer database and TIMi

Mobilecom’s cellular service customer attrition rates aren’t high, but given the cost of acquiring new customers, the company’s management team decides that their most effective strategy for increasing revenues is retaining existing customers. Using TIMi and their subscriber database, they create a model that predicts if a customer will churn (i.e. changes to another mobile phone operator). With the results, the management team creates a targeted offer to the potential churners that effectively keeps them on Mobilecom’s network.

Contact us today for a free ROI consultation.

 

6. Potential Analysis - B2C - Retail

Example – Retail

Objective – Determine optimal site location

Tools – Demographic database for new regions, customer database, and TIMi

Bullseye Electronics is planning to open a new superstore. Using TIMi, the Operations Director applies the customer profiles to a purchased demographic dataset for the potential regions, in order to find qualified potential customers in their highest concentration.

Contact us today for a free ROI consultation.

 

7. Segmentation analysis - B2C - Retail

Example – Retail

Objective – Segment customer base

Tools – Customer database and TIMi

An upcoming marketing campaign for the Direct Markets Corporation will address its entire customer base  in four ways. Four different messages delivered to its customers, each one tailored to a particular segment.

Using TIMi and TIMi’s Stardust Module, Direct Markets’ marketing team segment the customer base and determine the key characteristics that separates each segment from the others.

TIMi’s Stardust Module, which uses an advanced segmentation methodology, makes accurate segmentation easy and fast: it takes only a few minutes even with a very large dataset.

Contact us today for a free ROI consultation.

 


Contact 20Q Group today to get value from your data. Get more from your data today.

Contact us here or call +1 414 367 9207.

Schedule a call with us

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