Data Mining & Predictive Analytics

Many organizations struggle to make sense – and make use – of all the business, operational and sales/marketing data they collect. So they invest in business intelligence, determine their key performance indicators, write reports and build dashboards.

Which is smart. But reports and dashboards only go so far, and only provide historical data.

What if you could look into the future? What information would make the biggest difference for your company? How would you change your strategy or tactics?

Data Mining is a natural extension of your business intelligence implementation. It is the next step – one that gives you the ability to predict events, trends and activities, one that gives you additional operational and strategic value from your data.

Mountain of Data Yields Valuable Insight

What can Data Mining do for you? It can reveal hidden sales trends, identify transaction drivers and enable accurate forecasting. And it can enable the development of customer profiles, discover sales opportunities, facilitate fraud alerts and predict lifetime customer value.

Virtually every organization can benefit from knowing both what has happened and what will happen.

Want to know more about your business, processes and customers? Need to dig deep into your mountain of data? We can help.

What Do You Want to Know ?

Data Mining offers knowledge discovery, which can discern patterns and relationships in your data, and give you the ability to detect buying patterns, determine purchase relationships between products, and analyze customer profiles.

Data Mining also offers predictive analysis, which can predict future events or activities with high accuracy, so you can forecast marketing campaign response, assess the likelihood of credit card fraud, project hospital patient length-of-stay, calculate fleet vehicle mileage and anticipate customer attrition/churn.

Intelligent Approach, Proven Methods

Whether you want to look backward or forward, our experienced staff utilizes traditional and cutting-edge data mining tools, proven methodologies and customized, proprietary algorithms to define models that will derive conclusions from your raw data.

In addition, our consultants can access a library of statistical tools used by more than 360,000 top corporations, government agencies and major academic and research institutions.

Our sophisticated approach continues as we use service oriented architecture (SOA) technologies to tightly integrate our data mining models – in real time – to business applications. The result is not just knowledge; it is online, on-time decision-support.

We can work in your offices or as a completely outsourced team. And each solution is unique to your business intelligence environment, and is designed specifically to deliver the answers and insight you need.

Looking Closer

We can utilize a number of sophisticated data mining techniques to find, analyze and give you the information you need to know, including...

Basic and Advanced Statistics
•  Descriptive and inferential statistics
•  Linear and non-linear fitting
•  Cart
•  Cluster analyses
•  Correspondence analysis
•  Discriminant analysis
•  Factor analysis
•  Perceptual mapping
•  Path analysis
•  Probit
•  Time series analysis
•  GLM 

Learning Systems 
•  Neural and machine learning methods for segmentation, classification, prediction

Advanced Optimization Methods
•  Linear and non-linear optimization
•  Integer and mixed integer programming
•  Dynamic programming

Other Methods
•  Genetic algorithms
•  Agent theory


Vertical Experience

And we offer a variety of industry-specific data mining and analysis solutions, including...

Telecommunications
•  Analyze customer behavior and demographics
•  Pricing simulation
•  Marketing campaign analyusis
•  ARPU and churn prediction

Banking and Financial Services
•  Statistical design and analysis for financial institutions for all four phases of full Basel ll compliance
•  Customized models for assessing Value-at-Risk (VaR) for credit risk, market risk and operational risk 

Healthcare
•  Patient data analysis
•  Quality of care and outcome analysis

Pharmaceutical
•  Statistical design and analysis for all four phases of clinical compliance trials
•  Survival and hazard analysis

Six Sigma
•  Techniques and software at CMAIC states to attain Six Sigma quality levels for products/services
•  Measure, benchmark and evaluate complex processes

Insurance
•  Risk factor analysis
•  Customer profiling
•  Customer lifetime value prediction 

Retail - Store and Online
•  Customer satisfaction
•  Forecast market potential 

Fleet Management
•  Predict current and future mileage
•  Predict service/repair intervals