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Making informed and intelligent decisions in this rapidly changing competitive business environment has taken center stage in every business today. Businesses today are fighting for survival on the one hand and leadership on the other. It makes it imperative to take decisions with the speed of light and with a controlled cost. This seems to be a complex combination for most businesses. What makes matters worse is the non-availability of skilled resources. Let me add another component – the unavailability of consistent and accurate data that has been tested in a controlled environment – necessary to drive business decisions.
You sure have the tools supporting the cause and have invested quite a bit on technology. You need to take intelligent decisions every minute but do you have the time and resources.
Market Equations offers Predictive Analytics and Modeling Solutions to organizations worldwide to assist them with their decision support requirements. 
Predictive Analytics and Modeling is being widely used in well managed companies to help them make informed fact based decisions that have a positive affect on their business performance.
Predictive Analytics as the name suggest is used to “predict future outcomes through the analysis of current and historical data”. The basic application of predictive analytics is to capture relationships in historical data to predict future outcomes to guide decision making ensuring risks are minimized.
Predictive models help Businesses gain insight through patterns found in data to predict future Business outcomes. Predictive models are commonly used in Credit scoring in the Financial Services Sector to detect credit worthiness based on historical individual data such as other financial commitments (loans), Credit history etc. Other industries that use these models include Insurance, retail, travel, healthcare etc.
Predictive Analytics is used in a variety of ways to also mean predictive modeling, forecasting, descriptive modelling etc. However, the difference lies only in the statistical techniques used in specific situations.
Explore how the Market Equations Consultative Approach to decision making works wonders.
- Predictive Models
- Descriptive Models
- Decision Models
Some Industries that commonly apply Predictive Models
- Banking, Financial and Insurance
- Retail
- Travel
- Healthcare
Areas of Application
- Direct Marketing/Cross Selling
- Customer Relationship Management
- Customer Retention
- Collection and Recovery
- Fraud Detection
Statistical Techniques Applied (partial list)
- Discrete Choice Models
- Survival Models
- Classification & Regression Trees
- Time Series
- Neural Networks
- Bayesian Techniques
Commonly used Statistical Tools:
Market Equations provides Predictive Analytics & Modeling solutions to companies worldwide aimed at providing and promoting a Fact based decision making culture in all organizations. We collect, analyze and interpret data to uncover interdependencies and hidden truths through an integrated process. Simply put we deliver Actionable Intelligence. Intelligence that translates into a positive marketing message that works all the time. Contact Us
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