GET BIG RESULTS OUT OF BIG DATA

Make the most of your big data with predictive analytics and data mining tools

DISCOVER BIG DATA ANALYSIS

Find the needle in your haystack


When you have a data set that is too large to manually analyze you need to utilize data mining techniques, cluster analysis, anomaly detection, dependencies and spatial indices to illuminate the relevant data in your large data sets. Big data analytics prepares your data so that you can inspect the most relevant subsets of the data, then make informed decision on what to do next. To make even better use of data mining tools and techniques you can implement predictive analytics to make accurate estimates of current and future scenarios.

DIG DEEPER WITH PREDICTIVE ANALYTICS

See the future, take action, see real results


Isolating and interpreting relevant data from a large data set is only half the power of big data tools – with predictive analytics software you can extrapolate trends so that you can take action before anticipated events turn into a real risk or opportunity. Using a wide variety of regression techniques, and machine learning techniques is no longer restricted to the IT department. Business users can now harness the power of big data analytics through simple charts, graphs and scores indicating likeliness of various outcomes – Contact us today to learn how data mining software can work for you.

KEY APPLICATIONS FOR PREDICTIVE ANALYTICS

Customer Analysis

Improve retention by utilizing CRM data to identify marketing, sales and customer service opportunities as soon as new customers are acquired.

Health Care Risk Assesment

Maximize your data by identifying situational risk in patients applying for health care coverage.

Debt Collection

Statistical analysis can identify the best course of action for recovering debt at the highest possible recovery rates.

Cross-Sell Opportunities

Big data tools provide targeted purchase suggestions to online customers based on spending and other user behaviors over periods of time.

Fraud Detection

Identify inaccurate credit applications before they get processed, spot fraudulent transactions, and catch identity thieves before harm is done.

Investment Risk Management

Use data mining techniques and predictive analytics software with investing data to identify the best portfolios to maximize returns.

CASE STUDY

Data Analytics & Predictive Analysis

Data Analytics & Predictive Analysis

A system developed for the Los Angeles Clippers basketball organization utilizes analytical tools which comb through extremely large databases of NCAA player performance statistics in an effort to predictively determine standout players with growth potential at the next level of play.

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