SAS BIG DATA ANALYTICS INCREASING YOUR COMPETITIVE EDGE

Transcription

1 SAS BIG DATA ANALYTICS INCREASING YOUR COMPETITIVE EDGE

2 SAS VISUAL ANALYTICS STATE OF THE ART SOLUTION FOR FASTER, SMARTER DECISIONS AIMED AT THE MASSES Data visualization Approachable analytics Robust reporting Mobility and collaboration SAS Visual Analytics provides data exploration & visualization along with highly powerful approachable analytics to a large number of end-users

3 APPROACHABLE ANALYTICS SAS VISUAL ANALYTICS Analytics designed for the masses approachable analytics Powerful analytical models utilized behind a simple point and click GUI Automatic model selection where appropriate Analytical models operate in black box mode making them simple to consume with no analytics knowledge Rapid analytic insights that can be easily surfaced Correlation Forecasting Decision Trees

4 MOVING BEYOND APPROACHABLE ANALYTICS APPROACHABLE ANALYTICS ANSWERS MANY QUESTIONS. BUT SOME QUESTIONS REQUIRE FURTHER ANALYTIC EXPLORATION Which customers are currently most profitable? Which factors are individually most relevant in influencing customer churn? What are the most obvious emerging trends driving customer satisfaction? Which business drivers are correlated with each other? Approachable Analytics Which customers will be more profitable in the future? How can we exploit combinations of factors, to predict which customers will leave? Which of my customers will most likely respond if I target them with my next campaign? How can I best describe the complex interactions I expect to find in my data? Requires more than just Approachable Analytics

5 WHAT S NEXT? SAS VISUAL STATISTICS TAKE IT TO THE NEXT LEVEL. ON A SINGLE SHARED INFRASTRUCTURE In-Memory Analytics Platform Seamlessly move between the two! Shared Graphical User Interface SAS Visual Analytics with Approachable Analytics SAS Visual Statistics with Approachable Modelling No statistics skills required No programming knowledge required Focus on consuming analytics Some Statistics skills required No programming knowledge required Focus on producing analytics

6 APPROACHABLE MODELLING SAS VISUAL STATISTICS Analytic modelling designed for the non-coder approachable modelling Powerful interactive model creation in a simple point and click GUI Immediate response to model adjustments empowering experimentation Ability to utilize different model types and compare model performance Faster modelling allows users to test out more hypothesis ensuring that the end result is more accurate and more robust. Build numerous models by segments/groups Classification Regression Clustering Group-by

7 IN SUMMARY ONE POWERFUL SINGLE SHARED PLATFORM Visual data preparation Visual data exploration Approachable analytics Approachable modelling Assess and compare Access structured and unstructured data Data filtering, including outliers Join tables and compute columns Data partitioning for better hardware utilization Dynamic Group-By Operations Discover and explore relationships between variables Build hierarchies on the fly to add drill-down capabilities to visualizations Variable distribution and summary statistics Compelling visuals include box plots, heat maps, animated bubble charts and more. Interactively generate decision trees to graphically depict likely outcomes Surface forecasts using automatic selection of the most appropriate forecasting algorithm Show best fit to quantify relationship between variables Scenario analysis to see how the forecast adjusts to changes in business drivers Setup regression analysis using both categorical and continuous business drivers Work with classification modelling using logistic regression and decision trees Data driven segmentation using clustering Dynamic Group-By Operations Model comparison using lift charts, ROC charts, misclassification tables etc. Interactively evaluate lift Interactively define event probability cut-off Generate Base SAS code for scoring purposes

8