Plug n' Play Predictive Analysis Transforms BI Users Into Data Scientists
To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. ElegantJ BI plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists by enabling the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage self-service plug n’ play predictive tools to confidently make business decisions.
Discover the Many Applications of Plug n’ Play Predictive Analysis
Analyze Customer ChurnFind out which customers are likely to move away (churn) based on purchase patterns, demographics, geographic and other macro parameters.
Assess Customer Acquisition PotentialFind out if and how a particular customer or a set of customers can be converted from prospect to customer.
Recommend Cross-Sales Opportunities Discover the next high potential product, promotion or offer for sales conversion, and target customers based on profile and the other products he or she has purchased.
Identify Ideal LocationsRecommend the best location for a warehouse, new store or branch based on demographics, geography, macro parameters, supply chain and other related parameters.
Optimize Loyalty ProgramsUse churn analysis, acquisition potential, cross sales and other algorithms to design a loyalty program that offers value to the business and its customers.
Optimize PricingCreate prediction engine to recommend best possible pricing for each product, item and SKU, based on competitive pricing and positioning considerations, and targeted geography and demographics.
Featured Highlights of ElegantJ BI Plug n’ Play Predictive Analysis Tools
Time Series Forecasting predicts future values with simple, naive and weighted averaging, simple, centered, double and weighted moving averages and more!
Causation and Prediction Algorithms including simple linear, least square and multiple linear regressions.
Classification and Prediction including naive Bayes classification, associative, decision tree and K-Nearest Neighbour techniques.