Every organization must plan and forecast results. If the enterprise is to succeed, it must strive for accuracy and identify trends and patterns in the market and industry that will help it to predict future results, plan for growth and capitalize on opportunities.
Predictive analytics for business users leverages machine learning and assisted predictive modeling to help users achieve the best fit and ensure that they use the most appropriate algorithm for the data they wish to analyze. With these tools, users can explore patterns in data and receive suggestions to help them gain insight on their own without dependence on IT or data scientists. The enterprise can provide the tools needed at every level of the organization with tools and data science for business users that are sophisticated in functionality and easy-to-use for users at every skill level.
Smarten Insight provides predictive modeling capability and auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist. The plug n’ play predictive analytics and predictive modeling platform is suitable for business users. These tools allow the organization to apply predictive analytics to any use case using forecasting, regression, clustering and other methods to analyze an infinite number of use cases including customer churn, and planning for and target customers for acquisition, identify cross-sales opportunities, optimize pricing and promotional targets and analyze and predict customer preferences and buying behaviors.
Time Series Forecasting, like Holt Winters, Single, Double, Triple, Box Jenkins, ARIMA and ARIMAX.
Regression techniques, like Simple and Multiple Linear Regression.
Classification, including Naïve Bayes, Decision Tree, K-Nearest Neighbor, Multinomial Logistic Regression, Binary Logistic Regression and Support Vector Machine.
Association, including Frequent Pattern Mining.
Correlation techniques, like Spearman and Karl Pearson.
Clustering, including K Means and Hierarchical.
Hypothesis Tests, such as one-way anova test, paired t-test, independent t-test and chi-squared test.
Descriptive Statistics, including mean, median, mode, standard deviation, variance, quartiles, percentiles, skewness and kurtosis.
No complex algorithms or data manipulation
Auto-recommendations for algorithms to explore underlying data without advanced knowledge
No advanced data science skills required
Analyze, share and optimize business potential
Business users can prototype and hypothesize without professional assistance
Smarten Insight allows business users to work with sophisticated, yet easy-to-use tools. At the same time, supports integration with R Script, so that data scientists can capitalize on their expertise and leverage enterprise investments in R open source platform, to perform statistical and predictive algorithms, and complex analysis to provide the depth of detail and advanced analytics and reporting the organization needs for strategic decision-making.