Explore various range of Analytics tools for your distinct enterprise needs. The Why, How, When, Where of the data points in an enterprise can be answered and explored by the below techniques
Understand from past performance by mining of trends and patterns from historical data to look at the reasons for specific results.
This is usually achieved by drawing out a univariate/bivariate plot and analysis.
Discover future outcomes and predict possibility of an event. Achieve this by combining the response function matrix along with rules decision matrix with historical data.
There are 6 steps to create a system of predictive analytics:
Prediction and improvement of inventory levels for product, services, resource pool and each unit of consumption in a enterprise
Prediction of sales data with marketing levers like cross sell /up sell Demand forecasting for each product offering
Maximization of sales with sales force distribution analytics
Prediction of customer behavior leading to moment of truth
Pricing analytics vis competition sku pricing
Loyalty and customer life time value modeling to predict value of each lead
Empower your business with deep learning models and use prescriptive analytics to answer the Why, How, When, Why Not, Which other of each decision. Use prescriptive analytics to classify and identify the real hidden significant decision variables of the last mile granularity.
Identify future opportunity uncover trends in hidden risk pattern to add real value to your business. Prescriptive analytics relies on continues learning by using in new data from feed to continuously improving accuracy.
Moment of truth analytics – both pre-buying and post buying
Optimization of right inventory levels to provide for supply chain levels for the right demand at the right time
Business and revenue model optimization to provision optimum user analytics