Challenge:Increasing number of organizations are realizing the value of predictive analytics and what it can do for them. A non-profit museum needs to generate a highly targeted prospect list for their upcoming fundraising campaign. Since it’s difficult for a small size organization to employ full-time statisticians and data scientists,
Helping a Major Rail-Car Management Enterprise gain more steam in Financial Planning & Analysis (FP&A)
Challenge:The Financial Planning and Analysis (FP&A) process at a major rail-car pooling Enterprise in North America was cumbersome, time consuming and unreliable resulting in considerable non-value adding activities for the Finance Team. Solution: A new FP&A solution was deployed using SAS Financial Management Server thus enabling the Finance, Equipment and Fleet groups to easily create their quarterly and yearly plans. The solution
Linear Regression Analysis fits a straight line between dependent variable and one or more independent variables. It is used for predicting the dependent variable using independent variables. In this section, Linear Regression analysis will be performed using some of the Python’s libraries/modules such as ‘Panda’, ‘Scikit-Learn’, ‘Numpy’, ‘MatPlot’ and ‘Statsmodels’.
Entity Resolution is the process of linking and grouping of constituting records for entities. For an organization, the most important entities are people (customers, employees, contractors), assets (transferable, non-transferable), products (tangible, intangible) and geography (locations, maps, boundaries). Every instance of an entity will have one or more identifying attributes. For
An Organization’s biggest asset is their data about their customers and resources. Banks have a plethora of information about their customers’ transactions, choices and inclinations. The best application of this information would be to enhance the customer experience through gaining incremental insights about them. To achieve this objective, Organizations need
The proverb, “Necessity is the mother of invention” applies well to the recent changes in the healthcare Industry. For decades, when the prevalent reimbursement model was pay-for-service, there was no incentive to change or innovate. When Centers for Medicare and Medicaid Services (CMS), the largest payer for healthcare in US,