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Open Source Architecture for Building BPM Solution - Part 1

[This article talks about how a custom BPM solution can be build using available open source BPM tools like Activiti or jBPM] Business Case: A MFI is looking to automate its processes. It has basic functions called loan origination and loan servicing Loan origination includes following steps a) Borrower risk analysis b) Borrower on-boarding where as loan servicing includes a) Disbursements b) Collection c) Closer d) Loan extension etc. Other than these two functions MFI also have operations team which takes care ground level activities like physical transportation of cash and documents, deployment of agents, identification of loan potential areas. So how can we build solution which is scalable and minimal cost for this MFI? Below is one of many solutions Step 1: High Level Architecture Design Step 2: Process Discovery and Implementing the Executable processes Lets restrict ourselves to only loan servicing – disbursements of funds. And see how we can fit that in ...

How Kirana stores can handle Organize Retail in India

Organize retail formats include departmental stores, hypermarkets, supermarkets and specialty stores. Any store having more than 500 sq. feet is counted in organized retail. There are more than 14 million retail shops in India, organized retail accounts for only 4-5% [i] , but it is growing at 40% per annum. Organized retail in India will grow faster as regulations loosen up. Government will sooner or later give in to demand of better FDI regulations, in favor of big corporate houses. Time is not far away when Kirana stores will walk the path of obsolescence. So how can these small stores save themselves? SWOT Analysis Kirana Stores Organized Retail Stores Strength Well connected to community, Customized service, Near to customer Bargaining Power, Allows customer to choose, Volume Sales, Financial strength, Bigger display area, Trendy Weakness Outdated, relatively costlier, Less display area, Higher cost per SKU ...

Predictive Model (Using Trend Analysis, Univariate Analysis and Binomial Logistic Regression)

Predictive models have been in use since advent of various statistical tools. Both marketing and financial institution uses it extensively. This article tries to look under the hood how a predictive model is created. I will try explaining it using simplest available statistical tool like Trend analysis , Univariate Analysis and slightly complex tool called Binomial Logistic Regression . Lets assume company want to know how much attrition will happen in current quarter, so that it can start hiring process. First step of model is find out what are the factors that can lead to attrition of an employee. To find these factors we simple take past data and holistic list of factors. Age, Income, Martial Status, Education Background, Work Rating, Number of leaves, Number of days came later than usual timing, Number of year in company, Business Unit, Business vertical, Past Work experience Indicative list of factors for Company Attrition Model On each list...