This paper provides an overview of “Maintenance Project specific OTD/Effort Variance Prediction Modeling” for predicting Effort and Schedule in Maintenance projects. This also helps is taking decisions based out of what if analysis (which change can yield maximum benefit). The key objectives are to get prediction about meeting the estimates and Quality Objective with pre defined confidence level. This tool is helpful to Project managers to understand the certainly of meeting the OTD goal as well as meeting effort goal. If some variation is found then guides towards factor contributing most for that variation. This Model will also be helpful in identification of risks for the project, as it is Predicting the Certainty in meeting the Project Objectives. This will also guide towards Optimum process Composition.

This paper describes the business case on “Maintenance Project specific OTD/Effort Variance Prediction Modeling” using tool Crystal ball, challenges faced, and benefits realized while institutionalizing the modeling tool in M/s Birla soft Ltd.

Meet Rekha Ramrakhiyani
Rekha Ramrakhiyani has over 12 years of IT Experience.She has expertise in handling Maintenance/Support Kind of projects. She is well versed with multiple technologies like AS400, Java etc.

Meet Santosh Kumar
Santosh Kumar has over more than 15 years of experience in Quality Assurance and Business Excellence. He is a Performance-driven Executive with proven abilities to strategize & deliver large complex projects within budget and desired quality. He has a extensive implementation experience on various Quality Assurance models like CMM®, CMMI®, ISO-9001, ISO 20000, ISO 27001, US FDA and ITIL® best practices. He has participated in many assessments/appraisals on CMM, CMMI® as ATM and led the ISO 9001 certification for the organization.