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Performing warranty analytics in the automobile industry can be a cumbersome task as we need a combination of warranty claims data along with the production and billing data to understand the rates at which warranty claims are received or payments are made toward those claims. However, the data needed to carry out this type of analysis typically comes from different transaction systems. One system records the production and sales of the vehicles, and another system contains information about failures and warranty claims for these vehicles. By using a combination of SAS® products, we integrated the data from these two systems, enabling our client to perform the desired warranty analytics. We exploited various unconventional programming techniques to combine and manipulate the data into the desired form for use with SAS® Visual Analytics. This paper showcases various innovative approaches deployed by our team to treat, manipulate, and harmonize loosely related data, and effectively facilitate different types of analyses on this data using SAS Visual Analytics. A distinguished programming methodology has been used in both data manipulation (with Base SAS® and advanced SAS® coding) and report building (using parameters and calculated items). Developers and consultants can adopt these approaches to create functionalities that arent directly available in SAS® Visual Analytics 7.3 or earlier versions. <br/><br/>Prateek Singh, Bristlecone India Ltd <br/><br/>Paresh Rodrigues, Bristlecone India Ltd <br/><br/>Saket Shubham, BristleCone India Ltd. <br/><br/>Shiv Kumar, Mahindra and Mahindra
Session 2905
en
jeff.foxx@sas.com
Performing warranty analytics in the automobile industry can be a cumbersome task as we need a combination of warranty claims data along with the production and billing data to understand the rates at which warranty claims are received or payments are made toward those claims. However, the data needed to carry out this type of analysis typically comes from different transaction systems. One system records the production and sales of the vehicles, and another system contains information about failures and warranty claims for these vehicles. By using a combination of SAS® products, we integrated the data from these two systems, enabling our client to perform the desired warranty analytics. We exploited various unconventional programming techniques to combine and manipulate the data into the desired form for use with SAS® Visual Analytics. This paper showcases various innovative approaches deployed by our team to treat, manipulate, and harmonize loosely related data, and effectively facilitate different types of analyses on this data using SAS Visual Analytics. A distinguished programming methodology has been used in both data manipulation (with Base SAS® and advanced SAS® coding) and report building (using parameters and calculated items). Developers and consultants can adopt these approaches to create functionalities that arent directly available in SAS® Visual Analytics 7.3 or earlier versions. <br/><br/>Prateek Singh, Bristlecone India Ltd <br/><br/>Paresh Rodrigues, Bristlecone India Ltd <br/><br/>Saket Shubham, BristleCone India Ltd. <br/><br/>Shiv Kumar, Mahindra and Mahindra
2018-04-03T15:47:32.724-04:00
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2018-04-03T15:47:32.670-04:00
Unleashing the Power of SAS® Visual Analytics: Warranty Analytics in the Automobile Industry
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year:2018
industry:4150
software:VISANLYTOFR
support:sgf-papers/session-type/breakout
support:sgf-papers/skill-level/intermediate
support:sgf-papers/topic/analytics/forecasting-econometrics
support:customer-roles/data-scientist
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