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Mid Point Presentation Date: 11 th March 2016 Mid Point Presentation Date: 11 th March 2016 PVNGS Prototype and Analytics Pushkar MaidJahnavi MurthyLandon.

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Presentation on theme: "Mid Point Presentation Date: 11 th March 2016 Mid Point Presentation Date: 11 th March 2016 PVNGS Prototype and Analytics Pushkar MaidJahnavi MurthyLandon."— Presentation transcript:

1 Mid Point Presentation Date: 11 th March 2016 Mid Point Presentation Date: 11 th March 2016 PVNGS Prototype and Analytics Pushkar MaidJahnavi MurthyLandon HydeSameer PatilSaurav Das

2 Agenda Project Overview Project Approach Existing Application Analysis Industry Best Practices Prototype Walkthrough Form Selection Draft Forms Update Forms Reports and Analytics Reports Requirements Sample Reports Analytic Capabilities Next Steps

3 Project Overview Opportunities Data collection for Observation Program Visualizing collected data in forms of reports Inferring information through Analytics Proposed Deliverables Mobile app prototype for data collection Interactive dashboard with flexible reports Analytical reports based on Observation Program data

4 Project Approach Generate UI Mockups & Model Screens Draft Sample Reports Understand Existing Application Research Best Practices Understand Existing SQL/ETL Model Analysis Phase Design Phase Develop App Prototype Develop Reporting Dashboard Development Phase

5 Existing Application Analysis Low accessibility in the fieldRe-work in data collection due to paper formsAbsence of admin capabilitiesData governance & Over-customization

6 Industry Best Practices Easy & Simple Navigation Thrive for Consistency Intuitive Design Shortcuts Simple Natural Dialogue Speak User’s Language Focus on Minimum Viable Product

7 Prototype Walkthrough

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11 Reports & Analytics Reports Requirements Flexible drill down based on pre-set parameters Improve data visualization through interactive dashboards Basic dimensions for any report:  Time Period  Attribute  Fundamental Category  Rating  Department

12 Reports & Analytics Specific Report Examples: Standardized Observation for BEST (across Dept.) Standardized Observation for Selected form Raw Counts of I/O & BL for Department Safety report across all departments

13 Reports & Analytics Safety report across all departments

14 Reports & Analytics Analytic Capabilities  Predictive or descriptive models using observation data Plant Shut down data BEST form data  Find the correlation between Clock reset data and observation program data

15 Next Steps Incorporate feedback for app prototypeBuild proof-of-concept ETL to generate reports Generate interactive reports and build dashboard as per requirements Run Analytical models on Observation Program and clock reset data

16 Thank You


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