PwC India Data and Analytics May 2016

Transcription

1 India Data and Analytics May 2016

2 Our Data and Analytics Offerings Industry BI and Data Management Strategy, Vendor Evaluation BI on ERP Enterprise Wide Data Warehouse Implementation Financial Planning, Budgeting and Consolidation Analytics Strategy Analytics Maturity Assessment and Benchmarking Analytics Model Implementation FS (BCM, Insurance, PE, Invt. Mgmt.) TICE Retail and Consumer Govt and Public Sector Manufacturing Healthcare and Pharma Analytics Competency Centre set up

3 Our team brings an end to end consulting capability for Data & Analytics across industries Leadership: 4 Partners, 1 Executive Director, and 6 Directors A pool of 500+ D&A Consultants and 100+ specialized in Advanced Analytics Experience-wise distribution of resources % % 29% 40% Business Analysts Technical Architect % 22% 26% Data/Statistical Modeler BI/Analytics Developer % Yrs 2-5 Yrs 5-8 Yrs 8+ Yrs 18% 16% 14% 12% 10% 8% 6% 17% Industry-wise distribution of projects 15% 14% 9% 5% 13% 28% 9% 11% 8% 15% Enterprise Analytics Data Mining Analytics Strategy Analytics Implementation BI Reporting Analytics Review 4% 2% 0% FS Govt Manuf Services TICE CIP 28%

4 Reusable tools and accelerators Thought Leadership Implementation methodology India Analytics CoE D&A Portal Knowledge & KPI repositories

5 Centre of Excellence as a Hub Key Building Blocks Reuse repository ( Templates, methodologies, utilities, tools). Web based access to library and environments Breadth of technologies and services Pre-configured demo/development environment Methodologies, tools, templates, based on successful customer implementations D&A CoE examples: Regulatory Reporting, ETL, BI, EPM and Analytics Objective: To sustain and to improve/rework on the existing CoE artifact Objective: Develop accelerators, processes & methodologies. Project delivery through CoE Objective: Define framework, get stakeholder commitment, formulate long-term plan How do Customers Benefit from a CoE? Accelerators that speed implementation cycles Optimally leverage reusable assets Standardize delivery quality Reduce cost, increase speed, minimize risk, reduce defects Leverage best practices Ready available knowledgeable resources

6 Select Analytics Cases

7 Improving Trade Promotions Efficacy A leading Indian CPG company was struggling to optimize its trade spend and understand the drivers of successful trade promotions. s team work with client to prepare an analytics solution to understand the efficacy of promotions and improve ROI a b c d

8 Customer Segmentation Customer A telecom giantsegmentation wished to enhances its marketing effort and wanted to understand its customer in a better way. performed a rigorous yet easily deployable clustering/ segmentation by using demographic, call, text, data usage, customer care, location and handset information a b c India Data and Analytics April

9 Demand Forecasting Demand Forecasting A leading retail chain wanted to get a more accurate forecast of its future sales across various product categories. implemented advanced solution to forecast consumer demand by determining and capturing the critical factors impacting demand and developing forecast models a b India Data and Analytics April 2016 c 13

10 Customer Churn Customer Churn A telecom operator was facing a relatively higher amount of churn as compare to industry. The client hired to create and deploy a robust churn model. The team used client demographic information, usage information, billing and other information to create churn models to help reduce the customer churn a b c India Data and Analytics April

11 Social Media Intelligence for an Automobile Giant Social for an Automobile Giant A leadingmedia automobileintelligence company was looking for social media business intelligence to understand what is the brand perception of clients product. s created an extensive framework and KPIs to monitor sentiment and other issues around client on social media India Data and Analytics April

12 Cross Sell (Next Best Product) Cross Sell (Next Best Product) A leading telecom player was looking to enhance the utilization of its Value Based Services and ensure that right offer is provided to right set of subscribers. The s team performed collaborative filtering to create next best product recommendation for client a b Identification of Product Affinity d c India Data and Analytics April

13 Analytics Maturity Benchmarking A leading retailmaturity bank in India wishes to benchmark its analytics strategy and capability. The Analytics Benchmarking team created a methodology and framework to evaluate how the client is faring as compare to industry best practices India Data and Analytics April

14 Contacts Sudipta Ghosh Partner, Data and Analytics