Analytics Center. Creating a Data-Driven Culture

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1 Analytics Center Creating a Data-Driven Culture

2 We entered an era of Analytics & Big Data Big Data market is expected to reach $84 billion in 2026 Source: Wikibon Big Data Market and Forecast,

3 Big Data creates impact for a wide variety of industries, business units & functions Industries Financial Services Telecommunication Retail Media Healthcare Hospitality/Tourism Energy FMCG Manufacturing Online Logistics Business Units Marketing Sales Customer Finance Channel Product Service Advertising/Brand Production Business Functions Customer Management Pricing Optimization Supply Chain Management Inventory Management Risk Management Fraud Detection Debt Collection Call Center Analytics Digital/SM Analytics Media/Ads Analytics

4 which is as dramatic as advent of Internet Big data will revolutionize the way we do business to a degree similar to the advent of the Internet in the 1990s 51% 38% 10% 1% Majority of users (89%) Strongly Agree or Agree that big data will revolutionize business operations in the same way the Internet did Source: Accenture Research

5 Early adaptors already started to widen the gap Companies utilizing analytics and big data approaches best are : 2x more likely to have top quartile financial performance 5x more likely to make decisions faster than competition 3x more likely to execute decisions as intended

6 However there are challenges on the road to success Technical Challenges Data Security Performance Scale Availability Cost

7 However there are challenges on the road to success Organizational Challenges Skills & Capabilities Data Security Performance Scale Availability Cost

8 However there are challenges on the road to success Cultural Challenges Data-Driven Culture Skills & Capabilities Data Security Performance Scale Availability Cost

9 Data-driven organizations should be supported with 6 main skill sets & a data-driven culture Data-driven Culture Enablers Visible, Clearlyarticulated Strategy Data Driven Decision Making & Business Monitoring Strong Data Leadership Broad Data Literacy Innovate Through Experimentation Revised Hiring Processes & Criteria Optimized Employee Retention Policies Open, Sharing Culture Core Skill Sets Analytical Skills Computer Science Creativity Mathematics & Statistics Business Skills Communication Ability

10 Big data creates huge number of jobs In 2015, 4.4 million jobs globally is estimated to be created to support big data, generating 1.9 million jobs in the United States alone

11 however, this is the main challenge due to absence of right skill sets Demand for analytical talent will be 50-60% more than supply by 2018

12 Roles required in a data-driven organization: Data and Analytics Manager A data analytics manager steers the direction of the data science team and makes sure the right priorities are set. Data Scientist Data Analyst Data Architect Cleans, massages and organizes (big)data Collects, processes and performs statistical analysis Creates blueprints for data management systems to integrate, centralize, protect and maintain data sources Data Engineer Database Administrator Business Analyst Develops, constructs, tests and maintains architectures Ensures the database is available to all relevant users, is performing properly and is being kept safe Improves business processes as intermediary between IT and business

13 In order to close this gap, as Analytics Center, we provide training and development services Comprehensive set of trainings Tracks 1 - Math and Theory Track 2 - Tools and Software Track / Data Engineering 2 - Tools and Software Track / Mastering Big Data 3 - Business Applications Track 4 - Strategy and Management Track Sample Courses Fundamentals of Business Analytics Data-driven Decision Making Introductory Data Analysis with Spreadsheets & Databases 202 -Management Information and Data Systems Big Data Essentials Developing Big Data Applications Business Applications of Analytics Customer Analytics 401- Big Data for Executives and Leaders 402-Management & Org. of Analytics Practices & Initiatives

14 By following certain tracks, professionals are certified Foundation Level Data Analyst Track Advanced Analytics and Intro to Big Data Track Foundation Level Data Scientist Track Big Data Expert Track Continuous Mentorship Support Analytics Professional Certifications indicates proficiencies at different levels which are acquired through completion of certain series of training tracks. Program participants will acquire certification after successful completion of each track. At the end of 48 weeks, participants will be entitled for Big Data Expert Certification.

15 Please follow our training calendar to get equipped

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