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Big data and its impact on indian business

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big data and its impact on indian bussiness

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Big data and its impact on indian business

  1. 1. BIG DATA AND ITS IMPACT ON INDIAN BUSINESS
  2. 2. INTRODUCTION  Big data refers to the dynamic, large and disparate volumes of data being created by people, tools and machines. it requires new, innovative and scalable technology to collect, host and analytically process the vast amount of data gathered in order to derive real- time business insights Big data includes information garnered from social media, data from internet-enabled devices, machine data, video and voice recordings.
  3. 3. CHARACTERISTICS OF BIG DATA
  4. 4. WHY BIG DATA ? Growth of big data is needed 1. Increase of storage capacities 2. Increasing of processing power 3. Availability of data of different data types 4. Everyday we create 2.5 quintillion bytes of data. 5. Facebook generates around 10TB daily
  5. 5. HOW IS BIG DATA DIFFERENT? 1. Automatically generated by machines (eg sensor embedded in a machine). 2. Typically an entirely new source of data (e.g use of the internet) 3. Not designed to be friendly (e.g text streams)
  6. 6. BIG DATA SOURCES USER APPLICATIONS SYSTEM SENSOR BIG DATA FILES
  7. 7. BIG DATA ANALYTICS examining large amount of data appropriate information identification of hidden patterns, unknown correlation competitive advantage better business decisions :strategic and operational effective marketing ,costomer satisfaction,increased revenue.
  8. 8. ANALYTICS VALUE CHAIN
  9. 9. TYPES OF TOOLS USED IN BIGDATA Where processing is hosted? -----distributed servers/cloud (Amazon EC2) Where data is stored? ------Distributed storage (Amazon S3). What is the programming model? ---distributed processing( map reduce) How data is stored & indexed? -----High performance schema –free data bases( e.g MONGO DB). What operations are performed on data? ---analytic/semantic process
  10. 10. Merits of big data Big data eliminates intuition. Real time data is just not a storing petabytes of data in data warehouse ,its ability to make better decisions and meaningful actions at the right time.’ Fast forward to present and technologies like hadoop give us scale and flexibility to store data before processing it. Technologies such as MapReduce,Hive and Impala enables us to run queries without changing the data structures underneath.
  11. 11. Risks of bigdata  Will be overwhelemed  Need the right people to solve the problem.  Costs esculate too fast  Need not capture all 100%  Many sources of big data is privacy.  Self-regulation.  Legal regulation.
  12. 12. COMMONALITY LEADING TECHNOLOGY VENDORS IBM---NETEZZA EMC– GREENPLUM ORACLE --EXADATA  MPP Architecture  Commodity Hardware  RDBMS Based  Full SQL Compilance
  13. 13. BIG DATA IMPACT ON IT  Big data is troublesome force providing both opportunities and challenges to IT organisations  4.5 million IT jobs in big data  India will require big data scientist in the next couple of years in addition to the data analysts and data managers to support big data space.
  14. 14. BIG DATA IN BANKING AND SECURITIES Challenges : Early warning for securities fraud and trade visibility. Card fraud detection and audit trails . Security exchange commission uses big data to monitor financial market activity Big data providers specific to this industry include 1010 data Quartet FS, Nice Actimize.
  15. 15. BIG DATA IN COMMUNICATIONS MEDIA AND ENTERTAINMENT Collecting ,analyzing and utilizing consumer insights. Leveraging mobile and social media content . Understanding patterns of real-time ,media content usage  Big data providers specific to this industry include SPOTIFY ,AMAZON PRIME, SPLUNK,INFOCHIMPS.
  16. 16. BIG DATA IN HEALTH CARE Rising medical costs. Unavailability /inadequate /unusual data Visual data allows faster identification and efficient analysis of healthcare information for early detection of chronic disorders. Big data providers specific to this industry include RECOMBINANT DATA ,HUMEDICA .
  17. 17. BIG DATA IN RETAIL AND WHOLESALE TRADE Unutilized data derived from customer loyalty cards ,POS scanners . Optimized staffing through data from shopping patterns’. Timely analysis of inventory Reduced fraud Big data providers specific to this industry include first retail,first insight ,epicor

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