Technology tipping points Big Data and Blockchain use case presentation
- 1. Technology Tipping Points: Bigdata and Blockchain BY VINOD KUMAR NERELLA 31/12/2016
- 2. Agenda • Introduction to Big Data and Block Chain • Use cases with Big Data • Use cases with Block chain 31/12/2016
- 3. Why we need to talk about tipping points ? • Now a days, if you back to sleep another tech wave passes by. • All enterprises are realized that doing nothing is not an option. http://www3.weforum.org/docs/WEF_GAC15_Technological_Tipping_Points_report_2015.pdf 31/12/2016
- 4. • Big Data • Block chain 31/12/2016
- 5. Big Data • Volume • Velocity • Variety 31/12/2016
- 6. Social Media Analytics – Online Brand Management •Identify market trends and behaviors as they surface to unlock new business opportunities. Market Research & Insights •Measure sentiment and reputation to know how consumers perceive your brand. Brand Management •Discover every segment of your audience to build targeted outreach and win new fans. Customer Segmentation •Track consumer response to new campaigns and offerings to ensure positive feedback. Product & Campaign Launch •Detect and manage crises before they escalate to protect brand reputation and loyalty. Crisis Management •See the complete view of each customer by connecting social data to all your systems. Customer Management Engage Listen Analyze Monitor 31/12/2016
- 7. Financial Services Use Case ETL Augment, Retail Banking & Capital Markets •Mine Customer emails, CDRs to provide BI functionality - CRM •Range of use cases across Capital Markets SingleView of Customer •Wealth Management •Retail Banking •Capital Markets Risk Management •Credit rating • Fraud Detection Digital Transformation •Real-time analytics •Predictive analytics •Customer Journey •Micro & Macro persona marketing Data Products •Cross Company Datalike •Being leveraged across mortgage banking •More use cases emerging Risk Mgmt Cyber Security Fraud Detection Predictive Analytics Data Compliance Digital Banking 360 degree view Data Quality 31/12/2016
- 9. Customer segmentation process Portfolio Digital Transactions Ancillaries Preferences Trade Systems Other finance systems Customer Master Social media data Assign Customers to Segments • Ultra High net worth • Platimum • Gold • Silver Discover Segments Visual Analytics Pattern Discovery Recommendations: Calibration on Historical Data Incrementally add new Data • Customer Realignment • Design targeted promotions to improve performance in specific markets Data Sources Data Ingestion Data Processing Actionable Insights Customer Assignment Rules Account 31/12/2016
- 10. Manufacturing – Big data use cases Customer Experience & Design Supply Chain Efficiency Manufacturing Optimization Top 3 Manufacturing Business Priorities Manufacturing Use Cases Connected Manufacturing Yield & Quality Optimization Control Quality proactively with Real-time Manufacturing data Insights Track Product Returns for Defects Predictive Equipment Maintenance to avoid manufacturing stoppages Energy Management Product Monitoring with Telemetry – Connected Products, Connected Equipment Customer Insights from Product Usage Single view of Customer / Product / Manufacturing Process Insights for Improved Product Design Granular n-tier Supply Chain Visibility, Serialization & ePedigree Assure Just-in-Time Delivery of Raw Materials Supply Chain Risk Management Connected Logistics Increase Operational Efficiency 31/12/2016
- 11. Yield & Quality Optimization, Predictive Maintenance Data modeling Predictive Analysis Machine Learning Dashboards Dashboards and alerts Internet of Anything (IoA)
- 13. Bigdata + Data science • Big -Data - the storage tanks • Data science • Data-driven science • Interdisciplinary field about scientific processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics. 31/12/2016
- 14. Block Chain KEY TO A VERY DIFFERENT FUTURE, AN OPEN SOURCE SOFTWARE CODE AND DISTRIBUTED LEDGER TECHNOLOGY THAT SUPPORTS CRYPTOCURRENCIES (BITCOIN) THAT PROVIDE THE TOOLS TO DELIVER DIFFERENT BUSINESS OPERATING MODELS AND OUTCOMES. 31/12/2016
- 15. Block Chain • A serial set of blocks that transaction information data in the chain of blocks linked to previous block. • A shared ledger technology allowing any participant in the business network to see THE system of record (ledger) Business Networks, Markets & Wealth • Any business network is collection of customers, supplies, banks and partners. No business exists in isolation. • Business Networks are cross geography & regulatory boundary • Wealth is sum total of value of goods & services across business network • Flow goods & services across business network is a Market 31/12/2016
- 16. • Anything that is capable of being owned or controlled to produce value, is considered an asset • A participant is a member of a business network • A transaction is an asset transfer between two or more participants • A contract is set of conditions under which transactions occur Assets, Participants, Transactions & Contracts $ 31/12/2016
- 18. Blockchain in a nutshell Shared Contract CryptographyShared Ledger Consensus Ensuring secure, authenticated & verifiable transactions Business terms embedded in transaction database & executed with transactions All parties agree to network verified transaction Append-only system of record shared across business network Broader participation, lower cost, increased efficiency 31/12/2016
- 20. Smart Contract • Low barriers to entry for a supplier and a buyer to conduct the transaction. • The “reputation” of blockchain participants‘ performance on past smart contracts will help the highest-performing companies to demand premiums. • Smart equipment can replace human contracting parties for certain transactions, as in our example of the vending machine. • Devices on the IoT can communicate with smart contracts to keep track of the status and state of smart contracts for settlements. • Smart shipping containers could, for example, automatically sell their surplus capacity. • Faster settlements using cryptocurrencies 31/12/2016
- 21. Other Various use cases • Governments AcrossTheWorld AreTurning use it • P2P or Distributed systems • New business models 31/12/2016
- 22. Some more news on Blockchain 31/12/2016