Event-driven Business: How Leading Companies Are Adopting Streaming Strategies
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With the evolution of data-driven strategies, event-based business models are influential in innovative organizations. These new business models are built around the availability of real-time information on customers, payments and supply chains. As businesses look to expand traditional revenues, sourcing events from enterprise applications, mobile apps, IoT devices and social media in real time becomes essential to staying ahead of the competition. Join John Santaferraro, Research Director at leading IT analyst firm Enterprise Management Associates (EMA), and Lyndon Hedderly, Director of Customer Solutions at Confluent, to learn how business and technology leaders are adopting streaming strategies and how the world of streaming data implementations have changed for the better. You will also learn how organizations are: -Adopting streaming as a strategic decision -Using streaming data for a competitive advantage -Using real-time processing for their applications -Evolving roadblocks for streaming data -Creating business value with a streaming platform
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Event-driven Business: How Leading Companies Are Adopting Streaming Strategies
- 1. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Event-driven Business: How Leading Companies are Adopting Streaming Strategies John Santaferraro Research Director Enterprise Management Associates Lyndon Hedderly Director Customer Solutions Confluent
- 2. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Featured Speakers Slide 2 © 2018 Enterprise Management Associates, Inc. John Santaferraro, Research Director, EMA John is the research director for analytics, business intelligence, and data management at EMA. He has 23 years of experience in data and analytics, from startups to executive positions at Fortune 50 companies. His deep understanding of the industry comes from years of leadership in implementation, product and marketing organizations, along with multiple big data imagineering efforts for finance, communications, retail, manufacturing, healthcare, events, oil and gas, and utilities. Lyndon Hedderly, Director Customer Solutions, Confluent Lyndon helps organizations model how digital, and specifically how fast data can enable new business models and improve company performance. Prior to joining Confluent, Lyndon was a director of digital strategy at Acquia, head of customer success at Centrix—a U.K. digital start-up—and an IT strategist and enterprise architect at Accenture. Lyndon holds an MSc in Neuroscience incl. Neural Networks & AI, from Oxford University.
- 3. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Logistics for Today’s Webinar Slide 3 © 2018 Enterprise Management Associates, Inc. An archived version of the event recording will be available at www.enterprisemanagement.com • Log questions in the chat panel located on the lower left-hand corner of your screen • Questions will be addressed during the Q&A session of the event QUESTIONS EVENT RECORDING A PDF of the speaker slides will be distributed to all attendees PDF SLIDES
- 4. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Agenda • Adopting Streaming is a Strategic Decision • Organizations are Using Real-time Streaming for Their Applications • Roadblocks for Streaming Data are Evolving • Streaming Data is Driving Competitive Advantage • Examples of Real World Customer Implementations • Question and Answer Slide 4 © 2018 Enterprise Management Associates, Inc.
- 5. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Event-Driven Business How to stay on top of the flow of data
- 6. Three Trends Driving Streaming Platform Adoption Mobile Machine Learning Internet of Things Microservices 1. The digital revolution, including increased connectivity & IoT 2. Increased automation, incl. the web, machine learning and AI 3. An overall improvement in underlying technology
- 7. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Streaming data platforms jump to the #1 position in the EMA Hybrid Data Ecosystem Slide 7 © 2018 Enterprise Management Associates, Inc.
- 8. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Streaming takes the #1 position for the use of big data platforms. Slide 8 © 2018 Enterprise Management Associates, Inc.
- 9. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Stream Data is The Faster the Better Big Data was The More the Better ValueofData Volume of Data ValueofData Age of Data The value of data is related to time, not just volume.
- 10. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Adopting Streaming is a Strategic Decision
- 11. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTINGSlide 11 © 2018 Enterprise Management Associates, Inc.
- 12. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTINGSlide 12 © 2018 Enterprise Management Associates, Inc.
- 13. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 13C K O 2 0 1 8 J U L Y Business Value per Use Case Improve Customer Experience (CX) Increase Revenue (make money) Business Value Decrease Costs (save money) Core Business Platform Increase Operational Efficiency Migrate to Cloud Mitigate Risk (protect money) Key Drivers Strategic Objectives (sample) Fraud Detection IoT sensor ingestion Digital replatforming/ Mainframe Offload Connected Car: Navigation & improved in-car experience: Audi Customer 360 Simplifying Omni-channel Retail at Scale: Target Faster transactional processing / analysis incl. Machine Learning / AI Mainframe Offload: RBC Microservices Architecture Online Fraud Detection Online Security (syslog, log aggregation, Splunk replacement) Middleware replacement Regulatory Digital Transformation Application Modernization: Multiple Examples Website / Core Operations (Central Nervous System) The [Silicon Valley] Digital Natives; LinkedIn, Netflix, Uber, Yelp... Predictive Maintenance: Audi Streaming Platform in a regulated environment (e.g. Electronic Medical Records): Celmatix Real-time app updates Real Time Streaming Platform for Communications and Beyond: Capital One Developer Velocity - Building Stateful Financial Applications with Kafka Streams: Funding Circle Detect Fraud & Prevent Fraud in Real Time: PayPal Kafka as a Service - A Tale of Security and Multi-Tenancy: Apple Example Use Cases $↑ $↓ $↔ How Apache Kafka® and Confluent support example use cases to enable strategic objectives and drive business value.
- 14. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Organizations are Using Real-time Streaming for Their Applications
- 15. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTINGSlide 15 © 2018 Enterprise Management Associates, Inc.
- 16. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Event-Streaming Maturity Model / Adoption Journey Pre-Streaming Streaming Awareness and Pilot Early Production Streaming Mission Critical, Integrated Streaming Global Streaming Central Nervous System Customers realise varying levels of business value, depending on where they are on their adoption journey (event-streaming maturity)
- 17. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Roadblocks for Streaming Data are Evolving
- 18. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTINGSlide 18 © 2018 Enterprise Management Associates, Inc.
- 19. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Event-Streaming Maturity Model / Adoption Journey Pre-Streaming Streaming Awareness and Pilot Early Production Streaming Mission Critical, Integrated Streaming Global Streaming Central Nervous System Customers realise varying levels of business value, depending on where they are on their adoption journey (event-streaming maturity)
- 20. The Confluent Streaming Platform
- 21. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Streaming Data is Driving Competitive Advantage
- 22. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTINGSlide 22 © 2018 Enterprise Management Associates, Inc.
- 23. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Confluent’s Streaming Discovery Every customer is unique. The Streaming Discovery is simply a structured discovery process designed to understand the customer and create tailored recommendations around implementing a streaming platform and increasing value Slide 23 © 2018 Enterprise Management Associates, Inc.
- 24. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Examples of Real-world Customer Implementations
- 25. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Adoption in Silicon Valley Slide 25 © 2018 Enterprise Management Associates, Inc.
- 26. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Adoption in Enterprises Slide 26 © 2018 Enterprise Management Associates, Inc.
- 27. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Real-time Event Streaming in the Automotive Industry Slide 27 © 2018 Enterprise Management Associates, Inc.
- 28. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Financial Services: RBC Slide 28 © 2018 Enterprise Management Associates, Inc.
- 29. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Retail Slide 29 © 2018 Enterprise Management Associates, Inc.
- 30. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING© 2018 Enterprise Management Associates, Inc. 1. Adopt streaming data now to create and sustain competitive advantage. 2. Target streaming projects based on business value creation. 3. Define a roadmap that makes streaming core to your business strategy. Where to go from here?
- 31. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Question and Answer: Log Questions in the Q&A panel located on the lower left-hand corner. Slide 31 © 2018 Enterprise Management Associates, Inc. Learn More About Confluent at www.confluent.io
Hinweis der Redaktion
- Three trends are driving this change; The digital revolution, including increased connectivity & IoT Increased automation, including the web, machine learning and AI An overall improvement in underlying technology. This matters since the world has changed. There are several big trends at the heart of the digitization of business: IoT Microservices Mobile ML Last generation solutions are fragile and manual and don’t scale. Confluent is a modern, global self-service cloud-ready data system for the event-driven organization
- Big Data Use Cases
- The situation is complicated because it’s not just volume driving value… We believe Streaming platforms are challenging old assumptions. With big data it was - the more the better. ...With Stream Data it’s about the speed. More recent data is more valuable. Some data has time value just like money has time value. I once worked with a major European stock exchange that claimed that a single stock trade transaction loses 80% of its value 5 seconds after that trade occurs. What is the time value of data in your enterprise? https://medium.com/@johnt_16099/data-has-time-value-winners-exploit-data-streaming-now-not-later-f2018eadd775
- Why? A shift in tech usage from messaging between applications to a new era where insight is added to the stream of messages between applications. Between applicatinos there might be some realtime data cleansing or analysis, or there might be the addition of insight or data from a data lake or data warehouse.
- Horizontal Value Hierarchy diagram - showing use cases - and some examples… There’s obviously a lot of overlap here. Some use cases span multiple strategic objectives and business drivers - this diagram shows the primary relationship.
- Legacy systems. Batch processes; → Complex → Slow / Silo’d → Expensive Developer downloads Kafka & experiments, Pilot(s). LOB(s); Small teams experimenting; pub/sub / integration. → 1-3 use cases quickly moved into Production - but fragmented. Multiple mission critical use cases in production, with; scale, DR & SLAs. → Streaming clearly delivering business value, with C-suite visibility. Streaming Platform managing majority of mission critical data processes, globally, with multi-datacenter replication across on-prem and hybrid clouds. In parallel with other Big Data infrastructure. All data in the organization managed through a single Streaming Platform. → Digital natives / digital pure players - probably using Machine Learning & AI (Relational databases - redundant).
- Legacy systems. Batch processes; → Complex → Slow / Silo’d → Expensive Developer downloads Kafka & experiments, Pilot(s). LOB(s); Small teams experimenting; pub/sub / integration. → 1-3 use cases quickly moved into Production - but fragmented. Multiple mission critical use cases in production, with; scale, DR & SLAs. → Streaming clearly delivering business value, with C-suite visibility. Streaming Platform managing majority of mission critical data processes, globally, with multi-datacenter replication across on-prem and hybrid clouds. In parallel with other Big Data infrastructure. All data in the organization managed through a single Streaming Platform. → Digital natives / digital pure players - probably using Machine Learning & AI (Relational databases - redundant).
- Complete The only streaming platform built entirely on Apache Kafka Open Source. Complete means: Data bus + data integration (Kafka Connect) + stream processing (Kafka Streams). And we are the only one that provides support for each of these. Open Open source at the core. Easily plugs into your existing infrastructure. This is Confluent Open Source (vs vendor lock-in) Trusted Once it is in the process stream it is available. It is written and it is going to be there. Any data can written to Kafka which ensures data compatibility/reliability across pipelines. Enterprise Tools that are open source and Confluent, make it easy to operationalize Kafka data across the lines of business. We provide operations tools for keeping the platform running smoothly, plus monitoring and administration to streamline operational costs. This is Confluent Enterprise.