APAC Exec Roundtable
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The document outlines the trends and challenges faced by businesses in 2020, emphasizing the urgency for digital transformation and cost optimization amidst the COVID-19 crisis. It discusses the adoption of event streaming as a core architecture for organizations aiming to become real-time digital enterprises, highlighting case studies from Walmart and Capital One. The conclusion encourages companies to consider their current technology investments and the importance of modernizing their data architecture to enhance operational efficiency and customer experience.
APAC Exec Roundtable
- 1. APAC Exec Roundtable Thurs 18th June 2020
- 2. Agenda 2 01 Introduction Challenges in 2020 Key trends The opportunity 02 Your current state… and why we believe there’s a future state architecture that will help you win Introduction to Event Streaming 03 Adopting event Streaming Typical customer journey / Practical advice - including adopting fully-managed-services Closing comments on Confluent
- 3. 3 Headwinds H1 2020 Being a Digital leader has never been more important. “Businesses that once mapped digital strategy in one- to three-year phases must now scale their initiatives in a matter of days or weeks.”
- 4. Listening to our customers, three strategic themes remain consistent... 4
- 5. 5Approx. discretionary spend Increasing Operational Efficiencies (cost savings)60% Initiatives to increase Revenue (e.g. improving customer Experience) 30% Creating New Business Models (new revenue) 10% Listening to our customers, three strategic themes remain consistent...
- 6. Use data (events) for better, faster real-time decisions & automation Transform architecture, Build for flexibility Lower fixed operating costs —e.g. using Cloud services / migrating to Microservices Automate business processes. (workflow automation, AI & ML) - incl. chatbots for customer service, AI & ML for Fraud Prevention, Cyber Risk, Regulatory Contextual interactivity / OmniChannel experiences / Back office integration, movement to online (perhaps entirely) Personalizing and optimizing the next step in the customer’s journey - improving CX Obsessing over the customer & customer journey New Entrants / Challengers New Digital business models (adjacent to existing business) / pivoting e.g. IoT - connected devices, Logistics - sensors & big data... Deploy applications & infrastructure to support the accelerated shift to online channels 6 Examples... Spoiler alert: event streaming underpins these capabilities
- 7. 7 In 2020, these trends have only accelerated... Digitizing all channels Increased pressure on Cost Reduction → Incl. Cloud - Amidst the COVID-19 crisis, digital has become central to every interaction, forcing organizations - and individuals - further up the adoption curve almost overnight...
- 8. ● In this Post-COVID world, do you agree that your technology spend aligns with what other companies have shared with us (~60% cost optimization, 30% improving CX, 10% new Business models and innovation)? ● What do you feel is the right mix of spend for your organization and industry? ● Many of our customers are saying they want to become real-time digital enterprises to respond more effectively to disruption and meet the increasing now-now-now demands of their customers in the Post-COVID digital era. Is that also something that your organization is aspiring towards? Questions / Discussion:
- 9. Your current state… and why we believe there’s a future state architecture that will help you win Introduction to Event Streaming Part 2
- 10. Typical Enterprise Data Architecture - a Giant Mess 10 LINE OF BUSINESS 01 LINE OF BUSINESS 02 PUBLIC CLOUD
- 11. And the biggest challenge to infrastructure modernization? 11 Executives point to: ● People ● Skills ● Management challenges
- 12. 12 Customer Experience Overall, your current state may restrict your ability to deliver on your strategic objectives Operational Efficiencies New Business Models Slow Batch Processing, Periodic Queries on Passive Data - lack of real-time experiences Limited Scalability, expensive to maintain Deliver the agility and new features and functions - with real-time requirements
- 13. Rethinking data as a continually updating stream of events Event Streaming Introducing Event Streaming
- 14. “Walmart is able to take data from your past buying patterns, their internal stock information, your mobile phone location data, social media as well as external weather information and analyse all of this in seconds so it can send you a voucher for a BBQ cleaner to your phone – but only if you own a barbeque, the weather is nice and you currently are within a 3 miles radius of a Walmart store that has the BBQ cleaner in stock.”
- 15. “Walmart is a $500 billion in revenue company, so every second is worth millions of dollars. Kafka and Confluent are the backbone of our digital omnichannel transformation and success.” —Chris Kasten, VP of Walmart Cloud Transforming Retail through Event Streaming Impact ● Revenue — Kafka and Confluent helped top-line company growth ● Scale — Improved processing of 8,500 nodes for 11 billion events per day ● Brand — Delivered exceptional omnichannel customer experience through new offerings, resulting in brand loyalty
- 16. “CapitalOne is able to use data, in real-time, to identify an anomalous transaction on your account, based on your contextual history - what you’ve spent in the past, the location of the transaction versus the location of your cell phone. It is able to do this, to prevent fraudulent transactions, whilst offering a superior customer experience and support new ways of interacting with the bank, saving both operational costs and fraud losses.”
- 17. Preventing Fraud with Real-Time Event Streaming Impact ● ROI — Replaced legacy system with batch processing, saving time and preventing potential losses ● Scale — Implemented event streaming platform with ability to process more than 27B real-time events a month to pinpoint suspicious behavior and respond ● Customer Experiences — Improved identification of questionable activity, triggering real-time, actionable alerts for customers “We look at events as running our business. Business people within our organization want to be able to react to events—and oftentimes it's a combination of events.” —Chris D’Agostino, VP of Streaming Data Engineering
- 18. Event Streaming is Transforming Every Industry Auto / Transport Without Event Streaming With Event Streaming Batch-driven scheduling Real-time ETA Banking Nightly credit-card fraud checks Real-time credit card fraud prevention Retail Batch inventory updates Real-time inventory management Healthcare Batch claims processing Real-time claims processing Media Batch data pipelines - production supply chain Real-time data pipeline Manufacturing Scheduled equipment maintenance Automated, predictive maintenance Defense Reactive cyber-security forensics Automated SIEM and Anomaly Detection U.S. Defense Agencies
- 19. ● Many companies we speak to have raised the frustration around how they would like to accelerate their digital transformation initiatives, but their legacy data architecture is holding them back. Do you feel that your efforts to move towards becoming real-time digital enterprises is being hampered by your existing data architectures, and technical debt that’s built up over the years? ● What are some of these technology frustrations that you’ve encountered? Or are the challenges primarily around finding the right talent with the right skill sets? Questions / Discussion:
- 20. Adopting event Streaming Typical customer journey / Practical advice - including adopting fully-managed-services Part 3
- 21. I N V E S T M E N T & T I M E VALUE 3 4 5 1 2 Event Streaming - a typical customer adoption journey... Early Interest Mission critical, but disparate LOBs Identify a project Mission-critical, connected LOBs Projects Platform Central Nervous System The Level 4 jump
- 22. 3 4 Mission critical, but disparate LOBs Mission-critical, connected LOBs Level 4 - the Platform Network Effect Metcalfe’s Law: communications networks increased in value in proportion to the number of users This transition is as much about People and Process (Governance etc.), as Technology
- 23. Central-Nervous System for Data Hadoop ... Device Logs ... App ...MicroserviceMainframes Data Warehouse Splunk ... Data Stores Logs 3rd Party Apps Custom Apps / Microservices Same Day Transactioning (Account Open) Fees Charges & Billing Real-time Customer 360 Machine Learning Models Real-time Data Transformation Real-time Fraud Detection
- 24. ● We’ve heard examples of Walmart and Capital One. Walmart who are challenging digital disruptors like Amazon.com, CapitalOne who are widely viewed as a digital leader in Financial Services. They’ve both embraced real-time event streaming at the heart of their digital nervous system. ● Do you agree that having a central nervous system for your organisations that allow you to respond to real-time events is critical to your own digital transformation and innovation initiatives? Questions / Discussion:
- 25. About Confluent
- 26. 26 Confluent Enables Your Event Streaming Success Confluent founders are original creators of Kafka Confluent team wrote 80% of Kafka commits and has over 1M hours technical experience with Kafka Confluent Platform extends Apache Kafka to be a secure, enterprise-ready platform Confluent helps enterprises succeed with reduced effort, less risk and faster time to market Hall of Innovation CTO Innovation Award Winner 2019 Enterprise Technology Innovation AWARDS
- 27. Confluent Products: Software and SaaS 2727 SELF-MANAGED SOFTWARE Confluent Platform The Enterprise Distribution of Apache Kafka In the datacenter VM FULLY-MANAGED SOFTWARE Confluent Cloud Apache Kafka Re-Engineered for the Cloud In the cloud Both: Subscription products where price scales with usage
- 28. The Cost-Efficient Way to Deploy Kafka Confluent Platform (case study: top 20 bank) Confluent IP (Tiered Storage) reduced broker nodes ~70% Est. savings of $5M per year vs. Open Source AK Confluent Cloud (common scenario) 1 2 3 ⬇50 % Cloud Infrastructure Operational (FTE) Support and other spend Total self-managed Confluent Cloud Ask about our TCO Calculator...
- 29. Damien Wong <dwong@confluent.io> Richard Koh <rkoh@confluent.io> Lyndon Hedderly <lyndon@confluent.io> Jo Balfour <jo@confluent.io> cnfl.io/slack cnfl.io/blog Thank you! Link to Project Metamorphosis https://www.confluent.io/blog/cost-effective-kafka-for-lower-tco/ Get a free TCO assessment https://www.confluent.io/project-metamorphosis/cost-effective/