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Adapting to the exponential development of technology
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Digitalization is impacting every industry in every economy, disrupting markets and upending competitive hierarchies. Across every business discipline, from operations and manufacturing to marketing and sales, companies are struggling to integrate new data, new analytics, and new technologies into their existing processes and practices. Companies that successfully adapt to these new and accelerating changes will outperform their competitors The new challenges require new ways of organizing, new social and technical architectures. In this session, we identify the key challenges businesses face in the era of massive digitalization, and the organizational and architectural steps that will enable savvy competitors to find business value in this time of tumultuous technical change. The gap between first steps and effective digitalization is large. For instance, businesses can run scrum teams without being agile; can have a data science lab without supporting autonomous model deployment to consumer-facing processes and applications; and can stand up a Hadoop ecosystem without understanding how the components fit together or what to do with it. Based on our deep experience with dozens of clients, we describe key differences in levels of technology maturity, and practical tactics leading companies are using to turn digital innovation into competitive advantage. Speaker Santiago Cabrera-Naranjo, Consulting Director, Teradata
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Adapting to the exponential development of technology
- Adapting to the exponential development of technology
- © 2018 Teradata2 SANTIAGO CABRERA-NARANJO CONSULTING DIRECTOR THINK BIG ANALYTICS, TERADATA santiago.cabreranaranjo@teradata.com 29TH APRIL 2018, BERLIN - GERMANY
- footer3 Who is Think Big Analytics?
- footer4 Who is Think Big Analytics?Compliance and Security Image Source: wired.com The very Beginning of thingsIndustrial Innovation
- In over 200 years we have achieved a lot… 1st 2nd 3rd 4th Mass production, assembly line, electricity Mechanization, water power, steam power Computer automation, Internet Intelligent Physical Systems by Christoph Roser at AllAboutLean.com
- BUT, Technology is developing exponentially! netscape, hotmail, ICQ www web 2.0 social media internet of everything machine economy google, amazon, ebay facebook, twitter online + offline blockchain, tangle
- Software is a clear Comercial Advantage After Amazon announced that it was buying Whole Foods US:WFM in a $13.7 all-cash deal, shares of grocery store chain Kroger Co. slid to close down 9.2%, shares of Costco Wholesale Corp closed down 7.2%, Target Corp.’s stock closed down 5.2% and shares of Wal-Mart Stores Inc. closed down 4.6%... Meanwhile, Amazon’s stock closed up 2.4% For a > 700 Bn. MarcCap Company that is +16,4 Bn. in 1 day through technology advantage
- © 2018 Teradata Image Source: Visual Capitalist8 Software is clearly the new value driver in the Economy
- footer9 Who is Think Big Analytics?Compliance and Security Image Source: wired.com Law of Diminishing ReturnsMonolith to Services
- The era of transactional Data Build Test DeployRequests Business Developers Code Base Delivery Pipeline
- The era of pseudo “Agile” Build Test DeployRequests Business Developers Huge Code Base Delivery Pipeline
- © 2018 Teradata Image Source: Visual Capitalist12 • Automation Fear • Huge code base = more bugs density • A lot of dependencies • Coordination, QA, Realeses, etc. Hiring new people may make you less productive Productivity Law of Diminishing Returns
- © 2018 Teradata Image Source: Visual Capitalist13 Innovation Law of Diminishing Returns • Unable to reinvent yourself • Very rigid Systems and Processes • People don’t try new things, you kill diversity • Your tech is 10 years old, you will be slow hiring the people you want.
- footer14 Who is Think Big Analytics?Compliance and Security Image Source: wired.com Law of Diminishing ReturnsBecoming truly Agile
- © 2018 Teradata15 Purpose Autonomy Mastery
- …architect assuming that you will be evolving constantly instead of architecting a final state! © 2018 Teradata footer16
- 17 Rapid Provisioning • Automation Maturity • The idea behind Cloud Computing Rapid Deployment • Deployment Pipeline in no more than some hours. • Developers and Operations to automate deployment soon Monitoring • Monitoring maturity: You will need to find problems very soon • Technical Issues (Errors, Availability) • Business Issues: (KPIs) © 2018 Teradata footer It’s not easy! Architecture as a Service - Prerequisites By Martin Fowler
- The Mindset: SaaS Build Test DeployRequests Multi-disciplinary Teams Team’s Tech Stack Build Test DeployRequests Build Test DeployRequests Team’s Delivery Pipeline Team’s BusinessManagement • Full Responsibility • Architect for Failure • Infrastructure as Code • All about APIs
- footer19 Who is Think Big Analytics? Image Source: wired.com Ecosystem Architecture
- Architecture as a Service - Principles Business of Things Know what you have Playbook Tech Committee
- footer21 Who is Think Big Analytics?Compliance and Security Image Source: wired.com
- Architecture as a Service - Security Management Data Protection Auditions Trails
- footer24 Who is Think Big Analytics?Compliance and Security WE DATA #irgendwasmitdaten & WE ARE HIRING @Teradata_de @SCabreraNaranjo www.careers.teradata.com
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- Several alternative title slide layouts are available toward the end of this template deck.
- Additional benefits are: Complete automation of proven analytics to minimize ongoing maintenance costs Ability to share underlying data, scores, and metadata across different analytic processes and applications Lower deployment costs through reuse of components across efforts Enabling scalable analytics within a framework that meets enterprise production standards
- Therefore, the software interfacestructure of a system will reflect the social boundaries of the organization(s) that produced it
- Avoid having isolation
- Closing slide for all presentations