Gartner EA: The Rise of Data-driven Architectures
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This document discusses the rise of data-driven architectures and the need for enterprise architecture (EA) tools to shift their focus from models to delivering actionable insights from data. It notes that most EA survey respondents felt current tools focus too much on drawings and not enough on useful answers. The document outlines how a data-driven EA can provide business value through faster decision making and addresses challenges around complexity, speed and data integration. It advocates that EA tools prioritize democratization, integration and accelerating decisions. The document also discusses trends around cloud infrastructure and the need for tools to help analyze multi-cloud environments and design cloud governance.
Gartner EA: The Rise of Data-driven Architectures
- 1. From Models to Data: The Rise of Data-driven Architectures André Christ, CEO May 14th 2019 @leanix_net / @christ_andre
- 2. Is a new data-driven approach needed for EA?
- 3. 66% 31% 3% Strongly agree Strongly disagree Neutral Most EA tools focus too much on models but need to deliver more actionable insights? Source: EA Tool Survey, 130 participants, April 2019, Copyright Mark McGregor
- 4. 63% 26% 11% Strongly disagree Neutral Strongly agree Getting useful answers from an EA Tool is more important than drawing pictures? Source: EA Tool Survey, 130 participants, April 2019, Copyright Mark McGregor
- 5. How can a data-driven EA add business value?
- 6. 8 Global Automotive & Retail leaders enable transformation with 2000+ monthly active users Business Capability Maps Application Roadmaps Strategic Portfolio View
- 7. 9 Financial Institutions cut identification of tech- nology proliferation from months to seconds Technology Lifecycles Business Impact Analysis IT Security Workflows
- 8. 10 Global Service & Technology brands control their data flows and mitigate GDPR risk Interface Dependencies Data Flows in Business Context Data & Hosting Locations
- 9. Why is a data-driven EA the way to go?
- 10. 12 Simple questions are often hard to answer quickly C-Level • Where is the business impacted when IT applications fail (SLA)? • Which dependencies are preventing a faster sunset of legacy? • In what priority can we move applications into the cloud? Business Partner IT Delivery • Which applications can I reuse instead of investing twice? • Which (IT) owners do I need to involve when I start a project? • Which applications store sensitive data objects (GDPR)? • Which applications are at risk due to legacy technology? • Which standards should I use to avoid technology proliferation? • Which products & vendors are we using, where can we consolidate?
- 11. 13 Complexity and required speed cannot be handled in Excel or with modelling tools 500+ Processes 1000+ Applications 2500+ Technologies Example Company
- 12. 14 LeanIX establishes a data-driven Architecture Management … Large Enterprises High-growth tech
- 13. 15 … which enables intuitive analysis in business context and facilitates faster decision taking Large Enterprises High-growth tech
- 14. 16 A data-driven EA program unlocks business value Application Portfolio Management Technology Risk Management Data Flow & Integration Architecture • x % faster project starts • y # less redundant applications & projects • z $ savings due to harmonization (M&A) • x $ less extended support costs • y % faster, real-time risk assessment • z $ reduced risk due to head monopoly • x $ GDPR risks & violations avoided • y $ Reduced indirect SAP license spent • z % less manual documentation & drawing Business ValueUse Cases
- 15. 17 Our fast growth enables heavy invest in product 180+ LeanIX Customers 20192012 “Google Maps for IT!” Fast 50: Top 10 fastest growing companies Invests $ 30M in LeanIX
- 16. Which priorities should an EA tool roadmap have?
- 17. 19 3 Key Roadmap Priorities: Democratization, Integration and Acceleration 2.98 3.00 3.02 3.09 3.17 3.19 3.56 3.61 3.61 3.75 Automatically Create Diagrams That ROI can be Shown in Weeks not Months Manually Create Diagrams The Ability to Communicate Guidelines and Governance Policies Producing High Quality Out-of-theBox Reports Integration with other systems e.g. ServiceNow Enables Easy Impact Analysis Across People, Process, Systems, and Capabilities Provides Output That is Easily Consumable and Relevant for Non-Architects Easily Import and Connect External Data That the Tool is Easy to Use and Intuitive 1 Democratize EA 2 Integrate Ecosystem 3 Accelerate Decisions Source: EA Tool Survey, 130 participants, April 2019, Copyright Mark McGregor
- 18. 20 Find information fast by intuitive grouping and smart result matching Old Behaviour Grouping by Fact Sheet Type Better results by Pre-fix matching 1
- 19. 21 Enter data as easy as in Google Spreadsheets 1
- 20. 22 Get recommendations for Business Capabilities and quickly maintain data 1
- 21. 23 Bridge data silos using open APIs and out- of-the-box integrations LeanIX Out- of-the box integrations 2
- 22. 24 Publish all interactive LeanIX reports to Confluence and allow real-time data access 2
- 23. 25 Accelerate decisions by more business context in your reports, e.g. data flows 3
- 24. How does a data-driven EA look tomorrow?
- 25. 27 Big shift in IT infrastructure: Physical → Virtual → Cloud Physically-defined 1985–1999 Software-defined 2000–2014 Application-defined 2015 →
- 26. 28 Public cloud will not be winner-take-all Source:https://www.forbes.com/sites/johnkoetsier/2018/04/30/cloud-revenue-2020-amazons-aws-44b-microsoft-azures-19b-google-cloud-platform-17b/#37982ffc7ee5, https://medium.com/work-bench/introducing-the-2017-work-bench-enterprise-almanac-the-next-generational-shift-in-enterprise-d482a93c3bc0 ~$30B Run-Rate ~45% Growth First-mover Developer- friendly Lock-in, land, expand ~$15B Run-Rate ~100% Growth Owns the app layer (O365) Flip MSFT ELA’s into Azure ELA’s Visibility into on-premise enterprise workloads ~$10B Run-Rate ~100% Growth Cutting-edge tech Only recently enterprise- ready *GCP Run-Rate includes G-Suite and Google Apps 1) Hybrid (Public & Private) 2) Multi-Cloud
- 27. 29 Effective impact and business performance assessments of cloud is a challenge Enterprises get a technical documentation for major cloud & virtualization platforms … … BUT it is hard to analyse larger environments in (static) documentation Enterprises face an ever growing number of deployments of business applications to Public Cloud … … BUT EAs do not yet have a perfect tool to design cloud governance infrastructures
- 28. 30 Leverage TBM Taxonomy to automatically map multi-cloud services to business context Leverage TBM Taxonomy to map Multi-Cloud
- 29. German engineering meets … One single focus: Provide the best SaaS for Data-Driven Enterprise Architecture Bonn, Germany Boston, MA … global customer excellence
- 30. www.leanix.net or visit our Booth Thank you 32