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.

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