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Data Architecture
Why Tools are Not Enough
Dan Hooper, Principal, ISI
What’s Wrong.
What’s Offered.
What’s Needed.
Demo.
Q&A.
Agenda
Data’s purpose?
profit
What’s Wrong?
Leading issues with data:
1. Integrity.
2. Security.
3. Disparate.
4. IT.
5. Intelligence.
6. Latency.
7. Growth (complexity, volume).
What’s Wrong?
State of the Market…
1. 36% have what they need (format, time, access).
2. 66% have shrinking decision window.
3. Average time to market (new data, dashboards, ad hoc):
 Leaders 4-5 days
 Followers 19 – 55 days
4. Single, centralized BI platform:
 Leaders 80%
 Followers 41%
5. Self-Service capabilities (create, configure, collaborate):
 Leaders 63%
 Followers 28%
6. Actionable BI, outcome manageable:
 Leaders 74%
 Followers 39%
Aberdeen Group, June 2013
What’s Offered
What’s Needed
BI 1.0 BI 2.0
Software Driven Architecture Driven
Views/Virtualization Integration + Business Logic
What Tool ? What Decisions ?
Proprietary/Specialists Common Standards
Managed Development Managed Content
Static Data Model, Views Dynamic Data Model
Redundant Automated
Governance? Governed
What’s Needed
BI Consumption
CapacityforAnalysis
Applications
BI 1.0
Architected
BI 2.0
Subscribers
Now that I think about it…
 BI consumers more self-sufficient?
 Ad hoc requests dropped?
 Multiple versions of the truth?
 Ready for growth in data complexity, volume and demand?
 Reliance on manual Excel processes or tribal knowledge?
 Costs and complexity?
What’s Needed
Data Strategy
What’s Needed
Data Governance
Primary Owners – LOB
Data Architecture
Primary Owners – IT
Data Architecture
1. LOB Requirements (from Governance Model).
2. Enterprise Data Model.
a. Data Sources.
b. Security.
c. Terminology.
d. Key Measures & Standards.
e. Growth & change.
f. Business Logic.
g. System Controls & Interfaces.
3. Development Plan.
What’s Needed
What’s Needed
Consider the ODS – Operational Data Store
 Realization of Enterprise Data Model.
 True source of Operational BI (C-Level focus).
 Time & cost to market.
 BI is Content Managed, not Development Managed.
 Security and Data Integrity.
 Change Control and Integration Hub.
 What a Tool needs, what larger audience wants.
What’s Needed
Demo
What’s Needed
Dan Hooper Lori Adams
Principal, Sales & Marketing VP, Sales
Integrated Services, Inc. Integrated Services, Inc.
dhooper@isi85.com ladams@isi85.com
1. DFW Business Intelligence User Community.
2. DFW SharePoint User Community.
3. ISI Data Strategy Session (off the clock).
Next Steps & Resources

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Data Architecture Why Tools Are Not Enough

  • 1. Data Architecture Why Tools are Not Enough Dan Hooper, Principal, ISI
  • 2. What’s Wrong. What’s Offered. What’s Needed. Demo. Q&A. Agenda
  • 4. Leading issues with data: 1. Integrity. 2. Security. 3. Disparate. 4. IT. 5. Intelligence. 6. Latency. 7. Growth (complexity, volume). What’s Wrong?
  • 5. State of the Market… 1. 36% have what they need (format, time, access). 2. 66% have shrinking decision window. 3. Average time to market (new data, dashboards, ad hoc):  Leaders 4-5 days  Followers 19 – 55 days 4. Single, centralized BI platform:  Leaders 80%  Followers 41% 5. Self-Service capabilities (create, configure, collaborate):  Leaders 63%  Followers 28% 6. Actionable BI, outcome manageable:  Leaders 74%  Followers 39% Aberdeen Group, June 2013
  • 7. What’s Needed BI 1.0 BI 2.0 Software Driven Architecture Driven Views/Virtualization Integration + Business Logic What Tool ? What Decisions ? Proprietary/Specialists Common Standards Managed Development Managed Content Static Data Model, Views Dynamic Data Model Redundant Automated Governance? Governed
  • 9. Now that I think about it…  BI consumers more self-sufficient?  Ad hoc requests dropped?  Multiple versions of the truth?  Ready for growth in data complexity, volume and demand?  Reliance on manual Excel processes or tribal knowledge?  Costs and complexity? What’s Needed
  • 10. Data Strategy What’s Needed Data Governance Primary Owners – LOB Data Architecture Primary Owners – IT
  • 11. Data Architecture 1. LOB Requirements (from Governance Model). 2. Enterprise Data Model. a. Data Sources. b. Security. c. Terminology. d. Key Measures & Standards. e. Growth & change. f. Business Logic. g. System Controls & Interfaces. 3. Development Plan. What’s Needed
  • 13. Consider the ODS – Operational Data Store  Realization of Enterprise Data Model.  True source of Operational BI (C-Level focus).  Time & cost to market.  BI is Content Managed, not Development Managed.  Security and Data Integrity.  Change Control and Integration Hub.  What a Tool needs, what larger audience wants. What’s Needed
  • 15. Dan Hooper Lori Adams Principal, Sales & Marketing VP, Sales Integrated Services, Inc. Integrated Services, Inc. dhooper@isi85.com ladams@isi85.com 1. DFW Business Intelligence User Community. 2. DFW SharePoint User Community. 3. ISI Data Strategy Session (off the clock). Next Steps & Resources