1. Data Architecture
World Class Operations - Impact Workshop

2. Why should data be treated as an asset?
Historically, data is the least governed organizational asset. Changing this mindset and managing data appropriately will increase its value.
Non-existent or initial approaches to data can cause:
Low data quality, which can lead to inefficient operations.
Increased risk of data loss or data breaches.
Low data trust throughout the organization, which can lead to business decisions being made based on feeling rather than empirical data.
Increased instances of rogue data being used.
Treating data as an asset results in:
Transparency about where data sits, how it is used, and who is using it.
Increased data trust, which improves decision making.
Improved availability – data is available to the right people at the right time.
Tight data lifecycles.
A thorough understanding of any gaps or issues that exist, and the steps needed to mitigate them.

3. Use data architecture to improve data quality, integrity, and security, now and into the future
Data architecture provides a holistic view of enterprise data repositories, the technology that enables and manages them, the governance processes that are over them, the people that manage them, and the principles, policies, and guidelines relevant to an organization’s business and IT goals.

4. Workshop Schedule & Core Deliverables
Name
Goal
List of deliverables
Module 1
Perform a Current State Assessment
Establish the organization’s approach to data and its perceived data maturity level.
Data Asset Management Assessment
Data Context Diagram
Data Audit Interview Schedule
Module 2
Perform the Data Audit
Provide an overview of data audits and an audit framework to follow for successful results.
Data Interview Guide
Data Source Inventory
Root cause analysis
Module 3
Develop a Data Architecture
Create a target data architecture.
Data Architecture Initiative Planning
Issue Reconciliation
Module 4
Plan
Establish initiatives, taking cost and value into consideration.
Initiative Documentation
List of prioritized initiatives
Initiative timeline
Module 5
Communicate
Create a communication plan and identify benchmarks to track success.
Metric Tracking
Communication Plan

5. Roles and responsibilities participating in the Workshop
Key Roles:
IT Director
Data Owner
(accountable for data access and use)
Enterprise Architect
Data Steward
(accountable for data quality)
IT Manager
Workshop Module
1. Current State Assessment
2. Perform a Data Audit
3. Develop a Data Architecture
4. Plan
5. Communicate

6. Module 1: Current State Assessment
1.1 Assess Data Value and Risk
1.2 Assess Data Asset Management
1.3 Prepare the Data Audit
Assess Data Quality
Introduction to the Info-Tech Data Maturity Model
Select an auditor
Assess Data Security
Assess Data Asset Management Maturity
Communicate with stakeholders
Assess Data Availability
Reconcile Maturity with Data Value and Risk
Validate the audit scope and IT reports
Assess Data Compliance
Schedule audit participants

7. Module 2: Perform the Data Audit
2.2 Review the Audit Results
2.3 Analyze Data Gaps
Record data sources
Complete the Data Context Diagram
Identify recurring data issues
Tailor the interview guide
Identify problem areas
Perform root cause analysis
Conduct interviews
Finalize the Data Source Inventory

8. Module 3: Develop a Data Architecture
3.1 Develop Target Architecture
3.2 Reconcile Architecture
Develop data architecture drivers and principles
Issue level reconciliation
Select target building blocks
Process level reconciliation
Document target architecture
Refine the target architecture
Define building block dependencies and priorities
Prioritize building blocks

9. 4.2 Sequence the Initiatives
Module 4: Plan
4.1 Develop Initiatives
4.2 Sequence the Initiatives
4.3 Validate the Plan
Group building blocks into initiatives
Distribute initiatives on a timeline
Reassess the maturity level in target states
Document initiatives
Develop initiative plan
Validate the final target state
Identify dependencies among initiatives
Continue performing data audits and refining data architecture
Assign cost, value, and risk to each initiative

10. 5.3 Create a Communication Plan
Module 5: Communicate
5. 1 Review the Workshop
5.2 Identify Metrics
5.3 Create a Communication Plan
Summarize workshop
Determine metrics
Identify distinct groups
Identify metric and communication goals
Track metrics
Establish format
Complete the plan

11. Data Architecture Workshop Primary Deliverable: Communicate with the organization about the implementation of data procedures.
Assessment of organization’s approach to data.
Detailed analysis of perceived data maturity.
Overview of data audit.
Creation of a target data architecture.
Strategy planning for creating initiatives and communicating them to the organization.
Data Asset Management Assessment
Data Source Inventory
Data Architecture Initiative Planning

12. Data Architecture Workshop Core Deliverables
14 key deliverables will be completed during the workshop:
Data Asset Value and Risk Assessment
Assess the importance of quality, security, availability, and compliance with regard to your data.
Set the bar for where your organization needs to be when it comes to these four categories.
Data Asset Management Assessment
Discuss the organization’s approach to data.
Determine where people believe the organization is and where they think it should be on the data maturity model.
Data Context Mapping
Determine the data sources that fall within the data audit’s scope.
Interview Guide
Determine what information needs to be gathered during the interviews.
Ensure that the right questions are being asked of the right people.
Data Source Inventory
Record information about all the data sources that are part of the business function being audited.
Make note of data quality, security, compliance, and availability issues that are identified during the interviews or in the IT Report.
Root Cause Analysis
Identify major data issues and determine what the primary causes are. 1 4 5 2 3 6

13. Data Architecture Workshop Core Deliverables
14 key deliverables will be completed during the workshop:
Data Architecture Initiative Planning
Create a high-level plan by identifying gaps in your architecture and addressing them with building blocks.
Data Architecture Principles
Ensure your organization has data architecture principles in place.
Issue Reconciliation
Ensure that the target architecture addresses and reduces issue areas.
Initiative Documentation
Map out initiatives to weigh benefits, payoffs, and cost.
Prioritized initiatives
Taking IT and business drivers into account, determine the order in which you will deploy building blocks.
Initiative timeline
Ensure that over time, initiatives contribute to the organization’s advancement of data management.
Metric Tracking
Determine initiative success by setting and tracking metrics.
Communication Plan
Ensure all audiences have been identified and the correct method of communicating with them has been selected. 7 11 8 12 9 13 10 14

14. Data Architecture Workshop: Built on World Class Research, Experience, and Standards
Ability to create a data architecture
Strategic roadmap of data management strategy
Research Process
Tools & Templates
Team with over 30 years experience.
Over 2,800 hours of research.
Based on primary and in-field research.
Data Asset Value and Risk Assessment
Data Asset Management Assessment
Interview Guide
Data Source Inventory
Data Architecture Initiative Planning
Initiative Definitions
Initiative Timeline
Metric Tracking
Communication Plan
COBIT Driven
Grounded in open international standards.