Data Architecture World Class Operations - Impact Workshop.

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Presentation transcript:

Data Architecture World Class Operations - Impact Workshop

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.

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.

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

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

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

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

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

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

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

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

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

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

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.