• Data management professionals looking to improve the organization’s ability to leverage data in value-added ways
• Data governance managers and data analysts looking to improve the effectiveness and value of their organization’s data management practice

• Align data management plans with business requirements and strategic plans.
• Create a collaborative plan that unites IT and the business in managing the organization’s data assets.
• Design a data management program that can scale and evolve over time.

• Business leaders creating plans to leverage data in their strategic planning and business processes
• IT professionals looking to improve the environment that manages and delivers data

• Perform data strategy planning and incorporate data capabilities and plans into your broader plans.
• Identify gaps in current data services and the supporting environment and determine effective corrective actions.

• The organizational appetite for data is increasing, with growing demands for data to better support business processes and inform decision making.
• For data to be accessible and trustworthy for the business it must be effectively managed throughout its lifecycle.
• With so much data circulating throughout our systems and a steady flow via user activity and business activities, it is imperative that we understand our data environment, focus our data services and oversight on what really matters, and work closely with business leads to ensure data is an integral part of the digital solution.

• Despite the growing focus on data, many organizations struggle to develop an effective strategy for managing their data assets.
• Successful management and consistent delivery of data assets throughout their lifecycle requires the collaboration of the business and IT and the balance of technology, process, and resourcing solutions.
• Employees are doing their best to just get things done with their own spreadsheets and familiar patterns of behavior. It takes leadership to pause those patterns and take a thoughtful enterprise and strategic approach to a more streamlined – and transformed – business data service.

• Incremental approach: Building a mature and optimized practice doesn’t occur overnight – it takes time and effort. Use this blueprint’s approach and roadmap results to support your organization in building a practice that prioritizes scope, increases the effectiveness of your data management practice, and improves your alignment with business data needs.
• Build smart: Don’t do data management for data management’s sake; instead, align it to business requirements and the business’ vision for the organization’s data. Ensure initiatives and program investments best align to business priorities and support the organization in becoming more data driven and data centric.

1. Client Intimacy/Service Excellence
2. Product and Service Innovations
3. Operational Excellence
4. Risk and Compliance Management

• Data Governance
• Data Strategy Planning
• Data Architecture
• Data Operations Management
• Data Risk Management
• Data Quality Management

US$11M:

With frequent government scandals and corruption dominating the news, transparency to the public is quickly becoming a widely adopted practice at every level of government. Open government is the guiding principle that the public has access to the documents and proceedings of government to allow for effective public oversight. With growing regulations and pressure from the public, governments must adopt a comprehensive data management strategy to ensure they remain accountable to their rate payers, residents, businesses, and other constituents.

1. Transparency Transparency is not just about access; it’s about sharing and reuse.
2. Social and commercial value Everything from finding your local post office to building a search engine requires access to data.
3. Participatory government Open data enables citizens to be more directly informed and involved in decision making.

A professional sports team is essentially a business that is looking for wins to maximize revenue. While they hope for a successful post-season, they also need strong quarterly results, just like you. Sports teams are renowned for adopting data-driven decision making across their organizations to do everything from improving player performance to optimizing tickets sales. At the end of the day, to enable analytics you must have top-notch information management.

1. Talent identification
2. In-game decision making
3. Injury reduction
4. Athlete performance
5. Bargaining agreement

6. Fan engagement
7. Licensing
8. Sports gambling

Data offers key insights and opportunities when it comes to supply chain management. The supply chain is where the business strategy gets converted to operational service delivery of the business. Proper data management enables business processes to become more efficient, productive, and profitable through the greater availability of quality data and analysis.

Fifty-seven percent of companies believe that supply chain management gives them a competitive advantage that enables them to further develop their business (FinancesOnline, 2021).

Involving Data in Your Supply Chain

Maintaining a Product Portfolio
What is selling? What is not selling?

• Based on current consumer buying patterns, what will they buy next?
• How will this product be received by consumers?
• What characteristics do consumers find important?

• Organizational sales performance

• Competitor performance
• Market analysis
• Consumer trends and preferences

Businesses of today operate in real time. To maintain a competitive edge, businesses must identify and respond quickly to opportunities and events.

To effectively do this businesses must have accurate and up-to-date data at their fingertips.

To support the new demands around data consumption, data velocity (pace in which data is captured, organized, and analyzed) must also accelerate.

• Strong integration capabilities
• Intelligent and efficient systems
• Embedded data quality management
• Strong transparency into the history of data and its transformation

Studies and projections show a clear case of how data and its usage will grow and evolve.

Analytic Competitor

Respond to industry disruptors

Optimize the way you serve your stakeholders and customers

Develop products and services to meet ever-evolving needs

Manage operations and mitigate risk

40%

66%

33%

30%

The journey to being data-driven

The journey to becoming a data-driven organization requires a pit stop at data enablement.

The Data Economy

Measure success to demonstrate tangible business value

• Tie the value of data management and its initiatives back to the business capabilities that are enabled.
• Leverage the KPIs of those business capabilities to demonstrate tangible and measurable value. Use terms and language that will resonate with senior leadership.

Don’t let measurement be an afterthought:

Start substantiating early on how you are going to measure success as your data management program evolves.