Mandate Data Valuation Before It’s Mandated
Organizations have data problems because they struggle to establish the real business value of their data. Understanding the value of your data is the first step towards solving your data problems.
- Data can be valuable if used properly or dangerous when mishandled.
- The organization needs to understand the value of their data before they can establish proper data management practice.
- Data is not considered a capital asset unless there is a financial transaction (e.g. buying or selling data assets).
- Data valuation is not easy, and it costs money to collect, store, and maintain data.
Our Advice
Critical Insight
- Data always outlives people, processes, and technology. They all come and go, while data remains.
- Oil is a limited resource, data is not. Contrary to oil, data is likely to grow over time.
- Data is likely to outlast all other current popular financial instruments including currency, assets, or commodities.
- Data is used internally and externally and can easily be replicated or combined.
- Data is beyond currency, assets, or commodities and needs to be a category of its own.
Impact and Result
- Every organization must calculate the value of their data. This will enable organizations to become truly data-driven.
- Too much time has been spent arguing different methods of valuation. An organization must settle on valuation that is acceptable to all its stakeholders.
- Align data governance and data management to data valuation. Often organizations struggle to justify data initiatives due to lack of visibility in data valuation.
- Establish appropriate roles and responsibilities and ensure alignment to a common set of goals as a foundation to get the most accurate future data valuation for your organization.
- Assess organization data assets and implementation roadmap that considers the necessary competencies and capabilities and their dependencies in moving towards the higher maturity of data assets.
Mandate Data Valuation Before It’s Mandated
Start here – read the Executive Brief
Read our concise Executive Brief to understand the value associated with the organization's data. Review Info-Tech’s methodology for assessing data value and justifying your data initiatives with a value proposition.
1. Demystify data valuation
Understand the benefits of data valuation.
2. Data value chain
Learn about the data value chain framework and preview the step-by-step guide to start collecting data sources.
3. Data value assessment
Mature your data valuation by putting in the valuation dimensions and metrics. Establish documented results that can be leveraged to demonstrate value in your data assets.
Member Testimonials
After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.
8.0/10
Overall Impact
$25,000
Average $ Saved
10
Average Days Saved
Client
Experience
Impact
$ Saved
Days Saved
Natural Resources Canada
Guided Implementation
8/10
$25,000
10
Onsite Workshop: Mandate Data Valuation Before It’s Mandated
Onsite workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn't enough, we offer low-cost onsite delivery of our project workshops. We take you through every phase of your project and ensure that you have a roadmap in place to complete your project successfully.
Module 1: Understand the Value of Data Valuation
The Purpose
Explain data valuation approach and value proposition.
Key Benefits Achieved
A clear understanding and case for data valuation.
Activities
Outputs
Review common business data sources and how the organization will benefit from data valuation assessment.
- Organization data valuation priorities
Understand Info-Tech’s data valuation framework.
Module 2: Capture Organization Data Value Chain
The Purpose
Capture data sources and data collection methods.
Key Benefits Achieved
A clear understanding of the data value chain.
Activities
Outputs
Assess data sources and data collection methods.
- Data Valuation Tool
Understand key insights and value proposition.
Capture data value chain.
Module 3: Data Valuation Framework
The Purpose
Leverage the data valuation framework.
Key Benefits Achieved
Capture key data valuation dimensions and align with data value chain.
Activities
Outputs
Introduce data valuation framework.
- Data Valuation Tool
Discuss key data valuation dimensions.
Align data value dimension to data value chain.
Module 4: Plan for Continuous Improvement
The Purpose
Improve organization’s data value.
Key Benefits Achieved
Continue to improve data value.
Activities
Outputs
Capture data valuation metrics.
- Data valuation metrics
Define data valuation for continuous monitoring.
Create a communication plan.
- Data Valuation Communication Plan
Define a plan for continuous improvements.
About Info-Tech
Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.
We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.
What Is a Blueprint?
A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.
Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.
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Our analyst calls are focused on helping our members use the research we produce, and our experts will guide you to successful project completion.
Book an Analyst Call on This Topic
You can start as early as tomorrow morning. Our analysts will explain the process during your first call.
Get Advice From a Subject Matter Expert
Each call will focus on explaining the material and helping you to plan your project, interpret and analyze the results of each project step, and set the direction for your next project step.
Contributors
- Raja Iqbal, Founder and CEO, Data Science Dojo
- Brian Wong, MBA,MMA,CPA, CMA, Management Consulting, Data & Analytics
- Ian Feng, FRM, Capital Market Innovator, Data Zenatic
- Slava Spirin,CFA, Data Scientist
- David Weber, Palm Beach State College
- Calvin Robinson, NASA
- Bruce Krogman, NASA