- 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.
Establish an Analytics Operating Model
Create and Manage Enterprise Data Models
Build a Robust and Comprehensive Data Strategy
Mandate Data Valuation Before It’s Mandated
Position and Agree on ROI to Maximize the Impact of Data and Analytics
Establish the Target Operating Model Needed to Execute Your Data Strategy
Establish Data Governance
Build a Data Architecture Roadmap
Build a Data Integration Strategy
Build a Data Pipeline for Reporting and Analytics
Build Your Data Quality Program
Mitigate Machine Bias
Design Data-as-a-Service
Define the Components of Your AI Architecture
Get Started With Artificial Intelligence
Go the Extra Mile With Blockchain
Understand the Data and Analytics Landscape
Select Your Data Platform
Build Your Data Practice and Platform
Establish Data Governance – APAC Edition
Foster Data-Driven Culture With Data Literacy
Generative AI: Market Primer
Establish Effective Data Stewardship
Identify and Build the Data & Analytics Skills Your Organization Needs
Promote Data Literacy in Your Organization
Define a Data Practice Strategy to Power an Autonomous Enterprise
Data Culture Diagnostic
Fueling AI Greatness: The Critical Role of Data & AI Literacy
Building the Road to Governing Digital Intelligence
Map Your Data Journey
Launch a Customer-Centric Data-as-a-Product Journey