Unlocking The Full Potential of Enterprise Data
Figure
2-1 : Value of data , tangible vs intangible , present vs . future . ( Source : IGnPower )
Quadrant [ A ]: This is data , whether raw or processed , that has been captured , cleansed , and packaged for resale and monetization within the organization ’ s ecosystem . The value of this data is tangible and usually quantifiable . For example , in some smart cities , some of the data collected from sensors is processed , packaged and sold to businesses 14 , such as retail stores seeking insights about foot traffic patterns . Entities involved in the sales of data have well established frameworks , methodologies and best practices for quantifying this value .
Quadrant [ B ]: This data , whether raw or processed , may not be intended for resale but it may contribute significantly to the organization ’ s overall strength and standing . This value is intangible and difficult to quantify as it may be a mix of the following :
• Shaping and refining the corporate vision and optimizing its execution strategy ,
• Improving brand image ,
• Enriching corporate intellectual property ,
• Enhancing competitive positioning ,
• Strengthening legal defensibility ,
• Boosting operational efficiency ,
• Improving product design and recyclability .
Quadrants [ C ] and [ D ] are analogous to quadrants [ A ] and [ B ], but they represent values that may become accessible in the future with the deployment of advanced analytics and AI tools ( which may not exist yet ). For instance , AI is increasingly proficient at analyzing X-ray images to detect
14 https :// bloombergcities . jhu . edu / news / 5-data-practices-demonstrate-whats-next-cities-everywhere 38
February 2025