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Problem Deep-Dive:
Money down the drain

There's a bottleneck at the heart of modern commerce


Data is not the new oil. It is the new water–a necessity–the fuel of modern business operations. And there is too much–another tsunami every day. Data management is hugely painful for every data-driven business. The tsunamis arrive because there is an intractable data-handling bottleneck. Three interlocking problems hint at the presence of the bottleneck. There is a need for:

  1. Rapid Valuation and Conversion of Data Assets to Current Assets;

  2. Rapid Accurate Costing to calculate Profitability; and

  3. Rapid Continuous Improvement of Data Quality.

All three need Data to have current cash value. It doesn’t. The bottleneck is that Data is an Intangible Asset. It is not easy to monetize. This makes Data hard to value, cost and manage. Costing is a "black hole" and Profit & Loss calculations is a guess.


A. Unearthing hidden money

ORBintel© Data Value Insight Engine


We've solved the 'data monetization problem.' This lets us remove all three problems at once. We rapidly convert Data to Current Assets and manage these assets as Inventory. We calculate their Dataset Book Value during the prep process. The value gets recorded on the books. The formerly hidden value of the assets becomes available for daily use.


B. Internal "Digital Asset Value" Monetization

Our easy-to-use B2B SaaS solution is not used to clean and organize data. Instead, team leaders use it to obtain immediately actionable internal decision-making intelligence.

Internal teams use our solution to rapidly calculate current asset valuations; whilst concurrently delivering quality improvement variables to dataset preparation teams. Variables are made available to define, calculate, and apply business rules to determine the business value and worth of Data Operations, assets, products and services.

  1. ORBintel© rapidly converts Data from Intangible Assets to Current Assets.

  2. Current Assets are managed as Inventory.

  3. ORBintel© calculates 'Dataset Book Value'.

  4. The value is recorded on the books as internal Digital Cash Assets.

  5. The value can be used to construct statistical applications of business metrics to:

    • continuously improve internal operations decision-making (using analytical methods such as the "80/20 Rule (Pareto Analysis)" to improve productivity; and manage, triage and dispose of underperforming assets);

    • improve customer-facing decisions (accurate, faster data creates opportunity to develop faster, better insights).

    • deliver evidence of operating efficiency to lenders, insurers, investors and customers.

    • deliver services to tangible and intangible asset markets

    • help data teams experience liberty instead of burn-out

Note: Private companies are able to use and record the value of methods such as ORBintel© by citing the method as a footnote to financial statements.

C. Method supports traditional methods

This new direct method supports the traditional methods to calculate  expressions of value that are internal to a company. The traditional methods include:

  • Estimates of Value after Transaction (Income, Market,  Anmut method, Point-of-Sale, Alternative Data, Current Data Seller practice, Consumer Surplus, Intangible Asset Market Values)

  • Traditional calculations (Discounted Cash Flow, Book Value, etc.)

  • Estimates of Professional Best Guess Estimates (Replacement cost, Reasonable Commercial Basis, Energy Cost Approach, Energy Floating Point, Infonomics)

  • Shifting Data Flows (using data flow controls to smooth out flows, to reduce the risk of processed volumes being distorted by bottlenecks)

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