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Your Data Revalued.

Is "Data or Information" considered a Strategic or Competitive Asset in your organisation ?

Globally, Most organisations have no language or method to value or revalue their Data Assets or Data Capabilities. Until now.

This is an important aspect of a new hyper-competitive data-industry called "Infonomics".

We can help you.

Our strategic technology services and engagement disciplines bring clarity to your data-intensive Technology Transformation, Innovation and Initiatives.

Technology Advisory Services

Services we provide are Strategic Technology Advisory, Solution Design, Business Case, Partnering, Risk Mitigation and Delivery services.

We engage with corporates, governments, not-for-profits, investors and startups to help each organisation measure and unlock more value from their Data Assets.

Our Infonomics Workbench

We offer a unique range of forensic "infonomics" technology discovery tools, methods and algorithms to identify and unlock technology and data "re-valuation" opportunities.

Since 2012 we have developed a portfolio of Infonomics tools in a workbench called ClearDQ that can measure, visualize and guide the value uplilft of your Data Assets and Data Capabilities.

Engage us direcly
or via Partners

Our services may be globally procured directly, or alternatively we integrate our services within strategic partnerships to assist our partner network.

Our partners include, but are not limited to Law Firms, VCs, Software Companies, Data Speciality Firms, Accounting Firms and Consulting Firms.

Client Industry

Our primary customers operate in a range of classic industries including Banking (Retail, Capital Markets), Insurance, Healthcare, AgriBusiness, Mining, Airlines, Education, Energy+Utilities and Transport.

Our typicaly customers are challenged by digital disruptors and require advanced data capabilities.

The 2 Speed "Infonomics Economy"...

Infonomics is an exclusive data arms race only between those creating extraordinary data value. The rest of the market are not even remotely in the race.

Valuing Data Assets and Data Maturity Capabilities is wildly complex.

Ask any global expert. We ask a few tough questions and globally the intellectual atmosphere gets very thin. Some organisations believe it's not even possible to value data. That has been false for a long time.

Whether on the balance sheet, or not, Data Assets and their associated capability maturity can be quantified in commercial terms to drive investment decisions.

This is an incredibly complex arena and requires detailed input from Technology, Data, Finance, Intellectual Property, Licensing, Security and Regulatory experts.

We can teach you how it's done, and get you started.

Data on the Balance Sheet  ? 

Debates rage around the world regarding Data as an "intangible" asset class (IAS38, AASB138, HKAS38, etc), and potentially appearing on the balance sheet (overtly or covertly).

This is an emerging expert field. A whole new industry we have never seen before.

Data is regulary found on balance sheets, but in various jusridictions, data assets (for example using IAS38) can be "cloaked" or "hidden" from the average reader, using one of four(4) intangible asset sub-classes and terminology (like "Customer Relationships").

Accounting rules dictate that once intangibles are measured, then these assets must be re-audited and "re-measured" annually with any impairment annotated Asset (IAS36, AASB136, KHAS36, etc...) (we have developed robots to calcuate this).

This gives rise to one, single, globally accepted method, that is repeatable, transparent and consistent (that's what we believe we have created that we call a BASELINE DATA VALUE and keen to expose this to users, regulators and accounting standards bodies.)

Globally, data can move anywhere, and unfortunately Accounting Standards vary across jurisdictions. This sets us up for robust and difficult conversations with Auditors, Accountants and Lawyers, who generally lack data literacy. Conversly, technology leaders, including CIO's generally have no literacy on this exploding Infonomics topic, which represents a huge language and education opportunity.

Being brave, we forecast global "data asset value" wars, where organisations will choose to park their data assets in jurisdictions that offer the most favourable accounting standards to value-shift monetized data assets. Equally, in M&A's we expect to see corporate valuations change as credible Infonomic metrics are brought into negotiations.

In the meantime...

Economic measures and methods are key

Without commercial signals, data becomes a significant liability, hindering basic intiatives like data security, data innovation, data analytics and data monetization.

So what's more important ?

Landing data on the balance sheet ? (Can be useful in some circumstances, but we don't think so).


Understanding what your Data is "worth", and understanding what levers are available to you to increase it's commercial value ? (Bingo... That's what we think is most important, and we help our clients do precisely that).

Crossing the "Data Value" Divide...

Organizations today fall into 3 heavily polarized groups.

Those who a) have arrived, and measure and understand the commercial value of their Data Assets, and b) those who have not started and have no idea how or where to begin measuring the value of their data assets, and c) those who have begun learning, on their Data Valuation journey.

Which "Data Valuation" group are you in ?


NOT STARTED: We have no idea.

We say that our Data is a valuable asset, but we don't treat it accordingly. We have no idea how or where to start measuring our data's commercial value. We think we are destroying value, but we just don't know.

We need to ask CLEAR for education and advice on how to get started.


LEARNING: We get it, but we are exploring.

We recognize our Data as a valuable asset. Our organization is exploring how to treat (and measure) our data as a valuable asset and uplift value.

 We could ask CLEAR for education and advice to improve our accuracy and methods.


ARRIVED: We get it, and do it.

Our organization treats our Data as a valuable asset.

We know how to measure our Data's commercial value, and how to increase that value.

Awesome. Carry On !

Maybe have beer with CLEAR at some point.

Information Value Governance or Infonomic Governance.. 

Governing Information Assets to create value is a new and challenging frontier. 

We are actually speaking of governing data assets based on value creation or value destruction, rather than just risk or compliance.

Many Data Governance (DG) or Information Governance (IG) regimes appear useful or novel to support a classic data management narrative, but all too often, commercially fail at the first inspection.

Infonomics is not new, but it's a theme industrially missing from many classic frameworks, and sadly for many, it's now a mandatory concept to seriously compete and innovate with data.

Infonomics creates a spectaculary unlevel playing field when managing data assets.Since 2012, we continue to improve and publish a complimentary INFORMATION "VALUE" GOVERNANCE FRAMEWORK.

Most common Data & Information Governance Frameworks typically focus on what you DO to data, rather than what VALUE or INNOVATION can be created or extracted.

We can help you understand the data engineering dependencies in the these frameworks to help you identify, "What comes first ?" and "Why ?".

Unsustainable Data Governance (DG) ?

In our experience, most Data Governance efforts we encounter eventually fail (sometime catastrophically), if they have no economic basis to be sustained, particulary to fund missing or malfunctioning DATA FOUNDATION concepts.

Data Foundations underpin all work associated with data, which are essential precursors to Data Privacy, Data Security, Data Analytics, PCI DSS compliance and much more. 

Put simply, Data Value, Innovation and Risk cannot be managed if the basic principles of data are not adquately funded or supported.

This is precisely where many organisations fail, and can not credibly get on top of poor data quality, duplicated data sets, manual data handling via spreadhseets, and other value destuction themes.

These are only symptoms of a broken Information Management discipline, broken at the core.

If you have data, you perpetually need Data Foundations. Avoiding this reality is misguided and naive.

We can show you what Data Foundations look like, how they operate, how they contribute value, and most importanly how to perpetually fund them.

Broken or Missing Data Foundations ?

Globally, most organisations have no idea of which basic Data Foundations need to be in place, and how to instantiate and fund those elements, to support critical areas like Data Security, Data Analytics and Data Innovation.

If Data Foundations fail... then get ready for a condition called "Data Dystopia", where data is not secure, not trusted, not accessible, expensive, duplicated and inaccurate. Clearly not what you want.

We can help you arrest that and find the root cause.

How do you fund your Data or Information Governance (DG/IG) regime ?

Establishing an investment strategy and investment sequence is crucial to any successful Data or Information Governance regime.

For decades, we have uncovered predictable patterns of Data/Information Governance routes to failure or instability.

These avoidable DG/IG failures typically involve:

1. Lack of Commercial Relevance
2. Chronic Lack of Credible Commercial Metrics
3. Catastrophic failure of Data Foundations
4. Lack of Business Participation & Leadership
5. Conflicting agendas between IT and Business leaders
6. Failure to establish common Information/Data Language

We can confidently predict WHEN your Information Governance (DG/IG) regime will fail and why.

We can help you fund and succeed with data and associated governance regimes.

Our Information "Value" Governance Framework

"Show me the money !" - Tom Cruise in the movie Jerry Maguire


- 4 Major Information Value Themes (shown below)
- 11 Information Value Sub-Themes 
- 48 (and growing) Detailed Information Valuation Subjects  

1. Data

Manage all information and data assets and their location, performance, lifecycle, platforms, consumption and cost base.

Eg; Data Stewardship (Champions) Business Owners & IT Custodial Roles, Data Architecture, Master Data Management, Data Models, Metadata, Data Quality… 

2. Data Risk Management

Conform to regulatory and security compliance to defend and protect data assets from internal and external threats.

Eg; , AEMO, Regulatory Compliance, Privacy, PCI DSS, FATCA, Dodd Frank Section 7, Sarbox, Cybersecurity, Redaction, Privacy, Jurisdictional Data storage, Backups, Recovery, Archiving, Retention… 

3. Data

Adapt new information/data services to influence data literacy, data culture and new ways of data capture & data consumption.

Eg; Cost Reduction, Cloud shifting, API Gateways, Enterprise Search, Open Source, Codeless Data Access, web-scale design, embedded Analytics, Machine Learning, IOT... 

4. Data

Reliable access to fast, accurate data for staff, customers and processes to serve & compete - for fee or other commercial value.

Eg; User Reporting, Charting, Analytics, Data Mining, Customer Insight, Sales Insight, Product Performance, Staff Performance, Business Productivity, Selling Data (Monetization), APIs (for fee), Apps… 

Get your free copy.

This (current and future iterations of our) framework drives our Infonomics software, data-intensive solutions and data value creation conversations.

Email us today for a complimentary copy.

Data Manifesto

Learn how digital leaders will positively influence the intelligent management of humanity’s most enduring, reusable and valuable asset. It’s data.

Read the Data Manifesto and learn how digital leaders will positively influence the intelligent management of humanity’s most enduring, reusable and valuable asset. It’s data.

“Commercially, organizations cannot make money from an invisible, unmanaged asset class like “data or information”, that does not appear on the balance sheet. Period. The Data Manifesto will drive a global rethink in the C-suite that will revolutionize this asset class. “ – Martin Spratt April 2017

The Data Manifesto now our company’s primary industry and go-to-market manifesto.

We believe this will re-rate the future economic “thrivability” of all digitally enabled organizations, and intellectually supersedes iterations of data technologies, tools or platforms.

In doing, as a professional community of signatories we are each committed to helping all leaders gain understanding and mastery over their data assets.

Access the Data Manifesto at - by Thomas Redman, James Price, Danette McGilvray, John Ladley and Kelle O’Neal.

Data-Intensive Technology

It takes more than just data to deliver amazing technology. 

While "DATA" is our industry forte, designing and delivering amazing data-intensive technology solutions is our passion.

Over many decades, we have developed the ability to identify and unlock value at an accellerated pace using three (3) very simple, but powerful disciplines.

"Successful technology solution delivery predicated on three powerful disciplines."

ONE (1)

Strategic Value

Successful technology initiatives ensure from the outset, that strategic ideas and concepts are mapped to (commercial or other) value, and remain visible/traceable during all phases of project execution.

Information intensive industries that are being digitally disrupted may require an urgent rethink, challenge or review of your current technology strategy.

We have seen that great technology strategies may defy traditional models and patterns, and may appear counter-intuitive to unlock new value.

TWO (2)

Early Risk

Strategic technology intitatives, particularly new innovation, are always "risk heavy".

This is not uncommon nor unusual, however successful technology initiatives identify and mitigate risks early.

Our comprehensive Risk Management approach has demonstrated that technology risks are not restricted to just hardware or software, but include vendor-partners, skills, change management, culture, target market, project execution, legislation, regulatory compliance and many other considerations.

We often deploy rapid Working Prototypes or Proof-of-Concepts (POCs) to de-risk technology selection and inform a faster "value based" delivery roadmap, that accellerates "time to value".


Fast & Competent Execution Pace

Successful technology initiatives execute at a very high pace, learning fast, with expert teams which combine technology and business personnel working in active engagement, thru to delivery.

Deep talent and proven disciplines are at the core of successful technology innovation.

This drives our endless pursuit to identify and retain partners who globally lead their respective fields, and execute at our pace.

Let's Talk

Let's start a fresh conversation about your technology and data ambitions, anchored in the new langauage of intrangible value and Infonomics.

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Data Asset Revaluation Software Lab & Tech Support
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Data Asset Revaluation
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Tel: +1.470.226.3411

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