DATA VALUE DIAGNOSTIC
Holistic insights into
your data ecosystem's maturity, risk & potential
Data is an asset like no other. It never depletes. Never wears out. And can be used across an unlimited number of use cases.
Yet, despite companies curating larger and larger datasets, few are realising the potential latent in their systems to drive performance and generate revenue.
DATA VALUE DIAGNOSTIC
EVERY COMPANY IS A DATA COMPANY
Intuitively, we all know that data is valuable.
After all, our inboxes and news feeds are cluttered with headlines such as: ‘data is the new oil’. Plus, businesses demonstrating data-savvy behaviour have a ~200% greater market-to-book value than the market average, according to the International Data Corporation.
Yet, whilst most business models have been radically altered by digitalisation (accelerated by the COVID-19 pandemic), many companies lack the
in-house experience to truly unlock the value dormant in their data assets.
EVERY COMPANY IS A DATA COMPANY
Our data value diagnostic helps all companies - whether they are private equity owned or not.
However, this assessment evolved directly from requests that we received from private equity managers who may not have conducted a data due diligence prior to investment - yet wanted to actively pursue data-led value at a portfolio company.
Actually, in some instances, the same investors have asked us to conduct portfolio-wide diagnostics - so that they can better understand the synergies, plus economies of scale and learning that can be garnered by benchmarking and comparing multiple companies across a fund.
After all, data is an asset like no other.
THE ECONOMICS OF DATA
Data is inert. It doesn’t breathe. Or exert force.
Yet, data holds the potential of vast value — intellectual and commercial — when curated and shared. Also data can be used across an unlimited number of use cases at zero marginal cost, meaning data is an economic tool.
Which is why understanding the potential of your data is the vital first step in the monetisation process.
DATA VALUE DIAGNOSTIC
DILIGENCE-LIKE PROCESS TO RAPIDLY INTERROGATE DATA RISKS & OPPORTUNITIES
Drawing on our data due diligence expertise, the diagnostic process follows a seamless process from problem definition to recommendations and the way forward by answering a series of questions.
1. DEFINITION
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What is the investment thesis or business problem we are seeking to solve?
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What are the scope and special areas of investigation?
2. ASSESSMENT
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What is the data maturity, risks & opportunities?
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How do these impact the thesis/problem (red/amber/green)?
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What are the gaps from current to desired state?
3. RECOMMENDATIONS
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What is required to close the gap(s) from current to desired state?
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What is the roadmap?
4. VALUE POTENTIAL
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What are the potential outputs (use cases) and outcomes (ROI)
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What are the potential economies of scale and learning?
5. NEXT STEPS
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Does the company require a full or light data strategy & validate findings?
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When do we kick off delivery, PoC, MVP, etc.?
From inputs to outputs, the Data Value Diagnostic process typically takes ~3 weeks, with limited demands on executive time, and can be be delivered in-person, or remotely.
INPUTS
Pre-mobilisation
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Agree engagement & set up kick off
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Scope project & special items
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Contract: fees, access, teams, & timelines
ASSESSMENT
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Kick off call
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Define investment thesis/business problem
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Information request
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Company completes questions and data room uploads
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Product & data demos
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Deep-dive interviews
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2-3 30-min interviews with leaders & domain experts
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OUTPUTS
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Overall narrative & risks
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Playback & final amendments
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Read out
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Factual check with target/client
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~60 min presentations plus Q&A
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Next steps
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Steps to realisation, for example:
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Data strategy
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MVP, POC
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