There are different methods for data valuation, depending on the purpose and context. Through the vast experience gained, Data Valuation Partners have developed proprietary valuation models which deliver robust, defensible valuations for a vast range of sectors and scenarios. Some commonly used methods are: - Market value: the data value is based on the market driven price that it can fetch, such as through data sales, licensing or exchange. It requires data to be standardised, comparable, and tradable, which is not always the case. - Income approach: the data value is based on the income or cash flow that it can generate, such as through cost savings, revenue enhancement or risk reduction. This method requires data to be linked to specific business outcomes and metrics, which can be challenging to measure and attribute. - Cost approach: the value of data based on the cost of creating, acquiring or maintaining it. This method requires data to be accounted for as an asset or expense, which can vary across different accounting standards and practices. - Hybrid approach: combines two or more of the above methods to account for the different aspects and dimensions of data value. This method requires data to be evaluated from multiple perspectives and scenarios, increasing the complexity and uncertainty of the valuation. The methods listed have their limitations and only one gives a defensible valuation like that provided by the unique methodologies used by Data Valuation Partners. Data valuation is not a simple or straightforward task. It requires a lot of data, domain, and business knowledge, analytical and critical thinking skills. If you want to understand the value held in your business, then please contact us.

• A CFO’s core focus is on risk management and value creation from available business assets. • Data is a new asset class that CFOs must consider day-to-day and when making strategic decisions. Data Asset Valuations enable CFOs to identify and isolate these data assets and better manage risk and value creation. • Once Valued, Data Assets deliver a range of additional strategic options to drive higher ROIs. • Funding: With an expanded asset value, CFOs can leverage their finance facilities further, funding growth and value creation. • Monetization: CFO’s with clarity on their data asset base can introduce new revenue streams from data monetization. • M&A: CFO’s are able to command higher exit valuations as they can demonstrate larger enterprise values. Examples of how a CFO can leverage their Data Assets. Data Asset Strategy Examples of value creation / risk mitigation Identification - Data Assets are fundamental to business success. Identifying and Isolating Data Assets enables better risk mitigation. - Data Assets are just as applicable for Corporate Leverage. (Examples below). - Data Assets can be acquired from a 3rd party. - Data Assets drive up the value of any business. Leverage Data for Funding - Data Assets can be used as collateral in a funding transaction. - Data Assets can be securitized. Leverage Data Assets for Monetization - Data Assets can deliver revenue streams via licencing out to a 3rd party. Leverage Data Assets in M&A - Data Assets enable the true value of a company to be leveraged on shareholder exit. - Acquiring businesses with Data Assets enables value creation in the acquirer. Leverage Data Assets for Customer Targeting / Offering - Data Assets deliver targeted customer marketing insights to grow service lines. - A Customer’s Data Assets can be used as collateral in lending. Ascribe a defensible value to your data assets and leverage your competitive data edge. Contact us today.

Data is the fuel that drives motorsport and business. Whether it is at the heights of Formula 1 or at the amateur level, data is essential for improving performance and gaining a competitive edge. An F1 car produces over five terra bytes of data in a race weekend.  How much data does your business hold and what is its value to the performance of your business?   Data is collected from various sources, such as sensors on the vehicles, cameras on the track, weather stations, and telemetry systems. Data is then analysed using advanced tools and techniques, to develop valuable insights and deliver a winning advantage.  Businesses produce huge amounts of data and @Data Valuation Partners we have developed our market leading techniques and bespoke data insights to help businesses optimize their strategies, fine-tune their “setups” and make informed decisions.   Data is also valuable for the fans and the media who are the customers of motorsport.  They can enjoy or produce a personalised, immersive and engaging experience of motorsport. Data Valuation Partners prides itself on being able to provide a group wide view of data to identify additional revenue, leverage the value of hidden data assets and a data risk assessment.   Data Valuation Partners we use our expertise and experience to identify areas to improve performance, new opportunities which are “personalised” for your business. This is in addition to providing a defensible valuation, data due diligence and several other data related strategies and benefits.  All this is to provide you with the evidence to make informed strategic decisions.   If you would like to know more about the value of the data in your business, then please contact us.   #data #venturecapital #motorsport

A simple question to ask at your next board meeting: “What is the financial value of our data sets to a 3rd party?” Leveraging the financial value of your data asset, on top of the usual multiples of revenue or EBITDA or balance sheet assets, enables boards to consider a wider range of strategic options to drive up shareholder returns. Once a data valuation programme has been completed, a fully informed board will have at their disposal an asset that can be used to enhance business (and portfolio) performance and value in multiple ways: - Leverage in an M&A transaction, on the buy side or sell side. The data asset should be considered as an asset in addition to the revenue and EBITDA Multiples. Why? Generation of additional revenue streams. The data that a company stores can be used to generate new revenue streams, as the data you collect will be valuable to someone. Leverage as collateral in a capital raise. - Traditional lending will put a charge over your balance sheet assets. “However, you are not yet able to put data on your balance sheet!” we hear you say. True, and yet people still buy and sell data in multiple industry sectors. This has been recognised by data-savvy lenders, who are coming to market with data-related products, recognising the full financial value of the data asset, whether on the balance sheet or not. Of course, there are a multiplex of dynamics that need to be considered in a data valuation, including Ownership, Economic Benefit and Accessibility .

There are challenges to producing a defensible data valuation. At Data Valuation Partners (DVP) we have developed, tested and implemented over twenty models to ensure there is rigor in providing a defensible data asset valuation. By using multiple models DVP provides mathematical precision in each and every financial valuation. Data valuations are influenced by numerous factors, market conditions, industry trends, customer behaviour and the regulatory environment. DVP view the valuation process as dynamic and iterative. DVP counsel clients to conduct a valuation rebalancing exercise prior to a strategic event such as an investment or M&A transaction. This is important because over time the data set flexes due to the addition of new data and the degradation of other data. The rules around data as an intangible asset dictate that data should be measured and calculated at a point in time. One of the key determinants of data value is data quality which is also a major challenge for many organizations. These challenges manifest themselves as incomplete, inconsistent, inaccurate or irrelevant data. All these significantly reduce the value of the data. Data security and privacy are critical concerns when conducting a valuation, with breaches, data leaks, data misuse or theft all being taken into account. DVP review data security and compliance measures are all audited during a valuation exercise. The valuation of data is not an easy exercise to execute and involves multiple challenges. To be effective it requires clear strategic vision to overcome the technical, operational, organisational, legal, ethical or cultural challenges and complexities. DVP’s experience has shown that businesses benefit most when they adopt a willingness to learn and adapt from the results of the valuation exercise.

Congratulations to our team at Data Valuation Partners (DVP). A great 2023 having valued over $8.1bn in data assets across multiple sectors and with a global footprint. DVP has experienced significant interest from businesses looking to use their data assets to support strategic decisions whether that be a transaction or investment raise. This can only indicate a strong performance in 2024. Whilst confidentiality is a key part of the service, DVP knows that following the completion of a data valuation conducted by DVP, businesses secured significant investment using their data assets as collateral. Further evidence of the growing interest in this sector is the level of engagement gained from investment funds and insurers. DVP are working with organisations who are raising significant funds to lend against data assets. The insurers are enthusiastic to provide the insurance wrapper for the debt. If you are a member of an executive team have you considered valuing your business's data and adding it to your balance sheet as an intangible note? We believe that only 3% of businesses have the value of their data recognised on their balance sheet. Knowing the value of your business’s data ensures you are recognising the full value of your business and not undervaluing it. Happy New Year to all our friends and customers!