• Congratulations to the winners of the 2020 Financial Modelling Innovation Awards

    Meet the 2020 Finalists

  • Download the 2020 Financial Modelling Innovation Report

    Find out more about the winner, the finalists, and the shortlist of this year's leading financial modelling innovators.

  • This Year's Winner


    The judges saw the product as reaching a wide-ranging audience. The judges loved the hybrid mind-map and formulaic relationship and, being focused on both analytics and financial modelling as an innovation, ValQ ticked many of their boxes in how it approaches, simplifies and communicates financial modelling, but from a PowerBI perspective.


    With an impressive combination of clear visual presentation and powerful analysis ValQ has identified a gap in the financial modelling industry where it's clear a large investment by those involved has resulted in a very professionally presented product which has great potential for the financial modelling industry.

  • DashFlow's platform steps-up productivity, taking a job of days to minutes. The inspired automated stacking plan and touch controls break down the initial barriers of entry for new users in a very intuitive way. The visual approach to creating a Real Estate model’s complex income characteristics makes model building less stressful, more interesting and consequently quicker to do.

    Visyond has sought to move the spreadsheet experience to the cloud and make scenario modelling a genuinely collaborative experience and is the response to a gap in the market we’ve observed for the last 5 years: the cloud-based single-source-of-the-truth model with the advanced functionality of Excel.

    “Dynamic Scenario Manager powered by a Data Table” takes the popular and powerful Excel Data Table and removes the limitation of only having a maximum of two variables. The solution is easy to understand and it's evident that the solution was developed by a modeller working on the frontline and the example provided to the judges demonstrated the solution in a simple and elegant way.

    A fresh, enjoyable and engaging approach to financial modelling training. We liked the way it teaches real, useful, skills while at the same time being fun and different to the standard courses out there. We all recognise the importance of training, and the judges really liked this entry.

    The category winner, PerfectXL Compare, deploys an intuitive user interface to solve a problem wanting in comparison of versions of the same model. In addition, really nifty drag and drop function with clickable outputs led it to being voted the winner.

    ValQ offers a user-friendly experience to executive-level stakeholders and opens up financial modelling insights to an audience that might not have been reached in the past. The judges rated this tool highly across all judging criteria. It allows financial modellers to perform flexible, real-time what-if and sensitivity analysis within a familiar visualisation tool – innovative and well executed!

    Real innovation is not just about the technology but also approaching problems in a different way without the use of technology but rather innovative solutions and ideas. Newton’s method was exactly that. The Newton’s method approach allows you to solve model circularity and optimisation without using goalseek or copy-paste macros. Truly worthy of a special mention.

    As the judges pondered the entrants individually and collectively, it seems comparisons to one tool in particular were inevitable; it has an enormous fan base and global respect. The judges first came across David Colver and Simon Williams 17 years ago; a duration some in this profession would call a lifetime... and so it is with great honour we recognise them and their software OAK5 with this lifetime achievement award.

    The judges recognised Edward Bodmer‘s outstanding contribution to the financial modelling industry with a special commendation award. Through his website, Bodmer has provided free access to a wide range of modelling resources and tools, which have undoubtedly supported the further education of many financial modellers worldwide.

  • Judging Panel

    Natalie Bayfield

    Senior Departmental Fellow, University of Cambridge

    Inventor of 'Real Estate Financial Modelling' as a subject in its own right. Natalie has dedicated the last two decades to advancing the skill within the sector, via Bayfield Training and Cambridge University.

    Ian Bennett

    Partner, Deals Modelling, PwC Australia

    With over 18 years as a professional financial modeller, Ian leads PwC Australia's Deals Modelling team and is a globally recognised financial modelling expert. He has developed and reviewed the models that have supported major transactions around the world and has recently developed a technology agnostic approach to financial modelling and a range of analytical modelling review services.

    Danielle Stein Fairhurst

    Financial Modeller, Author, Corporate Trainer

    Danielle Stein Fairhurst is regularly engaged as a speaker, course facilitator, financial modelling consultant and analyst. She founded the Financial Modellers’ Meetup groups which now have over 5,000 members in seven countries as well as a LinkedIn forum with more than 40,000 members.

    Fiona Foster

    Investment Manager, Kiwi Group Holding

    Fiona Foster has provided financial modelling consulting and corporate finance advisory to clients in New Zealand, the USA and the UK. Most recently she spent 3 years in New York, helping to build out PwC's financial modelling and data analysis capabilities in the USA. She has developed and led financial modelling training with clients and internal teams and is a member of ModelOff's Diversity Council, aimed at improving diversity within the financial modeling industry.

    Iain Morrow

    Partner & CTO, Gridlines

    Iain started developing financial models in the mid-1990s. He has developed deep expertise in the energy sector and in economic regulation, in both private and public sectors.

    Iain has degrees in mathematics from Cambridge and the London School of Economics. He has published on machine learning, data analysis and modelling.

    Lance Rubin

    Founder & CEO, Model Citizn

    Lance is a highly innovative, commercially savvy and lateral thinking financial modeller. His ability to distill complex financial problems into meaningful insight led him to founding Model Citizn.

    He is an ex-Investment Banker and KPMG modeller, CFO of fintech lender Banjo and Group CFO for Sequel CFO and is touring the world on the Future of Financial Modelling.
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    30 November 2018
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    8.3 You also have rights with respect to automated decision-making and profiling as set out in section 11 below.
    8.4 You have the right to ask us not to process your personal data for marketing purposes. We will usually inform you (before collecting your data) if we intend to use your data for such purposes or if we intend to disclose your information to any third party for such purposes.
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    9.Links to other sites
    9.1 Please note that our terms and conditions and our policies will not apply to other websites that you get to via a link from our Website. We have no control over how your data is collected, stored or used by other websites and we advise you to check the privacy policies of any such websites before providing any data to them.
    10.1 If we change our Privacy Policy, we will post the changes on this page. If we decide to, we may also email you.
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    11.1 In the event that we use personal data for the purposes of automated decision-making and those decisions have a legal (or similarly significant effect) on you, you have the right to challenge to such decisions under GDPR, requesting human intervention, expressing their own point of view, and obtaining an explanation of the decision from us.
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    b) Appropriate mathematical or statistical procedures will be used;
    c) Technical and organisational measures necessary to minimise the risk of errors and to enable such errors to be easily corrected shall be implemented; and
    d) All personal data processed for profiling purposes shall be secured in order to prevent discriminatory effects arising out of profiling.
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    14.3 If the parties are unable to agree upon a mediator, or if the mediator agreed upon is unable or unwilling to act and an alternative mediator cannot be agreed, any party may within 14 days of the date of knowledge of either event apply to LawBite to appoint a mediator under the LawBite Mediation Procedure.
    14.4 Within 14 days of the appointment of the mediator (either by mutual agreement of the parties or by LawBite in accordance with their mediation procedure), the parties will meet with the mediator to agree the procedure to be adopted for the mediation, unless otherwise agreed between the parties and the mediator.
    14.5 All negotiations connected with the relevant dispute(s) will be conducted in confidence and without prejudice to the rights of the parties in any further proceedings.
    14.6 If the parties agree on a resolution of the dispute at mediation, the agreement shall be reduced to writing and, once signed by the duly authorised representatives of both parties, shall be final and binding on them.
    14.7 If the parties fail to resolve the dispute(s) within 60 days (or such longer term as may be agreed between the parties) of the mediator being appointed, or if either party withdraws from the mediation procedure, then either party may exercise any right to seek a remedy through arbitration by an arbitrator to be appointed by LawBite under the Rules of the LawBite Arbitration Scheme.
    14.8 Any dispute shall not affect the parties' ongoing obligations under this Privacy Policy.