The Data Observatory was clearly a source of excitement and momentum for KPMG, but it was one of several factors that ALM believes will define KPMG's market position in workforce transformation consulting over the next few years:

Evidence-based workforce shaping. KPMG's new methodology replaces traditional workforce planning with a dynamic consulting process that stimulates the organizational imagination around new realities of work. According to Robert Bolton, Head of KPMG's Global People and Change Centre of Excellence, "Increasing numbers of clients from all sectors including retail, financial services, professional services and utilities are asking what should our workforce of the future look like in terms of its shape, size and composition, and what should we do about the impact of AI?" This is where the Data Observatory plays in the consulting process, helping clients visualize alternative workforce scenarios using the firm's 'future of organization caster' (foo.castr) modeling tool to map the ways in which technology is reshaping how work gets done. KPMG admits that workforce scenario modeling is a heavy lift due to the sheer volume of data required for visualization, however, the value proposition for workforce shaping can be realized on a smaller scale and with less investment, allowing clients to ease into this new discipline.
Holistic approach, bundled services. KPMG's approach to workforce shaping signals a new level of maturity in how the firm goes to market with integrated services. The firm leverages capabilities across the people and change practice, as well as from strategy, organization, operations, experience design, and data and analytics consulting to ensure clients a top-down, bottom-up, evidence-based, approach to workforce shaping. The answer to a client's challenge may rest on a specific solution, such as designing and implementing a learning system, however, the strategic context for arriving at the solution is always business-led and holistic from a consulting perspective.
Ecosystem innovation. The launch of KPMG's Data & Analytics strategic growth initiative (SGI) in early 2014 provided a direct plug into the big data and data analytics ecosystem in Europe and beyond. Since then, the firm's portfolio has grown to include investments and collaborations in more than 100 start-ups fueling the firm's Digital Innovation Network jointly developing proprietary, patent-protected IP in the form of algorithms, data, and logic that promote new ways of thinking about business and workforce challenges. That same year, KPMG established a strategic partnership with Imperial College London to create the KPMG Centre for Advanced Business Analytics with the aim of putting the UK at the forefront of data science. The partnership's first initiative was to build the Data Observatory, which Maz Hussain is now on point to build out in mini-versions worldwide in the form of KPMG Insights Centres. These centers are a growing network of digital visualization environments currently found in London, New York, Frankfurt, Hong Kong, Sydney, Melbourne, Paris, Milan, Tokyo, and with Spain, Switzerland, Saudi Arabia, Canada, and Mexico offices launching centers in the coming year.

In just over three years, KPMG has achieved a meaningful milestone with the integration of an asset-led growth plan into its consulting DNA. During the analyst event, the firm shared numerous client case examples that indicate a positive reception in the marketplace and growing demand for its approach to workforce management. In this regard, KPMG shares first-mover advantage with a very small set of providers in the workforce transformation consulting space. The firm's challenge will be to enhance its competitive lead by scaling services beyond a UK-centric hub, iterating the innovations of its Data Observatory for faster delivery, and developing a robust set of industry-specific, data-based assets to use with foo-castr.

KPMG: Data Observatory Crowns Future of Workforce Consulting Service Offering

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