Late last month, IAPA, the peak body for analytics professionals in Australia, revealed the country’s top analytics leaders as part of its IAPA Top 25 Analytics Leaders program. Today we profile the inaugural #1 ranked Analytics Leader, Chief Data Scientist Matt Kuperholz.
Kuperholz delivers analytics insights to the PwC organisation and PwC clients keen to improve business via analytics.
Originally an actuary and computer science graduate, Matt’s career has matured in line with the analytics profession. In the early days, his was considered a specialist technical skill unlikely to be a strategic part of management decision support. Over time data and analytics became seen as a competitive advantage for early adopters 0 to today’s view of analytics as an invaluable business tool0.
Through each of these eras, Kuperholz showed that evidence-based decisions powered by advanced analytics are more accurate, reliable and lower risk than the alternative. Kuperholz has been a passionate and long-time advocate of data as an asset, teaching and proving to senior management the business advantages from the analytics insights derived from data.
“The analytic insights I have delivered over my career have consistently supported decisions which deliver the “free lunch” or “win-win” scenario only possible when continually extracting value from the unique non-consumable asset which is data,” he said.
“Value includes happier customers and a more profitable business, safer and more engaged employees, more efficient and lower risk supply chains and operations.”
Previously recognised by the Knowledge Society and the Office of the Chief Scientist as one of the 100 on the cutting edge of innovation and science in Australia and contributing to Australia’s future economy including building the analytics talent pool.
“I am very proud to have been instrumental in developing the analytical skills and careers for 100’s of practitioners from their emergence from university to attaining senior ranks within my organisation and those of my clients,” said Kuperholz.
But he’s not one for analytics without purpose.
“Whilst research analytics projects, or “analytics for analytics sake”, may have some intellectual benefit, I have for decades had a preference for leading analytics endeavours that focus on specific and measurable business outcomes – which should and are typically be related to efficiency, such as cost or other scare resource efficiency, or optimisation of revenue and /or profit,” he said. .
As part of the senior team at PwC, Kuperholz is a strong advocate for analytics applied to “our own data, our client’s data and data about the market and society to enable and support the six strategic pillars underpinning PwC’s purpose to “build trust in society and solve important problems”. This has reduced key person risk, delivery risk and financial risk of performing projects whilst increasing auditability, quality, and repeatability.”
Tomorrow: Sandra Hogan, Group Head, Customer Analytics,Origin Energy