Data-driven analytics have the potential to empower CPOs with greater understanding of their ecosystems, value chains, and internal operations. Big data can shine a light on places where there’s room to create efficiencies, contain costs, and mitigate risk.
In the June 2023 issue of Government Procurement, Steve Isaac notes that analytics can create significant benefits in areas like negotiation, vendor segmentation and yearly planning. He goes on to note, however, that “advanced analytics and data science haven’t exactly broken into the public procurement zeitgeist. It isn’t the subject of keynotes at the annual conferences and meetings … It isn’t a qualification line on most procurement job listings. For most agencies—even large ones—introducing advanced data science is not a priority.”
It’s not altogether shocking that, while the private sector is investing heavily in the potential benefits of data analytics and other digital procurement tools—with the global procurement software industry predicted to exhibit a CAGR of over 10% between now and 2032—public sector procurement lags behind. Isaac notes that it’s a “chicken and egg” issue with the case for a robust data science function hinging on the benefits of that investment being understood, which requires them to be felt, which can’t happen until investment, but… and so on.
However, there’s a case to be made that this delay in data science investment by public sector procurement agencies is one of the critical stumbling blocks also preventing public sector procurement from adopting artificial intelligence, machine learning, and other cutting-edge technology with the potential to solve a lot of the recurring public sector pain points.
Raimundo Martinez, Global Digital Solutions Manager of Procurement and Supply Chain at bp, noted in a recent interview with the MIT Technology Review that “everybody talks about AI, ML, and all these tools, but to be honest with you, I think your journey really starts a little bit earlier. I think when we go out and think about this advanced technology, which obviously, have their place, I think in the beginning, what you really need to focus on is your foundational [layer], and that is your data.” Martinez stresses the importance of building a strong data foundation that allows CPOs to take advantage of emerging technologies in their supply chains.
It’s not as though public procurement departments are short on data either. Isaac argues that, “if data is a precious resource, governments are gold mines.” Governments collect huge amounts of information all the time. The widespread adoption of digital ERP systems, eProcurement, supply chain management software and vendor performance sites is now doing a great job of mining that data.
As noted in a report by researchers from the Government Transparency Institute, a European think tank, “The digitalisation of national public procurement systems across the world has opened enormous opportunities to measure and analyse procurement data. The use of data analytics on public procurement data allows governments to strategically monitor procurement markets and trends, to improve the procurement and contracting process through data-driven policy making, and to assess the potential trade-offs of distinct procurement strategies or reforms.”
By Harry Menear
