Over the past few years, the procurement sector has been thrust into the limelight, as CPOs are increasingly being identified as drivers of value creation, cost containment, and risk management.
In addition to business and process innovations, a lot of the changes in the role of procurement are due to a wave of digital transformation sweeping the industry. If digital transformation is the engine driving this elevation of the procurement function, then data is the fuel powering it.
Effectively capturing, organising, and utilising data to generate meaningful insights can produce significant benefits for the procurement process. However, costly investment into data analytics, flawed adoption strategies, and oceans of bad data can turn all the potential for wins into a whole new source of risk for the business. This week, we’ve gathered our top 3 challenges CPOs face when incorporating big data into their operations.
1. Bad data
No, I don’t mean Lore from Star Trek: TNG. Bad Data is a fundamental and pervasive risk to procurement professionals looking to empower their analytics. It’s also a far more widespread problem than many executives would like to believe. Last year, a report by SpendHQ found that 75% of procurement professionals doubted the accuracy of their procurement data, leading to almost 80% of executives outside the procurement function lacking confidence when it comes to making decisions based on that data.
In order for it to make any meaningful contribution to reducing costs, mitigating risk, promoting sustainability and driving meaningful change within the business as a whole, the data used by procurement has to be accurate. Pierre Laprée, chief product officer of SpendHQ, noted in the report that “procurement teams must do more to build and maintain influence within their organisations, including removing the dependency on spreadsheets to become more efficient.”
2. Choosing the right technology
Collecting, managing, and drawing insights from your procurement data is a matter of using the right digital tools. However, choosing the right digital tools—especially with CPOs often facing pressure from stakeholders to transform their operations digitally—can be a complicated prospect with potentially severe negative consequences ranging from sub-par outcomes and wasted budgets to catastrophic data breaches.
A report by Productiv found recently that, while “procurement and IT are being inundated with software access, vendor intake and renewal requests,” the number of applications and subscription services being managed by the average business has risen by more than 30% in the past two years. Combined with growing workloads, skill shortages, and an unclear vision for handling these growing technology stacks, Productiv’s report notes that “this patchwork of tools across various steps of the vendor management lifecycle has created technology, team and data silos. Instead of increasing efficiency, these tech stacks start adding up to a lot of manual work to bring everything together.”
3. Creating spend data visibility
Dark purchasing refers to the phenomenon of procurement expenses incurred outside a business’ defined procurement process. It’s uncontrolled spending that procurement can’t see, but that still gets added to their numbers at the end of the quarter.
Big data and procurement is often thought of in terms of its ability to help understand the world outside the business’ walls—logistics, pricing, supplier behaviour throughout the market in response to market changes—but effectively deploying data analytics to understand why dark purchasing is happening, when, and by whom is a vital step in figuring out how to reduce its impact on the company.
Unfortunately, this presents a serious challenge, as many procurement departments lack a cohesive data organisational strategy; data is often scattered throughout multiple silos in the organisation, hidden from procurement in much the same way that unapproved purchasing hides until quarterly expense reports. Overcoming this challenge and creating a holistic, accurate view of company spend—both within the procurement function and outside it—is one of the greatest opportunities and challenges presented by the infusion of big data into procurement.
By Harry Menear
