How Federated Spend Analytics Software taps into
hard-to-reach sub-surface spend economies with its ‘all seeing eye’ and
fine-grained analysis
Federated Spend Analytics Software
is cloud-based business software that places a lens across back-office
administrative computer systems to expose areas of potential spend economy. In
this article I explore how the latest generation of cloud-based applications
platforms are facilitating fine-grained analysis of spending behaviors to
expose new opportunities for cost reduction and efficiencies in the procurement
function.
People not acquainted with
procurement so often see the discipline as a reactionary back-office function,
but anyone who’s dealt with high performing procurement teams knows that it’s
one of the few discipline areas tasked with looking ACROSS the silos of operation that tend to build up
in organizations; giving procurers the opportunity to invest time in seeking better
ways of working and find cost reductions through more thoughtful buying
approaches.
Although there is no single
journey to better ways of buying, procurement teams will quite sensibly start most
cost reduction initiatives by tackling the highest spend areas first. Next will come the poor performing or poorly controlled
areas spend. Then a third tranche of cost economies is gained through rationalization and compressing the
supply-chain (these are typically more complex ‘root and branch’ changes
that demand more transformation and change in the way the enterprise works and
so quite sensibly fall further down the transitional scale even though sometimes
the rewards can be something akin to a step-change).
As procurement teams venture
through this life-cycle, they change their own DNA and move from being
reactionary to proactive. Mature
procurement teams might well have delivered ALL of these initiatives and are
now on the march to find new sources of stakeholder value, cost reduction and
improvement (think of it as a mining company that initially searches out
mineral reserves on the surface to then move deeper and deeper through the strata
in search of new reserves). Contemplating
this next-stage sub-surface procurement initiative is where many procurement
leaders now find themselves – but they also know, to achieve the best results
whilst keeping their own operational costs down, they need better exploratory
tools for their teams.
But for what benefit? The obvious areas of cost economy in
sub-surface procurement initiatives comes from better understanding the ‘when,
where, hows and whys’ of procurement behavior to then benchmark approaches to ‘best
practice’ (sometimes happening in different industry sector) to then install
new behaviors. Unfortunately, the cost
of sub-surface procurement changes can rack up unless procurement professionals
gain the tools to more easily speculate on areas that look on the surface to be
efficient. Time-to-value in turning
potential weaknesses in procurement to rewards in terms of cost savings becomes
a key measure of success.
One hurdle that most procurement
teams encounter when transitioning from a ‘reactive’ to ‘proactive’ procurement
stance then is the need to source richer spend-analytics across all
disciplines. This is the role of spend
analytics. But where spend analytics
software tools generally fall down is not in their scope of use, or ability to
present insights, but in harvesting existing
data for analysis.
Few organizations truly operate
ONE computer system across their business.
Even companies that have committed to a core technology stack - such as SAP,
ORACLE, IBM or MICROSOFT - will often have multiple ‘systems’ of their chosen
platform to cater for disparate operating divisions, geographical variances,
group companies (etc). This means
SOMEHOW data needs to be harvested, mashed together and normalized, then presented in a data-mart that
allows it to be interrogated.
Like most systems that revolve
around ‘people being curious’, good Spend Management systems don’t simply regurgitate
data in the form of charts and dashboards, what they do is provide a platform for
users to ask new questions about what, where, when, how, why and whom in the
enterprise spends money.
Federated Spend Analytics
platforms are the newest breed of performance tooling for procurement
professionals operating in large and complex organizations. Federated platforms
should as a minimum provide the following capabilities:
- Harvest data from existing applications without requiring manual interventions
- Transform and normalize data to produce coherent data perspectives
- Form a unifying data-mart that auto-refreshes with the latest data from back-office systems
- Present user interfaces supporting interactive charts, maps, dashboards, side-by-side comparison tables and other visualization tools to distill key facts
- Support the ability for users to create their own KPIs, alerts, chart and map views
- Install RASCI role accountability to spend analysis process
- Provide an always-on (secure) platform accessible via browser-based devices
- Scale to meet enterprise needs
By implementing a Federated Spend Analysis platform, what
should procurement teams expect? While
each organization will benefit differently from adopting a federated system here’s
a quick run-down of some of the more common ROI outcomes:
Add
- Multi-threaded sourcing and multi-linking of data; Tooling to harvest data from multiple sources and augment automation of information flows to route data and place it into a data-mart
- Ready-to-use design elements; Tooling that provides self-service creation of situational applications and analytical dashboards, interactive charts, maps etc. without coding.
- The means to be curious; to ask ‘when, where, how and why’ questions without hugely increasing frictional costs associated with the enquiry process itself (such as time spent authoring reports, sourcing data, manual data entry and data crunching, time spent working spreadsheets etc.).
- The means to expose fine-grained economies; which, by minimizing enquiry and analytical costs, become economic to act on.
Grow
- Opportunities for sub-surface procurement economies by distilling fine-grained operational behaviors (made affordable by reducing enquiry/reporting/analytics unit costs).
Reduce
- Time-to-value; expose weak-points in procurement faster by having the ability to interrogate data rather than creating and running ad-hoc reports time and again in the hope that a sub-optimal behavior will be uncovered.
Remove
- Reporting and analytical overheads
- Software change/upgrade costs
- Technology complexity; save on the number of tools needed to harvest, analyze, report, share insights and related cost of authoring situational applications to ACT on learning lessons.
If you have implemented projects/tools to source sub-surface spend economies it would be great to hear about them. Otherwise, if you’ve yet to explore the potential for sub-surface spend projects I would be happy to talk over the subject with you.
I.

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