Tag Archives: data management

Data Is The Alpha And Omega Of The Future

Do you feel like your procurement team is in good shape when it comes to your existing e-procurement solutions? Sure you won’t get  “stuck” with an obsolete system? Eric Wilson talks on the importance of data. The event might be over, but you can still  register for The Big Ideas Summit Chicago to access footage  from the event. 

It’s not an exaggeration to say 90 per cent of today’s procurement technologies will be obsolete in the coming years. While much of today’s tech has some great functionality, when you put it up against the backdrop of a world where the big value is in the data more than the tactical functionality, it’s clear that they’ll simply be left behind!

Don’t believe me? Think this is “out there”? Let me elaborate…

Why can’t Alexa answer my questions?

Nowadays, many of us use Amazon’s intelligent personal assistant, Alexa, or similar AI applications. If you have, you’ll know that they’re not always adept at answering the questions we ask of them. Why? It’s simply because they don’t have enough data…yet!

Imagine machines that could:

  • Manage all your discrepancies for you
  • Detect fraudulent procurement
  • Code your non-PO invoices

This is the point at which technology gets a lot more exciting, and we’re not far from reaching these dizzying heights. The question procurement teams must ask is whether their organisation has the volume, quality and completeness of data to allow these machines to learn, provide accurate predictions and take accurate actions on the organisation’s behalf.  And to be sure of that, we need to look ahead…

The here and now won’t help you tomorrow!

I’ve spoken before on the downfall of Siebel as an example of what happens when organisations only live in the here and now, solving the problems of today without looking ahead to tomorrow.

In 2017, the situation hasn’t changed. But this time, it’s not just about Software-as-a-Service (SaaS). Procurement technologies, and technologies in general, have fully embraced SaaS and the big tech shift that’s coming next is data.

If the system you’re looking to install is not capable of actually capturing all your transactional data – and doing so in a centrally architected manner such that you can get more value from data beyond just the data that your organisation itself generates – then all those snazzy pieces of functionality, all that beautiful user interface, all those pretty little graphs aren’t worth a dime!

Not only will your existing business case completely fail.

Not only will you not receive the ROI you planned on today.

Tomorrow the system will be obsolete, and you might as well have selected Siebel!

When it comes to selecting SaaS procure-to-pay systems, business cases are built on the ability to:

  • Eliminate maverick spend
  • Identify opportunities for strategic sourcing
  • Consolidate the supply base
  • Automate approval processes
  • Automate matching
  • Eliminate paper
  • Take advantage of terms discounts.

Indeed, organisations build up very detailed business cases based on these factors. But the basic assumptions and prerequisites for those components of the business case to actually generate real ROI are based on three things:

  1. You get 100 per cent of your suppliers connected to the system
  2. You get 100 per cent of your end users actually using the system – all the time (not just some of the time)
  3. You run all your invoices through the system – 100 per cent of them – not just the indirect invoices, but also direct, facilities, vertical specific invoices, non-PO invoices, the whole gamut!

In procure to pay, if you don’t have those three things, not only does today’s business case fall apart, but more critically for this conversation, you can’t leverage the power of all that data in the future.

There’s no two ways about it: You can’t use artificial intelligence if you don’t have the centralised data for those machines to learn from. It is data that feeds AI and other emerging technologies – you need data more than anything else for success in the future.

And so, my key takeaway now and always is: when you are putting together your RFPs for systems, data better be first and foremost on your mind.

Want to see more from The Big Ideas Summit Chicago.  Register now  (It’s FREE!) to gain access to all of the day’s action including video interviews with our speakers and attendees. 

 

No More Guessing Games! Time To Use Innovative Data Leveraging

There’s no longer a need for guessing games when it comes to  driving value! Innovative data leveraging is possible in any environment and can help to lead organisations towards an analytics enabled procurement.  

Join BravoSolution’s webinar, Innovative Data Leveraging for Procurement Analysis, which takes place on 28th March.

Many purchasing executives are looking to drive procurement transformation but this is reliant on three major factors:

  1. Level of stakeholder engagement
  2. Ability to align with the overall business strategy
  3. Use of advanced tools and technologies

My research suggests there exists a noticeable gap between procurement executives’ explicit intentions of driving value for the business, and documented results in these three areas.

These gaps can be attributed to a lack of critical data and analytical insight that can support a truly meaningful conversation with the business about spend, supply base, and supplier performance.

Annual budgeting becomes a guessing game, with little input solicited or provided by procurement. It might be due to a lack of data. Or, it could be procurement’s inability to take the lead in order to anticipate and gather the data required. This disconnect is causing significant challenges for businesses.tech

BravoSolution is running a  webinar on the 28th of March, Innovative Data Leveraging for Procurement Analysis.  I will be  discussing a common process that every executive we met with cited as critical for engaging stakeholders and building analytical insight. We call it “innovative data leveraging” (IDL).

Innovative Data Leveraging (IDL)

Innovative data leveraging is a fact-based, data-driven approach to driving change and influencing stakeholders to create procurement value for the business.

The IDL process was described in different contexts, but the common thread was that cross-functional engagement was powered by stakeholder influence through analysis and presentation of data. Of course, leveraging analytics is difficult without some prior investment in procurement systems such as transactional spend analytics, contract management, and supplier performance measurement. However, our analysis also showed that innovative data leveraging is possible in any procurement environment.

The process starts with procurement executives conducting working sessions with business stakeholders to develop a deep understanding of their business strategy, the challenges they face in executing this strategy, and the role that procurement can play in helping to shape and support this strategy. Successful procurement leaders are the ones who can effectively articulate the questions that need to be answered and pursue the data requirements to provide analysis, insight and advice in order to address stakeholders’ business concerns.

Several additional insights emphasize the importance of innovative data leveraging.

  1. IDL was found to be important during any stage of procurement transformation maturity.
  1. The development of IDL capabilities depends on successful initial business engagements, especially when reliable procurement systems and data are lacking.
  1. Advanced analytics in the form of predictive capability is the most highly evolved form of IDL.

What are the benefits of IDL?

At the earliest stages, preliminary insights on spend may provide opportunities for deeper involvement in functional sourcing initiatives, creating a platform for further engagement and integration. In emerging stages, organisations can drive significant insights into total cost of ownership and working capital improvements that go above and beyond simple price leveraging capabilities. In advanced stages, predictive analytics (using both structured and unstructured data) that produce insights into revenue forecasts, supplier risks, emerging market opportunities, and other value drivers begin to emerge.

The innovative data leveraging approach can help organisations at all maturity levels to build a solid path towards an analytics-enabled procurement, in their pursuit of value and excellence. This does more than bridge the gap between procurement’s goals and the overall business strategy.

When you start by leveraging data analytics, no matter what stage your organisation is in, you can build a foundation for innovative capabilities for procurement excellence, like predictive analytics and cognitive computing.

You’ll  learn more about all of these issues in BravoSolution’s  upcoming webinar!

Sign up to join BravoSolution’s webinar, Innovative Data Leveraging for Procurement Analysis, on 28th March

Data, You’re The One That I Want – I’m Just Not Sure Why!

When it comes to managing data, we all know we need it. But it’s important to note that the quality of your output is entirely dependent on the quality of the planning. 

Register for  free webinar, Innovative Data Leveraging for Procurement Analysis, on the 28th March. 

In the information age, data is everything. With our ability to store swathes of that binary gold, and to pull it from scores of different sources, we have access to more information than ever before. What’s more, by using analytical tools, we can blend datasets and create rich insights that were previously impossible to do (or at least incredibly arduous!)

At the heart of this utopia is the premise that data is ‘great’; if we’re not measuring something, then we’re missing out.  After all, data tells the ‘truth’…right?

Well actually, that depends on what you mean by ‘truth’. After all, the ‘truth’ can be subjective and open to interpretation – and the same goes for data; the conclusions you draw ultimately depend upon what you’re looking at and how you’re looking at it.

Have a roadmap before embarking on your analysis

An important consideration when working with data is that the quality of your output is wholly dependent on the quality of the planning at the start – specifically the aims of any analytical outputs.

Having a clear roadmap for the aims of your analysis in the first instance is important in providing direction for the project, allowing you to ask the right questions and draw on the appropriate datasets. There’s a lot of information out there and it’s easy to find yourself in a sinking quagmire of sources that bear little relevance to your intended analysis.

Whilst scoping the aims of a data analysis project may seem daunting, there are three simple steps that you can follow to ensure you give yourself the best hope of arriving at a meaningful outcome:

  1. Decide on a purpose – what, in a general sense, is it that you’re trying to achieve with any analysis?
  2. Pitch to the right audience – Who is going to consume the information? It may be at many levels of seniority (from Analysts to Executives), and each will require and expect different things.
  3. Define the questions to be answered (and then the supplementary questions that arise from that) – these are not just the pure data questions but rather the business question – i.e. the reasons for conducting the analysis in the first place.

Leverage your data in innovative ways

With the above three areas documented and the information acquired, the next step is the exciting bit – making it work for you to answer your questions.

Again, there are three considerations to bear in mind for making the most your data:

  • Create quality visualisations – Choose your visualisations carefully and with the audience and questions to be answered in mind. Data visualisation, as with all visual communication, requires thought and discipline to present it in the most meaningful way (don’t just include a bubble or other fancy charts because it looks nice – it needs more justification than that).
  • Make sure the data has context – Bring in those external metrics that help you make sense of it all. Having worked with data for my entire career it’s fair to say I’ve seen good data, bad data and everything in between. When it’s bad (and anything short of ‘good’) you’re going to struggle to get any ‘truth’ from your analysis – remember, “garbage in, garbage out”. However, one of the trends that I’ve noticed more and more is that even with the good stuff people are quick to justify it – reaching for a readily accessible context; and that’s normally the context of their business or organisation. This is context, and context can take many forms. It could be measuring your procurement against a commodity index or allowing for the impact of currency fluctuations, or indeed measuring against many others.
  • Blend your procurement data for greater insight – Data is an incredibly valuable resource for any procurement team and its wider organisation. By pooling your internal data for spend, sourcing, contracts and projects (to name a few) and combining that with external metrics and benchmarks, you suddenly open up another level of insight into your data. Better yet, that insight can then be used to inform strategy across the organisation, increasing efficiency, improving savings and identifying opportunities for further innovation that yields yet more value for your organisation.

“If we have data, let’s look at data. If all we have are opinions, let’s go with mine.”

Jim Barksdale, former CEO of Netscape.

In the digital era, every procurement team has access to an invaluable source of strategic insight in the form of its data. By using technology to prod and probe that data, Procurement has the means to draw informed action plans that deliver innovation and value to the function and, more importantly the wider organisation. However, knowing the research questions to ask of your data and applying the right context to it is essential to realising this potential.

If you are interested in learning more about the kind of questions you need to be asking when looking to gain greater insight from your data, then please register for our free webinar, Innovative Data Leveraging for Procurement Analysis, on the 28th March. In it, distinguished US professor, Dr Robert Handfield will be taking a more in-depth look at pooling datasets to perform innovative procurement data analysis.