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Maverick Buying with Process Mining

Dec 1, 2020 / by Lassi Uusitalo    |    7 min read

The world of business revolves around a very simple idea – we provide products and services in exchange for monetary compensation from our current and future customers. In our pursuit to keep our customers happy and increase the revenue, we must make sure that we have all the right materials in the right quantities at the right time - every time - to ensure that our supply chain works frictionlessly. Typically, to ensure stability of the supply chain and decrease material costs, companies establish partnerships with reliable suppliers through contract agreements.

However, from time to time, situations arise where people cut corners and make purchases outside of the formal process - this is known as Maverick Buying. The Finance department may receive an invoice with no PO attached to it, which prompts the following questions: Where did this come from? Who are these people that sent us this invoice? Where do I begin looking into this?

My answer? Investigate the data in your ERP system to find answers to all your questions. In this blog, I will walk you through how you can use QPR ProcessAnalyzer and the Process Mining methodology to dive into the wealth of insights inside the readily available data in your ERP systems. With these insights, you will be able to catch purchases made outside of the formal process and to pick up on the quick wins regarding a systematic decrease of costs related to unauthorized purchases.

What is Maverick Buying?

Typically, there are three ways to define Maverick Buying in the Purchase-to-Pay process.

1) The purchase has been made through pre-approved suppliers, but outside the correct purchasing process.
2) The purchase has been made through the correct purchasing process, but from suppliers that do not have a delivery agreement with the company.
3) The worst: The purchase has been made from non-contract suppliers while circumventing the entire purchasing process.

Most typically, Maverick buying means that a PO item has been created AFTER goods have been ordered and billed by the supplier. When managing the cash flow of your Purchase-to-Pay processes, either locally or globally, Maverick buying will give you a headache.

Firstly, there is the potential extra cost and loss of quality from buying materials from the wrong suppliers. Another trouble is figuring out WHY there is all of a sudden an invoice that was never approved in the first place through a Purchase Order – investigating this costs both time and money to the company.

How to use Process Mining to identify and investigate Maverick Buying

Process Mining can be defined as a methodology for transforming raw ERP transactional data into powerful process insights, through automated calculations based on your event logs. The transactional data can be extracted from any data source, e.g. SAP or Oracle.

There are up to 6 steps you can take to gain insights into your as-is Purchase-to-Pay process and the Maverick Buying behaviour:

  1. Use Process Discovery to see your as-is process
  2. Understand the big picture
  3. Drill down to more detail
  4. Understand the root causes
  5. Investigate individual cases
  6. Simulate how much costs you can cut

 

1. Use Process Discovery to see your as-is process

ProcessDiscovery

 

With Process Discovery, you can start gaining an understanding on how your purchasing processes operate across different parts of the organization. Through the power of filtering, you can do further drill downs on any particular purchasing teams, vendors, contributors, long lead times, cases with changes, and anything else you would like to take a closer look at.

The automatically generated flowchart and the other charts are dynamically changing to reflect your selection - whatever that selection is. This can give you highly powerful insights to your processes and is easy to do with just few clicks.

2. Understand the big picture

Understandthebigpicture


You can use dynamic dashboards to gain a high level understanding on how common Maverick Buying is in your organization and how this behaviour has changed across time.

Understanding the high level trend in how frequent Maverick Buying is and how much capital has been invested into unauthorized purchases is a great starting point for further investigations.

3. Drill down to more detail

Drilldownfordetails


With a variety of possible visualizations, you can break down the information to more manageable chunks to see how many POs there are in different parts of the company, what is the value of purchases, at what rate Maverick Buying is happening and to identify the low hanging fruits for savings through process improvement.

You can do this assessment from any attribute angle in your data, eg. Company code, vendor, materials, purchasing organization and anything you can think of. You can create filter rules from all tables and charts to dynamically change all charts in the whole dashboard for further insights.

4. Understand the root causes

Understandtherootcauses


The root cause analysis is a powerful tool for ranking and identifying which Case Attribute Values (eg. PO: Type: PO – Shopping Cart) impact the Maverick Buying rate the most.

For example, we can see from the picture above that when a Purchase Order is associated with materials twezzers or flowers, roughly 1 out of 3 times the purchase has been done through Maverick Buying, which is clearly above the overall average Maverick Buying rate of 6%.

With this information, you can take a closer look at the problematic cases by applying couple of additional filter rules.

5. Investigate individual cases

Investigateindividualcases


With some filtering, you can gain insights on individual cases, which you might want to take a closer look at: for example by picking the Case ID, which you can check out in your source system for more information.

By the way, do you notice how we have now narrowed down roughly 34 thousand cases to mere 300 cases with just couple of clicks and filter rules?

Together, we have gone through a journey from massive amount of semi-messy data to the golden nuggets of insights that we are highly interested in. I do not know about you, but if I was the Purchase-to-Pay Director, I would certainly have a chat with the Purchaser associated with employee ID x6344 on the topic of why the person has ordered twezzers from Hahn-Stark several times in the total value of (at least) 270 000€ without producing a Purchase Order BEFORE receiving the invoice? From the process point of view this can be highly problematic and needs to be addressed with corrective actions.

6. Simulate how much costs you can cut

Simulatecostcuts


Finally, you can make rough estimations on how much savings you can make by making improvements in Maverick Buying, for example by cutting the Maverick Buying rate by 10%.

With this view it is possible to identify the low hanging fruits and where the highest ROI for a Maverick Buying improvement initiative is.

Bringing it all together

In summary, Process Mining is a methodology for transforming raw ERP transactional data into powerful process insights through automated calculations based on your event logs. Together, we have gone through the journey of discovering our as-is Purchase-to-Pay process, dissected data from high level information all the way to individual cases, gained insights on the root causes of Maverick Buying, and estimated how much savings can be made by making process improvements in the right places. 

MaverickBuying

This is just one example of the power of meaningful insights you can gain from your ERP event logs through Process Mining. QPR ProcessAnalyzer can be connected to any major ERP system and the Process Mining can be applied to any process! 

Any questions? Ask me below! :) 

 

Topics: Process Mining, QPR ProcessAnalyzer, Maverick Buying

Lassi Uusitalo
Written by Lassi Uusitalo

Business Development Specialist passionate about process excellence, process mining and story telling. Lassi is highly proficient in developing QPR ProcessAnalyzer dashboards for customer needs and is always looking for new ways to dive into and visualize data to find answers to the most complex business process challenges of the day.


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