The Connection Between Six Sigma and CRM

Six Sigma is an industrial business strategy directed at improving the quality of process outputs by eliminating errors and system variables. The end objective is to achieve a state where 99.99966% of events are likely to be defect free. This would yield a statistical rating of Sigma 6 hence the name.

The process itself is thankfully more user-friendly. It presents a model for evaluating and improving customer relationships based on data provided by an automated customer relations management (CRM) system. However in the nature of human interaction we doubt the 99.99966% is practically achievable.

Six Sigma Fundamentals

The basic tenets of the business doctrine and the features that set off are generally accepted to be the following:

  1. Continuous improvement is essential for success
  1. Business processes can be measured and improved
  1. Top down commitment is fundamental to sustained improvement
  1. Claims of progress must be quantifiable and yield financial benefits
  1. Management must lead with enthusiasm and passion
  1. Verifiable data is a non-negotiable (no guessing)

Steps Towards the Goal

The five basic steps in Six Sigma are define the system, measure key aspects, analyse the relevant data, improve the method, and control the process to sustain improvements. There are a number of variations to this DMAIC model, however it serves the purpose of this article. To create a bridge across to customer relationships management let us assume our CRM data has thrown out a report that average service times in our fast food chicken outlets are as follows.

<2 Minutes 3 to 8 Minutes 9 to 10 Minutes >10 Minutes
45% 30% 20% 5%
Table: Servicing Tickets in Chippy?s Chicken Caf?s

Using DMAIC to unravel the reasons behind this might proceed as follows

  • Define the system in order to understand the process. How are customers prioritised up front, and does the back of store follow suit?
  • Break the system up into manageable process chunks. How long should each take on average? Where are bottlenecks most likely to occur?
  • Analyse the ticket servicing data by store, by time of day, by time of week and by season. Does the type of food ordered have a bearing?
  • Examine all these variables carefully. Should there for example be separate queues for fast and slower orders, are there some recipes needing rejigging
  • Set a goal of 90% of tickets serviced within 8 minutes. Monitor progress carefully. Relate this to individual store profitability. Provide recognition.

Conclusion

A symbiotic relation between CRM and a process improvement system can provide a powerful vehicle for evidencing customer care and providing feedback through measurable results. Denizon has contributed to many strategically important systems.?

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Saving Energy Step 3 ? Towards a Variable Energy Bill

Do you remember the days when energy was so cheap we paid the bill almost without thinking about it? Things have changed and we have the additional duty of reducing consumption to help save the planet. This is the third article in our mini-series on saving energy. It follows on from the first that explored implementing a management system, and the second listing practical things to implement on the shop floor. These open up the possibility of the variable energy bill we expand on as follows.

If ?variable energy bill? sounds strange to you, I used the unusual turn of phrase to encourage you to view things in a different light. We need to move on from the ?pie chart? mentality where we focus on the biggest numbers like materials, facilities and labour, and zoom in on energy where we can achieve similar gains faster with less pain. But first, we need to see beyond the jargon that governments and consultants love, and get to grips with the reality that we can vary our energy bill and bring cost down.

As executives we recognise this, although other pressures distract us from accepting it as a personal goal. And so we delegate it down the organisation to a level where it becomes ?another crazy management idea? we have to follow to stay out of trouble. I read somewhere that half the world?s organisations do not have energy as a defined objective to monitor in the C Suite. No wonder commerce is only pecking away at energy wastage at a rate of 1% per year.

Find out where you are ?spending energy? and relate this to your core business. If there are places where you are unable to make a connection, challenge the activity?s right to exist. Following the energy trail produces unexpected benefits because it permeates everything we do.

  • Improved product design reducing time spent in factory
  • Streamlined production schedules reducing machine run times
  • Less wear on equipment reducing costly maintenance
  • A more motivated workforce that is prouder of ?what we do?

As you achieve energy savings you can pass these on in terms of lower prices and greater market share. All this and more is possible when you focus on the variables behind your energy bill. Run the numbers. It deserves more attention than it often gets.

The Better Way of Applying Benford’s Law for Fraud Detection

Applying Benford’s Law on large collections of data is an effective way of detecting fraud. In this article, we?ll introduce you to Benford’s Law, talk about how auditors are employing it in fraud detection, and introduce you to a more effective way of integrating it into an IT solution.

Benford’s Law in a nutshell

Benford’s Law states that certain data sets – including certain accounting numbers – exhibit a non-uniform distribution of first digits. Simply put, if you gather all the first digits (e.g. 8 is the first digit of ?814 and 1 is the first digit of ?1768) of all the numbers that make up one of these data sets, the smallest digits will appear more frequently than the larger ones.

That is, according to Benford’s Law,

1 should comprise roughly 30.1% of all first digits;
2 should be 17.6%;
3 should be 12.5%;
4 should be 9.7%, and so on.

Notice that the 1s (ones) occur far more frequently than the rest. Those who are not familiar with Benford’s Law tend to assume that all digits should be distributed uniformly. So when fraudulent individuals tinker with accounting data, they may end up putting in more 9s or 8s than there actually should be.

Once an accounting data set is found to show a large deviation from this distribution, then auditors move in to make a closer inspection.

Benford’s Law spreadsheets and templates

Because Benford’s Law has been proven to be effective in discovering unnaturally-behaving data sets (such as those manipulated by fraudsters), many auditors have created simple software solutions that apply this law. Most of these solutions, owing to the fact that a large majority of accounting departments use spreadsheets, come in the form of spreadsheet templates.

You can easily find free downloadable spreadsheet templates that apply Benford’s Law as well as simple How-To articles that can help you to implement the law on your own existing spreadsheets. Just Google “Benford’s law template” or “Benford’s law spreadsheet”.

I suggest you try out some of them yourself to get a feel on how they work.

The problem with Benford’s Law when used on spreadsheets

There’s actually another reason why I wanted you to try those spreadsheet templates and How-To’s yourself. I wanted you to see how susceptible these solutions are to trivial errors. Whenever you work on these spreadsheet templates – or your own spreadsheets for that matter – when implementing Benford’s Law, you can commit mistakes when copy-pasting values, specifying ranges, entering formulas, and so on.

Furthermore, some of the data might be located in different spreadsheets, which can likewise by found in different departments and have to be emailed for consolidation. The departments who own this data will have to extract the needed data from their own spreadsheets, transfer them to another spreadsheet, and send them to the person in-charge of consolidation.

These activities can introduce errors as well. That’s why we think that, while Benford’s Law can be an effective tool for detecting fraud, spreadsheet-based working environments can taint the entire fraud detection process.

There?s actually a better IT solution where you can use Benford’s Law.

Why a server-based solution works better

In order to apply Benford’s Law more effectively, you need to use it in an environment that implements better controls than what spreadsheets can offer. What we propose is a server-based system.

In a server-based system, your data is placed in a secure database. People who want to input data or access existing data will have to go through access controls such as login procedures. These systems also have features that log access history so that you can trace who accessed which and when.

If Benford’s Law is integrated into such a system, there would be no need for any error-prone copy-pasting activities because all the data is stored in one place. Thus, fraud detection initiatives can be much faster and more reliable.

You can get more information on this site regarding the disadvantages of spreadsheets. We can also tell you more about the advantages of server application solutions.

UK Hauliers Pull Together on ESOS

ESOS is what UK business needed, to encourage it to become more responsible for the environmental consequences of making money. Government has met with industry leaders to hammer out the finer details. Now there are heartening signs of intra-industry collaboration, for the example the FTA approach we discuss here.

The Freight Transport Association (FTA) is one of the UK?s biggest trade associations, and exists to represent the interests of companies moving goods by air, rail, sea and road. It is their representative at national, European and local level that advises them on legal compliance. In February 2015, it announced plans to help the industry comply with ESOS too.

The association has been active since the announcement of the UK?s Energy Saving Opportunity Scheme. It has engaged with government and membership through the portal of its Logistics Carbon Reduction Scheme (LCRS). The Environment Agency has singled this out as a benchmark other industries could follow.

FTA general manager for consultancy and tendering Karen Packham recently said, ?With our highly experienced and fully qualified team of transport auditors ?the FTA is best placed to offer practical advice and is able to provide specialist audits to ensure members are fully compliant ? and will gain all the benefits that the scheme has to offer.?

These co-audits with Environment Agency specialists advising, will focus on the full range of operational and supporting activities, and ensure that all haulage companies with over 250 employees do the following:

  • Assess energy use across their full spread of buildings, transport media and industrial activity
  • Examine energy-intensive pressure points and identify savings opportunities that provide financial benefit
  • Nominate an ESOS person to conduct future audits, or oversee and approve them independently
  • Report to the Environment Agency as scheme administrator per statutory intervals

Ecovaro has energy management software that turns metrics into high-level information that busy people understand. Give us a call if you are puzzling how best to present your data. We believe two heads can achieve so much more together.

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