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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Convert visits to sales to repeat purchases

The moment you start seeing more than a thousand unique visitors in just one day, we won’t be surprised if you’d be grinning ear to ear the entire week. But when weeks turn into months, you’ll then remember why you started off on this venture in the first place … and it wasn’t about just owning an immensely popular website.

People, like you, who’ve chosen to invest in eCommerce were most likely thinking along the lines of great ROI, revenues, and profits. Now that you have thousands of visitors, how would you like to have, say for a start, 1% of them buying the products on your site?

You know more about your own product prices; you do the math. But what might really interest you is that a slight change in that 1% conversion rate can already spell a big difference in your profits. Now imagine bringing that 1% up to at least 10%. That’s possible, but not if you simply rely on guesswork.

We rely on tests applicable to complex multi-variable systems, just like today’s typical eCommerce websites, in determining which combination of copy text, landing page images, form layouts, and background colours generate higher conversion rates.

Here’s how we’ll convert your visitors into buyers:

  • We’ll conduct A/B or even multivariate tests on your eCommerce website, thus eliminating guesswork in determining how to increase those conversion rates.
  • We’ll perform on-site and off-site web analytics to gain a deeper understanding of web usage to aid in our optimisation operations.
  • Through our expertise in copywriting, graphics and web designing, UI designing, and website QA, we can enhance and fine tune your site to give each visitor a uniquely engaging browsing experience.
  • We can also integrate CRM (Customer Relationship Management) systems so that you’ll have the technical advantage to turn one-time buyers into repeat customers.
ESOS What is the Truth?

When the UK administration introduced its ESOS Energy Savings Opportunity Scheme reactions from business people followed a familiar theme.

  • Do nothing it will go away
  • The next Westminster will drop this
  • Another stealth tax. I don’t have time for this
  • Give the problem to admin and tell them to fix it

ecovaro decided to share three facts with you. These are

(1) ESOS is not a government money spinner

(2) all major political parties support it, and

(3) it is a cost-effective way to put money back in your pocket while feeling better about what business pumps into the environment.

Four More ESOS Facts

1. You Cannot Give the Problem to Admin ? Energy is technical. The lead belongs with your operations staff because they understand how your systems work. Some things are best outsourced though. ecovaro is here to help.

2. ESOS is Not Going to Go Away ? A company inside the regulation net must submit its first report by 6 December 2015. Non-compliance risks the following penalties:

  • ?5,000 for not maintaining adequate records
  • ?50,000 for not completing the assessment
  • ?50,000 for making a false or misleading statement

3. The Employee Count is the Annual Average – The employment criteria (unlike balance sheet and turnover) is the monthly average of full and part-time employees taken across the full financial year. The fact you have <250 employees in December 2015 when the first report is due does not necessarily let you off the hook.

4. The 6 December 2014 Report is No Big Deal ? When you think about it the administration is hardly likely to spend years wading through 9,000 detailed company energy plans. It has no authority to comment in any case. All that is required is for a senior director to confirm reading the document, and a lead assessor to agree it complies with the law.

Does this mean that ESOS is a damp squib? We do not think so, although some firms may take the low road. ecovaro believes the financial benefits will carry the process forward, and that the imperative to make the world a better place will do the rest.

Failure Mode and Effects Analysis

 

Any business in the manufacturing industry would know that anything can happen in the development stages of the product. And while you can certainly learn from each of these failures and improve the process the next time around, doing so would entail a lot of time and money.
A widely-used procedure in operations management utilised to identify and analyse potential reliability problems while still in the early stages of production is the Failure Mode and Effects Analysis (FMEA).

FMEAs help us focus on and understand the impact of possible process or product risks.

The FMEA method for quality is based largely on the traditional practice of achieving product reliability through comprehensive testing and using techniques such as probabilistic reliability modelling. To give us a better understanding of the process, let’s break it down to its two basic components ? the failure mode and the effects analysis.

Failure mode is defined as the means by which something may fail. It essentially answers the question “What could go wrong?” Failure modes are the potential flaws in a process or product that could have an impact on the end user – the customer.

Effects analysis, on the other hand, is the process by which the consequences of these failures are studied.

With the two aspects taken together, the FMEA can help:

  • Discover the possible risks that can come with a product or process;
  • Plan out courses of action to counter these risks, particularly, those with the highest potential impact; and
  • Monitor the action plan results, with emphasis on how risk was reduced.

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