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.?

Contact Us

  • (+353)(0)1-443-3807 – IRL
  • (+44)(0)20-7193-9751 – UK

Check our similar posts

How Ventura Bus Lines cleaned up its Act

Melbourne?s Ventura Bus Lines grew from a single bus in 1924 to a mega 308-vehicle fleet by the start of 2014. The family-owned provider has always been community centric; when climate-change became an issue it took quick and urgent action. As a result it now stands head and shoulders above many others. Let’s take a closer look at some of its decisions that made the difference.

The Important Things to Focus On

Ethanol Buses ? Ventura is the only Australian company that uses ethanol power produced from sugar cane for experimental public transport. It compares emissions within its fleet, and knows that these produce significantly less CO2 while also creating jobs for locals.

Electric Buses ? The company has been operating electric buses since 2009. These carry 42 seated among a total 68 passengers. The ride is smooth thanks to twin battery banks kept charged by braking and forward momentum. When required, a two-litre VW engine kicks in automatically.

Ongoing Driver Training ? Ventura provides regular retraining sessions emphasising safe, environmentally-friending operations. Drivers are able to see their fuel consumption and carbon emissions online and experiment with ways to improve these.

Bus U-Turns ? The capacity to measure throughput convinced the company to abandon the principle that buses don’t do U-Turns for safety?s sake. Road re-engineering made this possible in a busy downtown street. This reduced emissions equivalent to 4,000 cars and reduced vehicle downtime for servicing.

Increased Business – These initiatives allowed Ventura Bus Lines to improve its service as customers experience it. This led to an uptake in patronage and a corresponding downturn in the number of passenger car hours. The pleasure of travelling green no doubt contributed to this.

How Measuring Made the Difference

Ventura Bus Lines is big business. Its 308 buses operate out of 5 depots, cover 31% of the metropole, and transport close to 70,000 passengers on average daily which is no minor task. The ability to track, measure and analyse carbon emissions throughout the area has earned it compliance with National Greenhouse Energy Reporting Threshold 1 legislation.

It also uses the data to re-engineer bus routes to further reduce fuel consumption, energy consumption and operating costs. It’s amazing how measuring is affecting its bottom line, and the health of the Melbourne community at large.

Contact Us

  • (+353)(0)1-443-3807 – IRL
  • (+44)(0)20-7193-9751 – UK
Green Business!

Carbon emissions reduction has evolved beyond simply good citizenship to being a business tool. Implementing ?green? initiatives is now a competitive weapon which defines real business opportunities and bottom line savings that can contribute significant financial value to the organisation while meeting demanding customer requirements for sustainable and low-carbon products.

Energy efficiency is a low cost resource for achieving carbon emissions reduction. Better energy efficiency simply translates to lesser carbon emissions and less energy usage which translates into saved costs.

Reduction of an organisations carbon footprint is each and everyone?s responsibility. Human activities are the key responsibility for the release of greenhouse gas emissions into the atmosphere. These include usage of electricity generated from fossil fuel, heating or driving.

At the corporate level, various measures can be instigated to increase energy efficiency. Some of these can be, having zone lighting with sensors to minimise unnecessary office lighting, timers on large IT equipment, promoting energy efficient behaviour in the office, asking staff to switch off and unplug appliances when not in use and minimising staff travel.
At the individual level; it is the small habits that count; cultivating the habit of switching off unnecessary lights, plugging out appliances that are not in use, using video conferencing or online chatting instead of having to travel to meetings, using public transport instead of taking a taxi/ personal car and using energy efficient cars.

All these initiatives assist organisations in their corporate social responsibility reports and play a role in sustainability rankings which is instrumental to customers who are increasingly considering sustainability rankings in investment decisions, while achieving the goal of cost reduction internally.

Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.

Ready to work with Denizon?

Contact Us Today