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:

Continuous improvement is essential for success

Business processes can be measured and improved

Top down commitment is fundamental to sustained improvement

Claims of progress must be quantifiable and yield financial benefits

Management must lead with enthusiasm and passion

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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A Small External Enterprise Development Team is Cheaper than Your Own

Time is money in the application development business. We have to get to market sooner so someone else does not gazump us, and pip us at the post. We increase the likelihood of this with every delay. Moreover, the longer your in-house team takes to get you through the swamp, the higher the project cost to you.

Of course, in theory this should not be the case. Why bring in a team from outside, and pay more to support their corporate structure? Even going for a contract micro team ought not to make financial sense, because we have to fund their mark-up and their profit taking. Our common sense tells us that this is crazy. But, hold that thought for a minute. What would you say if a small external enterprise development team was actually cheaper? To achieve that, they would have to work faster too.

The costs of an Enterprise Internal Development Team

Even if you were able to keep your own team fully occupied ? which is unlikely in the long term ? having your own digital talent pool works out expensive when you factor in the total cost. Your difficulties begin with the hiring process, especially if you do not fully understand the project topic, and have to subcontract the hiring task.

If you decide to attempt this yourself, your learning curve could push out the project completion date. Whichever way you decide to go, you are up for paying advertising, orientation training, technical upskilling, travel expenses, and salaries all of which are going to rob your time. Moreover, a wrong recruitment decision would cost three times the new employee?s annual salary, and there is no sign of that changing.

But that is not all, not all by far. If want your in-house team to keep their work files in the office, then you are going to have to buy them laptops, plus extra screens so they can keep track of what they are doing. Those laptops are going to need desks, and those employees, chairs to sit in. Plus, you are going to need expensive workspace with good security for your team?s base.

If we really wanted to lay it on, we would add software / cloud costs, telephony, internet access, and ongoing technical training to the growing pile. We did a quick scan on PayScale. The median salary of a computer programmer in Ireland is ?38,000 per year and that is just the beginning. If you need a program manager for your computer software, their salary will be almost double that at ?65,000 annually.

Advantages of R&D outsourcing

The case for a small externally sourced enterprise development team revolves around the opportunity cost ? or loss to put in bluntly ? of hiring your own specialist staff for projects. If you own a smaller business with up to 100 people, you are going to have to find work for idle digital fingers, after you roll out your in-house enterprise project. If you do not, you head down the road towards owning a dysfunctional team lacking a core, shared objective to drive them forward.

Compared to this potential extravagance, hiring a small external enterprise development team on an as-needed basis makes far more sense. Using a good service provider as a ?convenience store? drives enterprise development costs down through the floor, relative to having your own permanent team. Moreover, the major savings that arise are in your hands and free to deploy as opportunities arise. A successful business is quick and nimble, with cash flow on tap for R & D.

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.

2015 – What’s ahead for UK Business?

According to reports just in, the global environment industry is down. Less money is available for what some CEO?s still see as grudge expenditure, and many U.S. agencies are seeking soft budget cuts. The UK is proving to be an exception following the announcement of ESOS, and EcoVaro does not expect the May elections will have much impact in this regard.

ESOS calls for mandatory energy assessments in companies above a certain size, and requires specific proposals to cut consumption. There is no indication of compulsory follow-through, although it is clear the Environment Agency hopes rising electricity prices and the prospect of monetary savings will do the trick.

It is an open question whether the Tory government would have interfered with commerce to this extent, were it not for the European directive that enforced it. The overall goal is to cut EU energy consumption across the board by 20% by 2020. Energy consultants are rubbing their hands in glee. EcoVaro?s response is to provide cloud-based software.

We will be interested to see how many UK companies make the first deadline of 5 December 2015, in the light of reports that half the 9,000 firms affected appear not to even know that ESOS exists. Some will no doubt pay last-minute lip service. Those with an eye on their own sustainability will grasp the Energy Saving Opportunity Scheme with both hands.

The initial ESOS deadline was always going to be a challenge. Some big corporates have stolen a march albeit egged on by green stakeholders. The next challenge comes in June 2015 with the implementation of the European Union?s ?Waste Catalogue? of hazardous substances, and rules for their disposal. We hope a new ISO 14001 will arrive soon and pull the loose threads together.

The introduction of carbon trading late this year brings further opportunities to increase profits through wise stewardship. Auditable metrics are essential for this.

EcoVaro can assist by processing your raw data. We provide this service on a virtual cloud. In return, you can get advice on optimising the quality of your graphs for presentations.