Maturing Into CMMI

 

In all likelihood, the reason why you landed on this page was because you were seeking CMMI experts to help you meet the demands of a growing number of potential clients who require CMMI compliance.

Whether or not you’re here for that reason, you might want to know why CMMI or Capability Maturity Model Integration is steadily becoming a common denominator among highly successful software and engineering development companies. If you stay for a while, we can show you how CMMI can substantially increase your organisation’s chances of:

  • reducing development costs;
  • acquiring new customers and retaining old ones;
  • beating deadlines;
  • bringing down development time;
  • increasing the overall quality of your products and services; and
  • improving the level of satisfaction of customers, employees, and all other stakeholders.

Surely, no organisation can be too small or too big to aspire for such benefits of attaining high levels of maturity and capability.

If you want to look beyond Maturity Level ratings, then you’ve come to the right place. We focus on introducing CMMI principles and blending them into your organisation’s culture to achieve a truly superior and sustainable business advantage. Compliance will then be an inevitable offshoot of the actions you make.

Likewise, if you simply want to obtain a deeper understanding of CMMI and learn how it can be applied either to your entire organisation or to specific projects, we’d be happy to assist you in that regard as well.

Finally, when you’re ready, we can also conduct CMMI appraisals either for benchmarking purposes or simply for determining how well your process improvement initiatives are going.

CMMI Consulting

Are you worried that implementing CMMI might entail an overhaul of your current processes? Don’t be.

CMMI is all about improving current processes, not replacing them. Ideally, the final result of all process improvement activities should be hinged on your own business objectives and context, so we’ll make sure it remains that way when we work with you.

We rely on our extensive knowledge and experience in CMMI, engineering, software development, and technologies as well as in change and project management in providing model-based process improvement services. Whether you’re gearing up for an appraisal or simply want to employ CMMI-based practices, these are the things we can do for you.

  • Help you interpret how CMMI can be implemented in relation to your business.
  • Assist in convincing sponsors and stakeholders to support your CMMI implementation initiatives.
  • Introduce the necessary training to all individuals who need to undertake them.
  • Conduct a Gap Analysis to find out where your company’s current processes stand relative to their CMMI specifications.
  • Assemble a process group that will champion your process improvement initiatives. We’ll facilitate effective collaboration among its team members, transforming them into a cohesive force designed to carry out plans and motivate everyone else down the line.
  • Introduce tools and practices that will improve the efficiency of our process improvement initiatives.
  • Carry out periodic evaluations and produce reports to provide sponsors and stakeholders a clear picture of our progress.

CMMI Training

Still not convinced CMMI is right for you? There’s only one way to fully grasp the benefits of implementing CMMI – take the Introduction to CMMI course. Although what happens next is entirely up to you, we’re pretty sure you’ll make the right decision after passing it.

Do you need to include people from your organisation in a SCAMPI (Standard CMMI Appraisal Method for Process Improvement) team? They’ll have to undergo this course too. The Introduction to CMMI is for systems and software engineering managers and practitioners, appraisal team members, process group members, and basically anyone who want to grasp CMMI fundamentals.

This is what you’ll be able to do after going through 3 days of lectures and exercises:

  • Gain a deeper understanding of the various components of CMMI-DEV models and their relationships.
  • Discuss the process areas in CMMI-DEV models.
  • Extract and interpret aspects in the model relevant to your own organisation’s processes.

We also offer highly specialised training and workshops such as those for:

  • Achieving High Maturity Levels
  • Top Executives
  • Team Building in Preparation for Appraisals

CMMI Appraisal

An organisation new to CMMI will want to know first how far their current processes are relative to the implementation of model-based improvements in order to determine the resources and time that have to be spent to get there.

Similarly, an organisation already well acquainted with CMMI and has begun taking steps in improving processes, will eventually want to know how close it has come to the Maturity Level it has aimed for.

In both cases, these organisations will have to be assessed by a qualified CMMI appraiser to obtain an accurate picture of their current status. We can perform appraisals on either your entire organisation or on specific projects/practices within a process area. Our appraisers can conduct the following SCAMPI (Standard CMMI Appraisal Method for Process Improvement) appraisals:

  • SCAMPI Class A – This is what you’ll need if you’re aiming for a level rating.
  • SCAMPI Class B – You may want to use this for process reviews or for preparing for a SCAMPI Class A.
  • SCAMPI Class C or Gap Analysis – We typically conduct this for organisations who have yet to implement CMMI-based initiatives so that they can design the most cost-effective road map for the implementation proper.

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Big Energy Data Management

Recent times have seen the advent of cloud based services and solutions where energy data is being stored in the cloud and being accessed from anywhere, anytime through remote mobile devices. This has been made possible by web-based systems that can usually bring real-time meter-data into clear view allowing for proactive business and facility management decisions. Some web based systems may even support multi utility metering points and come in handy for businesses operating multiple sites.

Whereas all this has been made possible by increased use of smart devices/ intelligent energy devices that capture data at more regular intervals; the challenge facing businesses is how to transform the large data/big volume of data into insights and action plans that would translate into increased performance in terms of increased energy efficiency or power reliability.

A solution to this dilemma facing businesses that do not know how to process big energy data, may lie in energy management software. Energy management software?s have the capability to analyse energy consumption for, electricity, gas, water, heat, renewables and oil. They enable users to track consumption for different sources so that consumers are able to identify areas of inefficiency and where they can reduce energy consumption, Energy software also helps in analytics and reporting. The analytics and reporting features that come with energy software are usually able to:

? Generate charts and graphs ? some software?s give you an option to select from different graphs

? Do graphical comparisons e.g. generate graphs of the seasonal average for the same season and day type

? Generate reports that are highly customisable

While choosing from the wide range of software available, it is important for businesses to consider software that has the capacity to support their data volume, software that can support the frequency with which their data is captured and support the data accuracy or reliability.

Energy software alone may not make the magic happen. Businesses may need to invest in trained human resources in order to realise the best value from their big energy data. Experts in energy management would then apply human expertise to leverage the data and analyse it with proficiency to make it meaningful to one?s business.

A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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What Kanban can do for Call Centre Response Times

When a Toyota industrial engineer named Taiichi Ohno was investigating ways to optimise production material stocks in 1953, it struck him that supermarkets already had the key. Their customers purchased food and groceries on a just-in-time basis, because they trusted continuity of supply. This enabled stores to predict demand, and ensure their suppliers kept the shelves full.

The Kanban system that Taiichi Ohno implemented included a labelling system. His Kanban tickets recorded details of the factory order, the delivery destination, and the process intended for the materials. Since then, Ohno?s system has helped in many other applications, especially where customer demand may be unpredictable.

Optimising Workflow in Call Centres
Optimising workflow in call centres involves aiming to have an agent pick up an incoming call within a few rings and deal with it effectively. Were this to be the case we would truly have a just-in-time business, in which operators arrived and left their stations according to customer demand. For this to be possible, we would need to standardise performance across the call centre team. Moving optimistically in that direction we would should do these three things:

  • Make our call centre operation nimble
  • Reduce the average time to handle calls
  • Decide an average time to answer callers

When we have done that, we are in a position to apply these norms to fluctuating call frequencies, and introduce ?kanbanned? call centre operators.

Making Call Centre Operations Nimble
The best place to start is to ask the operators and support staff what they think. Back in the 1960?s Robert Townsend of Avis Cars famously said, ?ask the people ? they know where the wheels are squeaking? and that is as true as ever.

  1. Begin by asking technical support about downtime frequencies, duration, and causes. Given the cost of labour and frustrated callers, we should have the fastest and most reliable telecoms and computer equipment we can find.
  1. Then invest in training and retraining operators, and making sure the pop-up screens are valuable, valid, and useful. They cannot do their job without this information, and it must be at least as tech-savvy as their average callers are.
  1. Finally, spruce up the call centre with more than a lick of paint to awaken a sense of enthusiasm and pride. Find time for occasional team builds and fun during breaks. Tele-operators have a difficult job. Make theirs fun!

Reducing Average Time to Handle Calls
Average length of contact is probably our most important metric. We should beware of shortening this at the cost of quality of interaction. To calculate it, use this formula:

Total Work Time + Total Hold Time + Total Post Call Time

Divided By

Total Calls Handled in that Period

Share recordings of great calls that highlight how your best operators work. Encourage role-play during training sessions so people learn by doing. Publish your average call-handling time statistics. Encourage individual operators to track how they are doing against these numbers. Make sure your customer information is up to date. While they must confirm core data, limit this so your operators can get down to their job sooner.

Decide a Target Time to Answer Calls
You should know what is possible in a matter of a few weeks. Do not attempt to go too tight on this one. It is better to build in say 10% slack that you can always trim in future. Once you have decided this, you can implement your Kanban system.

Introducing Kanban in Your Call Centre Operation
Monitor your rate of incoming calls through your contact centre, and adjust your operator-demand metric on an ongoing basis. Use this to calculate your over / under demand factor. Every operator should know the value on this Kanban ticket. It will tell them whether to speed up a little, or slow down a bit so they deliver the effort the call rate demands. It will also advise the supervisor when to call up reserves.

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  • (+44)(0)20-7193-9751 – UK

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