A Business Case for Sharing

We blogged about sharing services in a decentralised business context recently, and explained why we think why these should be IT-Based for speedy delivery. This is not to say that all shared services projects worldwide have been resounding successes. This is often down to the lack of a solid business case up front. We decided to lay out the logic behind this process.

Management Overview ? The overview includes a clear definition of why the current situation is unacceptable, the anticipated benefits of sharing, and an implementation plan were it to go ahead. The project should not proceed until the stakeholders have considered and agreed on this.

Alternatives Considered ? The next stage is to get closer to the other options in order to determine whether an alternative might perhaps be preferable. Substitutes for shared services are often doing nothing, improving the current method, and outsourcing the service to a third party.

The Bottom Line in Business ? Sharing services comes at an initial cost of infrastructure changes, and the impact on human capital (the latter deserves its own blog). The following need careful consideration from the financial angle:

Numbers to Work Through

  • Manpower to design and roll the project out in parallel with the existing organisation.
  • Capital for creating facilities at the central point including civil works, furniture and equipment and IT infrastructure.
  • The costs of travel, feeding and accommodation. These can be significant depending on the time that implementation takes.
  • The opportunity loss of diverting key staff – and the cost of temporary replacements – if appointing line staff to the project team.
  • Crystal-clear project metrics including (a) the direct, realisable savings (b) the medium and long-term effects on profit and (c) where to deploy the savings

Risk Management

Shared services projects don’t go equally smoothly, although planning should reduce the risk to manageable levels. Nonetheless it is important to imagine potential snags, decide how to mitigate them and what the cost might be.

We believe in implementing shared services on a pilot basis in the business unit that eventually provides them. We recommend building these out to other branches only when new processes are working smoothly.

Moving On From a Decision

We recommend you revisit your management overview, the logic behind it, the assumptions you made, and the costs and benefits you envisage before deciding to go ahead

The final step in proving a business case is doable should be fleshing out your roadmap into a detailed operations plan with dependencies on a spreadsheet.

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How DevOps oils the Value Chain

DevOps ? a clipped compound of development and operations – is a way of working whereby software developers are in a team with project beneficiaries. A client centred approach extends the project plan to include the life cycle of the product or service, for which the software is developed.

We can then no longer speak of a software project for say Joe?s Accounting App. The software has no intrinsic value of its own. It follows that the software engineers are building an accounting app product. This is a small, crucially important distinction, because they are no longer in a silo with different business interests.

To take the analogy further, the developers are no longer contractors possibly trying to stretch out the process. They are members of Joe?s accounting company, and they are just as keen to get to market fast as Joe is to start earning income. DevOps uses this synergy to achieve the overarching business goal.

A Brief Introduction to OpsDev

You can skip this section if you already read this article. If not then you need to know that DevOps is a culture, not a working method. The three ?members? are the software developers, the beneficiaries, and a quality control mechanism. The developers break their task into smaller chunks instead of releasing the code to quality control as a single batch. As a result, the review process happens contiguously along these simplified lines.

Code QC Test ? ? ?
? Code QC Test ? ?
? ? Code QC Test ?
? ? ? Code QC Test
Colour Key Developers Quality Control Beneficiary

This is a marked improvement over the previously cumbersome method below.

Write the Code ? Test the Code ? Use the Code
? Evaluate, Schedule for Next Review ?

Working quickly and releasing smaller amounts of code means the OpsDev team learns quickly from mistakes, and should come to product release ahead of any competitor using the older, more linear method. The shared method of working releases huge resources in terms of user experience and in-line QC practices. Instead of being in a silo working on its own, development finds it has a richer brief and more support from being ?on the same side of the organisation?.

The Key Role that Application Program Interfaces Play

Application Program Interfaces, or API?s for short, are building blocks for software applications. Using proprietary software-bridges speeds this process up. A good example would be the PayPal applications that we find on so many websites today. API?s are not just for commercial sites, and they can reduce costs and improve efficiency considerably.

The following diagram courtesy of TIBCO illustrates how second-party applications integrate with PayPal architecture via an API fa?ade.

Working quickly and releasing smaller amounts of code means the OpsDev team learns quickly from mistakes, and should come to product release ahead of any competitor using the older, more linear method. The shared method of working releases huge resources in terms of user experience and in-line QC practices. Instead of being in a silo working on its own, development finds it has a richer brief and more support from being ?on the same side of the organisation?.

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The DevOps Revolution Continues ?

We close with some important insights from an interview with Jim Stoneham. He was general manager of the Yahoo Communities business unit, at the time Flickr became a part. ?Flickr was a codebase,? Jim recalls, ?that evolved to operate at high scale over 7 years – and continuing to scale while adding and refining features was no small challenge. During this transition, it was a huge advantage that there was such an integrated dev and ops team?

The ?maturity model? as engineers refer to DevOps status currently, enables developers to learn faster, and deploy upgrades ahead of their competitors. This means the client reaches and exceeds break-even sooner. DevOps lubricates the value chain so companies add value to a product faster. One reason it worked so well with Flickr, was the immense trust between Dev and Ops, and that is a lesson we should learn.

?We transformed from a team of employees to a team of owners. When you move at that speed, and are looking at the numbers and the results daily, your investment level radically changes. This just can’t happen in teams that release quarterly, and it’s difficult even with monthly cycles.? (Jim Stoneham)

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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.

Saving Energy Step 1 ? Implementing a Management System

There has been much hype down the years regarding whether management is art or science. Thankfully, where people are concerned the pendulum has swung away from standard times in sweatshops in the west. However, when it comes to measuring physical things like harvest per square meter and the amount of energy consumed there is no substitute for scientific measurement, and this implies a system.

Managing energy cost and consumption down is like any other strategy. American engineer / statistician / management consultant W. Edwards Demming may have passed on in 1993. However he was as right as ever when he said:

  1. When people and organizations focus primarily on quality, this tends to increase and costs fall over time.
  1. However, when people and organizations focus primarily on costs, costs tend to rise and quality declines over time.

Demming believed that 90% of organizational problems arise from systems we put in place ourselves. This can be because we are so accustomed to them that we fail to notice when they are no longer relevant. The currently prevailing laissez faire towards energy is a case in point. What is managed improves and what is not, deteriorates. We know this. Let us take a look at how to apply this principle to energy management.

First, you need to get the subject out the closet and talk about it. How often do you do this is your boardroom, and how does energy rank against other priorities? Good governance is about taking up a position and following through on it. Here is a handy checklist you may like to use.

  • Do we use a consistent language when we talk about energy? Is it electricity, or carbon emitted (or are we merely fretting over cost).
  • How well engaged are we as a company? Looking up and down and across the organization are there points where responsibility stops.
  • How well have we defined accountability? Do we agree on key performance areas and how to report on them.
  • Are we measuring energy use at each point of the business? When did we last challenge the assumption that ?we’re doing okay?.
  • Have we articulated our belief that quality is endless improvement, or are we simply chasing targets because someone says we should.

A management system is a program of policies, processes and methods to ensure achievement of goals. The next blog focuses on tools and techniques that support this effort.

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