How COBIT helps you achieve SOX Compliance

First released way back in 1996, COBIT has already been around for quite a while. One reason why it never took off was because companies were never compelled to use it ? until now. Today, many CEOs and CIOs are finding it to be a vital tool for achieving SOX compliance in IT.

Thanks to SOX, COBIT (Control Objectives for Information and related Technology) is now one of the most widely accepted source of guidance among companies who have IT integrated with their accounting/financial systems. It has also gained general acceptability with third parties and regulators. But how did this happen?

Role of control frameworks in SOX compliance

You see, the Sarbanes-Oxley Act, despite having clearly manifested the urgency of establishing effective internal controls, does not provide a road map for you to follow nor does it specify a yardstick to help you determine whether an acceptable mileage in the right direction has already been achieved.

In other words, if you were a CIO and you wanted to find guidance on what steps you had to take to achieve compliance, you wouldn’t be able to find the answers in the legislation itself.

That can be a big problem. Two of your main SOX compliance obligations as a CEO or CIO is to assume responsibility in establishing internal controls over financial reporting and to certify their effectiveness. After that, the external auditors are supposed to attest to your assertions. Obviously, there has to be a well-defined basis before you can make such assertions and auditors can attest to anything.

In the language of auditors, this ?well-defined basis? is known as a control framework. Simply put, once you certify the presence of adequate internal controls in your organisation, the external auditor will ask, ?What control framework did you use??

Knowing what control framework you employed will help external auditors determine how to proceed with their evaluations and tests. For your part, a control framework can serve as a guide to help you work towards specific objectives for achieving compliance. Both of you can use it as a common reference point before drawing any conclusions regarding your controls.

But there are many control frameworks out there. What should you use?

How SOX, COSO, and COBIT fit together

Fortunately, despite SOX?s silence regarding control frameworks, you aren’t left entirely to your own devices. You could actually take a hint from the SEC and PCAOB, two of the lead organisations responsible for implementing SOX. SEC and PCAOB point to the adoption of any widely accepted control framework.

In this regard, they both highly endorse COSO, a well-established internal control framework formulated by the Committee of Sponsoring Organisations of the Treadway Commission (COSO). Now, I must tell you, if you’re looking specifically for instructions pertaining to IT controls, you won’t find those in COSO either.

Although COSO is the most established control framework for enterprise governance and risk management you’ll ever find (and in fact, it’s what we recommend for your general accounting processes), it lacks many IT-related details. What is therefore needed for your IT processes is a framework that, in addition to being highly aligned with COSO, also provides more detailed considerations for IT.

This is where COBIT fits the bill.

How COBIT can contribute to your regulatory compliance endeavors

COBIT builds upon and adheres with COSO while providing a finer grain of detail focused on IT. You can even find a mapping between COBIT IT processes and COSO components within the COBIT document itself.

Designed with regulatory compliance in mind, COBIT lays down a clear path for developing policies and good practice for IT control, thus enabling you to bridge the gap between control requirements, technical issues, and business risks.

Some of the components you’ll find in COBIT include:

IT control objectives

These are statements defining specific desired results that, as a whole, characterise a well-managed IT process. They come in two forms for each COBIT-defined IT process: a high-level control objective and a number of detailed control objectives. These objectives will enable you to have a sense of direction by telling you exactly what you need to aim for.

Maturity models

These are used as benchmarks that give you a relative measurement stating where your level of management or control over an IT process or high-level control objective stands. It serves as a basis for setting as-is and to-be positions and enables support for gap analysis, which determines what needs to be done to achieve a chosen level. Basically, if a control objective points you to a direction, then its corresponding maturity model tells you how far in that direction you’ve gone.

RACI charts

These charts tell you who (e.g. CEO, CFO, Head of Operations, Head of IT Administration) should be Responsible, Accountable, Consulted, and Informed for each activity.

Goals and Metrics

These are sets of goals along with the corresponding metrics that allow you to measure against those goals. Goals and metrics are defined in three levels: IT goals and metrics, which define what business expects from IT; process goals and metrics, which define what the IT process should deliver to support It’s objectives; and activity goals and metrics, which measure how well the process is performing.

In addition to those, you’ll also find mappings of each process to the information criteria involved, IT resources that need to be leveraged, and the governance focus areas that are affected.

Everything is presented in a logical and manageable structure, so that you can easily draw connections between IT processes and business goals, which will in turn help you decide what appropriate governance and control is needed. Ultimately, COBIT can equip you with the right tools to maintain a cost-benefit balance as you work towards achieving SOX compliance.

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How AI Helps Improve Field Service

Its seems that with the current rate of technological innovation that these is something new every single day.  Therefore, you’re always looking forward to a new technological innovation that’s going to help you make your business operations more efficient and automated.

One of the most fascinating milestones in the field of technology is the integration of Artificial Intelligence (AI) in business. In one way or the other, AI gives a glimpse of machine supremacy that allows computers to perform tasks that were initially performed by humans. 

Are machines going to completely replace people in the workplace?

Of course, not.  Technologies like AI and Machine Learning are designed and meant to support employees in doing their tasks too boost their productivity.

AI is predominantly used to eliminate jobs and tasks that humans find boring, demotivating or monotonous. In some cases AI is also used to do jobs that are considered dangerous for humans to preform.

Previously the most common implementations for AI were all about gaming, entertainment, and advanced science,  now it’s spreading into a number of industries including the field service industry.

FieldElite – Field Service Software , can help you optimise the day-to-day operations of your business.

AI in field service management will enhance you business capabilities with:

  • Information Sharing
  • Real Time Updates
  • Automated Workflows
  • Digital Form Data Collection
  • Data Analysis

Improved Customer Service

For Service Based companies, customer retention is vital. Primarily because It can be 5-25 times more costly to acquire a new customer than it is to retain an existing ones.

Therefore customer retention should be a primary focus.? The good news is that by making use of AI you can implement services It can be 5-25 times more costly to acquire a new customer than it is to retain an existing one.

Staying on top of and ensuring you satisfactorily address and meet you customer demands and expectations can be a daunting task.? It can also be an expensive one,? especially for small field service based businesses like :

  • Heating & Plumbing Engineers
  • Electrical Contractors
  • Fire Safety Inspectors
  • HVAC Engineers
  • Facility Management
  • Building, Construction & Trade

Implementing Artificial Intelligence and Machine Learning to automate mundane and repetitive customer administration tasks will enable your staff to be free to provide additional value added tasks for your customers. Making your customers happier.

?Think about the active Chatbots. You can always get complaints directly from customers and address them right away.??

If at any point the customer is unhappy with your services, they can always raise the issue via the Chatbots. Since the bots contain necessary customer information, you can always get back to them and fix the issue at hand.?

With AI in field service, you can solve problems before they arise, or what is otherwise known as predictive maintenance,? In that way, you’ll have better customer relations because you’ll be able to address your customer concerns before they even become aware of them.

Improved Productivity

Scheduling tasks and managing the workforce isn’t a walk in the park. It goes beyond assigning tasks to your team members in the field and giving them deadlines to meet. Whether it’s a small firm or a big organisation, it’s quite difficult to organise the workforce.?

However, adopting Artificial Intelligence can iron out the difficulties most field organisations face in scheduling and managing tasks. Some years back, most firms relied on human intelligence to dispatch jobs to the right people based on given conditions. This was quite difficult, especially that it wasn’t always successful. But thanks to AI. With field service apps like FieldElite scheduling tasks and managing workforce is only a few clicks away.?

What’s more? There?s no room for error. Therefore, you’ll always match the right people for the job. Again, your team will always get tasks on time. That means, the job completion rate will go up, and hence the workforce becomes more productive.?

Predictive Maintenance

Usually, most business operations are based on ?solve the problem as it occurs?, which is just OK. However, it’s not always safe to wait until a problem occurs so that you solve it. Prevention is better than cure, and that’s why Artificial Intelligence comes handy in Field Service.

Using FieldElite Workforce Management Software , you don’t have to wait until something breaks.? Utilizing AI in field service enables you to proactively address field service needs and prevent unforeseen failures and interruptions.?

The ability to predict field service needs through field service apps like FieldElite enables you to make more accurate forecasts. In this way, resource planning is made easier, and as such, you’ll have smoothly running workflows. Again, by taking care of unforeseen circumstances in advance, you’re flexible enough to take care of the unexpected. And that means the overall productivity of your business will go up.

Job Management

Most field service jobs involve multiple stages that can take several days to complete. In addition to this, more often than not, you have to coordinate lots of equipment and contractors at the same time. All these can’t be achieved solely by human efforts. For more successful outcomes, it’s important to incorporate Artificial Intelligence in your field service operations.?

FieldElite is the field service solution that can help you manage sophisticated tasks. The app is packed with field service management tools that enable you to assign complicated tasks and keep track of your field techs. For long-cycle jobs, FieldElite app enables you to follow up on the activities going on the field to ensure they’re completed.?

With AI, there?s no room for error even when the jobs become more sophisticated.

Data Analysis

?

Field service industry involves lots of data. Some years back, organisations depended on human intelligence to analyse big data. Well, things still worked out, but as a human is to err, the outcome wasn’t always perfect. However, with Artificial Intelligence data analysis, 100% accuracy in data analysis is achievable. Field service solutions like FieldElite provide sophisticated data analytic tools that enable you to crack massive data and offer accurate solutions.?

FieldElite data analytics capabilities give you an insight into what’s not working and what needs to be improved. In that way, you can always address matters arising and take care of the loopholes.?

It’s time to go paperless with field management software like FieldElite if you?d like to make your business more profitable. Apart from improving the productivity of your workforce, incorporating AI in your business increases profitability. If you’re still doing your usual field rounds with a clipboard, it’s time to simplify your task with FieldElite app.?

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Spend more to reduce costs?

It is becoming increasingly important to not to analyse energy consumption for all utility types, be it electricity, gas, water, heat, renewables, oil etc. The bottom line is both operational efficiency and utility costs monitoring. In the long run, these are management strategies designed to drive energy costs downwards as a continuous improvement cycle and as a measure of reducing carbon emissions.

It is also getting increasingly easier for organisations reduce energy use and achieve this goal using technology without having to “remember” to do it yourself. Organisations can never go wrong by investing in energy management software. There are varied software options to choose from depending on the organisational objective.
Some of the energy management objectives that organisations may need to meet are:

? Establishing baseline energy use

? Carrying out Energy audits

? Monitoring and measuring energy performance against the energy policies of an organisation and objectives

? Achieving energy certification
Energy management software?s come in handy when an organization wishes to achieve either of the above objectives.

Use of energy management software?s also assists organisations in measurement and verification of energy consumption as well as Monitoring and Targeting. Measurement and verification is where a company quantifies energy consumption beforehand (baseline energy use) and after energy consumption measurements are implemented in order to verify and report on the level of savings actually achieved.

Organisations that wish to verify the energy savings achieved by building retrofits can use energy management software?s. This is an important objective for companies that wish to either satisfy internal financial accounting and reporting requirements, or to meet the terms of third-party contracts for project implementation and management. Monitoring and targeting is also made easier by use of software. This is critical as a management technique, regardless of whether an organisation has specific facility retrofits in order to keep operations efficient and to monitor utility costs.
Overall, an investment in energy management software, is worthwhile in the achievement of management strategies designed to drive energy costs downwards as a continuous improvement cycle.

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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