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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Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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Why DevOps Matters: Things You Need to Know

DevOps creates an agile relationship between system development and operating departments, so the two collaborate in providing results that are technically effective, and work well for customers and users. This is an improvement over the traditional model where development delivers a complete design ? and then spends weeks and even months afterwards, fixing client side problems that should never have occurred.
Writing for Tech Radar Nigel Wilson explains why it is important to roll out innovation quickly to leverage advantage. This implies the need for a flexible organisation capable of thinking on its feet and forming matrix-based project teams to ensure that development is reliable and cost effective.
Skirmishes in Boardrooms
This cooperative approach runs counter to traditional silo thinking, where Operations does not understand Development, while Development treats the former as problem children. This is a natural outcome of team-centred psychology. It is also the reason why different functions pull up drawbridges at the entrance to their silos. This situation needs managing before it corrodes organization effectiveness. DevOps aims to cut through this spider web of conflict and produce faster results.

The Seeds of Collaboration

Social and personal relationships work best when the strengths of each party compensate the deficiencies of the other. In the case of development and operations, development lacks full understanding of the daily practicalities operating staff face. Conversely, operations lacks ? and should lack knowledge of the nuances of digital automation, for the very reason it is not their business.
DevOps straddles the gap between these silos by building bridges towards a co-operative way of thinking, in which matrix-teams work together to define a problem, translate it into needs and spec the system to resolve these. It is more a culture than a method. Behavioural change naturally leads to contiguous delivery and ongoing deployment. Needless to say only the very best need apply for the roles of client representative, functional tester and developer lead.

Is DevOps Worth the Pain of Change?

Breaking down silos encroaches on individual managers? turf. We should only automate to improve quality and save money. These savings often distil into organisational change. The matrix team may find itself in the middle of a catfight. Despite the pain associated with change resistance, DevOps more than pays its way in terms of benefits gained. We close by considering what these advantages are.

An Agile Matrix Structure ? Technical innovation is happening at a blistering rate. The IT industry can no longer afford to churn out inferior designs that take longer to fix than to create. We cannot afford to allow office politics to stand in the way of progress. Silos and team builds are custodians of routine and that does not sit well with development.

An Integrated Organization ? DevOps not only delivers operational systems faster through contiguous testing. It also creates an environment whereby cross-border teams work together towards achieving a shared objective. When development understands the challenges that operations faces ? and operations understands the technical limiters – a new perspective emerges of ?we are in this together?.

The Final Word ? With understanding of human dynamics pocketed, a DevOps project may be easier to commission than you first think. The traditional way of doing development – and the waterfall delivery at the end is akin to a two-phase production line, in which liaison is the weakest link and loss of quality inevitable.

DevOps avoids this risk by having parties work side-by-side. We need them both to produce the desired results. This is least until robotics takes over and there is no longer a human element in play.

Benefits of Integrating IoT and Field Service

Owing to the complexity of its definition, many people loosely use the phrase Internet of Things (IoT) without having a solid grasp of its true meaning. A majority in this category take IoT to be nothing more than the automation of home gadgets, where the internet is used to interconnect computing components embedded in everyday devices.

Granted, the whole idea of IoT got its roots from the home setting. Nevertheless, IoT has outgrown that spectrum and has since penetrated into almost every area of business and industry. By employing IoT, you can literally take full control of everything in your business using a single device. From assigning tasks to monitoring security, managing bills to tracking time, IoT has revolutionized the way business is done.

Interestingly, not so long ago, most technology experts limited their forecasts to machine-to-machine (M2M) integration and Augmented Reality (AR), which also, admittedly, hit the technology industry with an admirable suave. Back then, it could have been laughable for anyone to have suggested that IoT would be so commanding in almost every industry, including real estate, medicine, automobile, and more.

It’s not for nothing, therefore, that the field service industry has also embraced IoT, integrating it in the daily running of business activities, including tracking machine diagnostics, detecting breakdowns, and assigning field engineers to attend to customer needs.

How the Field Service Industry is Benefiting from IoT

Machine uptime has remained an ongoing concern for many customers. In the traditional approach, whenever a machine breaks down, the customer alerts the service provider and then the field service manager checks to see if there is any field engineer available for a new task. Once an engineer has been identified, he?s then dispatched to the site. This worked, but it resulted in an extended machine downtime, a terrible experience for customers.

Thanks to IoT, things are now happening differently.

IoT is now integrating machines to a central communications centre, where all alerts and status updates are sent. The notifications are instant. The field service manager, therefore, gets to learn of the status of machines at the exact time of status change. An engineer who?s not engaged would then be immediately assigned to undertake any needed servicing or repair.

By employing IoT, the service provider receives timely reports relating to diagnostics, machine uptime, part failures, and more. The field manager can, as a result, foretell and forestall any possible downtime.

How has this been helpful?

Before giving a definite answer to that question, it’s crucial to note that more than half of all field service organizations now employ IoT in their Asset Management Systems and Field Service Management. And to answer the question, all the organizations that have the two systems integrated using IoT experience twice as much efficiency as those that don’t, states an Aberdeen Group report. As you already know, improved efficiency results in a corresponding upshot in customer satisfaction.

Apps Making a Difference in IoT-Field Service

The integration of IoT into almost every aspect of business prompted the design and development of different applications to link computing devices. Since the advent of IoT, the software development for the technology has come of age. Powerful and lightweight apps that don simple yet beautiful user interfaces are now readily available at affordable price tags.

A good example of such an App is ecoVaro by Denizon.

ecoVaro not only helps businesses to monitor energy and other relevant environmental data such as Electricity, Gas, Water, Oil, Carbon, Temperature, Humidity, Solar Power, and more, but also provides analytics and comprehensive yet easy to understand reports. The data received from devices such as meters is converted into useful information that’s then presented in figures and graphs, thus allowing you to make decisions based on laid down controls.

The focus of the app is to instantly alert service engineers to go on site to fix issues.

With ecoVaro, field service engineers no longer have to return to the office to get new instructions. Also, customers don’t have to manually fire alerts to the service provider whenever something isn’t working correctly. By employing the latest in IoT, ecoVaro sends notifications to field service managers and engineers about respective customers that need support.

How ecoVaro Helps

Best-in-class companies aren’t ready to compromise on customer satisfaction. Therefore, every available avenue is used to address customer concerns with the deserved agility. By using IoT, ecoVaro makes it possible for field service providers to foresee and foreclose any possible breakdowns.

The inter-connectivity among the devices and the central communications centre results in increased revenue and improved interactivity between the system and the field engineers. This results in greater efficiency and lower downtime, which translates into improved productivity, accountability, and customer satisfaction, as well as creating a platform for a possible expansion of your customer base.

ecoVaro isn’t just about failed machines and fixes. It also provides diagnostics about connected systems and devices. With this, the diagnostics centre receives system reports in a timely manner, allowing for ease of planning and despatch of field officers where necessary.

Clearly, but using the right application, IoT can transform your business into an excellently performing field service company.

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