IT Systems Implementation

Are you ready to find out how your newly accepted IT system fares in the real world? Although a rigorous Acceptance testing process can spot a wide spectrum of flaws in a newly constructed IT system, there is no way it can identify all possible defects. The moment the IT system is delivered into the hands of actual end users and other stakeholders, it is effectively stepping out of a controlled and secure environment.

Thus, it is during this phase wherein issues having direct impact on the business can arise.

It is our duty to ensure that the Systems Implementation phase is carried out as thoroughly, professionally, and efficiently as possible.

Thoroughly, because we need to include all relevant data and other deliverables, eliminate hard-to-detect miscalculated results, and substantially reduce the probability of business and mission critical issues popping up in the future;

Professionally, because it is the best way to address the sensitive process of turning over a new system to users who have gotten used to the old one;

And efficiently, because we want to minimise the duration over which all stakeholders have to adapt to the new system and allow them to move on to the process of growing the business.

Preparation

Louis Pasteur once said, “Luck favours the mind that is prepared.”

While we certainly won’t leave anything to chance, we do put substantial weight on the Preparation stage of Systems Implementation. We’re so confident with the strategies we employ in Preparation, that we can assure you of an utterly seamless Deployment and Transition phase.

By this we mean that issues that may arise during Deployment and Transition will be handled smoothly and efficiently because your people will know exactly what to do.

Here’s how we will prepare your organisation for Deployment:

  • Identify all key players for the Systems Implementation phase and orient them on their specific roles. We’ll make sure they know what possible hitches may come their way and how to deal with them.
  • Identify all end users and their corresponding functions, then assign appropriate access rights.
  • Draw multi-layered contingency plans to capture and address each possible concern that may crop up during Deployment.
  • Prepare a systematic step-by-step procedure and checklist for the entire Deployment stage. Both of them should have been copied from a similar procedure and checklist used in the Acceptance testing phase.
  • Make all stakeholders understand the conditions required before Deployment can commence.
  • Set the appropriate environment so that all stakeholders know what to expect and when to expect them the moment Deployment commences.
  • Prepare Technical Services and Technical Support personnel for the gruelling mission ahead.
  • Make sure all communication processes are well coordinated so that everyone affected will know who to contact and how to get in touch with them when a problem arises.
  • Plan and schedule training sessions so that they can be conducted “just in time”. Training sessions conducted way ahead of Deployment are often useless because the trainees tend to forget about what they learned when the time comes to apply them. Similarly, training sessions conducted way after Deployment also become useless because trainees are seldom able to internalise instructions delivered during crash courses.

Deployment

There are two sets of issues to keep an eye on during Deployment:

  1. Issues directly related to the technology itself, e.g. application functionality and data integrity, and
  2. Issues emanating from the end users, i.e., their unwillingness to use the new system. One reason may be because they find the interface and procedures too confusing. Another would be due to other inconveniences that come with adapting to a new set of procedures.

Despite all the meticulous scrutiny employed during Acceptance testing, there are just some problems that are made obvious only during Deployment. Issues belonging to the first set are dealt with easily because of the plans and procedures we put in place during the Preparation stage. As an added measure, our team will be on hand to make sure contingency plans are executed accordingly.

While the second set of issues is often neglected by many IT consultancy companies, we choose to meet it head on.

We fully understand that end users are most sensitive to the major changes that accompany a new system. It is precisely for this reason why our training activities during Deployment are designed not only to educate them but also to make them fully appreciate the necessity of both the new system and the familiarisation phase they will need to go through.

The faster we can bring your end users to accept the new system, the faster they can refocus on your company’s business objectives.

Here’s what we’ll do to guarantee the smoothest Deployment process you’ve ever experienced.

  • Employ the procedure and checklist formulated during the Preparation stage.
  • Ensure all end users are well acquainted with any additional tasks they would need to perform (e.g. filling up manual logs).
  • Assess which legacy systems can still be used alongside the new technology and which ones have to be retired.
  • Supervise the installation and optimal configuration of all supporting hardware and software to make sure the likelihood of errors originating from them are brought to near-zero levels.
  • Supervise the installation and optimal configuration of the products themselves.
  • Carry out data migration tasks if necessary.
  • Organise and oversee parallel runs to check for data and report inconsistencies.
  • Conduct training sessions in a professional and well-timed manner to eliminate end-users’ feelings of agitation and to take advantage of memory absorption and retention duration as with regards to their assigned duties and responsibilities.

Transition

Do you often feel uneasy whenever the reins to a newly purchased IT system are handed over to you? Perhaps there are some issues that you feel haven’t been fully settled but, at the same time, find it too late to back out, having already invested so much time and resources.

Alright, so maybe the thought of “backing up” never crossed your mind. However, the concern of being “not yet ready” is raised by many organisations towards the tail end of most Deployment stages. This usually drags the Deployment stage into a never-ending process.

Our team of highly experienced specialists will make sure you reach this point with utmost confidence to proceed on your own.

To wrap up our comprehensive IT Systems Implementation offering, we’ll take charge of the following:

  • Verify that all deliverables, including training materials and other technical documentation, are accomplished and expected outcomes are realised.
  • Make sure all technical documentation are placed in a secure and accessible location.
  • Institute best practices to ensure the IT system becomes fully utilised and to reduce its exposure to avoidable risks.
  • Establish open communication lines with the Technical Support team to enable quick resolution of issues.
  • Ensure complete knowledge transfer has been fully achieved so that your people will spend less time calling Technical Support and more on operations contributory to business growth.

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Finding the Best Structure for Your Enterprise Development Team

An enterprise development team is a small group of dedicated specialists. They may focus on a new business project such as an IoT solution. Members of microteams cooperate with ideas while functioning semi-independently. These self-managing specialists are scarce in the job market. Thus, they are a relatively expensive resource and we must optimise their role.

Organisation?Size and Enterprise Development Team Structure

Organisation structure depends on the size of the business and the industry in which it functions. An enterprise development team for a micro business may be a few freelancers burning candles at both ends. While a large corporate may have a herd of full-timers with their own building. Most IoT solutions are born out of the efforts of microteams.

In this regard, Bill Gates and Mark Zuckerberg blazed the trail with Microsoft and Facebook. They were both college students at the time, and both abandoned their business studies to follow their dreams. There is a strong case for liberating developers from top-down structures, and keeping management and initiative at arm?s length.

The Case for Separating Microteams from the?Organisation

Microsoft Corporation went on to become a massive corporate, with 114,000 employees, and its founder Bill Gates arguably one of the richest people in the world. Yet even it admits there are limitations to size. In Chapter 2 of its Visual Studio 6.0 program it says,

‘today’s component-based enterprise applications are different from traditional business applications in many ways. To build them successfully, you need not only new programming tools and architectures, but also new development and project management strategies.?

Microsoft goes on to confirm that traditional, top-down structures are inappropriate for component-based systems such as IoT solutions. We have moved on from ?monolithic, self-contained, standalone systems,? it says, ?where these worked relatively well.?

Microsoft’s model for enterprise development teams envisages individual members dedicated to one or more specific roles as follows:

  • Product Manager ? owns the vision statement and communicates progress
  • Program Manager ? owns the application specification and coordinates
  • Developer ? delivers a functional, fully-complying solution to specification
  • Quality Assurer ? verifies that the design complies with the specification
  • User Educator ? develops and publishes online and printed documentation
  • Logistics Planner ? ensures smooth rollout and deployment of the solution

Three Broad Structures for Microteams working on IoT Solutions

The organisation structure of an enterprise development team should also mirror the size of the business, and the industry in which it functions. While a large one may manage small microteams of employee specialists successfully, it will have to ring-fence them to preserve them from bureaucratic influence. A medium-size organisation may call in a ?big six? consultancy on a project basis. However, an independently sourced micro-team is the solution for a small business with say up to 100 employees.

The Case for Freelancing Individuals versus Functional Microteams

While it may be doable to source a virtual enterprise development team on a contracting portal, a fair amount of management input may be necessary before they weld into a well-oiled team. Remember, members of a micro-team must cooperate with ideas while functioning semi-independently. The spirit of cooperation takes time to incubate, and then grow.

This is the argument, briefly, for outsourcing your IoT project, and bringing in a professional, fully integrated micro-team to do the job quickly, and effectively. We can lay on whatever combination you require of project managers, program managers, developers, quality assurers, user educators, and logistic planners. We will manage the micro-team, the process, and the success of the project on your behalf while you get on running your business, which is what you do best.

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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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Month End Accounting the way it should Be Today

Month end accounting has always been a business critical exercise. Without the balance sheet, income statement, and other financial reports this exercise ultimately produces, management could not make informed decisions to keep the company in the right direction and at the ideal operational speed.

Now, in order to maintain optimal business velocity, month end activities have to be carried out as swiftly and as accurately as possible. Delays will only inhibit managers from reacting and effecting necessary adjustments in time. Inaccurate information, on the other hand, obviously lead to bad decisions.

But that’s not all. Never has the month end close been as demanding as it is today. Regulations like the Sarbanes-Oxley Act, Solvency II, Dodd-Frank Act, and others, which call for more stringent controls and more robust risk management practices, are now forcing companies to find better ways to face the end of the month.

Sticking to old month-end practices while striving to achieve regulation compliance can either cost a company more (if they add manpower) or simply bog it down (if they don’t). Among the worst of these practices is the use of spreadsheets.

These User Developed Applications (UDAs) are very susceptible to errors. (See spreadsheet risks)

What’s more, consolidating data from spreadsheets as well as carrying out reconciliations on them is very time consuming. These activities usually require data from outside sources – i.e. a workstation in a different department, building, or (in the case of really large corporations) geographical locations.

Furthermore, if one of these sources fail, the financial reports won’t be complete. This is not a far-fetched scenario, considering that spreadsheet storage and backup is typically carried out by the average end user. This leaves the spreadsheet data vulnerable to hard disk crashes, virus attacks, and unexpected disasters.

Thus, in order to produce accurate financial reports on time all the time, you need a financial/IT solution that offers optimal provisions for risk management, collaboration, backup, and business continuity. Learn about server-based solutions and discover a better way to carry out month end accounting.

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