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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Why Executives Fail & How to Avoid It

The ?Peter Principle? concerning why managers fail derives from a broader theory that anything that works under progressively more demanding circumstances will eventually reach its breaking point and fail. The Spanish philosopher Jos? Ortega y Gasset, who was decidedly anti-establishment added, “All public employees should be demoted to their immediately lower level, as they have been promoted until turning incompetent”.

The Peter Principle is an observation, not a panacea for avoiding it. In his book The Peter Principle Laurence J. Peter observes, “In a hierarchy every employee tends to rise to his level of incompetence … in time every post tends to be occupied by an employee who is incompetent to carry out its duties … Work is accomplished by those employees who have not yet reached their level of incompetence.”

Let’s find out what the drivers are behind a phenomenon that may be costing the economy grievously, what the warning signs are and how to try to avoid getting into the mess in the first place.

Drivers Supporting the Peter Principle

As early as 2009 Eva Rykrsmith made a valuable contribution in her blog 10 Reasons for Executive Failure when she observed that ?derailed executives? often find themselves facing similar problems following promotion to the next level:

The Two Precursors

  • They fail to establish effective relationships with their new peer group. This could be because the new member, the existing group, or both, are unable to adapt to the new arrangement.
  • They fail to build, and lead their own team. This could again be because they or their subordinates are unable to adapt to the new situation. There may be people in the team who thought the promotion was theirs.

The Two Outcomes

  • They are unable to adapt to the transition. They find themselves isolated from support groups that would otherwise have sustained them in their new role. Stress may cause errors of judgement and ineffective collaboration.
  • They fail to meet business objectives,?but blame their mediocre performance on critical touch points in the organization. They are unable to face reality. Either they resign, or they face constructive dismissal.

The Warning Signs of Failure

Eva Rykrsmith suggests a number of indicators that an individual is not coping with their demanding new role. Early signs may include:

  • Lagging energy and enthusiasm as if something deflated their ego
  • No clear vision to give to subordinates, a hands-off management style
  • Poor decision-making due to isolation from their teams? ideas and knowledge
  • A state akin to depression and acceptance of own mediocre performance

How to Avoid a ?Peter? in Your Organization

  • Use succession planning to identify and nurture people to fill key leadership roles in the future. Allocate them challenging projects, put them in think tanks with senior employees, find mentors for them, and provide management training early on. When their own manager is away, appoint them in an acting role. Ask for feedback from all concerned. If this is not positive, perhaps you are looking at an exceptional specialist, and not a manager, after all.
  • Consider the future, and not the past when interviewing for a senior management position. Ask about their vision for their part of the organization. How would they go about achieving it? What would the roles be of their subordinates in this? Ask yourself one very simple question; do they look like an executive, or are you thinking of rewarding loyalty.
  • How to Avoid Becoming a ?Peter??Perhaps you are considering an offer of promotion, or applying for an executive job. Becoming a ?Peter? at a senior level is an uncomfortable experience. It has cost the careers of many senior executives dearly. We all have our level of competence where we enjoy performing well. It would be pity to let blind ambition rob us of this, without asking thoughtful questions first. Executives fail when they over-reach themselves, it is not a matter of bad luck.

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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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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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