Keys to Successful Matrix Management

Matrix management, in itself, is a breakthrough concept. In fact, there are a lot of organizations today that became successful when they implemented this management technique. However, there are also organizations that started it but failed. And eventually abandoned it in the end.

Looking at these scenarios, we can say that when you implement matrix management in your organisation, two things can happen – you either succeed or fail. And there?s nothing in between. The truth is, the effectiveness of matrix management lies in your hands and in your implementation. To ensure that you achieve your desired results, recognise these essential keys to successful matrix management.

Establish Performance Goals and Metrics

This should be done as soon as the team is formed, at the beginning of the year or during the process of setting organisational objectives. Whenever it is, the most important thing is that each team player understands the objectives and metrics to which their performances will be evaluated. This ensures that everyone is looking at the same set of objectives as they carry out their individual tasks.

Define Roles and Responsibilities

One pitfall of matrix management is its internal complexity. Awareness of this limitation teaches you to clearly define the roles and responsibilities of the team players up front. Basically, there are three principal sets of roles that should be explained vividly ? the matrix leader, matrix managers and the matrixed employees. It is important to discuss all the possible details on these roles, as well as their specific responsibilities, to keep track of each other?s participation in the projects of the organisation.

One effective tool to facilitate this discussion is through the RACI chart – Who is Responsible? Who is Accountable? Who should be Consulted? Who will Implement? With this, clarification of roles and responsibilities would be more efficient.

When roles are already clearly defined, each participant should review their job descriptions and key performance metrics. This is to make sure that the roles and responsibilities expected of you integrates consistently with your job in the organisation, as a whole.

Manage Deadlines

In matrix management, the employees report to several managers. They will likely have multiple deadlines to attend to and accomplish. There might even be conflicts from one deadline to another. Hence, each should learn how to schedule and prioritise their tasks. Time management and action programs should be incorporated to keep the grace under pressure.

Deliver Clear Communication

Another pitfall of matrix management is heightened conflict. To avoid unrealistic expectations, the matrix leaders and managers should communicate decisions and information clearly to their subordinates, vice versa. It would help if everyone will find time to meet regularly or send timely reports on progress.

Empower Diversity

Knowledge, working styles, opinions, skills and talents are diverse in a matrix organisation. Knowing this fact, each should understand, appreciate and empower the learning opportunities that this diversity presents. Trust is important. Respect to each other?s opinions is vital. And acknowledgement of differing viewpoints is crucial.

The impetus of matrix management is the same ? mobilise the organisation’s resources and skills to cope with the fast-paced changes in the environment. So, maximise the benefits of matrix management as you consider these essential keys to its successful implementation.

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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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Malware

In the past, viruses were created with the sole purpose of wreaking havoc on the infected systems. A large fraction of today’s malware, on the other hand, are designed to generate revenues for the creator. Spyware, botnets, and keyloggers steal information from your system or control it so that someone else can profit. In other words, the motivation for making them is now more attractive than before.

Keyloggers can reveal your usernames, passwords, PIN numbers, and other authentication information to their creators by recording your key strokes. This information can then be used for breaking into various accounts: credit cards, payment programs (like PayPal), online banks, and others. You’re right, keyloggers are among the favourite tools of individuals involved in identity theft.

Much like the viruses of old, most present day malware drain the resources, such as memory and hard disk space, of contaminated systems; sometimes forcing them to crash. They can also degrade network performance and in extreme cases, may even cause a total collapse.

If that’s not daunting enough, imagine an outbreak in your entire organisation. The damage could easily cost your organisation thousands of euros to repair. That’s not even counting yet the value of missed opportunities.

Entry points for malware range from optical disks, flash drives, and of course, the Internet. That means, your doors could be wide open to these attacks at this very moment.

Now, we’re not here to promise total invulnerability, as only an unplugged computer locked up in a vault will ever be totally safe from malware. Instead, this is what we’ll do:

  • Perform an assessment of your computer usage practices and security policies. Software and hardware alone won’t do the trick.
  • Identify weak points as well as poor practices and propose changes wherever necessary. Weak points and poor practices range from the use of perennial passwords and keeping old, unused accounts to poorly configured firewalls.
  • Install malware scanners and firewalls and configure them for maximal protection with minimal effect on network and system performance.
  • Implement regular security patches.
  • Conduct a regular inspection on security policy compliance as well as a review of the policies to see if they are up to date with the latest threats.
  • Keep an audit trail for future use in forensic activities.
  • Establish a risk management system.
  • Apply data encryption where necessary.
  • Implement a backup system to make sure that, in a worst case scenario, archived data is safe.
  • Propose data replication so as to mitigate the after effects of data loss and to ensure your company can proceed with ‘business as usual’.

Once we’ve worked with you to make all these happen, you’ll be able to sleep better.

Other defences we’re capable of putting up include:

Using Pull Systems to Optimise Work Flows in Call Centres

When call centres emerged towards the end of the 20th century, they deserved their name ?the sweatshops of the nineties?. A new brand of low-paid workers crammed into tiny cubicles to interact with consumers who were still trying to understand the system. Supervisors followed ?scientific management? principles aimed at maximising call-agent activity. When there was sudden surge in incoming calls, systems and customer care fell over.

The flow is nowadays in the opposite direction. Systems borrowed from manufacturing like Kanban, Pull, and Levelling are in place enabling a more customer-oriented approach. In this short article, our focus is on Pull Systems. We discuss what are they, and how they can make modern call centres even better for both sets of stakeholders.

Pull Systems from a Manufacturing Perspective

Manufacturing has traditionally been push-based. Sums are done, demand predicted, raw materials ordered and the machines turned on. Manufacturers send out representatives to obtain orders and push out stock. If the sums turn out wrong inventories rise, and stock holding costs increase. The consumer is on the receiving end again and the accountant is irritable all day long.

Just-in-time thinking has evolved a pull-based approach to manufacturing. This limits inventories to anticipated demand in the time it takes to manufacture more, plus a cushion as a trigger. When the cushion is gone, demand-pull spurs the factory into action. This approach brings us closer to only making what we can sell. The consumer benefits from a lower price and the accountant smiles again.

Are Pull Systems Possible in Dual Call Centres

There are many comments in the public domain regarding the practicality of using lean pull systems to regulate call centre workflow. Critics point to the practical impossibility of limiting the number of incoming callers. They believe a call centre must answer all inbound calls within a target period, or lose its clients to the competition.

In this world-view customers are often the losers. At peak times, operators can seem keen to shrug them off with canned answers. When things are quiet, they languidly explain things to keep their occupancy levels high. But this is not the end of the discussion, because modern call centres do more than just take inbound calls.

Using the Pull System Approach in Dual Call Centres

Most call centre support-desks originally focused are handling technical queries on behalf of a number of clients. When these clients? customers called in, their staff used operator?s guides to help them answer specific queries. Financial models?determined staffing levels and the number of ?man-hours? available daily. Using a manufacturing analogy, they used a push-approach to decide the amount of effort they were going to put out, and that is where they planted their standard.

Since these early 1990 days, advanced telephony on the internet has empowered call centres to provide additional remote services in any country with these networks. They have added sales and marketing to their business models, and increased their revenue through commissions. They have control over activity levels in this part of their business. They have the power to decide how many calls they are going to make, and within reason when they are going to make them.

This dichotomy of being passive regarding incoming traffic on the one hand, and having active control over outgoing calls on the other, opens up the possibility of a partly pull-based lean approach to call centre operation. In this model, a switching mechanism moves dual trained operators between call centre duties and marketing activities, as required by the volume of call centre traffic, thus making a pull system viable in dual call centres.

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