Matrix Management: Benefits and Pitfalls

Matrix management brings together managers and employees from different departments to collaborate with each other towards the accomplishment of the organizational goals. As much as it is beneficial, matrix management also has limitations. Hence, companies should understand its benefits and pitfalls before implementing this management technique.

Benefits

The following are some of the advantages of matrix management:

Effective Communication of Information

Because of the hybrid nature of the matrix structure, it enables different departments to closely work together and communicate frequently in order to solve project issues. This leads to a proficient information exchange among leaders and subordinates. Consequently, it results to developed strategies, enhanced performance and quick productivity.

Efficient Use of Resources

Resources can be used efficiently in the organisation since it can be shared among functions and projects. As the communication line is more open, the valuable knowledge and highly skilled resources are easily distributed within the organisation.

Increased Motivation

The matrix structure promotes democracy. And with the employees working on a team, they are motivated to perform their duties better. The opinions and expertise of the employees are brought to the table and considered by the managers before they make decisions. This leads to employee satisfaction, empowerment and improved performance.

Flexibility

Since the employees communicate with each other more frequently, decision making becomes speedy and response is adaptive. They can easily adjust with diverse situations that the company encounters.

Skills Development

Matrix employees are pooled out for work assignments, even to projects that are not necessarily in line with their skill background. With this approach to management, employees have the chance to widen their skills and expertise.

Discipline Retention

One significant advantage of matrix management is that it enables the employees to maintain their skills in functional areas while working with multidisciplinary projects. Once the project is completed and the team wraps up, the members remain sharp in their discipline technically and return to their home functions.

Pitfalls

Here are some disadvantages of matrix management:

Power Struggle

In the matrix structure, there is always tension between the functional and project manager. Although their intent is polite, their conflicting demands and competition for control over the same resources make it more difficult.

Internal Complexity

Having more than one manager, the employees might become confused to who their immediate leader is. The dual authority can lead to internal complexity and possible communication problems. Worst, employee dissatisfaction and high employee turnover.

Heightened Conflict

In any given situation where people and resources are shared across projects, there would always be competition and conflict. When these issues are prolonged, conflicts will heightened and will lead to more internal problems.

Increased Stress

For the employees, being part of a matrix structure can be stressful. Their commitment is divided among the projects and their relationship with multiple managers requires various adjustments. Increased stress can negatively affect their performance in the long run.

Excessive Overhead Expenses

Overhead administrative costs, such as salaries, increase in a matrix structure. More expenses, more burden to the organisation. This is a challenge to matrix management that leaders should consider carefully.

These are just some of the advantages and disadvantages of matrix management. The list could go on, depending on the unique circumstances that organisations have. The key is that when you decide to implement matrix management, you should recognise how to take full advantage of its benefits and understand how to lessen, if not eradicate, the pitfalls of this approach to management.

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Saving Energy Step 1 ? Implementing a Management System

There has been much hype down the years regarding whether management is art or science. Thankfully, where people are concerned the pendulum has swung away from standard times in sweatshops in the west. However, when it comes to measuring physical things like harvest per square meter and the amount of energy consumed there is no substitute for scientific measurement, and this implies a system.

Managing energy cost and consumption down is like any other strategy. American engineer / statistician / management consultant W. Edwards Demming may have passed on in 1993. However he was as right as ever when he said:

  1. When people and organizations focus primarily on quality, this tends to increase and costs fall over time.
  1. However, when people and organizations focus primarily on costs, costs tend to rise and quality declines over time.

Demming believed that 90% of organizational problems arise from systems we put in place ourselves. This can be because we are so accustomed to them that we fail to notice when they are no longer relevant. The currently prevailing laissez faire towards energy is a case in point. What is managed improves and what is not, deteriorates. We know this. Let us take a look at how to apply this principle to energy management.

First, you need to get the subject out the closet and talk about it. How often do you do this is your boardroom, and how does energy rank against other priorities? Good governance is about taking up a position and following through on it. Here is a handy checklist you may like to use.

  • Do we use a consistent language when we talk about energy? Is it electricity, or carbon emitted (or are we merely fretting over cost).
  • How well engaged are we as a company? Looking up and down and across the organization are there points where responsibility stops.
  • How well have we defined accountability? Do we agree on key performance areas and how to report on them.
  • Are we measuring energy use at each point of the business? When did we last challenge the assumption that ?we’re doing okay?.
  • Have we articulated our belief that quality is endless improvement, or are we simply chasing targets because someone says we should.

A management system is a program of policies, processes and methods to ensure achievement of goals. The next blog focuses on tools and techniques that support this effort.

How to Improve Corporate Efficiency through IT

When revenues are low, what do you do to improve your profit? Obviously, those same revenues should at least remain the same. So, the objective would be to deliver the same products and services for less cost. More for less. Such is the essence of corporate efficiency.

There are many things that can make a company inefficient. There are outdated procedures, poor coordination between departments, managers? lack of business visibility, and prolonged down times, to mention a few. As a company grows, these issues get more severe.

You can overcome all these by deploying the right IT solutions. But don’t IT solutions increase spending instead? Au contraire. The last couple of decades have seen the rise of IT solutions that help companies’realise obvious cost savings in no time.

Streamline processes and keep departments in-sync

Company inefficiencies are largely due to outdated systems and procedures. These systems and procedures were not built for the dynamic and complex business environments of today that are being shaped by increasingly onerous regulations, fierce and growing competition, significant economic upswings and downturns, new battlefronts (like the Web) and logistical strategies (like outsourcing), and IT-savvy crooks.

So when your employees force outdated systems to meet today?s business demands, they’re just not able to deliver. At least not efficiently.

Another major cause of inefficiency is the discordance among departments, business units, and even individual staff members themselves. There are those who still use highly personalised spreadsheets and other disparate applications, which make data consolidation take forever and the financial close a perennial headache.

Costly devices like mobile phones, netbooks, and tablet PCs, which are supposedly designed to provide better communication, are not fully maximised. If these are subsidised by the company, then they also contribute to company inefficiency.

One way to deal with these issues is to deploy server based solutions. By centralising your IT system, you can easily implement various improvements that can pave the way for better communication and collaboration, stronger security, faster processes and transactions, and shorter down times for troubleshooting and maintenance. All these clearly translate to cost savings.

Gain better visibility

Corporate efficiency can be improved if your decision makers can make wise and well-informed decisions, faster. But they can only do this if reports they receive from people down the line are timely, accurate, and reliable. Basically, data should be presented in a way for managers to gain quick insights from.

If your people take too much time scrutinising, interpreting, and reconciling data, you can’t hope to gain a significant competitive advantage. Equally important to managing an ongoing project is the speed at which you make a go/no go decision to start or stop a project. A wise, quick decision will help you avoid wastage.

The same holds true when making purchases and investment decisions. It’s all about quickly eliminating waste and investing only on those that will give you fast, positive returns.

Clear business visibility will allow managers to allocate resources where they are most effective, to pinpoint what products and services being offered are more profitable, and to identify which customers are giving better business from an overall perspective.

These are all possible with business intelligence. We know, we know. You’ll say BI solutions will force you to break the bank. Not anymore. At least, not all. There are already two main types of BI solutions: on-premise and SaaS. The latter will generally cost you less.

Of course, each type has its own advantages, and you’ll really have to look into the size of your organisation, the number of source systems your decision-making platform is connected to, integration requirements, budget, etc. to make sure you get the most out of your investment.

But IT solutions cost an arm and a leg

Again, not anymore. These days, you can find IT products that are faster, more functional, and more powerful than their predecessors at a fraction of the cost. When it comes to getting more affordable IT products and services, you now have many options.

For example, you can turn to open source solutions to save on license costs. These solutions are typically backed by vibrant and helpful communities where you can find an extensive source of technical support – many of which are for free. With popular open source products, you can easily tap from a large pool of developers with affordable rates any time you want to make system enhancements or customisation.

On another front, virtualization solutions allow you to save on CAPEX and OPEX by eliminating certain expenses normally used for setting up infrastructure or buying hardware and maintaining them. Server virtualisation, for instance, will allow you to consolidate servers and put them together into just one machine, while desktop virtualisation will enable you to eliminate unproductive hours associated with desktop down times by allowing you to redeploy a malfunctioning desktop very quickly.

Closely related to those are cloud-based solutions like SaaS (Software as a Service), IaaS (Infrastructure as a Service), and DCoD (Data Center on Demand). SaaS and IaaS will help you realize savings in acquisition and maintenance costs for software and hardware, while DCoD?s scalable services allow you to request for additional capacity, power and storage only as you need them, thus making you spend only according to your current infrastructure requirements.

Like we said, there are many, many options out there just waiting to be tapped.

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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