Introduction to Matrix Management

A leader is responsible to empower his people and get the best out of them. Yet an organisational structure can either help or hamper performance. Worst, it can make or break success.

Looking at the fast-changing world of the global economy, whatsoever slows up and obstructs decision-making is a challenge. Hierarchical management is rather unattractive and functional silos are unlikable. Instead, employees desire to create teams equipped with flexibility, cooperation and coordination.

Recognising that companies have both vertical and horizontal chains of command, the matrix model is created. The concept of this principle lies in the ability to manage the collaboration of people across various functions and achieve strategic objectives through key projects.

Consider this scenario:

Ian is a sales executive of a company. His role is to sell a new product under the supervision of a product manager. The manager is expert about the product and she is accountable to coordinate the people across the organisation, making sure the product is achieved.

Moreover, Ian also reports to the sales manager who oversees his overall performance, monitors his pay and benefits and guides his personal development.

Complicated it may seem but this set-up is common to companies that seek to maximise the effect of expert product managers, without compromising the function of the staffing overhead in control of the organisation. This is a successful approach to management known as Matrix Management.

Matrix Management Defined

Matrix management is a type of organisational management wherein employees of similar skills are shared for work assignments. Simply stated, it is a structure in which the workforce reports to multiple managers of different roles.

For example, a team of engineers work under the supervision of their department head, which is the engineering manager. However, the same people from the engineering department may be assigned to other projects where they report to the project manager. Thus, while working on a designated project, each engineer has to work under various managers to accomplish the job.

Historical Background

Although some critics say that matrix management was first adopted in the Second World War, its origins can be traced more reliably to the US space programme of the 1960’s when President Kennedy has drawn his vision of putting a man on the moon. In order to accomplish the objective, NASA revolutionised its approach on the project leading to the consequent birth of ?matrix organisation?. This strategic method facilitated the energy, creativity and decision-making to triumph the grand vision.

In the 1970’s, matrix organisation received huge attention as the only new form of organisation in the twentieth century. In fact it was applied by Digital Equipment, Xerox, and Citibank. Despite its initial success, the enthusiasm of corporations with regards to matrix organisation declined in the 1980’s, largely because it was complex.

Furthermore, the drive for motivating people to work creatively and flexibly has only strengthened. And by the 1990’s, the evolution of matrix management geared towards creation and empowerment of virtual teams that focused on customer service and speedy delivery.

Although all forms of matrix has loopholes and flaws, research says that until today, matrix management is still the leading approach used by companies to achieve organisational goals.

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Top 10 Disadvantages of Spreadsheets

Fraudulent manipulations in company Excel files have already resulted in Billion-Dollar losses. The main underlying reason behind this spreadsheet vulnerability is the inherent lack of controls, which makes it so easy to alter either formulas, values, or dependencies without being detected.


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1. Vulnerable to Fraud

Of all the spreadsheet disadvantages listed here, this is perhaps the most damaging. Fraudulent manipulations in company Excel files have already resulted in Billion-Dollar losses. The main underlying reason behind this spreadsheet vulnerability is the inherent lack of controls, which makes it so easy to alter either formulas, values, or dependencies without being detected.

2. Susceptible to trivial human errors

While fraud will always be a threat to spreadsheet systems, there is a more significant threat that should make you seriously consider getting rid of these outdated systems. And that is its extreme susceptibility to even trivial human errors. Missed negative signs and misaligned rows may sound harmless.

But when they damage investor confidence or cause a considerable loss of opportunity amounting to millions of dollars (Are we serious? Google up ?spreadsheet horror stories? to find out), you should understand that it?s time to move on to better alternatives.

3. Difficult to troubleshoot or test

So how about testing spreadsheets to mitigate the risks of items 1 and 2? Good luck. Spreadsheets just aren?t built for that. It?s not uncommon to have interrelated spreadsheet data scattered across different folders, workstations, offices, or even geographical locations.

Worse, even if you are able pinpoint the locations of every related file, tracing the logic of formulas from one related cell to another can take ages. It?s pretty obvious now how you?ll also encounter a similar problem when troubleshooting questionable data.

4. Obstructive to regulatory compliance

Combine items 1, 2, and 3, and what do you get? A big headache impacting regulatory compliance. There are number of regulations that have a serious impact on the use of spreadsheets.

Some of the many regulations that impact spreadsheet systems include:

And to think it looks like regulatory bodies are just getting warmed up. Over the last two decades, we’ve seen a surge in regulations that directly affect spreadsheet-based systems. Now, you tell me that you haven?t wished there was a better way to beat regulatory compliance deadlines. Well, if you?re still using spreadsheets, then there certainly is a better way.

5. Unfit for agile business practices

We’re now in an age when major changes are shaping and reshaping the business landscape. Mergers and Acquisitions, Management Buyouts, earthquakes, tsunamis, hurricanes, uprisings, climate change, new technologies, and so on. If your business is not agile enough to adapt to such changes, it could easily be left behind or even face extinction.

Spreadsheets are normally created by individuals who have not the slightest know-how regarding software documentation. In the end, spreadsheet files become highly personalised user developed applications. So when it?s time for a new person to take over as part of a large scale business change, the newcomer may have to start from scratch.

Read further about Implementing Large-Scale Business Change

 

6. Not designed for collaborative work

Planning, forecasting, budgeting, and reporting are all collaborative activities. In other words, plans, forecasts, budgets, and reports typically require information from different individuals belonging to different departments. In addition, the final documents are a result of multiple exchanges of data, ideas, and files.

Now, if your company?s offices are scattered throughout the country or if certain team members are separated by large distances, the only way to exchange data stored in spreadsheets is through email.

Experience will tell you that such a method of exchange is susceptible to duplicate and even erroneous data. Team members will tend to find it hard to keep track of similar files going back and forth, and sometimes even end up sending the wrong version.

7. Hard to consolidate

When it comes to simple data entry and quick ad hoc data analysis tasks, spreadsheets are highly favoured by end users. This has made them one of the most ubiquitous office tools on the planet. But as a consequence, data in spreadsheet-based systems are distributed throughout the organisation.

So when it’s time to generate reports, you’ll really have to go through a slow consolidation process. In most cases, end users would have to collect data from different files, summarise them, and submit the same to their department heads through emails, portable storage media (e.g. CDs or USB flash-drives), or by copying to a commonly shared network folder.

Department heads would have to undergo a similar process before submitting them to their own superiors. This has to go on until all the information reaches their organisation’s top decision makers. Throughout the entire consolidation process, data is subjected to numerous error-prone activities such as copy-pasting, cell entry, and range specification.

8. Incapable of supporting quick decision making

In a spreadsheet-based environment, extracting data from different departments, consolidating them, and summarising the information so that it could aid the company’s top brass in making sound decisions can be very time consuming.

And because we know how susceptible spreadsheets are to errors, everyone involved in the information processing has to be ultra careful to keep the integrity of the data intact. Hence it would be prudent to enforce double-checking as much as possible.

This extra but necessary exercise can further delay the process. So, when the final information arrives at the hands of the top executive, he may not have much time to work with. (Read about Business Intelligence)

9. Unsuited for business continuity

As mentioned earlier, data in spreadsheet systems are never kept in a single place. In fact, it’s the exact opposite. The worse thing about it is that they’re always in the hands of non-IT personnel, who are understandably not familiar with storage and backup best practices.

Thus, if a major disaster strikes, full data recovery can be very difficult if not impossible. As a consequence, even if the company has financial reserves, the absence of data (e.g. accounts receivable records, customer records, and inventory) to work on can prevent the company from making a quick restart.

10. Scales poorly

As an organisation grows, data in spreadsheet-based systems get more distributed; subsequently compounding the issues outlined above. It is absolutely not advisable for a large organisation to keep using spreadsheets.

 

More Spreadsheet Blogs

Spreadsheet Risks in Banks

Top 10 Disadvantages of Spreadsheets

Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry

How Internal Auditors can win the War against Spreadsheet Fraud

Spreadsheet Reporting – No Room in your company in an age of Business Intelligence

Still looking for a Way to Consolidate Excel Spreadsheets?

Disadvantages of Spreadsheets

Spreadsheet woes – ill equipped for an Agile Business Environment

Spreadsheet Fraud

Spreadsheet Woes – Limited features for easy adoption of a control framework

Spreadsheet woes – Burden in SOX Compliance and other Regulations

Spreadsheet Risk Issues

Server Application Solutions – Don’t let Spreadsheets hold your Business back

Why Spreadsheets can send the pillars of Solvency II crashing down

 

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What GDPR Means in Practice for Irish Business

The General Data Protection Regulation (GDPR) is a European directive aimed at ring-fencing consumer data against illegal or unnecessary access. There is nothing to discuss or debate with local politicians, or the Irish Data Protection Commissioner for that matter. As a European directive, it has over-riding power. To obtain an English version, please visit this link, and select ?EN? from the table of languages.

As you reach for your tea, coffee or Guinness after sighting it, you will be glad to know the Irish Data Protection Commissioner has the lead in turning this into business English we understand. The following diagram should assist you to obtain a quick overview of the process we all have to go through. In this article, we briefly describe what is inside Boxes 1 to 12. The regulation comes into force on 25 May 2018 so we have less than a year to get ready.

The 12 Essential Steps to Implementing the General Data Protection Act

1. Create awareness among your people of what is coming their way. The GDPR has given our regulator discretion to dish out fines up to ?20,000,000 (or 4% of total annual global turnover, whichever is greater) so there is determination to make this happen.

2. Become accountable by understanding the consumer data you hold. Why are you retaining it, how did you obtain it, and why did you originally collect it. Now you know it is there, how much longer will you still need it? How secure is it in your hands, have you ever shared it?

3. Open a communication channel with your staff, your customers, and anyone else using the data. Share how you feel about how accountable you have been with the information in the past. Explain how you plan to comply with the GDPR in future, and what needs to change.

4. Understand the personal privacy entitlement of the subjects of the information. They have rights to access it, correct mistakes, remove information, restrict its use, decline direct marketing, and copy it to their own files. What needs to change in your systems to assure these rights?

5. Issue a policy for allowing consumers access to their information you hold. You must process requests within a month, and you may not charge for the service unless your cost is excessive. You may decline unfounded or excessive demands within your policy guidelines.

6. Adapt to the requirement that you must have a legal basis for everything you do with, and to consumer data. You need to be in a position to justify your actions to the Irish Data Protection Commissioner in the event of a complaint. Having a legitimate interest is no longer sufficient.

7. Ensure that consumer consent to collect, use, and distribute their data is ?freely given, specific, informed, and unambiguous.? From 25 May 2018 onward, this consent will be your only ground to do so. You cannot force consent. Your benchmark becomes what the GDPR says.

8. Issue rules for managing data of underage subjects. This is currently under review and we are awaiting results. Put systems in place to verify age. Set triggers for where guardians must give consent. Make sure age is verifiable. Use language young people understand.

9. Introduce a culture of openness and honesty, whereby breaches of the GDPR are detected, reported, investigated, and resolved. You will have a duty to file a GDPR report with the Data Protection Commissioner within 72 hours, thus it is important to fast track the process.

10. Introduce a policy of conducting a privacy assessment before taking new initiatives. The GDPR calls for ?privacy by deign?, and we need to engineer it in. This may be the right time to appoint a data controller in your company, and start implementing the GDPR while you have time.

11. You may also need to appoint a data protection officer depending on the size of your business. Alternatively, you need to add managing data protection compliance to an employee?s duties, or appoint an external data-protection compliance consultant.

12. Finally, and you will be glad to know this is the end of the list, the GDPR has an international flavour in that multinational organisations will report into the EU Lead Supervisory Authority. This will manage the process centrally while consulting national data authorities.

The GDPR is a project we all need to complete. If we are out of line, it is in our interests to get things straightened out. Once everything is in place, the task should not be too onerous. Getting there could be the pain.

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The General Data Protection Regulation & The Duty to use Encryption

The General Data Protection Regulation, abbreviated to GDPR, raised a storm when it arrived. In reality, it merely tightened up on existing good practice according to digital security specialists Gemalto. The right to withhold consent and to be forgotten has always been there, for example. However, the GDPR brings a free enforcement service for consumers, thus avoiding the need for third party, paid assistance.

The GDPR Bottom Lines for Data Security
Moreover, the GDPR has penalties it can apply, of the order that might have a judge choking on his wig. Under it, data security measures such as pseudonymisation (substitution of identifying fields) and encryption (encoding including password protection) have become mandatory. Businesses must further respect their client data by:

a) Storing it in a secure environment supported by robust services and systems

b) Having proven measures to restore availability and access after a breach

c) Being able to prove frequent effectiveness testing of these measures.

The General Data Protection Regulation places an onus on businesses to report any data breaches. This places us in a difficult situation. We must either face at least a wrist slap upon reporting failures. Alternatively, pay a fine of up to ?10 million, or 2% of total worldwide annual turnover.

The Engineered Weak Link in the System
Our greatest threat of breach is probably when the data leaves our secure environment, and travels across cyberspace to an employee, stakeholder, collaborator, or the client themselves. Since email became open to attack, businesses and individuals have turned to sharing platforms like Dropbox, Google Drive, Skydrive, and so on. While these do allow an additional layer of password protection, none of these has proved foolproof. The GDPR may still fine us heavily, whether or not we are to blame for the actual breach.

How Hacking is Approaching Being a Science
We may make a mistake we may regret, if we do not take hacking seriously. The 10 worst data hacks Identity Force lists are proof positive that spending lots of money does not guarantee security (any more than having the biggest stock of nuclear weapons). We have to be smart, and start thinking the way that hackers do.

Hacker heaven is finding an Experian or a Dun & Bradstreet that may have shielded 143 million, and 33 million consumer records respectively, behind a single, flimsy cyber-security door. Ignorance is no excuse for them. They should simply have known better. They should have rendered consumer data unreadable at individual record level. The hackers could have found this too demanding to unpick, and have looked elsewhere.

How Data Encryption Can Help Prevent Hackers Succeeding
Encrypting data is dashboard driven, and businesses need not concern themselves about it works. There are, however, a few basic decisions they must take:

a) Purge the database of all information held without explicit permission

b) Challenge the need for the remaining data and purge the nice-to-haves

c) Adopt a policy of encrypting access at business and customer interfaces

d) Register with three freemium encryption services that seem acceptable

e) After experimenting, sign up for a premium service and be prepared to pay

Factors to Consider When Reaching a Decision
Life Hacker?suggests the following criteria although the list is a one-size-fits-all

a) Is the system fast, simple, and easy to operate

b) Can you encrypt hidden volumes within volumes

c) Can you mass-encrypt a batch of files easily

d) Do all other files remain encrypted when you open one

e) Do files automatically re-encrypt when you close them

f) How confident are you with the vendor, on a scale of 1 to 10

It may be wise to encrypt all the files on your system, and not just your customer data. We are always open to a hack by the competition after our strategic planning. If we leave the decision up to IT, then IT, being human may take the easy way out, and encrypt as little as possible.

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