Implementing Matrix Management

Matrix management is a culture change. More than the hierarchical structures, lines of responsibilities, modes of communication and channels of decision-making, it is a concept that needs to be planned ahead and managed appropriately over time.

Implementing matrix management to any organization can be confusing. It is essential to ensure that it fits right to your business strategies, skills and competencies. With this, realizing matrix management should not be taken lightly. Careful stages should be considered, instead.

Here are the steps to proper implementation of matrix management:

Consider Your Business Context

You need to evaluate your organisation to analyse what are your development needs with regards to skills, products, services and market environment. This will help you decide on what type of matrix structure you will apply in your organisation. Consider the following questions in building up your context:

  • What is our strategy?
  • Where are the demands in our business?
  • What are the structures that our competitors currently employ?
  • What are the talents that my people possess?
  • What are other business organizations doing?

Set Your Implementation Scope

Next, you need to define the parameter and set the scope of your implementation. What area in your business do you think matrix management will successfully work? There are several things that you need to consider in setting your scope. You have to make sure that it works well with your overall business strategies, that it can be excellently communicated and easily understood. Also, you must ensure that you acquire the necessary talents and skills in the business to deliver the new system of responsibilities.

Implement the New Structure

When you have already decided what structure type you will implement, you are ready to give it a go. You will need to establish new communication channels so you can monitor the progress and receive feedback effectively.

Here?s how to apply the matrix structure:

  • Highlight your development needs
  • Define roles based on outputs and not inputs
  • Line up procedures and systems to support the structure and the behaviour that comes with it.
  • Invest in training and development
  • Support the key people in the structure by coaching them to better adapt in changes
  • Communicate regularly
  • Monitor progress and make necessary adjustments

Review the Matrix Structure, Roles and Responsibilities

Organisations that successfully implement matrix management adapt to the changes in their environment. With this, they do regular evaluations to highlight the need for changes and revisions. The review can either focus on the structure only or to the entire process as a whole. The results can alter the structure, the roles involved and the responsibilities taken.

The process of implementing matrix management follows a step-by step method. Each stage is equally important with the rest. Hence, if you plan to exploit it in your organisation, you have to recognise the purpose of each step and follow it appropriately. Balance is the key. And when you achieve stability in matrix management, amidst the complex changes in the world of business, then your organisational success is just around the corner.

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9 Cloud Security Questions you need to ask Service Providers

Companies in Ireland and the UK who are considering cloud adoption might already have a general idea of the security risks inherent in cloud computing. However, since different providers may not offer the same levels of risk mitigation, it is important to know which providers can give sufficient assurance on cloud security.

Here are 10 cloud security questions to ask service providers vying for your attention.

1. Where will my data be located?

There are a variety of reasons why you will want to ask this question. One big reason is that there are certain countries that don’t have strict legislation (or any legislation at all) pertaining to cloud computing. In that case, the provider won’t be as motivated to apply high levels of risk mitigation.

So if your data is hosted off shore, then you might want to reconsider or at least conduct a deeper study regarding the security conditions there.

2. Do you have provisions for regulatory compliance?

Certain standards and regulations (e.g. PCI DSS and possibly the EU Data Protection Directive) have specific guidelines pertaining to data stored in the cloud. If your organisation is covered by any of these legislation, then you need to know whether your provider can help you meet requirements for compliance.

3. Who will have access to my data?

In a cloud environment, where your data is going to be managed by people who aren’t under your direct supervision, you’ll have to worry as much about internal threats as you would with external threats.

Therefore, you need to know how many individuals will have access to your data. You also need to know relevant information such as how admins and technicians with data access rights are screened prior to getting hired. You also need to determine what access controls are being implemented.

4. How is data segregated?

Since there will be other clients, you will want to know how your data is going to be segregated from theirs. Is there any possibility of an accidental or intentional data breach due to poor data segregation? Find out if your data is going to be encrypted and how strong the encryption algorithm is.

5. How will you support investigative activities?

Sometimes, even if strong cloud security measures are in place, a data breach can still happen. If it does happen, the provider should have ways to track each user/administrator’s activity that can sufficiently support a detailed data forensics investigation.

Find out whether logs are being kept and how detailed they are.

6. Are we protected by a Disaster Recovery/Business Continuity plan? How?

Don’t be fooled by sales talk of 100% up-time. Even the most robust cloud infrastructures can suffer outages too. But the important thing is that, when they do fail, they should be able to get up and running in the soonest time possible.

Don’t just ask about their guaranteed RPOs and RTOs. Find out whether your data and applications will be replicated across multiple sites. Unless the provider says they will be, you need to find a provider with a better infrastructure.

7. Can I get copies of my VMs?

In a cloud infrastructure, your servers are actually in the form of files known as virtual machines (VMs). Because VMs are just files, they should be easily copied. There may be issues though, like the VMs might be stored in a not-so-popular proprietary format. Another possible issue is that the provider may simply not allow copying.

Having copies of your VMs can be useful should you later on decide to transfer to another provider or even duplicate your cloud infrastructure on your own.

8. What will happen to my data when I scale down?

One outstanding benefit of cloud computing is that when your business demands drop, you can easily scale down computing resources and reduce your cloud spending. ?But what will happen to your data when you decommission virtual servers? Will they be discarded?

You might want your data to be retained up to a certain period. On the other hand, you might also want them to be deleted immediately. Ask about the provider’s data deletion/data retention policies and see if they are in line with yours.

9. What will happen to my data if I decide to close my account?

There might come a time when you’ll want to terminate your contract with your cloud provider. Just like in issue #8, you’ll want to find out more about data deletion/data retention policies.

Although some providers can give you detailed answers, many of these answers can include a lot of technical jargon that can leave you totally confused. If you want someone you can trust to:

  • simplify those answers;
  • help you pick the right cloud service provider, and
  • even make sure cloud security is really upheld once your cloud engagement is ?under way

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Knowing the Caveats in Cloud Computing

Cloud computing has become such a buzzword in business circles today that many organisations both small and large, are quick to jump on the cloud bandwagon – sometimes a little too hastily.

Yes, the benefits of the cloud are numerous: reduced infrastructure costs, improved performance, faster time-to-market, capability to develop more applications, lower IT staff expenses; you get the picture. But contrary to what many may be expecting or have been led to believe, cloud computing is not without its share of drawbacks, especially for smaller organisations who have limited knowledge to go on with.

So before businesses move to the cloud, it pays to learn a little more about the caveats that could meet them along the way. Here are some tips to getting started with cloud computing as a small business consumer.

Know your cloud. As with anything else, knowledge is always key. Because it is a relatively new tool in IT, it’s not surprising that there is some confusion about the term cloud computing among many business owners and even CIOs. According to the document The NIST Definition of Cloud Computing, cloud computing has five essential characteristics, three basic service models (Saas, Paas and Iaas), and four deployment models (public, community, private and hybrid).

The first thing organisations should do is make a review of their operations and evaluate if they really need a cloud service. If they would indeed benefit from cloud computing, the next steps would be deciding on the service model that would best fit the organisation and choosing the right cloud service provider. These factors are particularly important when you consider data security and compliance issues.

Read the fine print. Before entering into a contract with a cloud provider, businesses should first ensure that the responsibilities for both parties are well-defined, and if the cloud vendor has the vital mechanisms in place for contingency measures. For instance, how does the provider intend to carry out backup and data retrieval operations? Is there assurance that the business’ critical data and systems will be accessible at all times? And if not, how soon can the data be available in case of a temporary shutdown of the cloud?

Also, what if either the company or the cloud provider stops operations or goes bankrupt? It should be clear from the get go that the data remains the sole property of the consumer or company subscribing to the cloud.

As you can see, there are various concerns that need to be addressed closely before any agreement is finalised. While these details are usually found in the Service Level Agreements (SLAs) of most outsourcing and servicing contracts, unfortunately, the same cannot be said of cloud contracts.

Be aware of possible unforeseen costs. The ability of smaller companies to avail of computing resources on a scalable, pay-as-you-go model is one of the biggest selling points of cloud computing. But there’s also an inherent risk here: the possibility of runaway costs. Rather than allowing significant cost savings, small businesses could end up with a bill that’s bound to blow a big hole in their budget.

Take for example the case of a software company cited on InformationWeek.com to illustrate this point. The 250-server cluster the company rented from a cloud provider was inadvertently left turned on by the testing team over the weekend. As a result, their usual $2,300 bill ballooned to a whopping $23,400 over the course of one weekend.

Of course, in all likelihood, this isn’t going to happen to every small and midsize enterprise that shifts to the cloud. However, this should alert business owners, finance executives, and CEOs to look beyond the perceived savings and identify potential sources of unexpected costs. What may start as a fixed rate scheme for on-demand computing resources, may end up becoming a complex pricing puzzle as the needs of the business grow, or simply because of human error as the example above shows.

The caveats we’ve listed here are among the most crucial ones that soon-to-be cloud adopters need to keep in mind. But should these be reasons enough for businesses to stop pursuing a cloud strategy? Most definitely not. Armed with the right information, cloud computing is still the fastest and most effective way for many small enterprises to get the business off the ground with the lowest start-up costs.

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Directions Hadoop is Moving In

Hadoop is a data system so big it is like a virtual jumbo where your PC is a flea. One of the developers named it after his kid?s toy elephant so there is no complicated acronym to stumble over. The system is actually conceptually simple. It has loads of storage capacity and an unusual way of processing data. It does not wait for big files to report in to its software. Instead, it takes the processing system to the data.

The next question is what to do with Hadoop. Perhaps the question would be better expressed as, what can we do with a wonderful opportunity that we could not do before. Certainly, Hadoop is not for storing videos when your laptop starts complaining. The interfaces are clumsy and Hadoop belongs in the realm of large organisations that have the money. Here are two examples to illustrate the point.

Hadoop in Healthcare

In the U.S., healthcare generates more than 150 gigabytes of data annually. Within this data there are important clues that online training provider DeZyre believes could lead to these solutions:

  • Personalised cancer treatments that relate to how individual genomes cause the disease to mutate uniquely
  • Intelligent online analysis of life signs (blood pressure, heart beat, breathing) in remote children?s hospitals treating multiple victims of catastrophes
  • Mining of patient information from health records, financial status and payroll data to understand how these variables impact on patient health
  • Understanding trends in healthcare claims to empower hospitals and health insurers to increase their competitive advantages.
  • New ways to prevent health insurance fraud by correlating it with claims histories, attorney costs and call centre notes.

Hadoop in Retail

The retail industry also generates a vast amount of data, due to consumer volumes and multiple touch points in the delivery funnel. Skillspeed business trainers report the following emerging trends:

  • Tracing individual consumers along the marketing trail to determine individual patterns for different demographics and understand consumers better.
  • Obtaining access to aggregated consumer feedback regarding advertising campaigns, product launches, competitor tactics and so on.
  • Staying with individual consumers as they move through retail outlets and personalising their experience by delivering contextual messages.
  • Understanding the routes that virtual shoppers follow, and adding handy popups with useful hints and tips to encourage them on.
  • Detecting trends in consumer preferences in order to forecast next season sales and stock up or down accordingly.

Where to From Here?

Big data mining is akin to deep space research in that we are exploring fresh frontiers and discovering new worlds of information. The future is as broad as our imagination.?

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