Firewalls

There are two main reasons why some companies are hesitant to plug into the Internet.

  1. They know they’ll be exposing their company data to outside attacks from malicious individuals and malware.
  2. They fear their employees might get too many distractions: games, porn, chats, videos, and even social networking sites.

One vital component for your overall security strategy against such concerns? A firewall.

A firewall can block unauthorised access to certain Internet services from inside your organisation as well as prevent unauthenticated access from the outside. It is also used to monitor users’ activities while they were online.

In an enterprise setting, one may expect a collection of firewalls either for providing layered protection or segmenting off different units in the organisation. Some areas only need a standard line of defence while others require more restrictions. As such, certain firewalls may have different configurations compared to others.

Naturally, the more intricate an organisation’s defence requirements get, the more complex the task of monitoring, testing and configuring the firewalls becomes. That’s why we’re here to help.

  • We’ll evaluate your network as well as the security requirements of each department under your organisation to determine which firewall architecture is most suitable.
  • To achieve maximum efficiency, we’ll point out where each firewall should be positioned.
  • We’ll work with your key personnel to make sure all firewall configurations are set and optimised with your business rules in mind.
  • If a large number of firewalls are required, we’ll help you set up a firewall configuration management system.
  • Firewalls should be regularly tested and assessed to ensure they are in line with the organisation’s security policies. We’ll perform these routine tasks as well.

Firewalls aren’t very good at defending against sophisticated viruses. There are much better solutions for malware-related vulnerabilities, and we can help you in that regard too.

Other defences we’re capable of putting up include:

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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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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.

The Connection Between Six Sigma and CRM

Six Sigma is an industrial business strategy directed at improving the quality of process outputs by eliminating errors and system variables. The end objective is to achieve a state where 99.99966% of events are likely to be defect free. This would yield a statistical rating of Sigma 6 hence the name.

The process itself is thankfully more user-friendly. It presents a model for evaluating and improving customer relationships based on data provided by an automated customer relations management (CRM) system. However in the nature of human interaction we doubt the 99.99966% is practically achievable.

Six Sigma Fundamentals

The basic tenets of the business doctrine and the features that set off are generally accepted to be the following:

  1. Continuous improvement is essential for success
  1. Business processes can be measured and improved
  1. Top down commitment is fundamental to sustained improvement
  1. Claims of progress must be quantifiable and yield financial benefits
  1. Management must lead with enthusiasm and passion
  1. Verifiable data is a non-negotiable (no guessing)

Steps Towards the Goal

The five basic steps in Six Sigma are define the system, measure key aspects, analyse the relevant data, improve the method, and control the process to sustain improvements. There are a number of variations to this DMAIC model, however it serves the purpose of this article. To create a bridge across to customer relationships management let us assume our CRM data has thrown out a report that average service times in our fast food chicken outlets are as follows.

<2 Minutes 3 to 8 Minutes 9 to 10 Minutes >10 Minutes
45% 30% 20% 5%
Table: Servicing Tickets in Chippy?s Chicken Caf?s

Using DMAIC to unravel the reasons behind this might proceed as follows

  • Define the system in order to understand the process. How are customers prioritised up front, and does the back of store follow suit?
  • Break the system up into manageable process chunks. How long should each take on average? Where are bottlenecks most likely to occur?
  • Analyse the ticket servicing data by store, by time of day, by time of week and by season. Does the type of food ordered have a bearing?
  • Examine all these variables carefully. Should there for example be separate queues for fast and slower orders, are there some recipes needing rejigging
  • Set a goal of 90% of tickets serviced within 8 minutes. Monitor progress carefully. Relate this to individual store profitability. Provide recognition.

Conclusion

A symbiotic relation between CRM and a process improvement system can provide a powerful vehicle for evidencing customer care and providing feedback through measurable results. Denizon has contributed to many strategically important systems.?

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