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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How AI Helps Improve Field Service

Its seems that with the current rate of technological innovation that these is something new every single day.  Therefore, you’re always looking forward to a new technological innovation that’s going to help you make your business operations more efficient and automated.

One of the most fascinating milestones in the field of technology is the integration of Artificial Intelligence (AI) in business. In one way or the other, AI gives a glimpse of machine supremacy that allows computers to perform tasks that were initially performed by humans. 

Are machines going to completely replace people in the workplace?

Of course, not.  Technologies like AI and Machine Learning are designed and meant to support employees in doing their tasks too boost their productivity.

AI is predominantly used to eliminate jobs and tasks that humans find boring, demotivating or monotonous. In some cases AI is also used to do jobs that are considered dangerous for humans to preform.

Previously the most common implementations for AI were all about gaming, entertainment, and advanced science,  now it’s spreading into a number of industries including the field service industry.

FieldElite – Field Service Software , can help you optimise the day-to-day operations of your business.

AI in field service management will enhance you business capabilities with:

  • Information Sharing
  • Real Time Updates
  • Automated Workflows
  • Digital Form Data Collection
  • Data Analysis

Improved Customer Service

For Service Based companies, customer retention is vital. Primarily because It can be 5-25 times more costly to acquire a new customer than it is to retain an existing ones.

Therefore customer retention should be a primary focus.? The good news is that by making use of AI you can implement services It can be 5-25 times more costly to acquire a new customer than it is to retain an existing one.

Staying on top of and ensuring you satisfactorily address and meet you customer demands and expectations can be a daunting task.? It can also be an expensive one,? especially for small field service based businesses like :

  • Heating & Plumbing Engineers
  • Electrical Contractors
  • Fire Safety Inspectors
  • HVAC Engineers
  • Facility Management
  • Building, Construction & Trade

Implementing Artificial Intelligence and Machine Learning to automate mundane and repetitive customer administration tasks will enable your staff to be free to provide additional value added tasks for your customers. Making your customers happier.

?Think about the active Chatbots. You can always get complaints directly from customers and address them right away.??

If at any point the customer is unhappy with your services, they can always raise the issue via the Chatbots. Since the bots contain necessary customer information, you can always get back to them and fix the issue at hand.?

With AI in field service, you can solve problems before they arise, or what is otherwise known as predictive maintenance,? In that way, you’ll have better customer relations because you’ll be able to address your customer concerns before they even become aware of them.

Improved Productivity

Scheduling tasks and managing the workforce isn’t a walk in the park. It goes beyond assigning tasks to your team members in the field and giving them deadlines to meet. Whether it’s a small firm or a big organisation, it’s quite difficult to organise the workforce.?

However, adopting Artificial Intelligence can iron out the difficulties most field organisations face in scheduling and managing tasks. Some years back, most firms relied on human intelligence to dispatch jobs to the right people based on given conditions. This was quite difficult, especially that it wasn’t always successful. But thanks to AI. With field service apps like FieldElite scheduling tasks and managing workforce is only a few clicks away.?

What’s more? There?s no room for error. Therefore, you’ll always match the right people for the job. Again, your team will always get tasks on time. That means, the job completion rate will go up, and hence the workforce becomes more productive.?

Predictive Maintenance

Usually, most business operations are based on ?solve the problem as it occurs?, which is just OK. However, it’s not always safe to wait until a problem occurs so that you solve it. Prevention is better than cure, and that’s why Artificial Intelligence comes handy in Field Service.

Using FieldElite Workforce Management Software , you don’t have to wait until something breaks.? Utilizing AI in field service enables you to proactively address field service needs and prevent unforeseen failures and interruptions.?

The ability to predict field service needs through field service apps like FieldElite enables you to make more accurate forecasts. In this way, resource planning is made easier, and as such, you’ll have smoothly running workflows. Again, by taking care of unforeseen circumstances in advance, you’re flexible enough to take care of the unexpected. And that means the overall productivity of your business will go up.

Job Management

Most field service jobs involve multiple stages that can take several days to complete. In addition to this, more often than not, you have to coordinate lots of equipment and contractors at the same time. All these can’t be achieved solely by human efforts. For more successful outcomes, it’s important to incorporate Artificial Intelligence in your field service operations.?

FieldElite is the field service solution that can help you manage sophisticated tasks. The app is packed with field service management tools that enable you to assign complicated tasks and keep track of your field techs. For long-cycle jobs, FieldElite app enables you to follow up on the activities going on the field to ensure they’re completed.?

With AI, there?s no room for error even when the jobs become more sophisticated.

Data Analysis

?

Field service industry involves lots of data. Some years back, organisations depended on human intelligence to analyse big data. Well, things still worked out, but as a human is to err, the outcome wasn’t always perfect. However, with Artificial Intelligence data analysis, 100% accuracy in data analysis is achievable. Field service solutions like FieldElite provide sophisticated data analytic tools that enable you to crack massive data and offer accurate solutions.?

FieldElite data analytics capabilities give you an insight into what’s not working and what needs to be improved. In that way, you can always address matters arising and take care of the loopholes.?

It’s time to go paperless with field management software like FieldElite if you?d like to make your business more profitable. Apart from improving the productivity of your workforce, incorporating AI in your business increases profitability. If you’re still doing your usual field rounds with a clipboard, it’s time to simplify your task with FieldElite app.?

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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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Succeed at Transformation

Despite the pomp and fanfare associated with launching corporate transformation programs, in reality very few of them succeed. According to a recent report by McKinsey the success rate is pegged below 40%. In addition, the same research indicates that defensive transformations – those undertaken as part of crisis management – have lower chances of success than progressive ones – those launched to streamline operations and foster growth. However, adopting certain strategies, like setting clear and high goals, and maintaining energy and engagement throughout the implementation phase, can really boost the project’s success rate. A key aspect of business transformation is IT transformation. This can be attributed to the fact that significant business change is either driven or influenced by technological change.

So what is IT Transformation?

IT transformation is basically a holistic reorganisation of the existing technological infrastructure that supports the company’s mission critical functions. In essence, IT transformation is not all about effecting change for the sake of change but involves systematic steps that align IT systems to business functions. To appreciate this approach, it is important to explore current trends in the business world where human resource, finance and IT transformations are being carried out in unison. This is being done to develop strong corporate centres that are leaner, agile and more productive that enhance greater synergies across all business functions.

IT transformation inevitably results in major changes of the information system’s technology, involving both hardware and software components of the system, the architecture of the system, the manner in which data is structured or accessed, IT control and command governance, and the components supporting the system. From this scope of works it is evident that IT transformation is a huge project that requires proper planning and implementation in order to succeed.

Tips to Improve Success in IT transformations Projects

1. Focus on Benefits not Functionality

The project plan should be more focused on benefits that can be accrued if the system is implemented successfully rather than system functionality. The benefits should be in line with business goals, for instance cost reduction and value addition. The emphasis should be on the envisaged benefits which are defined and outlined during the project authorisation. The business benefits outlined should be clear, feasible, compelling and quantifiable. Measures should be put in place to ensure that the benefits are clearly linked to the new system functionality.

2. Adopt a Multiple Release Approach

Typically most IT projects are planned with focus on a big launch date set in years to come. This approach is highly favoured because it simplifies stakeholder expectation management and avoids the complexity associated with multiple incremental releases. However, this approach misses the benefit of getting early critical feedback on functioning of the system. In addition, the long lead times often result in changes in project scope and loss of critical team members and stakeholders. IT transformation projects should be planned to deliver discrete portions of functionality in several releases. The benefit of multiple release approach is that it reduces project risks and most importantly allows earlier lessons learnt to be incorporated in future releases.

3. Capacity of the Organisation to confront Change

As pointed out, IT transformations result in significant changes in business operations and functions. Hence it is important that all business stakeholders should be reading from the same script in regards to changes expected. In addition, key stakeholders should be involved in crucial project stages and their feedback incorporated to ensure that the system is not only functional but business focused.

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