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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  • (+353)(0)1-443-3807 – IRL
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Mobile Workforce Management in a nutshell

It is fairly common for businesses to have staff working across many different locations across the country or even the world.  Engaged in various activities like  door-to-door sales, delivery and installations, service maintenance, conducting inspections & investigations or even data collection.

Managing and co-ordinating tasks, scheduling activities, planning and monitoring activities and communicating can often be challenging.

Mobile Workforce Management is the automation of the entire end-to-end workflow management and operations of any field service workers. 

Mobile Workforce Management Synonyms

Mobile Workforce Management is also known as

  • Field Service Management
  • Job Scheduling Software
  • Job Management Software

Advantages of Mobile Workforce Management

It is increasingly clear that there needs to be a certain sense of discipline and streamlining of field operations and important to automate certain tasks within field sales and operations, primarily because it helps you to track your assets remotely and ensuring contact with your workforce when required. Enabling your team to get in touch when required.

Most importantly, engineers, sales representatives and customer care executives can easily send information, scan receipts, Invoice customers and retrieve other crucial information in a standardized and streamlined manner. Assisting in regulating your business and also bringing some order to what is usually a very chaotic mode of working.

Why choose Mobile Workforce Management

Work Force Management tools help you to stay in control. They assist in automating what can and should be automated leaving only the crucial human-human interactivity. Helping you to keep a record of all interactions and important data within a database, without you having to manually go through sales receipts, complaint slips and other such details.

A Field Force Management tool is a time-saver and efficiency tool for companies. Moreover, these tools help to automate several aspects of your day to day operations, leading to an increase in productivity and motivation.

Streamlining operations, will also ensure that important stakeholders are well informed and management visibility is enhanced. Helping your business to make smarter decisions and help serve your customers better.

Field Force Management is similar to an Enterprise Resource Planning (ERP) solution but is vastly different. It is specifically targeted at staff that work on the field and is intended to make their and your work more streamlined, transparent and easy to track.

Cloud based solutions help you automate

 Field Force Management is usually cloud based which means all data is stored and accessible on secure cloud servers. There is no question of losing important data or not being able to retrieve something important. If something goes missing, there will usually be a backup available. Field force management tools include the software, the hardware and also the kind of training that is required for users to use it efficiently.

The software usually helps in saving and processing information while the hardware helps employees to enter important data into devices while they are on the job. Sometimes, field force solutions can also be a mobile app which negates the need for a specific or special device.

This is very important when it comes to field jobs as carrying different devices can prove to be a cumbersome job. At the end of the day, field force solutions are meant to reduce the burden on staff and not actually inadvertently increase it.

Denizon?s FieldElite Mobile Workforce management application provides significant improvements in efficiency and service with a switch to digital working and the elimination of paperwork.

All the information that is stored on the cloud can be run through analytics software so that you get the kind of reports that you are looking for to improve your business.

Field Force Management Process

A field force management tool helps you to remain in contact with your staff while they are at work on the field. This helps you to track your personnel in real time. Field personnel or your staff can log in and enter their attendance using a smartphone. You can assign that particular day?s task remotely using a web console or your own smartphone.

Next, they can carry out whatever duties they need to while you get all the alerts that you set to receive. This helps to increase transparency. You can choose to receive alerts on your phone or on your desktop.

Finally, staff can tag completed tasks with audio and images, instead of they having to type reports. This helps to focus more on the job than on job reporting. Last but not the least, location tags help you to ensure that the job is done at the right place. Your staff will not be able to take your generosity for granted.

All in all, a field force management tool helps you to track and control your staff without you having to be physically present with them and this is the beauty of this tool.

Summary

Field Force Management helps companies to reduce administration expense and improve productivity. This helps to automate data integration which is usually done with the help of cloud servers. Moreover, you can set invoice parameters that help you to also keep track of stocks, inventories and engage in P.O. and task management.

A number of field force management users also use it as a tool to engage in credit management. Banks and insurance companies particularly find this tool helpful as payments can be received on the job, instead of asking customers to pay online or offline. This also helps in building valuable customer relationships and enhance loyalty.

Thirdly, a field force management tool helps to increase planning efficiency. This means, you will be able to allocate tasks and optimize routing. All this helps to increase your ROI at the end of the day and get back the money you invest on field force management.

Finally, you will have more control over productivity and sales thanks to automation of data collection. You will also have more control over the execution of tasks and that will invariably make your company leaner and smarter.

The Better Way of Applying Benford’s Law for Fraud Detection

Applying Benford’s Law on large collections of data is an effective way of detecting fraud. In this article, we?ll introduce you to Benford’s Law, talk about how auditors are employing it in fraud detection, and introduce you to a more effective way of integrating it into an IT solution.

Benford’s Law in a nutshell

Benford’s Law states that certain data sets – including certain accounting numbers – exhibit a non-uniform distribution of first digits. Simply put, if you gather all the first digits (e.g. 8 is the first digit of ?814 and 1 is the first digit of ?1768) of all the numbers that make up one of these data sets, the smallest digits will appear more frequently than the larger ones.

That is, according to Benford’s Law,

1 should comprise roughly 30.1% of all first digits;
2 should be 17.6%;
3 should be 12.5%;
4 should be 9.7%, and so on.

Notice that the 1s (ones) occur far more frequently than the rest. Those who are not familiar with Benford’s Law tend to assume that all digits should be distributed uniformly. So when fraudulent individuals tinker with accounting data, they may end up putting in more 9s or 8s than there actually should be.

Once an accounting data set is found to show a large deviation from this distribution, then auditors move in to make a closer inspection.

Benford’s Law spreadsheets and templates

Because Benford’s Law has been proven to be effective in discovering unnaturally-behaving data sets (such as those manipulated by fraudsters), many auditors have created simple software solutions that apply this law. Most of these solutions, owing to the fact that a large majority of accounting departments use spreadsheets, come in the form of spreadsheet templates.

You can easily find free downloadable spreadsheet templates that apply Benford’s Law as well as simple How-To articles that can help you to implement the law on your own existing spreadsheets. Just Google “Benford’s law template” or “Benford’s law spreadsheet”.

I suggest you try out some of them yourself to get a feel on how they work.

The problem with Benford’s Law when used on spreadsheets

There’s actually another reason why I wanted you to try those spreadsheet templates and How-To’s yourself. I wanted you to see how susceptible these solutions are to trivial errors. Whenever you work on these spreadsheet templates – or your own spreadsheets for that matter – when implementing Benford’s Law, you can commit mistakes when copy-pasting values, specifying ranges, entering formulas, and so on.

Furthermore, some of the data might be located in different spreadsheets, which can likewise by found in different departments and have to be emailed for consolidation. The departments who own this data will have to extract the needed data from their own spreadsheets, transfer them to another spreadsheet, and send them to the person in-charge of consolidation.

These activities can introduce errors as well. That’s why we think that, while Benford’s Law can be an effective tool for detecting fraud, spreadsheet-based working environments can taint the entire fraud detection process.

There?s actually a better IT solution where you can use Benford’s Law.

Why a server-based solution works better

In order to apply Benford’s Law more effectively, you need to use it in an environment that implements better controls than what spreadsheets can offer. What we propose is a server-based system.

In a server-based system, your data is placed in a secure database. People who want to input data or access existing data will have to go through access controls such as login procedures. These systems also have features that log access history so that you can trace who accessed which and when.

If Benford’s Law is integrated into such a system, there would be no need for any error-prone copy-pasting activities because all the data is stored in one place. Thus, fraud detection initiatives can be much faster and more reliable.

You can get more information on this site regarding the disadvantages of spreadsheets. We can also tell you more about the advantages of server application solutions.

A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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