Disaster Recovery

Because information technology is now integrated in most businesses, a business continuity plan (BCP) cannot be complete without a corresponding disaster recovery plan (DRP). While a BCP encompasses everything needed – personnel, facilities, communications, processes and IT infrastructure – for a continuous delivery of products and services, a DRP is more focused on the IT aspects of the plan.

If you’re still not sure how big an impact loss of data can have, it’s time you pondered on the survival statistics of companies that incurred data losses after getting hit by a major disaster: 46% never recovered and 51% eventually folded after only two years.

Realising how damaging data loss can be to their entire business, most large enterprises allocate no less than 2% of their IT budget to disaster recovery planning. Those with more sensitive data apportion twice more than that.

A sound disaster recovery plan is hinged on the principles of business continuity. As such, our DRP (Disaster Recovery Plan) blueprints are aimed at getting your IT system up and running in no time. Here’s what we can do for you:

  • Since the number one turn-off against BCPs and DRPs are their price tags, we’ll make a thorough and realistic assessment of possible risks to determine what specific methods need to be applied to your organisation and make sure you don’t spend more than you should.
  • Provide an option for virtualisation to enjoy substantial savings on disaster recovery costs.
  • Provide various backup options and suggest schedules and practices most suitable for your daily transactions.
  • Offer data replication to help you achieve business continuity with the shortest allowable downtime.
  • Refer to your overall BCP to determine your organisation’s critical functions, services, and products as well as their respective priority rankings to know what corresponding IT processes need to be in place first.
  • Implement IT Security to your system to reduce the risks associated with malware and hackers.
  • Introduce best practices to make future disaster recovery efforts as seamless as possible.

We can also assist you with the following:

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The Connection between Big Data and MDM

Master Data is information that is critical to your business. This could include contracts, proprietary information, intellectual capital and a whole lot more besides. Because this often reposes in a variety of different places, you need a master data management / MDM policy to control it. That way, you can link it all together in a single, secure, backed up file.

This Sounds Like Big Data

Not necessarily: big data refers to extremely large data sets that are best stored and analysed on a cloud using big technology, in order to uncover trends, patterns and associations often relating to human behaviour. Of course, if you run a niche restaurant your critical master data might be limited to a few recipes and the books you do not care to show your accountant.

The distinction is largely a question of size: think of your master data as the subset of big data that you already have your mind around. According to John Case of IBM this is probably already in a structured format and available to share. He goes on to present a cogent case for using this as a peg point around which to systematise the rest. This is because the average organisation already has master data recording customers? and prospects? behaviour.

Do I Still Need My Master Data?

Yes you do, because real people created it with the benefit of human insight. Retain it as a separate set. Then compare it with the results of big data processing for even richer insights. Two heads are better that one and that goes for data processing too.

Trends in CRM Big Data

Adding data via location-aware devices like smartphones and tablets is adding a new dimension to customer information. We now know where they were when they made the enquiry or punched in the information. Use this geo-location data to hone the way you interact with customers and service their accounts. Do not phone a customer who makes decisions at work when they are at home.

Does My Master Data Belong on a Cloud?

There are a number of ?ifs? to consider. How comfortable are you with your service provider. What would happen if someone hacked their server? There are many advantages to cloud technology. Denizon knows of solutions you can rely on, and makes sure its clients have contingency plans to protect them at all times.

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Without Desktop Virtualisation, you can’t attain True Business Continuity

Even if you’ve invested on virtualisation, off-site backup, redundancy, data replication, and other related technologies, I?m willing to bet your BC/DR program still lacks an important ingredient. I bet you’ve forgotten about your end users and their desktops.

Picture this. A major disaster strikes your city and brings your entire main site down. No problem. You’ve got all your data backed up on another site. You just need to connect to it and voila! you’ll be back up and running in no time.

Really?

Do you have PCs ready for your employees to use? Do those machines already have the necessary applications for working on your data? If you still have to install them, then that’s going to take a lot of precious time. When your users get a hold of those machines, will they be facing exactly the same interface that they’ve been used to?

If not, more time will be wasted as they try to familiarise themselves. By the time you’re able to declare ?business as usual?, you’ll have lost customer confidence (or even customers themselves), missed business opportunities, and dropped potential earnings.

That’s not going to happen with desktop virtualisation.

The beauty of?virtualisation

Virtualisation in general is a vital component in modern Business Continuity/Disaster Recovery strategies. For instance, by creating multiple copies of virtualised disks and implementing disk redundancy, your operations can continue even if a disk breaks down. Better yet, if you put copies on separate physical servers, then you can likewise continue even if a physical server breaks down.

You can take an even greater step by placing copies of those disks on an entirely separate geographical location so that if a disaster brings your entire main site down, you can still gain access to your data from the other site.

Because you’re essentially just dealing with files and not physical hardware, virtualisation makes the implementation of redundancy less costly, less tedious, greener, and more effective.

But virtualisation, when used for BC/DR, is mostly focused on the server side. As we’ve pointed out earlier in the article, server side BC/DR efforts are not enough. A significant share of business operations are also dependent on the client side.

Desktop virtualisation (DV) is very similar to server virtualisation. It comes with nearly the same kind of benefits too. That means, a virtualised desktop can be copied just like ordinary files. If you have a copy of a desktop, then you can easily use that if the active copy is destroyed.

In fact, if the PC on which the desktop is running becomes incapacitated, you can simply move to another machine, stream or install a copy of the virtualised desktop there, and get back into the action right away. If all your PCs are incapacitated after a disaster, rapid provisioning of your desktops will keep customers and stakeholders from waiting.

In addition to that, DV will enable your user interface to look like the one you had on your previous PC. This particular feature is actually very important to end users. You see, users normally have their own way of organising things on their desktops. The moment you put them in front of a desktop not their own, even if it has the same OS and the same set of applications, they?ll feel disoriented and won’t be able to perform optimally.

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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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