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It is an exciting time for conducting business operations that utilizes technology to add value to your customer’s expectation and delivery of service. All over the world, technology is being juxtaposed upon out of box thinking. As a result, we see small yet interesting streams of innovation flowing from various quarters all around the globe. Be it the rise of mobility, the value proposition of cloud computing, or even the growing influence of social media on business fortunes, it is truly awe-inspiring to see the emergence of these technology disruptions that didn’t even exist some 15-20 years back.
Whatever be the means, the end objective has always been to capture newer territories and grow business. One key business driver has been the way opportunities in tech evolution can be utilized to serve our customers better, by uncovering insights from seemingly random pieces of data. This is precisely where big data comes into the picture and changes things radically for business owners and IT heads across the world.
As is evident, big data helps you unravel gold standard insights that help drive your business further. However, beneath the hype and hoopla around big data, is the very real need for a radical shift in work culture and technological infrastructure. Both of these crucial factors are found to be severely wanting in many organizations looking to tap into the rich value offered by big data. In this scenario, it will not be uncommon to face the possibility of a crushing data disaster in form of data outage, data corruption, or loss of data.
Do you too agree?
If your answer is ‘Yes’, then it’s time to take matters in your hands and ensure that you have a well-defined, clearly laid out, disaster recovery plan for your valuable and voluminous big data. Just having ‘Big Data’ as a buzzword flying around in your office without concrete plans to protect its structural and inherent integrity will be nothing but a white elephant proposition for your business.
A very interesting experiment was undertaken by Lockwood Lyon to understand organizational preparedness for big data disaster mitigation and recovery. He managed to uncover some startling facts:
This is precisely where most thought processes deviate from the obvious USP of big data – i.e. it is mission critical enough to drive the fortunes of business. Imagine these steps that shows how the stocks of big data continues rising from the initial set up of big data infrastructure, till it becomes absolutely essential for management decision making –
Step#1 – Your organization will setup big data analysis engine as a new initiative.
Step#2 – Your business analysts start utilizing the system by deluging the system, with their queries on data collected through processes such as data crawling.
Step#3 – Out of the many, many queries, comes some valuable information that guides the top management in reducing costs, improving margins, or enhancing efficiencies. They can now frame revised growth objectives bolstered by the presence of the on-site big data system.
Step#4 – The resulting value encourages analysts to pour in more queries and more number crunching. These single-run queries now take shape of valuable and clearly defined processes to be carried out weekly or monthly; its value increasing with each iteration.
Step#5 – This way, the management gradually becomes dependent on big data for their success in operations and strategies. This aids the management to classify this engine or system as mission critical to their revised growth plans.
Thus, considering the endgame, it is necessary to consider big data as mission critical and ensure concrete steps are taken to prevent issues with big data integrity in the event of a data disaster.
Below are some key points to consider when setting up big data disaster recovery and management:
The involvement and adoption will be hesitant from them initially, but don’t lose hope, because this is the foundation to your disaster management initiative success. You will see that they will eventually support this planning and preparation process when they witness the immense value provided by a properly planned big data disaster management process.
These pointers will help you ensure that your big data continues to denote integrity, accuracy, and relevance to help management with insight-based decision making. Do write in to us and let us know what consideration have you factored in for ensuring the safety of your hard earned big data insights.
Interested to protect your big data against unplanned situations? Then connect with us today and we will be glad to assist you with our industry expertise.
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