Tag Archives: Digital Transformation

How To Fight Challenges Of Big Data

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- Mansi Priya, Marketing, Trivone Digital

The greater the obstacle, the more glory in overcoming it ~ Molière

Whenever we fight a challenge with a good strategy, the outcomes are fabulous. Everything in this world has pros and cons, so we should cut down the problems and extract the benefits. In my last article we discussed about what Big Data is, its benefits and the various challenges it brings along. Today we shall discuss how to fight those challenges to make this essential tool, a priceless asset and not a liability.

bigdata

The major challenges of Big Data are, Data Volume, Talent Gap, Performance, Technical complexity, Security and Cost. These are some of the major challenges faced by users and organisations of almost every industry/ sector. If we are able to solve these 6 issues, majority of the Big Data problems will diminish.

Data Volume Solution: The data is growing at an exponential rate and it is important to extract relevant data. It is necessary to identify source of your data as well as devise strategy to maintain and control it. There are many companies that master in Data Management. The trick is, discover potential for creating/ optimising data volume strategy, provide monitoring and reporting capabilities for technical KPI’s and compliance check for corporate Data Volume Strategy.

Talent Gap Solution: Content discovery & management is a primate for Big Data management. To discover and manage the relevant content, highly skilled team should be appointed. A team who is able to understand the audience being delivered as well as the technical complexities involved in data extraction. Since technological changes happen very fast, frequent training to the team should also be given for better performance.

Performance Solution: In the digital world, where delay of nanoseconds can lead to loss of sale, high operating speeds are required. The organisation should be able to cope up with the changes in IT landscape for fast reach. Latest and modern hardware as well as software should be used after monitoring the required speed. 

Technology Complexity Solution: On the internet, information is scattered on a large scale in different formats. There should be a centralised content repository and easy UI to ease the technical complexities of the data. The team appointed for data extraction should be equipped with essential technical skills as well.

Security Solution: Security issue is a major obstacle for many companies, which prevents them from utilising the data completely. Usage of hardware and software should be reviewed thoroughly and necessary updates and extensions should be installed. Enterprises can also design personal clouds services, with hybrid services in mind to make sure future integration is possible.

Cost Solution: With new improved technology comes in a cost. The cost should be managed properly based on team appointed, profit generated and eventually cost saving from old technologies used. Smart management of operations for data extraction should be done to have the minimum cost involved. One way is the ability to compress data at the most granular level, which will not only reduce storage requirements, but also simplify the infrastructure. It depends on various companies, their projects and demands to minimize this expense. The true cost, benefit gained and utility should be evaluated thoroughly to take wise steps.

If the above given solutions are practiced, they can help organisations in a good manner to mange their issues with Big Data. Big Data has lots of benefits and encashing these benefits require a good strategy. If a company is able to utilise this information properly, it can reach great heights