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The world of digital information is expanding at an exponential rate. There are predictions suggesting a rapid increase in the volume of digital information. Researchers are expecting it to increase 10 times by 2020.  A completely new approach is being adopted to tackle it. Thus, this flood of data can have both favorable as well as adverse effects.

Growth in the volume

The size of the digital universe is doubling. Both humans and machines are generating information, now faster than ever. They are creating information of sizes as high as 4.4 zettabytes (1 trillion gigabytes). Active users of social media post and tweet on a continuous basis. Hence, they generate a  total of 2.5 million bits of content. Machines do not generate data which includes posts and tweets.

Through a recent research, IDC had suggested few major transformations in the digital arena. These transformations were in the form of cloud transitions, IoT and big data solutions.  Moreover, IoT and big data generate a huge amount of information. For supporting such large sizes of inputs, it is important to have a proper infrastructure at place.

Emergence of a better infrastructure

Having a better infrastructure in place leads to enhancement in the way information is stored and handled. A survey conducted with 1500 companies showed the percentage of useful information actually generated by them. Also, it suggested that companies found only 14% of the total data useful  for their business. 34% of the information is unessential and outdated and the rest (54%) is recognized as ‘dark data’.This is the information that companies collect and store, but fail to use for their business.

Cloud technology

Cloud

Cloud technology allows one to save large quantities of information. One can store all kinds of files on the cloud.  The platform can store information in huge capacities. Companies can change this capacity as and when required. But this has allowed organisations to develop a new perception about the whole technology. Therefore, managing such large amounts of information require human intervention.  Humans should know the technological challenges.  Thus, they need to understand the details of machine learning in order to come up with solutions for these challenges.

If a problem occurs in the hardware, the information stored on the cloud will still be safe. Security is maintained on every laptop or computer that the information is accessed through. Thus, there is no risk of loss of information. This has enabled the companies to trust the technology and shift valuable information on the cloud.

Big data

Big data

All the company information is collected here.  This collection may include inputs related to sales, marketing, social media, email archives etc. Companies can put these inputs to use for business purposes and for outsourcing as well.  Sourcing such inputs require installation of a strong infrastructure. Also, infrastructure requires support in the form of investments.

Sources such as sensors, applications, social media profiles etc. are used to capture information. Companies can use these tools to store and gather information. They can also collect internal information through data mining. Sources of extracting information come in the form of sales, financial and management inputs. Big data divides large volumes of data into small pieces and makes it easy to understand. It allows companies to get access to all kinds of information that is helpful for their business decisions. Simply put,big data simplifies the process of information storage.

Conclusion

Therefore, to store  large amounts of information generated through big data, shifting to the cloud is considered beneficial. Using the in-house system does not always guarantee safety and has its own limitations. Investing in cloud technology may not be feasible for the smaller companies. They can take the support of data warehousing. Cloud technology is flexible. It enables data security. This way, companies can rightly direct their valuable information onto a hassle free platform. A liability arising out of data can be transformed into an asset. After all, data is what drives the companies to make important and influential decisions for growth in the long run.

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