The Impact of Big Data In Business, Past and Future

The Impact of Big Data In Business, Past and Future

Big Data In Business- With the online world now being the biggest market space for businesses worldwide, Big Data is proving to be their most powerful tool-set to own and use. Almost all websites and applications track user browsing movement to record and later analyze user requirements and choices. The technology of big data includes not only collecting data, but also understanding and analyzing it  to create user behavioral patterns. Only, then it can be made useful for businesses. Big data application developments pave the way to develop next level market research, prototype developments, product development and evolution, user acquisition and marketing tools. Thus, most of the businesses are looking out to use the technology of ‘big data’ in newer, more innovative forms.

The Initials of ‘Big Data’

Collecting data is not a new concept, but the way it is handled is new and further evolving by the day. Earlier data was stored in in-house data storage units that required a lot of physical space. This data was analyzed by technologies like the RDBM’s and other database management systems wherein data was stored in the form of tables and arrays that was then retrieved using queries. With increase in data, these technologies went on to become redundant.

Owing to the large number of digital devices including computers, mobiles, iOT other devices now collecting eons of data, handling data and optimizing it for further usage had become a herculean task. Due to these reasons, big data in the past was generally only limited in use by large corporations that could actually afford the cost of storing this huge amount of data and then getting these analysis algorithms developed and employed for further usage.

Things Changed With the Onset of Cloud Technologies

Everything changed for ‘big data’ with Cloud Services. This technology has basically nullified the requirements of huge hardware for storage of continuously increasing and evolving sets of data. Apart from the data storage, even data processing algorithms are now available on clouds for easy usage. This has considerably brought down the technology usage costs and other limitations like required space. With every other business, now collecting data in the form of cookies and other tools, the data collected has been multiplying both in volumes and power.

‘We have already crossed the 1 Zettabyte Threshold. As per reports, the world will reach 2.3 Zettabytes of annual Internet traffic by 2020 ’

The Geo Sync Data with Smartphones

The newer mobile app development frameworks with their location and geo-tagging features have enabled the development of a new dimension of data that includes tracking user movements, not just digitally, but also physically; leading to the opening of a new sector of business operations. This data can much more effectively and precariously determine user behavior patterns. For instance, the Google Maps, travel websites and apps, even retail platforms are now using location data to provide customized content to the users.

iOT devices are taking Big Data’s relevance further ahead   

Everything is slowly getting digitized in our lives. This mostly includes all our various daily use appliances that can be stimulated using technology. Our televisions, washing machines, watches, light bulbs, fans and even clothes are now smart devices and thus, tracked. All these devices are a huge source of user data that again is an important part of big data developments and analysis, leading to creation of invaluable real-time behavioral patterns that are being utilized by businesses all over. For instance, when you tell ‘Alexa’ or ‘Google Home’ about the travel bookings about a certain destination, its parent company would know that you intend to visit that destination. Related information  and queries like hotel bookings could thus follow from businesses. Human sleep patterns can now be monitored for effectivity through smart wearables using Big Data statistics.

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Article Credit: Inside Big Data

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