The Predictions for Future of Data Analytics

    Big data and data analytics continue to take more space into the business world. There are continuous developments and innovations that revolve around data analytics and its applications into different business fields. The question that continues to linger is that; will this field of data continue to rise? Will there be aptitudes dedicated to settling these issues? Will it provide solution to all the primary information gaps? Are a portion of the inquiries in a presumption of the people taking a shot at information analysis?

An article by Forbes, discusses a couple of predictions that define the future of Data Analytics. These include:

1. The data sizes will continue increasing. It is evident that the data sizes will continue to increase over time into the future. This is fuelled by the increased use of handheld systems as well as Internet-associated gadgets.
2. Advancement in data analyzing methods and systems: As argued by Ovum, although SQL still exists, Spark is taking over the world of data analysis.
3. More self-sufficient data analysis will be invented. For instance the use of Microsoft MSFT +0.68 as well as Salesforce have come up with structures that enable those with non-coding skills to efficiently view business data by use of the applications.
4. Prescriptive analytics will be incorporated into the analytics software used in businesses. According to IDC, by the year 2020, a big portion of the business analytics software will inhibit the desired intelligence.
5. Real-time data streaming marks the front-runners and trademark of the data, as explained by Forrester. Programs such as Spark and Kafka will enable the users to make decisions inn real-time.
6. Machine learning, as stated by Gartner, heightened in 2016. Further, Ovum predicts that machine learn9ing will fall a critical tool in data research as well as predictive analysis in the business world.
7. Privacy will become a major issue of concern as a result of developments in big data. This will be heightened by the execution of the new privacy regulation set by the European Union. This will lead to organizations using the ‘elephant in the room’ for their privacy procedures and controls. In connection, Gartner predicts that by the year 2018, half of business violations related to moral will be associated to data.
8. The need for chief data officers will rise. According to Forrester, the role of a CDO will be relevant in the short term. This means that as more developments some into play, there will be less demand of these officers.
9. There will be rise in what Gartner refers to “Autonomous agents and things”. These include; autonomous vehicles, smart advisers, counting robots and computer-generated personal assistants.
10. According to IDC, the roles of analysts and scientists will be replaced overtime by those of designers and data management specialists.
11. As a result of using big data, companies will employ new strategies. For instance, they will use the recruitment process and internship to solve any staff problems they may encounter, argues the International Institute of Analysis.
12. The use of data models in the service industry will increase. According to Forster, more organizations are likely to monetize their data over time. This is evident from the gain of -0.10% observed from the weather channel.
13. The market for algorithms will grow tremendously. This will be fuelled by the realization that a company can easily buy an algorithm in place of the normal program and use their data. Moreover, data services such as Kagel, algorithms and data shu are expected to show significant growth.
14. The new buzzword in the industry will be knowledge technology. The link between cognitive computing and analytics will grow to synonymy to most companies, just like the relationship between data and analytics.
15. According to Forrester, all companies will be data oriented. This means that companies will use their data to pay value and revenue.
16. The International Institute of Analyzes predicts that by 2020, companies that use data will realize profits of approximately $430 billion compared to those that do not use data.
17. Big data will be replaced by executable data and rapid data. Experts argue that when it comes to data, large is not preferable and also companies tend to focus more on the usability of the data they hold, whether it’s big or not.

It is noteworthy that these are only predictions from data specialists, institutions and experts. Only time will tell if they will come to pass. However, one major fact is that big data will only grow overtime. This means that organizations that are focused on being successful will have to embrace data analytics and apply it appropriately. The world of information technology can only grow better, given the innovations that storm the industry on a dynamic and continuous manner.

 

The Source:
https://www.forbes.com/sites/bernardmarr/2016/03/15/17-predictions-about-the-future-of-big-data-everyone-should-read/#e68aff71a32d