Data and analysis have really transformed the industries and organizations all over the world. There have been some of the massive paradigm shifts in data management strategy; let us check out the top 7 trends for the upcoming year:

1. Automation in Data Analysis

Automation has turn out to be quite highly favored in a number of industries for improving net productivity and achieve business goals. In the upcoming year, you will witness about 40% growth in the automation of analytics. With increased automation, the net productivity of businesses is sure to improve as well as increase the broader usage of data. It is a matter of fact that automation is considered one of the highly favored parts in any business and large corporations. With this trend, decision-makers will get better assistance from analytics and it will be highly helpful in driving decisions.

2. IoT meets Analytics

As per the predictions, it is very likely to expect more than 20 billion functional IoT devices all over the world. It is a matter of fact that more than a few large organizations have already started implementing IoT in their day-to-day operations. This integration has also given them positive results in capturing better data than earlier. In the upcoming year, you will come across a better merger of IoT and Data Analytics at a larger scale. However, many organizations will not be able to join the leading bandwagon for the shortage of professionals in this field.

3. IMC

You can also expect one more trend in the upcoming 2020 that will revolutionize the computing industry. In-memory computing is likely to commence next year as the cost of the memory has been gradually decreased in recent years. For this reason, in-memory computing has been one of the mainstream technological solutions for a number of reasons. The costs and intricacy of taking up IMC are being abridged by the new-fangled persistent-memory expertise, a new memory stage that is positioned in the middle of NAND flash memory and dynamic RAM. It makes available for highly operational mass-memory to sustain high-performance assignments. This is extremely valuable to organizations, as they necessitate not only much quicker CPU performance, but also faster storage and greater amounts of memory. The application of this resolution is much more controllable, many businesses are accepting IMC to help expand both application performance and make available for a great prospect for yet to come scalability.

4. Rise of DaaS

It is anticipated that up to 90% of large establishments will be producing some sort of income from DaaS in 2020. DaaS is a cloud-based expertise that lets customers entrée into digital archives via the internet. In present times, the internet has become much cheaper as well as accessible to customers. The service is now open to a wide range of spectators. The globalization of DaaS will also back in connecting breaches in the middle of sections within the bigger administrations that requisite to share data but at present do not have the capability to do so. DaaS will make data management strategy and EIM Consulting strategy instantaneously faster and stress-free, thus refining efficiency inside the association.

5. Growth of Augmented Analytics

Augmented Analytics is one the rise and it would turn out to be one of the dominant method in use in the upcoming year. It has completely shaken up the analytics field by the combination of AI techniques and Machine Learning in order to create a new-fangled way of instigating, developing, sharing and using analytics. It is expected that the market will grow from $8.4 billion in the year 2018 to almost 418.4 in the year 2023. It is a matter of fact that augmented analytics has almost become a part of business analytics. The reimbursements of augmented analytics contain the capability to mechanize a lot of analytics competencies like groundwork, examination, and building of mockups. The intuitions made will be much laid-back and easy to interrelate. Watch out for these big data trends in the coming year.

6. Safekeeping and Confidentiality of Data

In the next year, it has been predicted that there will be increased use of backups and snapshots for better safety and reliability. Even though many establishments hold big capacities of backed up data encompassing individual and subtle information, they have no purpose of using it. By the next year 2020, privacy danger in the form of archived individual data will be the main worry for 70% of administrations. It is recommended that IT specialists should consider this forecast when selecting products to renovate or allocating funds for the approaching years.

7) Personal Assistance Technologies

There would be a drastic change likely to take place in the next years. It has been predicted that close to 5% of people beyond 65 years of age will have their personal healthcare system in the guide of robots. This would be the most influential Big Data trends.