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Big Data Analytics is astonishingly transforming the industries and organization today. The technology has made a huge shift where businesses are adapting it to go beyond the traditional ways of analysis. The strength of data analytics is positively embraced by enterprises across the globe. It is making some remarkable changes in the decision-making landscape for branding and recruitment.
Till now, we have seen big data analytics making a massive shift in how business is being done but it would be exciting to see what the technology holds for us in the coming year. Therefore, let's have a look at top data analytics trends and predictions to watch for 2020.
Recently the automation has turned out to be highly favoured technology almost across every industry to enhance business potentials. Not much to the surprise, we can expect 40 percent of database work to get automated by next year. Hopefully, automation will also assist business leaders to efficiently see further ahead to assist in propelling their organization with the appropriate analytics to drive decisions.
By the year 2020, we can expect to witness 20 billion active IoT devices which will subsequently collect more data for analysis. In big tech organization where IoT devices have already been embraced in big operations, the leaders are seeing beyond it to also implement the assisting technology to run capable data analytics. Therefore, we are likely to acknowledge more analytics solutions for IoT devices to provide relevant data along with transparency.
Additionally, around 75 percent of companies might suffer while accomplishing matured benefits of IoT due to lack of data science professionals.
In 2020, in-memory computing is likely to get highly influential since the reduction in the cost of memory resulted in turning IMC more mainstream. Being a mainstream technology, IMC can be a great solution for a varied range of benefits in the analysis.
The latest persistent-memory technologies have led to a reduction in cost and complexity of IMC. Persistent-memory tech is a new memory tier well situated between NAND flash memory and dynamic access memory.
As the wide scale implementation of IMC solution is manageable, several industries are adopting in-memory computing to help improve application performance while providing a great opportunity for future scalability.
Expectedly, up to 90 percent of big organizations will be generating some kind of revenue from DaaS (Data-As-A-Service) in 2020. It is a cloud-based technology that enables customers to access digital files using the internet.
With high accessibility, the globalization of this technology will also support bridging gaps between departments within the larger organizations who require sharing data but currently can't do so.
Sharing data in real-time will be quicker and easier through DaaS. It will also improve productivity within the organization.
Augmented analytics is about to become dominant in the coming years. The technology has shaken up the industry by merging AI and ML techniques to create fresh ways of creating, developing, sharing and consuming analytics.
It is no at all surprising that augmented analytics have already become the most popular technology to use for business analytics. The benefits of augmented analytics include–
1. ability to automate many analytics capabilities like preparation, analysis
2. building of models, as well as the insights generated, will be much easier with which to interact.
IoT is creating new opportunities for data science and analytics. The development of Smart Cities has mandated the need for data collection as well as data processing and dissemination.
Possibly, smart cities data will assist with medical nursing and proactive health care. It has been predicted that by 2020, 30 percent of the smart cities will have introduced robotics and smart machines at the medical facility. The technology can be leveraged to provide a good user experience to residents.
The current trends with personal devices, mobile and web use showcase the possibility that by 2020 more than 50 percent of consumer mobile interactions will be experiences comprehended at contextualized and hyperpersonal that is determined by the user's past and real-time mobile behavior.
As mobile devices are being used in a variety of settings from at home to at work and many other places, and the development of all kinds of new products like IoT, wearables and immersive technologies like virtual reality.
The disruptive technologies are gradually taking over the tasks of humans with 95 percent of image and video content which expected to be audited by machines by 2020. The ECM market is expected to hit $59.87 billion by 2020.
Also, the 95 percent of content reviewed by machines is likely to never be viewed by humans rather the machines vetting content will provide detailed analyses in the capacity of supporting organizations' digital initiatives.
Subsequently, IT departments can leverage such analyses to enhance productivity and welcome new opportunities in mobile, social and cloud technologies.
As cloud storage has already become quite a popular means of safely storing digital files, currently, 30 percent of cloud vendors are using third-party solutions in the form of infrastructure as a service (IaaS) in place of running their infrastructure. The process is predicted to rise to 60 percent in the next 3 years. Also, projections for 2022 state that the hyper-scale cloud providers including Microsoft, Apple and Google will be making use of cloud-based machine learning to gain a 20 percent share of the market in platforms for data science.
The futuristic trends for 2020 say that up to 50 percent of analytical queries will be either automatically generated or generated using voice or NLP technology provided that analytics tools should be easy to use and access. This development will allow anyone in a company to analyze complex data combinations using a widely adopted and user-friendly analytics platform.
Well, the predictions and futuristic trends for 2020 are leading the development of the Big Data Analytics world. Data and analytics platforms' offerings are extremely influenced by such predictions and technology providers of these solutions will be leveraging changes based on the current forecasts.
