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Looking Ahead: The Future of Data Analytics & Data Analysis in 2019

The quantity of data created today from all industry fields, also known as big data is large, including data analysis, data gathering, and data implementation method. Over the years, big data analytics trends are evolving, from a departmental strategy to business-driven data strategy, embracing agile technologies and an increased focus on advanced analytics. Business enterprises […]

Dat Analytics and Analysis Course

The quantity of data created today from all industry fields, also known as big data is large, including data analysis, data gathering, and data implementation method. Over the years, big data analytics trends are evolving, from a departmental strategy to business-driven data strategy, embracing agile technologies and an increased focus on advanced analytics. Business enterprises require executing the right data-driven big data analytics trends to stay ahead in the competition.

The never-ending stream of information is valuable to the business, but it can also be a challenge to draw actionable insights from a large data pool of data which may be unstructured. Even with these roadblocks, there’s no denying the fact that big data offers business tremendous opportunities for growth, which has lead to increase in demand for data analysis training course.

 In this article, we will discuss the future of Analytics that will be the talk of the technology world in 2019 and beyond.

1.      Predictive Analytics

Predictive Analytics provides customized insights that drive organizations to create new customer responses and purchases and promote cross-sell opportunities. Predictive Analytics aids technology to integrate into various domains like healthcare, automotive, finance, aerospace, hospitality, pharmaceuticals, retailing and manufacturing industries.

2. Dark Data

Dark data in technology is the digital information that is presently not in use for business analysis. This data is obtained through different computer network operations which are not used in a manner to obtain insights for decision-making. As analytics and data become daily perspectives of organizations, there is an elevated need to understand that any data left unexplored is an opportunity lost and may lead to a possible security risk. 

3.      CDOs in Demand

The profile of the Chief Data Officer (CDO) has developed and human resource personals are scouting for specialists who can fill this trendy job role. To fill this role, you can join data analytics course. Though in demand, CDO is still a comparatively new concept to various companies. Companies have understood that they need to hire a CDO, so if you are a data leader managing enterprise-wide data cleaning, visualization, analysis, and studying intelligent insights, CDO may be the work profile for you.

4. Quantum Computing

Tech giants like Microsoft, IBM, Google, and Intel, race against each other to work rigorously in a bid to create the first quantum computer. Quantum Computing facilitates weather prediction, seamless data encryption, solving difficult medical problems, real conversations and excellent financial modeling to make companies develop algorithms, quantum computing components, applications and software tools on qubit cloud services.

 

5.      Open Source

2019 will see more free data and software tools to become accessible on the cloud. Start ups and Small organizations alike will benefit most of this data trend in 2019. Open source analytical languages like R, a GNU project related with statistical computing and graphics has seen a huge adoption credit to the open source wave.

 

Conclusion

With such trends believed to predominate in the coming year, the future for innovation and business looks radiant. Like Big Data, Data Science will witness massive use and development in the upcoming year. The digital and physical world will frequently get intertwined. Digital experience will get more intricately incorporated into human experiences. With these leading trends which are expected to persist, the field of data science is expected to see exposure and development beyond measure.

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