WASHINGTON, January 20, 2016 — In modern world business intelligence is one of the fastest growing areas. Big data is everywhere, and there is urgent need to preserve and collect whatever data is being generated, for fear of missing out on something important. Currently, there is a large amount of data floating around and what matters is what we do with it. It is not only technology that is moving fast, but also the techniques used to drive different options to get value from big data are multiplying. This makes big data analytics frontiers of information technology. Analysis of big data has become crucial for improving business decision-making, answering deeper questions and providing a significant edge over competitors.
In 2015, there was a significant change in business intelligence, and more people see data analytics as a valuable tool that get their work done. This article highlights top trends in data analytic jobs for 2016.
Visual Analytics Will Become a Common Language
Conversation is being changed by data, whether it is in boardrooms, social media or media. People are exploring questions by visualizing their data and uncovering insights they share with both experts and non-experts. As data usage continues to grow, more people are likely to turn to data for both personal and professional questions. Employers will be seeking candidates who can draw insights and think critically about data. Visual analytics will empower people to reach insights quickly, build a community around data, and enhance collaboration meaningfully, thus serving as a common language.
Data Product Chain Will Become Democratized
Self-service analytic techniques and tools have changed people’s expectations. In 2016, more people will seek empowerment across the data continuum. For a business to stay relevant, it will need more data analytics. A democratization of data will enable people to respond quickly to shifting priorities. For this reason, the demand for self-data analysis tools and self-service data warehouse will grow, which means natural growth of data analytics experts.
Data Analytics Will Become a Factor in Decision-Making
Data analytics for many companies is a critical competitive resource. According to “analytic advantage” survey, 96 percent of the respondents felt that within the next three years data analytics will become imperative in their organization. This was inferred from the fact that there is a vast amount of data that has not yet been used, and only rudimentary analytic has been done. Forty-nine percent of the respondents actively viewed data analytics as a critical factor that will inform strategic initiatives and decision-making.
Soaring Demand for Data Analytics Professionals
The significance of data analytics professionals has been stressed by the fact that data is useless without analysis skills. Compared to previous years, there will be more job opportunities in data analytics and big data management in the future. IT professionals should be prepared to invest time and money in the training. A graph from indeed.com proves that big data analytic job trend is growing; as a result, there is a steady increase in employment opportunities.
Salary Aspect Improvement
Data analytic skills are in high demand, and that is boosting the wages of qualified professionals. It is a trend that is being witnessed globally with countries like the UK and Australia being affected most. The Institute of Analytic Professionals of Australia (IAPA) published a skills and salary report in 2013, which showed that the average salary for data analytics experts was twice the average Australian full-time salary. In India data analytics professionals earn 50 percent more than other IT professionals.
Data Analytic Use in Various Industries
Numerous Types of Data Analytics and Choices in Job Title
From a career perspective, there will be many options regarding the nature of jobs as well as domain. Data analytics job titles can range from data analytics for a business consultant to data solution architect. Also, one can choose data analytics from different data environments. It may include prescriptive, predictive and descriptive analytics.
Rise of Semi-Structured and Unstructured Data Analytics
A peer research survey clearly indicates that unstructured and semi-structured data analytics is experiencing massive growth. Eighty-four percent of the respondents mentioned that they were currently analyzing and processing data sources using OLAP reporting that includes web logs, e-mail, social media and video.
Data Analytics Will Top Priorities for Many Organizations
Big data analytics is regarded as the highest priority for many organizations, for it is believed it improves the performance of an organization. Big data analytics employ Hadoop reporting that is used by an organization to come up with specific business insights and recognizing market and sales opportunities.
Huge Job Opportunities to Meet Skills Gap
The demand for analytic power is steadily growing up. However, supply data analytics is experiencing massive deficit. There are two types of the expected shortfall: analytics consultants, who understand and use the data, and data scientists, who can perform analytics. Global organization are outsourcing data analytic talents due to acute scarcity, and demand is expected to increase in 2016.
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