Learning Big Data Analytics Skills to Make Smarter Business Decisions

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The days are gone when ‘big data’ was considered an experimental topic in business. Big data and analytics has moved to the central position of every business has become the core element of any strategic business decision. These days, each and every industry is analyzing optimum techniques, which fulfill business requirements.

Employers today want to hire people who know how to work with data. Big data is the engine driving the modern marketplace. From effective and targeting to harnessing the social media influence, anyone who could unlock big data power has a huge leg up in the current workplace, particularly when looking for a role as data analyst.

It takes a foundation in the tools, which organizations use for analyzing swaths of information. The vital tools that most data analysts use include Spark, Hive, Hadoop, Scala, Sqoop, Flume, Cassandra, MapReduce and Oozie.

WHY MASTER BIG DATA?

1. Big data creates career advancement opportunities for IT as well as other professionals. Definitely it is creating huge opportunities for IT pros who know and understand it.

2. Making sense of huge amounts of unstructured data is a necessity for today’s organizations. The current social media explosion and the computerization of every aspect of economic activity has resulted to the creation of big data. Mountains of unstructured data in the form of videos, web logs, photographs, e-mails, speech recordings and tweets, all make big data. Furthermore, computers keep getting more powerful and storage has become cheaper. Today, people could have the ability to cheaply and reliable store big data volumes, analyze them efficiently and extract business as well as socially relevant information.

3. Big data analytics skills are useful in just about any setting, which include learning environments. The digital age has seen exponential growth of data and with it, the potential of analyzing data patterns to help determine possible factors, which boost the success of learners.

4. Big data is changing how marketing and IT pros are trained. Big data is not a new specialty or suite of tools to train people into. Everyone across the board requires more formal training in statistical analysis, and must begin early in the education process. It will be valuable to develop interdisciplinary curricula around the emerging ‘data science’ concept as a way to blend elements of statistics and math and computer science.

5. Machine learning lets organizations draw from past experiences for predicting outcomes. Machine learning is equivalent to big data in the same way as human learning is similar to life experiences. Machine learning with big data duplicates the behavior at huge scales.

6. Machine learning as a Service app extend big data capabilities. However, knowledge of big data analytics proves useful to data scientists as well as other professionals in order to determine how organizations could best use data and data-mining software for translating raw numbers to actionable insights.

7. Knowledge of big data analytics is useful in a lot of roles, including the C-suite. Big data and analytics represent a big chance for business leaders today. Leverage insights and value of the work done in data science for transforming an organization. Executives equipped with a working knowledge of data science could massively boost marketing, build operating efficiencies, create new business models, disrupt competitive status quo of an industry and spark innovation.

8. Data sets could solve major business issues, but the complexity, size and diversity of raw data makes it a challenge for a lot of companies to make use of data in meaningful ways. Digital data could be obtained from images, social media, sensors and audio recordings and electronic data often is quite available as real-time data streams.

THREE WAYS BIG DATA COULD INFLUENCE DECISION-MAKING

1. Real-time data to boost customer engagement and retention. One of the most critical areas on which organizations should deliver metrics nowadays is customer service. Companies have been using data in real time to provide one-on-one personalized services and solutions to customers.

2. Boost operational efficiency. Companies these days are leveraging data to automate processes, boost overall efficiency and optimize selling strategies of businesses.

3. Increased capacity minus extra investment. Consider increase in customer based without extra resource allocation. Big data analytics could reduce network errors, boost customer experience, optimize resources through analyzing data in real-time. This helped a brand achieve a 90 percent increase in the delivery rate.

As more enterprises move towards a data-based decision-making approach, it’s integral that companies foster learning and invest in their employees to have value-added certifications in the domain. Organizations have to take initiatives in sponsoring employees for training programs that are relevant on analytical techniques and tools, which would arm their teams with the skills and knowledge needed to leverage data for an informed decision-making.

Big data skills could help stay relevant and contribute to the growth of a business organization, whatever the industry may be.

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