HOW HARD IS DATA ANALYTICS?

What is data analytics?

The term ‘analysis’ in the term ‘data analysis’, refers to the procedure of breaking something into its separate individual components for the purpose of individual scrutiny and examination. Data analysis is actually the process of obtaining the raw data and thereby converting it into useful and important information that is necessary for decision-making by the users. The data which has been collected is analyzed for answering questions, disproving theories or testing hypotheses.

The process of inspecting, purifying, transforming and modeling huge amounts of data with the sole objective of identifying useful information and data that helps in the process of drawing conclusions and decision-making is known as data analytics. There are multiple and numerous approaches and facets to data analysis which encompass a diverse methodology under various names used in different types of scientific, business and socially scientific domains. In the modern era, data analysis plays an extremely important and essential role in making any form of decisions much more scientific than without its implementation, and thus helps the respective business enterprises to conduct their proceedings and operate much more effectively than ever before.

Types of data analysts:

An individual working as a data analyst can be working across a wide range of areas such as the following:

·       Data assurance

·       Business intelligence

·       Data quality

·       Finance

·       Marketing

·       Sales

·       Higher education

Difficulty level:

If an individual is highly analytical, has strong mathematical skills and is curious and inquisitive at the same time, then he/she is perfectly suited for a career in data analytics.

The ability of being able to pay attention to details, communicating properly as well as being highly organized are absolutely essential skills to pursuing a career in data analytics. The requirement is not only to understand the data, but also to be able to provide analysis and insight through clear written, visual and verbal communication.

Responsibilities:

While working as a data analyst, the individual would have to undertake the following duties and responsibilities:

·       Identifying the areas for the purpose of increasing the efficiency and the automation of processes

·       Setting up and maintaining automated data processes

·       Identifying, evaluating as well as implementing external tools and services for the purpose of supporting cleansing and data validation

·       Producing and tracking key performance indicators

·       Developing and supporting key performance indicators

·       Developing and supporting reporting processes

·       Developing records management procedures and policies

·       Monitoring and auditing data quality

·       Gathering, understanding and documenting the detailed business requirements by using appropriate tools

·       Designing and carrying out surveys and analyzing the survey data

·       Manipulating, analyzing and interpreting complex sets of data related to the business of the employer

·       Preparing reports for the external and internal audience through the use of business analytical reporting tools

·       Creating graphs, dashboards and visualizations

·       Providing competitor and sector benchmarking

·       Analyzing and mining large sets of data, drawing valid influences and presenting them successfully to the management with the use of a reporting tool

Resource box:

People can pursue a career in data analytics with any kind of degree as long as they possess the relevant skills and requirements for filling into the respective posts. Post graduate degrees in the field of data science are getting more popular day by day. There are several data analytics courses of different kinds that are being provided to both students and professionals all around the world.