What do you mean by Data Analytics?

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Data Analytics refers to the process of collecting, organizing, interpreting and extracting the useful insights from the raw facts and figures in the huge amounts of data generated by a business on a daily basis. The main responsibility of the data analyst is to translate the burgeoning data into useful perceptions and then into valuable information, assisting the organizations to make smart decisions based on data instead of relying on instincts.

How important is Data Analytics?

In today's world, accumulation and storage of the massive amount of data streaming into an organization's databases has become a concern. Volumes have increased to millions and millions of gigabytes. Companies have moved far from just directories, datasheets, and documents.

But at the end of the day, it is almost impossible to analyze and interpret all this data. This data includes not only text but videos, photos, sound recordings and sensor data.

The data streaming into an organization's data warehouses is increasing at an exponential pace and is expected to grow by up to 50 zettabytes by 2020. A zettabyte is over 931 million gigabytes! Each and every action we do online leaves a digital trace. Every single action we make when we go online such as online shopping, chatting with the friends through social media applications or using GPS equipped smartphones generates data which businesses mine for information. We basically leave digital footprints with every action we take digitally involving the use of the internet.

The amount of data generated is growing rapidly and this requires the use of advanced technology and tools specifically designed for the analysis and interpretation of this enormous amount of data. This is where data analytics come to the rescue. The thorough and in-depth analysis of this "Big Data" requires the use of data analytics software such as Python, SAS, R and Hadoop which were developed specifically for handling Big Data.

Data analysis using these tools with mathematical and statistical algorithms will further assist an organization with developing good decision-making processes and allow it to respond to customer queries rapidly, resulting in an increase in goodwill for the organization. The high accuracy in Big Data analysis also ultimately helps the organizations to increase profits and lower costs.

Developing new products based on ongoing market trends can be done only when Big Data is accurately and precisely analyzed. Customer satisfaction matters a great deal if a business wants to be successful and popular with its target audience. The market trends and customer preferences must be analyzed properly and specifically so as to develop products which are trendy and acceptable to the target audience. The data findings may even assist companies in taking advantage of new market revenue opportunities and ultimately improve customer satisfaction, thereby enhancing the operating efficiency and profitability of the company.

Just remember that data analytics is no longer an option or alternative. It has become the lifeblood of every business.

"DATA ANALYTICS IS THE LIFELINE OF EVERY BUSINESS TODAY."

'Analytics' is probably the new word being used when discussing hot topics in business. Data or business analytics is all about the collection, processing, analysis and interpretation of data in order to derive insights. Data is collected from various sources and is processed in specified ways. Various questions are developed on the information and answers are found. The data analyst position offers a handsome salary and requires a skilled candidate who can work with the increasingly complex data.

THE EVER INCREASING SCOPE OF ANALYTICS

There is an ever increasing amount of raw information. Almost every field we examine incorporates huge quantities of data with which the companies need to work. Everything from retail shops to hospitals, schools, hotels, small scale factories to big production houses, educational institutes, sports and entertainment incorporates a huge quantity of unprocessed information which needs to be processed and interpreted in order to arrive at a meaningful result. An upward trajectory has been seen in recorded number of jobs available for the job profile of data scientist. Candidates for data scientist positions need to have deep knowledge of how to deal with raw facts and figures and should be either certified or trained by a well-known, reputable institute. Knowledge data analytics courses london of appropriate analytic tools and software are not enough. Candidates should choose a particular sector or field and should have deep knowledge of analytics associated with their chosen sector.

THE REVOLUTION BROUGHT BY E-CLASSES

With the advent of computers and the internet there is nothing to hinder a student from learning. The best application the internet ever had is in the education system. There are thousands of online courses which are reaching individuals in far off places. E-classes have brought about a real revolution in the educational field. Online courses and training programs from well-known companies have increased the number of students dramatically. There are many pros to online certification courses such as you determining what time of day you take the class. You can be comfortable in your home learning what you want.

The best thing about online certification courses and training is that there is a highly trained faculty. You can actually choose whose lectures you wish to attend online. There are more than a thousand students enrolled for such e-courses and training, so special emphasis and effort is made to provide the best faculty. There are a certain number of lectures covering all what you need to know. These e-learning and training programs have fees which are comparatively much lower than that charged by ordinary schools and universities for offline classes.

With the ever increasing scope of analytics, there are many e-learning sites which are popping up almost every day to educate and train today's youth to do the jobs in this field. Many of them have attractive offers to get students to enroll such as deep discounts, extra classes, free trials, free papers, etc. They provide certification which is more than sufficient to fetch a decent job in this field.