Companies are using this perspective on data, though in a much more serious sense. Data analytics is offering advantages to businesses from the commencement of a startup, promoting expansive growth, and blasting them into large, impressive companies. IT and other skilled technology experts at big firms such as Tesla, Google and Uber, have leveraged the power of data analytics to break into different markets, grow stronger relationships with consumers, and streamline methods such as marketing management and supply chain.

In this post, let us discuss the main technologies that enable data analytics, increasing importance of data analytics and why everyone loves it.

Key technologies that enable Data Analytics for business:

• Predictive Analytics
• NoSQL Databases
• Knowledge Discovery Tools
• Stream Analytics
• In-memory Data Fabric
• Distributed Storage
• Data Virtualization
• Data Integration
• Data Preprocessing
• Data Quality

Increasing importance of data analytics

Every organization makes attempts to gather data, for instance, by observing its competitor’s performance and sales figure in order to become more competitive. But, no one can become accustomed to the customer’s behaviors and competitors’ performance without having the skills to interpret all that data.

Every business makes efforts to collect data, for instance, by examining its competitor’s performance and sales figure in order to become more competitive. But, no individual can become comprehend client's behavior and competitors performance without having the required ability and skill to interpret the data. Thus, data analytics is a must for making effective and efficient decisions. If you do not have the required analytics skills, then you can obtain so by opting for Data Analytics Course. Data analytics is what helps businesses to manage their positions in the market compared to competitors.

Data analytics empowers us to evaluate the customer's satisfaction level and their requirements to come up with the innovative and latest products and services that offer more satisfaction to them. Therefore, we can say that data analytics is critical for the success of the business.

Why Everyone loves Data Analytics

Today, Data analytics is everywhere and the need for collecting and storing any data that is being generated is very important. Why it is important is because Data analytics aids in improving the business and decision makings. For professionals who have a good knowledge on Data analytics, there's a pool of opportunities. Let’s discuss some of the Reasons why Data Analytics is the next big career move:

1. Increasing Need of Data Analytics Professionals: The need for data analytics professionals is increasing each year and IT engineers are ready to invest their time and money to learn more about data analytics.
2. Huge Job Opportunities: Even though there are many job opportunities for data analytics professionals, most of them are unfilled because of the scarcity of skilled professionals. Presently, India has the largest concentration of analytics globally. In spite of this, the lack of data analytics talents is especially severe and is expected to be on a high as more corporations will be outsourcing their jobs.
3. Salary Aspects: The strong demands for data analytic experts are boosting the wages for qualified data analytic professionals. In fact, Data Analytics pays big amounts for the right skill.
4. Top priority in lot of Organizations: Most of the organizations consider Data Analytics as one of the top priorities in the upcoming days. Approximately 45% of the surveyed believed that Data Analytics will bring more precise business insights.
5. Many choices in job titles and Analytics Types: From a career point of view, there are various options available; like

• Big Data Engineer
• Big Data Solution Architect
• Analytics Associate
• Big Data Analytics business consultant
• Big Data Analytics Architect
• Metrix and Analytics specialist

Data analytics is too costly to be ignored by any business. Businesses produce expansive data every day, and to understand that data is to understand the current state of a business and where it needs to be headed.