What is Big Data Analytics?

Big Data Analytics is a field of study to analyze the data involved in the business or the data world in general so that proper conclusions can be made. These conclusions can be used to predict the future or to forecast the business. Also, this helps in creating a trend about the past. Skilled professionals in statistics and engineering with domain knowledge are needed in the analysis of big data as the data is huge and analysis needs proper determination and skill set. This data is more complex that it cannot be dealt with with traditional methods of analysis.

Why is it important?

We can use this big data to process and draw some meaningful conclusions out of it. There are various frameworks available to process big data. The below list provides the framework that we follow and is also widely acceptable.

1. Data Visualization

You need to drop Excel and start using proper Data Visualization Tools like Tableau, Power BI, Qlik, etc automating hours of manual work and also making it less prone to human errors. We have extensive knowledge of and experience with these tools so you don’t have to hire another professional or retrain your staff.

2. Data Science

It’s important to analyze your raw data in different ways. It gives you an insight into your customers, their buying patterns, social media trends, etc, and even a new insight into your company’s business processes. This makes decision making a lot more informed and leaves little room for error while planning.

3. Artificial Intelligence

There are many business processes that can be automated using AI. For instance, raising invoices, customer experience using chatbots, tracking deliveries, etc. Investing in AI has saved companies millions of dollars and with it becoming increasingly accessible, you shouldn’t miss out on it either.

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