Big data analytics has entered every market space today. Data is a precious resource and big data completes the value of data. Here is an article on Big Data Analytics in daily lives.

The role of Big Data Analytics in Daily Lives

1) Log analysis

Log data is an important information source that determines business and operations KPIs. Log analysis was complex and time-consuming with the advent of big data. However, big data analytics solutions enable better data organization, data retrieval, data processing, and data analysis. The enhanced log search features help operation teams discover data and metadata insights.

2) Personalization in e-Commerce, video platforms, ads

Browsing the internet, video platforms, and e-commerce websites contribute to big data. Consequently, internet search history and internet cookies help websites to understand the interests of the website visitor. Websites show relevant content as website visitors keep visiting the sites often. Thanks to Big Data Analytics solutions, the website learns a lot about the visitor’s interests and delivers tailored content. Besides, customized ads are available on the website depending on the visitor’s interests.

3) Efficient recruitment with Big Data Analytics in Daily Lives

Recruitment had always been a job for employers, but not for long. Employers have started to use AI/ML-based recruitment solutions to find the best candidates. These solutions look out for matching keywords in the candidate resumes to speed up the recruitment. Big Data Analytics solutions enable 360-degree profiling of candidates. Also, the recruitment solutions check the profiles of ex-employees who succeeded during their tenure and suggest candidates.

4) Insurance fraud detection

Financial organizations keep innovating with the large amounts of financial transactions handled every day. For this reason, the data collected is used in profiling claimants and highlighting the ambiguity in registered claims. Gone are the days of running complex SQL queries from claim data and waiting to get the results. Big data solutions help insurance agencies process and pull data into a search engine and analyze the data using natural language queries on a GUI. Besides, the solutions analyze the fraud patterns and warn the investigators proactively.

5) Price optimization with Big Data Analytics in Daily Lives

Big data analytics solutions are useful in optimizing the prices of products in the eCommerce space. The product prices are adjusted according to customer demand, competitor pricing, market popularity, and festival days. Also, the analytics solutions consider product selling history and market history.

6) Recommended social media content and relevancy

A long-time back Facebook had the option of displaying all the posts by time (recently posted first). But now that feature is history. Facebook displays the posts according to their relevance, trends, and engagement. Besides, all social media networks use the AI/ML feature to showcase to viewers the top and relevant content. Similarly, the comments in a social media post are filtered according to relevancy, and other less-relevant comments are hidden.

Big data keeps growing and companies have started to harness the data power in different ways. Also, the data is delivered in the best way to ensure 100% customer relevance. Consequently, modern data analytics solutions need big data technologies. Are you a company looking for specific big data analytics solutions? Check out Deevita’s big data analytics services and see how you can leverage your business data. Request a FREE demo today.