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Big Data and Analytics

By jack99155 ·
How big data and analytics influence the business industries?
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Adoption of big data in companies had reached 53%.

by davidharperint In reply to Big Data and Analytics

Most companies are embracing big data projects goals. While the main goal for some businesses is to enhance customer encounter, other aims include cost reduction, better-targeted promotion and making existing processes better.

Data plays a huge role in understanding valuable insights about audience demographics and customer preferences. By the end of 2017, adoption of big data in companies had reached 53%.

The growth of big data has produced a enormous market for data analytics tools that help businesses easily execute big data solutions. Expert data analysts are proficient in distributing big data into invaluable insights economically and accurately.

Below are few major industries that are shaped by big data and analytics --

1) Healthcare
2) Retail
3) Education
4) Banking, Finance, Insurance
5) Media and Communications
6) Transportation
7) Telecom

Data analytics can influence your business, too, no matter what you're doing. You simply need to figure out the huge data you need, the best way to test it, and then how you can utilize it to your advantage.

All this is now possible through various tools and platforms available in the market. Several companies are now adopting the Big data and analytics software allows to process and analyze the data for growth and development.

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Big data

by deborasumopayroll In reply to Big Data and Analytics

Big data gives you new insights that open up new opportunities and business models. Getting started involves three key actions:
1. Integrate
Big data brings together data from many disparate sources and applications. Traditional data integration mechanisms, such as ETL (extract, transform, and load) generally aren’t up to the task. It requires new strategies and technologies to analyze big data sets at terabyte, or even petabyte, scale.
During integration, you need to bring in the data, process it, and make sure it’s formatted and available in a form that your business analysts can get started with.
2. Manage
Big data requires storage. Your storage solution can be in the cloud, on premises, or both. You can store your data in any form you want and bring your desired processing requirements and necessary process engines to those data sets on an on-demand basis. Many people choose their storage solution according to where their data is currently residing. The cloud is gradually gaining popularity because it supports your current compute requirements and enables you to spin up resources as needed.
3. Analyze
Your investment in big data pays off when you analyze and act on your data. Get new clarity with a visual analysis of your varied data sets. Explore the data further to make new discoveries. Share your findings with others. Build data models with machine learning and artificial intelligence. Put your data to work.

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