Why learning how to analyze Data will help you irrespective of the field?

Udacity India
Aug 24, 2017 · 3 min read

Data science is big, and it’s going to be bigger. The fact itself ‘there was much more data generated in last two years than the last 5000 years’ says everything about how we are consuming data today. It is becoming crucial not just for large IT industries, but also for industries like healthcare, travel, entertainment, and gaming. It’s helping businesses understand customer needs, challenges, and insights about things that work better. Here’s is a brief look at how various industries have been using data for their success:

1) Healthcare Healthcare industries use data mining technologies like machine learning, deep learning, relational databases to extract key insights from patient’s medical history. The trends, patterns and other information help doctors identify the risk of chronic diseases and prescribe better treatment options.

2) Travel Access to faster internet, social media influence, unparalleled growth in the travel industry. Personalization being one of the top offerings, travel industry is using big data to enhance customer experience, build customer relationships, enhance recommendation process. Pricing is one of the important decision-making factors for travel customers. Smart automation of data analysis helps industries gather, index and filter real-time data from multiple sources to create perfect suggestions and forecast fare changes in future.

3) Fitness

Wondering how fitness companies can leverage fitness? Actually, they can in many ways! One of the most premium fitness company is big data to collect & analyze data on customer’s workouts, calories burned, calories consumed, and total steps in a day to act as ‘virtual coach’ to help meet their fitness goals.

4) Marketing

Knowing your customers the most important aspect of marketing. Marketers just don’t just need an abundance of insights; we need the ability to turn them into actions, and more importantly, we need to be able to automate those actions. The data collected local advertisements, social profiles, mobiles has given birth to a new era of marketing called as ‘Real-time marketing’. It helps to get a precise and accurate view into their audiences helping them understand buyer behavioral patterns. The future of marketing would be based totally on how to analyze this data generated to send relevant information. at the very beginning of buyer’s cycle.

5) Crime & Investigation
Much of the criminal investigative process is conducted through gathering evidence, which is impossible without complex data mining procedures that follow mathematical algorithms. Forensic investigators and data scientists use data science to prepare data for analysis, find crime patterns, and study the criminal mind, which assists criminal investigation agencies in arriving at quicker, correct conclusions.

6) Agriculture

Agriculture is based on various factors soil, climate, seed, cultivation methods, irrigation facilities, fertilizers, pesticides, harvesting etc.Agriculture companies analyze data to predict important factors that will impact the overall produce including weather trends, soil fertility recommendations, harvesting time, etc.

7) Banking & Finance

With the concept of Digital India and demonization, banking is becoming more digital than ever. Digital wallets and UPI are becoming a much more convenient way of transactions. Banks are using insights from data to analyze the patterns of transactions, cross sell products, detect fraudulent activities, improve screening for loans and customer retention.

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Udacity India Inc.

Official Publication account for Udacity India

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Udacity India

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Udacity provides online courses & credentials, built by AT&T, Google, etc. to teach skills that industry employers need today.

Udacity India Inc.

Official Publication account for Udacity India

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