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Articles

Articles

Brief Introduction to Data Science

In today's information overloaded world, the amount of data being collected is increasing drastically. Retailers collect shopping habits of customers, websites collect email addresses of visitors, social media collects images, video and audio data of users, builders collect living habits, banks collect demographic details, mobile devices collect location information of users etc. The list does not end here. It goes on and on. Data is the core of any business and organisations that fail in using their data in a smart way is not going to survive in this competitive ...

Data Mining

Why Data Mining? We are living in a data overloaded world. Just imagine the amount of data that might be getting collected in a new generation banks every second. The amount of data being collected is tremendously increasing day by day mainly due to technological advancements. Today the technology is so advanced that it is very easy and cheap to collect and store data. Having large amounts of data in databases might not be useful if the required information is not at our finger tips at the exact time we ...

Why Data is Important to Business?

What is Data? Nowadays, the amount of data getting collected by businesses is increasing tremendously. Data is a collection of facts such as values, measurements, observations etc that can be used for analysis or reference. Every swipe, click, like, tap, phone call, tweet, share, etc generates lots and lots of data. Moreover, there are many cheap and easy ways to collect and store data in today’s world of technology. Thus, the sources of data and the methods to keep the data lead to Big Data which is today’s ...

Hadoop and NoSQL

“In today’s modern computerized era we are adding in every 2 days the same amount of data that mankind has ever produced from the inception till early 21st century.“   This clearly explains how with such an accelerated rate we are generating data. Here is the most of these data comes from: Thousands of servers generating multiple lines of log Searches made over search engine Posted data over social networking sites User filling up inquiry forms Increasing size of data warehousing The grown up need of mining and analytics make ...

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Data Management

  • Data Ingestion (Structured, Unstructured)
  • Data  Preprocess
  • Data Transformation
  • Data Cleanse
  • Data Profiling
  • Data Extraction in Desired Format

Data Governance

  • Data Policy
  • Data Standards
  • Data Ownership
  • Data Stewardship
  • Data Compliance
  • Data Security and Privacy

Data Analytics

  • Decide on the Objectives
  • Identify Business Metrics and Levers
  • Data Collection
  • Data Cleansing
  • Data Modeling
  • Optimize and Repeat

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