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Editor's Pick (1 - 4 of 8)
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Turning Big Data into Big Money

Shawn Paskevic, CIO, NEBCO

The Inherent necessity of Big Data as a defining strategic factor

Esteban Remecz, CIO Asia Pacific, ZF Group

Get Ready for an IT Renaissance: Brought to You by Big Data Analytics

Clark Golestani, EVP and CIO, Merck

Promise of Data Analytics

John Kochavatr, CIO & Digital Leader, GE Water & Process Technologies

Data Analytics: New Edge for Success

Colin Boyd, VP & CIO, Joy Global [NYSE:JOY]

How big data analytics guided our decision-making through a year like no other

Michael Coatsworth, Principal Architect, Foodstuffs North Island

Advanced Analytics in Tokopedia

Krishna Dermawan, Head of Data Analyst, Tokopedia

The Pursuit of a Culture That Is Driven By Data

Mike Congdon, Head of Business Insights, OfficeMax New Zealand

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How Big Data Helps Businesses

CIOAdvisor Apac | Tuesday, December 01, 2020
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With the evolution of technology, more and more companies are adopting big data to help them with several functions.

Fremont, CA: Big data refers to a vast volume of raw data that is obtained, processed and analyzed by different means that companies may use to improve their productivity and make informed choices. In both structured and unstructured ways, big data can be Structured data is processed and structured in the database more easily. On the other hand, unstructured data is much difficult to interpret and a number of formats are used. Orthodox data structures and procedures are often not readily interpreted.Big data is not new to the world. In reality, big and small businesses are increasingly using big data and related analytical methods as a way to obtain more knowledge to better support their business and serve their clients, benefiting from the benefits of big data.

3Vs of Big Data

Volume: Big data watches and records what happens from different sources, like business transactions, social media and machine-to-machine or sensor data information. This produces huge data volumes.

Velocity: The data flows at high speed and must be managed in a timely manner. It is also easy to process data, that is, analyze streaming data to produce near or real-time results.

Variety: Data comes in all formats that can be standardized, numeric, video, audio, email, stock ticker data in the conventional database or unstructured text documents.

The significance of big data does not revolve around how much data a business has, but how the collected data is used by a business. Every business uses data in its own way; the more effectively a business uses its information, the more potential it has to expand.

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