With Big Data Analytics, we deal with big data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.

In most businesses, the way organisations manage and derive insight from big data analytics is changing the way the world uses business information.

when used the right way, data and augmented intelligence can create competitive advantage, re-engineer processes and enhance risk controls.

The importance of big data analytics doesn’t revolve around how much data you have, but what you do with it. You can take data from any source and analyze it to find answers that enable;

  1. cost reductions,
  2. time reductions,
  3. new product development and optimized offerings, and
  4. smart decision making. Make intelligent, data-driven decisions.

What is Big Data

Big data means tremendous amount of information which comes from variety of sources, from IoT to simple clicks online.

Although the advancement of technology allowed collection of big data sets, computers lacked the power to process such amounts of information. Today organisations and businesses are in a position to make better decisions due actionable insights from big data.

To understand the concept of Big Data, data can be described as big when it demonstrate the 4 V’s qualitties: volume, variety, velocity and veracity

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Analytics and AI

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