iDEA Inspiring Digital Enterprise Awards
5

How to learn from big data

Storing and processing Big Data is expensive, so why should we store and process such large sets of data?

One of the main reasons for storing and processing Big Data is so that businesses can understand what their customers need and want. This can be done by analysing website use, looking for trends in customer behaviour, checking customer satisfaction on social media, and monitoring how different devices are being used. Once they've analysed the data, businesses are able to make better-informed decisions.

One simple example showing Big Data's power is its use in recommendation systems for customers, such as film, music, shopping, contacts and jobs, where users' behaviours can be compared with a community of other users to decide what they might like; or where preferences are used to identify what other people might like.

Task

Companies are striving to display data in a way that is more engaging and easier to understand to make it more helpful when they are communicating with clients or internal stakeholders. You will be shown a series of data visualisations derived from Big Data. For each of the visualisations, select the option that best represents what the data is conveying:

1/4

The image above shows a live visual and musical representation of Wikipedia data.

  • Wikipedia edits
  • Wikipedia musical articles entries
  • Wikipedia users around the world
2/4

The image above shows a live visualisation of a geological phenomenon.

  • Heat waves
  • Winds
  • Earthquakes
3/4

The image above shows Twitter trends for the result of a keyword search (‘Big Data’, in this case).

  • Tweets by geographic location
  • Tweets by gender
  • Twitter access by device
4/4

The image above is produced from Google data.

  • Colour trends
  • Celebrity appearances on TV shows
  • Search trends by country