Big Data & Data Science.

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Big Data.

“extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.”

The definition of big data.

Data Science with Big Data …

Big Data is the topic of the century, perhaps the topic of the last few years, why, because digital, computing and process has allowed an entire industry to rise and utilise data to improve efficiency, cost and effectives of multiple disciplines, perhaps more poignantly marketing.

Data the new oil, not new just a refined version as data has been massively important and a huge industry with the first collected data source of 1086 by William I in the domesday book(s). Where can it help?

It all begins with an idea. Do we know our customer? Can we communicate better to our audience? Do we need to spend budget on these channels? Is this market worth targeting? Whatever it is, Big Data can make all the difference.

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  • Audiences
    Define, develop and target audiences more efficiently

  • Location
    Utilise data to pinpoint audiences in specific locations and hotspots

  • Personalised Targeting
    Personalise messaging with behavioural nuances, profiles and demographic

  • Spend
    Focus on the best performing channels, optimise spend increase ROI, reduce CPA (Cost Per Acquisition)

  • Markets
    Identify

    new emerging markets, over-represented markets (opportunities - trends)

Big Data & Data Science


 

Audience Modelling.
New Markets.
Location targeting.
Personalised Targeting.
Data-Driven Creative.
Optimised Spend.