Author: Tim Scargill

Tim Scargill writes about all things technology-related. He is particularly interested in how emerging technologies will affect enterprise in the future. After completing a masters degree in Electronic Engineering at the University of York, he moved on to become an IT consultant at IBM UK. Gaining knowledge and experience of big data and its business applications, he specialised in the analysis and processing of sensitive data. Specific interests include big data analytics and strategy, natural language processing and machine learning.
Find him on Twitter: https://twitter.com/tim_scargill

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Data Management Global Insight Strategy and Management

The data scientist, examined – addressing the talent gap in data analytics

data management, data scientist

It is now generally agreed that the process of analysing data is key to successful marketing. Collecting data from happy and consenting customers is fine, but putting that data to good use – identifying trends, optimising campaigns and examining effectiveness in detail – is still a skill that many marketing departments lack. How skilled is your data scientist? …What’s that? You don’t have one, just a regular marketer trying to keep all the balls in the air (and dropping a few)? Find out why the science of data is so important – as is the need to fill that specific role.

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Data Innovation Global Machine Learning Next Practice

Digging into big data: how deep learning can unlock marketing insights

deep learning
Web analytics concept - Multicolor version

The news is full of how artificial intelligence will transform the world around us, but as marketers, how will it impact our industry specifically? Here we explore why one technology in particular holds a lot of promise for data-driven marketing. Because in all that big data we produce, there are countless hidden insights that we’re missing every day — and deep learning is the key to unlocking them.

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Big Data Data Innovation Global Next Practice

Analytics and targeting: why marketers vacuum up data

marketers vacuum up data

Recently, the possibility of selling data collected by a robot vacuum cleaner triggered a debate about legality and ethics. But why would marketers vacuum up data and how would they use information about a home’s square footage, furniture and other personal details to reach customers? Tim Scargill discusses the many ways marketers utilise data analytics to predict consumer behaviour, improve targeting and personalisation and determine the ROI of their marketing efforts.

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