Thinking!

Thinking!

The blog is operated by Segence, a data analytics consultancy in the UK.

Content Marketing and Machine Learning

Content is king - as the saying goes. It is true that content helps marketers to reach a greater audience, however it is increasingly difficult to compete. Machine Learning gives valuable tools in the hands of Content Marketers.

Rob Vadai

3-Minute Read

Photo by Campaign Creators on Unsplash

“Content is king” - as the saying goes. It is true that content (that is, blog posts, articles and other digital content) helps marketers to reach a greater audience, however it is increasingly difficult to compete. There are just about 1 billion websites and blog out there (almost a website for every 7 person in the planet). While is still holds true that any successfull digital marketer should publish content, the question is not, whether content should be used, but how.

Data mining from Social Media

Simple counts and averages can take us so far, but what if we're interested in deeper insights into our data?

Rob Vadai

3-Minute Read

Photo by rawpixel on Unsplash

In our previous article on analysing social media data we’ve discussed some basic methods to draw conclusions of social media data. Simple counts and averages can take us so far, but what if we’re interested in deeper insights into our data?

How to Analyse Social Media Data

There is a vast amount of data generated on a daily basis, and even if that data is harnessed and processed it's easy to get lost in the variety of content.

Rob Vadai

3-Minute Read

Photo by rawpixel on Unsplash

Making sense of social media is not an easy task. There is a vast amount of data generated on a daily basis (Twitter, for example, has 500 million new messages are posted every day), and even if that data is harnessed and processed it’s easy to get lost in the variety of content.

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Articles about data, analytics and information technology. Thoughts on how it can empower businesses and inviduals to fulfil their potential.