Data is probably the biggest
buzzword in modern marketing but actually turning data into profitable business
decisions is something of a science. In this bitesize blog, we explain what
data science is in simple terms and what it can do for marketers.
Data science is all about
extracting valuable insights from
data – the kind of insights you can turn into business and marketing decisions
that improve performance. If you’re looking to turn data into higher profit
margins, increased lead generation, higher search rankings or a more efficient
paid advertising strategy, data science is the way to do it.
Simply collecting data does nothing by itself. To make a real impact on your marketing efforts, you need to start by identifying which data points hold the information you need, create models for collecting that data effectively and find a way to present all of that information in a way that allows you to extract insights (graphics, charts, etc.).
Data science provides the theory
and practices you need to achieve this.
In today’s data-driven marketing environment, it’s not much of an exaggeration to say everything starts and ends with data science: Data collection, algorithm development and deployment, data visualisation, machine learning, analytics and so on.
We can’t cover everything it has to offer for marketers in a bitesize blog but we can list some practical examples of what you can achieve to give you a good idea:
The list goes on and you can find out more about the amazing things we’re doing by visiting our blog. Or, if you have any questions, just call us on 023 9283 0281.
George is an SEO Specialist and Data Scientist in the Portsmouth office. He has worked in E-Commerce and Digital Marketing across many industries, for and with companies all over Europe. Before joining Vertical Leap, George worked as Marketing Director for his own company, for which he managed to expand the company’s activities to 5 European countries. George has been creating websites for more than 10 years and he has in depth experience in designing and bringing optimised E-Commerce websites to market.
Categories: Data Science
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