By Ben Tindall, Sales and Marketing Director
While it isn’t in doubt that data is increasingly crucial to a business’ survival and profitability, what is news to some is that Big Data isn’t always the answer.
Yes, a recent study by Accenture revealed 79% of executives believe companies that don’t embrace Big Data could face extinction. Indeed, 83% had themselves pursued Big Data projects.
But, I would urge you not to get swept up in the hype. It is much more important for your data to be impactful – so quality over quantity, if you like.
Whatever the size, the key questions to always answer are:
- How relevant is this data?
- Are we analysing the data correctly?
- How long will it take to understand and read this data?
Impactful Data, unlike Big Data, focuses on assets within very specific parameters, linked to a certain topic or industry, making it much more relevant and much easier to analyse and utilise.
Refining your results can also mean saving hundreds of thousands of pounds on data collection and storage.
And, you and your team will save huge amounts of time as you’ll skip having to sift through weak or incomplete information, and instead zone in on meaningful results.
In summary, you can expect:
- A staggering reduction in costs
- Infinitely more valuable results
- Significantly improved ROI
If I’ve convinced you size doesn’t matter after all (!), please do get in touch to see how we can help you ensure your data works hard for you.
Related Case Studies
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01 /
A Hybrid Solution for Automotive Data Processing at Scale
Automotive products needed millions of price points and specification details to be tracked for a large range of vehicles.
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02 /
High-Speed Machine Learning Image Processing and Attribute Extraction for Fashion Retail Trends
A world-leading authority on forecasting consumer and design trends had the challenge of collecting, aggregating and reporting on millions of fashion products spanning multiple categories and sub-categories within 24 hours of them being published online.