Analytics Engines Lead Data Scientist Liam Brannigan discusses why a simple solution is often more valuable than a complex solution, showcasing how this approach has helped deliver value for our clients.
When clients approach us, their central objective is to drive value from their data. Organisations can drive value in a variety of ways, a number of which we explored in our recent Value of Data eBook.
When beginning a data science project, the question that we ask ourselves is “What is the simplest way that we can solve this problem?”. Whether it’s developing a Machine Learning model to monitor Food Safety, using Natural Language Processing to identify potentially fraudulent behaviour or using Knowledge Graphs to show how various entities within a variety of disparate datasets are connected, our ethos remains the same.
This approach has benefited our clients in a variety of ways.
A complex approach does not guarantee the best outcomes. Oftentimes, such an approach can erode value, create bottlenecks for broader understanding, and limit the long-term capability of a solution.
Adopting a simple, iterative approach allows organisations to realise value more quickly, react to challenges more effectively and to adapt the solution more easily as their needs evolve.
As famed product designer Dieter Rams says, “Good design is as little as possible.”
To learn more about how a data analytics solution can support your organisation, download our eBook or contact us using the form below.