Insights

As the world grows commercially, so do our practices in digitalization and e-commerce. Our experiences through the pandemic and the rise in organisational WFH practices can clearly advocate for this growth in available online consumer and strategic data, which has untapped potential to deeply understand operational processes and competitive edge.

Organisations have been using data inferences for years to help guide business decisions and enable them to achieve competitor advantage. Thanks to technology, we can now access data from multiple facets of the business; spending behaviour, employee engagement, supplier relations, project efficacy, etc. But much like a single drop of water falling in the ocean, all this valuable data is easily lost if we don’t know how to understand it.

With raw data being such a valuable resource, we have a race to fulfil the demand for qualified analysts who can appropriately deconstruct this data and bring valuable insight. Not only do data science analytics need to be code-competent, but they must also be able to decipher the story of the data and communicate this with the wider teams through both verbal and visual ways if we are to fully understand our impacts within business.

A strong data analysis project can provide the necessary insight to improve operational processes, and better understanding of the customer experience. When facilitating growth, data helps safeguard our investments by managing risk assessment strategies at multiple organisational levels.