Data analytics is the process of examining datasets to draw conclusions about the information they contain. It can show important trends and help businesses understand customer needs. But how can data analytics help businesses grow?
How data analytics can help in business
Data analytics provides invaluable insights into your business and how customers are engaging with you. It can help an organisation understand how to market products, how to mitigate risk, or even how to enhance security.
Personalise the customer experience
By analysing data, you can see how customers behave to provide a more personalised experience. For example you could analyse sales data against data from social media and see what produces the highest sales.
Gain a competitive advantage
Businesses collect data from across their organisation and the wider industry. It can give them a competitive advantage in seeing where improvements are needed (and can be made), and where trends in sales have increased or decreased. And then adjust their campaigns accordingly. It can also help spot gaps in the market - the first to fill the gaps tends to come out on top.
I really enjoy the data analytics and management accountant side of things, analysing accounts to proactively drive performance and looking forwards rather than just reporting. I feel this role makes a difference.
- James Carew, Kaplan student
Data analytics can improve productivity by showing management areas for improvement and helping employees be more aware of their work habits and output. HR data analytics can really help identify areas that need more support, and areas that need improvement.
Avoiding risk and handling setbacks
One of the major benefits of big data analytics is to mitigate risk. Risk is everywhere in business, but by analysing the data, businesses can understand risk and take preventative measures.
For example, a retail outlet could analyse the data of when the most thefts take place, and use this to determine how much extra security is needed at peak times.
Data analysis can also be used to limit losses after a setback. For example, if a business overestimates demand for a product, it can use data analytics to determine the optimal price for a clearance sale to reduce inventory.
Interested in data analytics?
If you’ve got a good attention to detail and an inquisitive mind, data analytics might be the career for you. Have a look at our Data Analytics course page for more information, including our digital apprenticeships.