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How to get your first job in a tech-led accountancy role

Award-winning finance and business leader, Becky Glover, provides her expert opinion on how to get your first job in a tech-led accountancy role.

An image of Becky Glover Becky Glover · 7 minute read


How can data analytics help businesses grow revenue?

An ipad screen with data on it

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.”

Improve production

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.

Increase the business value of your analytics teams with ICAEW

Find out more

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How can data analytics help businesses grow revenue?

An ipad screen with data on it

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.”

Improve production

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.

Increase the business value of your analytics teams with ICAEW

Find out more

Related articles

Understanding reasonable adjustments in job interviews: what you can and can’t ask for

Understanding reasonable adjustments in job interviews: what you can and can’t ask for

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Predictions of where the finance team will be in 10 to 50 years

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View all articles

How can data analytics help businesses grow revenue?

An ipad screen with data on it

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.”

Improve production

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.

Increase the business value of your analytics teams with ICAEW

Find out more

Related articles

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Predictions of where the finance team will be in 10 to 50 years

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The benefits of offshoring accountancy services

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Transformations

View all

How can data analytics help businesses grow revenue?

An ipad screen with data on it

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.”

Improve production

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.

Increase the business value of your analytics teams with ICAEW

Find out more

Related articles

Understanding reasonable adjustments in job interviews: what you can and can’t ask for

Understanding reasonable adjustments in job interviews: what you can and can’t ask for

Reasonable adjustments during interviews are essential for ensuring fair opportunities for all candidates. Here’s how to navigate them effectively.

Kaplan · 5 minute read

Predictions of where the finance team will be in 10 to 50 years

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Award-winning finance and business leader, Becky Glover, uses her insight and experiences to predict the future of finance.

Kaplan · 6 minute read

The benefits of offshoring accountancy services

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Our guest for this episode of our Learn Better podcast is Arun Mehra FCA - the CEO and founder of Samera, which is an accountancy firm based in Surrey.

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View all articles

How can data analytics help businesses grow revenue?

An ipad screen with data on it

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.”

Improve production

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.

Increase the business value of your analytics teams with ICAEW

Find out more

Related articles

Understanding reasonable adjustments in job interviews: what you can and can’t ask for

Understanding reasonable adjustments in job interviews: what you can and can’t ask for

Reasonable adjustments during interviews are essential for ensuring fair opportunities for all candidates. Here’s how to navigate them effectively.

Kaplan · 5 minute read

Predictions of where the finance team will be in 10 to 50 years

Predictions of where the finance team will be in 10 to 50 years

Award-winning finance and business leader, Becky Glover, uses her insight and experiences to predict the future of finance.

Kaplan · 6 minute read

The benefits of offshoring accountancy services

The benefits of offshoring accountancy services

Our guest for this episode of our Learn Better podcast is Arun Mehra FCA - the CEO and founder of Samera, which is an accountancy firm based in Surrey.

Kaplan · 7 minute read

View all articles