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5 Uses for Data in Your Business

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Data has become a vital part of business operations, data teams can help an organisation understand its customer service offering, and learn more about customer desires, complaints, and business operations. A strong understanding of your data sets can help you to understand how you can succeed in your business ventures. Business data encompasses a vast array of functions, it can include any statistical information, raw analytical data sets, customer feedback data, sales numbers and so much more. Most businesses will collect as much data as possible during to streamline their operational capacity and perform to a higher standard for their customers.

There are several ways that a business can collect data on its customers, from conducting polls, using analytical software, and even simply observing information.

The benefits of understanding your business data are vast. First off, it helps your business to make better, quantified decisions. If you can make the tough calls faster, with the data to back up those decisions, then you shouldn’t be surprised by any of the benefits or repercussions. Let’s say there was a new market that you are considering an expanse into, by collecting the relevant data on how the market works, you can see where you might fit and what kind of customers you may have there so that you can adapt before even entering.

Alongside this, data can be used to increase your revenue and profits, all by making the business more efficient, through utilising key insights into your operations and customer feedback you can improve the processes you have in place.

With all the different types of data and uses for data in business, it’s important to learn from what others have done to see the best way to incorporate data plans into your own business. With that in mind, here are 5 podcasts from businesses we have worked with to show you how they have done it;


1. Advanced Analytics & Data Gurus | David Rice & Tom Bruce | Snap Analytics

Modern Cloud Data Platforms: How using such platforms and innovations in the cloud can help you create insights faster with less risk and less cost.

We caught up with David Rice, CEO and Co-founder and Tom Bruce, Delivery Lead and Co-founder of Snap Analytics. Snap Analytics deliver solutions that simplify and accelerate data projects, focusing on ensuring that technology and data helps you to clearly achieve your strategic goals whatever they may be.

Never before has the power of data and analytics been greater, however there is also an ever-increasing amount of data being created. The key for businesses is being able to unlock the power of their data to gain a competitive advantage. We discussed common pitfalls to be aware of when implementing a new data strategy into your business, and with Gartner estimating that 60% of Big Data projects failing, what’s going wrong?

2. Integrating Data to Scale @ Datadrivers | Erik Christiansen

Erik Christiansen is Head of AI and Data Science at Datadrivers GmbH, a consulting company for business intelligence, big data, data-driven infrastructures, data analytics and technology consulting.

We spoke about some of the pitfalls to be aware of when integrating a Data Science team into an organisation, and how to avoid these common issues. Keeping up with the ever-evolving technology and trends within Data Science and AI, and what some of these trends are, as well as what works and what doesn’t work when integrating data to scale.

3. The Evolution of Location Data @ Ordnance Survey | Lisa Allen

Lisa Allen is Head of Data and Analytical Services at Ordnance Survey.

Ordnance Survey is Britain's mapping agency. We make the most up-to-date and accurate maps of the country. They're also a digital business, and use their content to help governments, companies and individuals to be more effective both here and around the world.

Lisa is a data leader and data expert and has gained experience across many data disciplines from data strategy, data governance, open data, data quality to data protection to name a few.

We hear how Ordnance Survey has developed from when it was founded in 1751, and how location-based data is more important in society than it ever has been before.

4. Tailoring Data Solutions at Superdry | Brad Woodward

Brad Woodward is the Business Intelligence Manager at Superdry. As one of the biggest fashion brands on the planet, we spoke about the data that Brad and the team work with at Superdry and how to navigate around the sheer quantity of it. 

We also spoke about how data is helping not only the eCommerce shop but also the brick & mortar experience too. These two areas of the business now cross-pollinate as they are now more able to collect important data from the physical store, and they get the most out of that information to create a seamless experience.

“Even going back as shortly as a few years ago, they were two separate entities. The way that things are going now it really important, It needs to be a seamless experience. Data has a really important part to play in that” 

5. Using Tech to Simplify Big Data | Davide Anastasia

Davide talks about his passion for data and keeping up with the developments of the data landscape. We discuss how you can use data to drive the success of a business, and how taking advantage of technology to build a data team can help achieve a company's goal, and the realities of this process.