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The Guardian - UK
The Guardian - UK
Business
Ronald van Loon

The questions to ask before implementing any big data strategy

Computer keyboard with question mark
What questions should you ask before implementing a big data strategy? Photograph: Alamy

Big data is a buzzword in the world of digital transformation. It allows strategists to see where their efforts are succeeding and where they need some work. With big data analytics, every move you make for your company can be backed up. While every business venture involves some level of risk, with big data, that risk becomes infinitesimally smaller thanks to information and insights on market trends, customer behaviour and more.

Whether you run a small business with just a few employees, or are in charge of a multinational corporation, you can benefit from an effective big data strategy. Thanks to analytics, data mining, and the constant stream of data flowing through everyday devices and products, there is more market data available today than at any other time in history.

Not only that, but the amount of data we’re producing is growing at an incredibly rapid rate. In less than five years, experts predict that our annual data creation will reach nearly 45tn gigabytes. With mind-boggling amounts of data like that available to individuals, corporations, and governments, there is no question that your business needs a big data strategy.

Why? Even the most powerful computers aren’t going to sift aimlessly through multiple trillion gigabytes of information in an appropriate timeframe for gathering information on your market and your target audience. You need a focused, data-driven strategy that will not just aim to collect information but to use that information in the most effective ways possible to help your business overcome obstacles and improve your bottom line.

So, before you dive into big data analytics, you should first ask yourself these four questions to help guide you in creating an effective strategy that will show significant and tangible improvements for your business:

1. What is the biggest challenge facing my business right now?

Are you having difficulty standing out from the competition? Is production a problem? Are your branding efforts falling on deaf ears? Are your customers not fully satisfied?

Understanding the biggest challenges facing your company will let you know where to focus your data collection and analysis efforts. If you’re launching a start-up and are trying to identify your ideal customers, you’re going to be looking at different data sets than if you have an established business and you’re launching a new product.

2. What can I do to get to know my customers?

Data collection and analysis can do a lot to show you who your customers are, where they live, what kinds of patterns they follow when using your site or purchasing things from you. Consider all of the ways you can get to know your customers to improve efficiency in your company’s website, engage your customers more, and give them an all-around better customer experience.

3. Will better insights and data analysis help me handle my business’ biggest challenges?

This is almost a trick question because the answer is almost always yes. If you are trying to increase the average shopping cart value in your e-commerce store, understanding your customers’ shopping patterns and making targeted recommendations can help. If you are trying to gain more exposure through social media, your insights and data analysis of visitor engagement can help a great deal.

4. How can I apply big data analytics to create the best possible strategy?

Look at your goals for your business and how they relate to what you do and don’t know about your customers. With so much data streaming online today, there’s no reason that you should ever make a strategic move that isn’t data-driven. Consider your customers’ browsing, buying, and spending patterns. Look at trending online and social media activity for your target audience. Find out how you can tweak your strategy to help focus it more and make it more customer-and-data-driven.

Follow Ronald van Loon on Twitter @Ronald_vanLoon

This advertisement feature is paid for by SAP, which supports the Guardian Media & Tech Network’s Digital business hub.

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