Why Every Company Needs A Data Strategy

Written by Bernard Marr

Data matters to any company, regardless of size, sector or type. In fact, data is one of your biggest business assets, alongside your products, services, intellectual property, and people. But to get the most out of data, it’s vital you have a data strategy in place.

Why Every Company Needs A Data Strategy

Focusing your data efforts where it matters most

Technology is developing so fast these days, many businesses – particularly smaller and mid-sized companies – feel like they’re struggling to keep up. Sometimes, this leads the company to dive eagerly into new data opportunities, investing in new technologies and fancy analytics that aren’t right for their business. And sometimes, it leads to inaction, or a compulsion to bury heads in the sand and ignore the data evolution. Either way, these businesses don’t fully realize the possibilities of data.

That’s why you need a data strategy, to set out how you want to use data in practice, clarify your top data priorities, and chart a course for reaching your goals – including what kind of data you need, where you’ll source that data, how you’ll store and analyze the data, and so on. The data strategy helps you drill down to your core business needs and create an achievable plan for the future.

Relating your data strategy to your business strategy

Creating a data strategy isn’t a standalone activity; it must be driven by your overarching business strategy. Therefore, a critical starting point for any data strategy is the business’s strategic objectives. To put it another way, what is your business trying to achieve and how can data help you get there?

After all, what’s the point of a data strategy – indeed, what’s the point of data in general – if it doesn’t help you achieve your organizational goals? So before you charge ahead to your data strategy, review your business strategy first and then develop your data strategy.

How to use data in your business

So how can data help you achieve your organizational objectives and deliver your business strategy? There are five key ways businesses are using data:

  • To inform decision making
  • To understand customers and trends
  • To provide smarter services and products
  • To improve internal operations
  • To create additional revenue

Let’s look at each area in turn.

Making data-driven business decisions

Improving decision making is one of the top priorities for most of the clients I work with. And with good reason – from developing new products to increasing revenue to hiring the right talent, it’s all about making the best decisions for your business. And what fuels better decision making? Data.

Data can be used to help every business function, department and team make better decisions. For example, in HR, data is being used to calculate the likelihood of employees leaving the company, which helps HR and managers better engage key talent and reduce employee turnover.

Here’s a really simple example of data-driven decision making in action. Thanks to data, US restaurant chain Arby’s discovered that its renovated restaurants made more money than its un-renovated restaurants. As a result, the chain decided to drastically ramp up its remodeling programme.

Understanding customers and trends

Identifying market trends and understanding customers’ needs is a key driving factor of most sales and marketing activity. After all, the more you understand your customers, the better you can serve them.

In the past, this activity used to be based on which customers previously bought which products or services, but now companies are increasingly becoming more predictive –anticipating what customers will want in the future. One classic example of this is Netflix recommending what you should binge-watch next, based on your viewing preferences.

Delivering smarter products and services

One of the big benefits of knowing more about your customers and markets is being able to give them exactly what they want: specifically, smarter products and services that react to each user’s unique needs and habits.

The Nest smart thermostat is an excellent example of this. These incredible devices monitor activity in your home and detect behavior patterns. Then, based on what it knows about how you use your home, the thermostat dynamically adjusts the temperate to keep the home comfortable, without wasting energy where it’s not needed.

This overall trend towards smarter products and services is all possible thanks to advancing computing power (the average phone packs the kind of computing power that would have been unimaginable 15 years ago), and the connectivity offered by modern devices and gadgets (otherwise known as the Internet of Things). Expect this trend to continue as we become increasingly inseparable from our smart devices!

Improving internal operations

The ability to optimize business processes, streamline operations and run the company in a more efficient, cost-effective manner is an attractive prospect for any business. Thanks to data, it’s easier than ever to make improvements and generate efficiencies.

For example, in manufacturing or industrial businesses, production line machines, vehicles, and tools can be made ‘smart,’ meaning they can be connected to each other and continuously reporting on their status. This, in turn, means every aspect of the manufacturing process can be monitored and tweaked for optimal performance. It can also help to reduce costly machine downtime, by anticipating when parts need replacing before they break down. This is known as predictive maintenance.

In other sectors, companies are using data to optimize stock control (such as automatically replenishing stock when it hits a certain threshold), anticipate and prevent service outages, optimize delivery routes, automate repetitive and mundane processes, and much more.

Monetizing data

When you use data to make smarter decisions, optimize business process and so on, it’s likely to have a positive effect on the bottom line. But this link between data and the bottom line can also be much more direct. In other words, data can be monetized to increase revenue and create a new income stream.

This monetization may take many forms. For example, it may involve bringing new, data-driven products or services to market. Or it may involve selling data to customers through optimized services (think of Facebook’s data-driven advertising offering). And sometimes, data can even increase the value of the company (think of Microsoft’s acquisition of LinkedIn).

As well as making money, data can also save your business money. One great example of this lies in fraud detection. Data-driven fraud detection technology, which is used by Amex and other credit card providers, helps to identify and prevent fraudulent transactions in real time, saving billions of dollars.

Defining the strategic data use cases for your business

Once you have identified the key strategic use cases for your organization, you can define them further by using this Data Use Case Template.

If you don’t already have a data strategy, it’s not too late to create one for 2019. (And if you do already have a data strategy, now is the ideal time to review and update it for 2019.)

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