Data Strategy


DSCallards Data Strategy Masterclass

How to Quickly and Easily Devise a Data Strategy That Actually Works

(plus all the tools you need to do it)

Why your business needs a data strategy

The chances are, your business is aiming to drive more value from its data. Whether that’s through better insights, increased automation, digital transformation, artificial intelligence, or even entirely new data products.

To achieve these kinds of data outcomes, your business needs the right mix of data capabilities. But it’s impossible to know just what the right mix is, without taking a strategic view of the entire change journey that your business needs to complete.

A data strategy works just like any other. It pinpoints your data goals, and then reveals the course of actions that will take you there. The risks of ignoring data strategy are equally familiar – you’re likely to spend far more time, effort and money heading in the wrong direction, ultimately arriving at poorer results.

The data strategy conundrum

Enterprise data management is a big and complex topic, so devising a data strategy can feel overwhelming. The key challenge is; how to create a data strategy which is comprehensive enough to be implementable, yet at the same time simple enough for all stakeholders to understand and support?

It’s no good creating a strategy which is so detailed that few people can engage with it. But it’s also no good creating a strategy which is so insubstantial that it can’t be put into real-world practice.

How do you do both?

Learn a faster, simpler and more effective method of devising data strategy

With the DSCallards Data Leadership Team, we have the experience, the methodology, the materials and the answers to help you eliminate the overwhelm, and quickly cut a clear path to a powerful data strategy which will make your business truly data-driven, not just data-busy.

By attending our Data Strategy Masterclass, you will learn:

  • The real-world differences between ‘data-driven’ and ‘data-busy’, and how that shapes a successful data strategy.
  • The hallmarks of a truly data-driven business, and how to adapt and weave them into your own business’s data strategy.
  • How to pinpoint the right data goals for measurably growing the value of your business’s data.
  • Data strategy pitfalls and how to avoid them.
  • The ‘big-picture’ view of a business’s data landscape, and how to translate it into data strategy.
  • How to quickly create a data strategy which is both simple enough for people to engage with, and detailed enough to drive beneficial change.
  • How to use the 4dDX framework, to translate data strategy into real-world and practical data capability development.
  • How to communicate your data strategy to stakeholders, in ways that garner essential support and sponsorship.
  • How to hone your data strategy into a roadmap, for driving the real-world changes that will lead to your business’s data goals.

In addition, every Data Strategy Masterclass attendee will get 3 months access to your very own private online portal, containing:

  • A data strategy document template, for you to keep and use to rapidly build a professional and engaging data strategy.
  • A data strategy presentation template, for you to keep and use for comfortably communicating your data strategy to stakeholders.
  • A data strategy roadmap template, for you to keep and use for timelining strategic data capability development.
  • A perpetual 4dDX license, allowing you to use the powerful 4 dimensional data excellence framework when devising your data strategy.
  • A copy of the full 4dDX strategic data capability development framework.
  • Limited access to the complete 4dDX online data capability maturity assessment tools and analysis.*
  • 3 months access to our online Data Strategy Support forum, providing unlimited access to answers and post-training support from our team of Data Management Consultants.

* Access to the data capability maturity assessment will be limited to one user for 3 months. Unlimited access is available separately – see your account Manager for more details

Who should attend?

Each Data Strategy Masterclass is ideal for data leaders such as CDOs and Heads of Data, who are looking for a reliable, rapid and cost-effective way of crafting a data strategy that passes leadership scrutiny, engages business stakeholders, and translates into practical and measurable development of data capabilities.


This Masterclass is priced at £2,850 plus VAT.

To book today, fill in this simple form.

Data Strategy

Frequently Asked Questions

What is meant by data strategy?

A data strategy is the way in which an organisation utilises data and information to support and inform both its long-term and short-term business strategies. Much like any other business strategy, a data strategy identifies your objectives before outlining the steps you should take to get there. This means a business will formulate a plan that addresses the construction of data systems and architectures as well as how their data will be collected, analysed and leveraged for the purpose of improving business outcomes in a quantifiable, measurable way.

What is data strategy training?

As the name suggests, data strategy training is the process of educating a business or specific team of employees about the processes and practices that go into building a successful data strategy. Data strategy training is an important step for any business and can help you and your team discover the hallmarks of an innovative and informed data-driven culture.

At DSCallards, we offer bespoke data strategy training that will equip your business with the solutions you need to implement an informed, data-driven culture. For more information, get in touch with our team today. We would be delighted to assist you.

What are the five essential components of a data strategy?

In order to fully establish a data culture across an organisation, a data strategy must have the following five essential elements…


Establishing a method to identify and describe data is one of the most fundamental building blocks of using data within a business. Unless the data value has a name, a defined format and a value representation, altering and processing it is not practical.


As businesses have evolved, it has become clear that storing data in a single location isn’t feasible. This is because the size of large businesses, and the diversity of modern data sources, make loading information into a single, integrated platform impractical. Your employees don’t need access to all of your company’s data – they need access to the data that will support their individual needs and tasks. This is what makes storage such an invaluable asset to your data strategy. It’s important to ensure there is a mechanism in place to store all your data in a way that is readily accessible. When stored correctly, you should only need to save your data once before giving your employees a means to find and access it.


Ensuring your data is readily accessible is no longer a specialist technical task completed by application architects and programmers. These days, businesses rely on the distribution and sharing of data to meet their operational and analytical needs. As a result, data sharing cannot be managed as a courtesy, nor can it be seen as a one-time, one-off requirement.

This is where provision is important. If your data is truly a corporate asset, then it must be packaged and prepared for collaboration. As a result, a modern data strategy must address provision as a part of daily business practices.


For obvious reasons, integration is a core component of implementing a successful data strategy. Integration should encompass all data within an organisation, including structured, semi-structured and unstructured data. Although this is easier said than done, ensuring your business places integration at the centre of your data strategy will ensure more collaboration and consistency across your entire organisation.


As the name suggests, data governance is the process of establishing internal data policies that apply to how a business gathers, stores, processes, leverages and disposes of its data. The process also determines who can access what, as well as what kind of data a business will collect and govern.

As collaboration and usage issues continue to gain visibility, it’s important that initiatives within a business broaden in scope. As those initiatives expand, businesses must establish a set of policies, rules and methods that ensure consistent use, manipulation and management of their data.

What is an example of a data strategy?

If you’re running a business, you most likely collect data in some way shape or form – however, that data won’t assist you in optimising your organisation on its own. To do so, you’ll need a data strategy.

There are many different kinds of data strategies. A sales department of a business for example might raise concerns about the amount of fragmented data that they have about the organisation’s target audience. Integrating those different data profiles might allow the sales department to shape and inform their next campaign to their target audience, which could boost profits and improve productivity.

For assistance with your data strategy, get in touch with the team at DSCallards today. Our team provides customised data strategy training that will give your business the tools it needs to adopt a knowledgeable, data-driven culture – and we’d be delighted to assist you with your next project.

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