Pioneer the use of your data

By next year the volume of data created and consumed worldwide is expected to grow to 180ZB†, that means more data will have been created in the last 3 years than has been in the past 30 years.

With this phenomenal rate of data growth comes rising cyber, environmental and competitor threats. That’s why it’s never been a more crucial time to get your data strategy in check.

Our Data Health Check quiz is an effective way to assess your current data landscape. Answer 20 questions to reveal what condition your business data is in. Will you be a Data Leader, Data Achiever, Data Believer or Data Follower?

Take the quiz find out † Statista, 2022

Data is at the heart of business

Data runs the economy, business and our everyday lives. So how do we harness the power of this data, while complying with data security standards and protecting it from attackers?

In our most recent study, a minority group (15%) of organisations are using their data to achieve a mix of environmental, social and governance (ESG) as well as financial goals. These, ‘Data Leaders’, could be the blueprint for a kind of business that is both ethical and profitable. Data leaders enact successful data-first strategies enabling them to quickly gain insights and advance innovation to stay ahead of the competition in a responsible way.

 

To become a Data Leader, organisations are assessed on these four key pillars:

1. Data Management

Front and centre in an ever-evolving IT infrastructure, data management is the secret to success across your business. From increased revenue and employee productivity to effective forecasting, innovation and future performance.

3. Data Analytics

Data Analytics & AI tools extract knowledge from your data to build tangible benefits. Such as opening your business up to new opportunities, new markets, and delivering a more personalised service.

2. Data Security

Cybersecurity tools are at the top of the investment priority list for business leaders, with data security their biggest concern as data continues to grow at astounding rates. Peace of mind comes from smart data protection solutions.

4. Data Humanity

Threats like the energy crisis, global warming, income inequality, and other macro trends like pandemics, and rising operational costs leave us all in tough times. Doing more with your data to benefit humanity is key to becoming a data leader.

What does it take to become a Data Leader?

Let’s first look at the characteristics of a Data Leader:

Technology – Adoption of leading edge technologies when it comes to storing, managing, securing, accessing and sharing their data.
Purpose – Using data for a mix of business and altruistic initiatives, rather than just to drive profit.
Financial performance – Effectively using data to improve customer experience and loyalty, increase supply chain efficiency and reduce costs thus increasing revenue.
Strategy – A mature approach with a robust data-first strategy that focuses on how data can be used to benefit their customers, their communities and the planet.
ESG – Understanding the importance of data in solving the challenges of global instability such as, global warming, the energy crisis, poor healthcare and education.
As organisations become more advanced in using their data, the more they will use it for good and be recognised as Data Leaders.

The top 15% of organisations setting the blueprint for other businesses on how to get the most out of their data.

Using data insights to make vital decisions across the business with an appetite to do more.

Understanding the big data picture and the benefits of a data-led approach. Looking for the best ways to put data to good use.

Planning to modernise and become more data-centric with efficient and sustainable data management.

Check the condition of your data strategy

Are you ready to see where your business sits on the Data Follower to Data Leader spectrum?

Take the 20 questions quiz to find out. See how you’re positioned across the four pillars of data leadership, and use this knowledge to identify any gaps, and define the required next steps to build a data-first culture.





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