A strategic approach
Before beginning a digital transformation, it’s critical to have a strategy in place to explain how you will manage, store, secure and use your data. Yet, this is a step that’s often forgotten in the rush to transform and digitise processes.
A data strategy should be driven by the needs of your business. Your strategy will also define how to make decisions about the use of data, more capably manage data flow, and secure information effectively.
Any successful plan will identify realistic goals along with a road map for rolling it out. This ensures that you’re properly prepared for every step of the journey.
Beginning the journey
Harnessing the power of Data
With a clear data strategy in place and your digital journey underway, you can start to take advantage of the power of your data and use it to drive improved decision-making internally and externally.
Artificial intelligence (AI) and machine learning (ML) can be used to sort your unstructured data, learning as they go to uncover valuable insights. Once the data has been cleansed, you can enrich it by adding third-party data or public datasets to uncover more hidden insight.
The adoption of AI and ML also frees your people for bigger picture tasks. Instead of manually sorting through stacks of data, they can concentrate on delivering valuable and creative work powered by the insights you’ve identified – ultimately working towards the goals outlined in your data strategy.
Gathering data helps to deliver external benefits to your business too. It can improve customer service by identifying current pain points or uncover new customer segments for targeting – the possibilities are endless!
The lesson in the journey