A Year of Data Transformation Across Key Industries

Data is reportedly now more valuable than oil and its transformative nature is certainly undeniable. However, while organisations are keenly focused on how to get the most out of their data, challenges remain.

While 2022 was the year that data transformation took centre stage across all industries, organisations must continue to take steps to address barriers like lack of actionable insights, data migration difficulties and data best practices to reap the full reward. In our insights piece, we discuss three examples of how organisations can achieve successful a data transformation. As many businesses across core industries undergo data transformations, it is critical that they focus on setting objectives for how information will be used, focus on nailing data migration, and the integration of different datasets. Organisations must look at their data practices, consider where changes need to be made, and identify ways to better support their customers to ensure success.