Ever heard of the data-decision gap? If you have, you likely recognise that many organisations struggle to make data-driven decisions. A big problem for many organisations is while they might have data, the source of this data is questionable at best, which makes it hard to drive decision making.  A key answer is visualised data and the ability to test your data to see if it genuinely can bring you in depth results. A problem that occurs with this is the the traditional approaches to visualising data, which are usually outdated. According to Quantexa's Data in Context Report, Outdated approaches tend to be rules-based, reliant on batch-processing and require too much manual work. Traditional single view solutions are often use-case specific and hard to integrate, quickly replicating data silos, according to 46%. They also struggle with integrating key third-party data, 40%, such as public records, which are critical for analytics in many use cases.In this podcast, we speak to Jamie Hutton, CTO at Quantexa. Jamie gives us a full overview of: The dangers of the enterprise data decision gap How this gap affects C-suite level decision makers How to build a robust data foundation How to make trusted decision making How to make a platform for visualised data