Creating a positive user experience is critical for adoption of your data and AI strategy. Each part of the organization may be looking at the same data but through a different lens.
Producers of data products go to multiple data management systems to define and manage their products. With each function offering a potentially different perspective, you get different offshoots of data products which lack consistency and can cause confusion when reporting.
Having the right tools that enable data to be consumed and used effectively and in a way that’s meaningful and relevant to individual users is key. This could be a data marketplace, a sandbox workbench, enterprise data search functionality, business intelligence reporting, and data visualization platforms. For example, a data marketplace or data platform enables reusability of data products, increasing efficiency and value of data projects. This is key to creating a superior user experience that encourages people to access an apply data in ways that support their role. It also evangelizes the use of data and insights for decision-making across the enterprise.
Improving the user experience is also about efficiency – having simpler and more intuitive processes to build, manage, consume and use data reduces the time to perform data-related activities, reducing the time to insights.