Start: Q2 2023
Publication: Q4 2023
Region: Global
Consumers make up the majority of BI and analytics users and many of them are starved of relevant information as insights provided are often not as actionable and consumable as required. They are often tormented by legacy systems lacking ease of use and valuable combinations of data. While substantial investments have been made to level-up information distribution, many of these efforts have not yielded the expected benefits.
Modern analytics apps promise to provide required data to consumers of all skill levels within or outside an organization. Automated insights, NLG and potent ML to analyze data put powerful weapons in the hands of consumers to understand data and glean and distribute insights to increase productivity at every stage of the value chain. Modern low code / no code development speeds up implementation and promises additional value.
Key questions:
- Are consumers sufficiently supplied with information to support decision-making and their daily work? What is missing and what can be improved?
- Which technologies are the most promising to enhance ease of use for all users (ML in all areas, NLQ, NLG, automated insights)?
- How do companies optimize their business processes by integrating BI & analytics (BI & analytics apps, embedding, API calls etc.)? What are their plans in this regard?