Top business intelligence keynote speakers and analytics futurist virtual speaking presenters are asked to present on a huge range of subjects. A few of the most frequent can be found below.
- Data-driven decision making – How BI and data analytics can inform better, faster decisions. From business intelligence keynote speakers’ standpoint, it helps to draw on use cases across industries.
- Emerging tech and trends – New technologies like AI, machine learning, natural language processing, and how they are shaping the future of BI.
- Data democratization – Making data insights accessible to everyone across the organization, not just analysts. Tips for building a data-driven culture by way of a business intelligence keynote speaker’s perspective.
- Data visualization – Best practices for visualizing and presenting data in meaningful ways through dashboards, reports, graphs etc. Effective storytelling with data.
- Big data and cloud – Harnessing massive datasets and the power of the cloud for scalable BI and data warehousing.
- Data governance – Developing frameworks, policies and processes as a business intelligence keynote speaker for managing data as an enterprise asset. Issues like ethics, privacy, security, and compliance.
- Predictive analytics – Using statistical and machine learning models to identify trends/patterns and make predictions. Real-world examples of predictive analytics in action.
- Text and sentiment analysis – Deriving insights from unstructured text data using NLP. Sentiment analysis applications.
- Data integration – Strategies that business intelligence keynote speakers and analytics futurists recommend for combining data from disparate sources into a single version of truth. ETL, data virtualization, master data management.
- BI implementation – Keys for successful BI platform evaluation and rollout. Change management strategies.
- BI trends – Innovations like augmented analytics, embedded BI, hyperautomation and how they will impact the BI landscape.
Most speakers’ talks showcase the transformational potential of the practice, and provide strategies for leveraging data analytics.