“Data Analytics and Business Intelligence: From Insights to Actionable Decisions”:
- Understanding Data Analytics and Business Intelligence
- Key concepts of data analytics and business intelligence
- Importance of data analytics and business intelligence in making informed business decisions
- The difference between descriptive, predictive, and prescriptive analytics
- The benefits of combining data analytics with business intelligence tools
- From Data to Insights
- The data analytics process: data collection, cleaning, exploration, analysis, and interpretation.
- Common data analytics techniques, such as regression analysis, clustering, and machine learning.
- Examples of insights derived from data analytics.
- From Insights to Actionable Decisions
- How insights can be turned into actionable decisions.
- The importance of data visualization and communication in presenting insights to decision-makers.
- The role of business intelligence tools in facilitating decision making.
- Examples of actionable decisions made from insights.
- Best Practices and Pitfalls
- Best practices for implementing data analytics and business intelligence in organizations.
- Common pitfalls to avoid when implementing data analytics and business intelligence.
- The importance of continuous improvement and learning in data analytics and business intelligence.
- Q&A
- Q&A for attendees related to the topic of the webinar.
- Conclusion
- Summary of the key takeaways from the webinar & Thanks Note.
Our Panelists
Ishtaiq Khurshi- Senior Project Manager, Head of PMO,
Our Moderator
Ehsan Elahi– Foinding Directory EZIT Technologies Ltd