This webinar was held on 30 July 2020. Business intelligence tools are beginning to transform how we deliver projects. Within this webinar we provided some tips on how to get started and help to demonstrate the art of the possible.
Business intelligence tools offer the potential to transform the role of many project delivery professionals. From integrating and cleaning up data through to the creation of automated reports and predictive insights. But this is just the tip of the iceberg!
We provided an overview of the different capabilities on offer then drilled down into how to get started on PowerBI. We directed you to resources and provided some tips and tricks.
We then created a report to show you how easy it is.
We opened your minds to the full potential, explaining about some of the custom visuals, what DAX can do for you and how Python can help.
We provided a few useful cases and helped to show the art of the possible.
We also explained some of the pitfalls to avoid.
Dr James Smith is the Chief Technology Officer at Projecting Success. He is responsible for a wide scope, spanning full stack development through to data science and AI. James has a passion for optimising and transforming how projects are delivered using the latest advanced methods in data analytics, where he has been lead for around 30 projects. He is immersed in visualisation, graph databases, Python, machine learning algorithms and regularly grapples with the challenges that exists with real world data. He also leads the teaching on the project data analyst foundation degree apprenticeship.
James has very kindly allowed his presented material to be made available for viewing. The webinar recording on YouTube is now available in our APM resources area and also embedded below for reference.
Previous presentations and webinars can be viewed on the APM Slideshare and YouTube channels. Follow @APMEvents for upcoming event information.
This event is suitable for professionals with any level of experience.
APM Body of Knowledge 7th edition reference
|4.3.1||Progress monitoring and reporting|