Session 10: Build Voice Of Customer Tool By Power Platform

When is it?
November 16th – 1pm Los Angeles (PST), 4pm New York (EST), 9pm London (GMT)
November 17th – 8am Sydney (AEDT), 10am Auckland (NZDT)

How long is it?
Session will run for approximately 1 hour

Where is it?
Join in from your laptop, desktop or connected device

Who’s doing it?
Presented by Solar Zhu – Enterprise DNA Ambassador

During This Free Event, You Will:

• Identify business pain points through the Voice of the Customer Analytics in Power BI
• Leverage the Power Platform toolbox to glean insights and track metrics
• Explore the appropriate tools for your Customer Service Analytics Continue reading “Build Voice Of Customer Tool By Power Platform | Industries Analytics & Applications Summit” →

In this video, Sam is going to show how you can calculate the days since a customer’s last purchase using DAX in Power BI. Based on this, we can get actionable insights to encourage retention among our customers. Lots of great actions can be initiated from such an insight.

***** Video Details *****
00:00 Introduction
01:22 Finding out the date of last purchase
02:25 Working out the last purchase date
03:19 Determining the days since last purchase
05:58 Using a threshold

***** Learning Power BI? *****
FREE COURSE – Ultimate Beginners Guide To Power BI – http://portal.enterprisedna.co/p/ultimate-beginners-guide-to-power-bi
FREE COURSE – Ultimate Beginners Guide To Continue reading “How To Calculate Days Since Last Purchase Using DAX In Power BI” →

Session 5: Retail Sales Cases

When is it?
November 15th – 9pm Los Angeles (PST)
November 16th – 12am New York (EST), 5am London (GMT), 4pm Sydney (AEDT), 6pm Auckland (NZDT)

How long is it?
Session will run for approximately 1 hour

Where is it?
Join in from your laptop, desktop or connected device

Who’s doing it?
Presented by Ilgar Zarbaliyev – Founder of ExcelWorld

During This Free Event, You Will:

• Forecast sales seasonality using analytical tools and data
• Learn to determine seasonality in sales with Microsoft Power BI
• Apply correlation technique to identify seasonal items Use dynamic sales forecasting techniques to generate more accurate revenue gains and losses
• Test Continue reading “Retail Sales Cases | Industries Analytics & Applications Summit Session 5” →

Session 3: Financial Modelling In The Banking Industry

When is it?
November 15th – 10am Los Angeles (PST), 1pm New York (EST), 6pm London (GMT)
November 16th – 5am Sydney (AEDT), 7am Auckland (NZDT)

How long is it?
Session will run for approximately 1 hour

Where is it?
Join in from your laptop, desktop or connected device

Who’s doing it?
Presented by Rishi Sapra, MVP – Group Manager, Avanade

During This Free Event, You Will:

• Take industry Income Statement/Balance Sheet data for 4 Banks (Barclays, Citi, HSBC, Lloyds) and turn it into a financial reporting solution in Power BI
• Create an interactive benchmarking report comparing the financial performance of the Continue reading “Financial Modelling In The Banking Industry | Industries Analytics & Applications Summit Session 3” →

In this video, Sam will showcase how you can really quickly and effectively understand anomalies in your data sets by combining many Power BI techniques around DAX.

***** Video Details *****
00:00 Introduction
01:40 Showcasing Anomalies In Your Data Set
03:38 Understanding Anomalies In Power BI
04:57 Conclusion

***** Learning Power BI? *****
FREE COURSE – Ultimate Beginners Guide To Power BI – http://portal.enterprisedna.co/p/ultimate-beginners-guide-to-power-bi
FREE COURSE – Ultimate Beginners Guide To DAX – http://portal.enterprisedna.co/p/ultimate-beginners-guide-to-dax
FREE – Power BI Resources – http://www.enterprisedna.co/power-bi-resources
FREE – 60 Page DAX Reference Guide Download – https://www.enterprisedna.co/dax-formula-reference-guide-download/
Enterprise DNA Membership Continue reading “Understanding Anomalies In Power BI With DAX – Analytical Technique [2022 Update]” →