ValQ Model with Multiple Data Series in Microsoft Power BI

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Duration 55 minutes
Speakers
Kunal Jethwa Sr.Manager Planning, Center of Excellence
Short Description

In this webinar, we are going to look at a few data series and create data table relationships to further use it in our case study.

The data source file used in the webinar can be accessed here.

Build a comprehensive planning model with different data series like forecast, inventory, capacity & product pricing using ValQ.

Majority of this webinar will showcase live demonstration covering some good practices around ValQ & Power BI Desktop.

Outline / Highlights

  1. Data Modelling
  2. Data Interpretation
  3. Manufacturing Cost Analytics
  4. Expense Budgeting
  5. Visualization
  6. Business Intelligence
  7. Supply Chain Analytics
  8. Capacity Planning
  9. Operations Planning

& more ……

Who should attend ?

  • Power BI users & Data Analysts
  • Supply Chain Analysts
  • Business Planners / Business Analysts
  • Category Planners / Category Managers
  • Product Line Management
  • Sales Channel Management
  • Manufacturing Heads
  • Capacity Planners
  • Production Planners
  • Material Resource Planners

… and Sales & Operation Planning professionals

About the speaker:

Kunal Jethwa is the Sr. Manager Planning Center of Excellence at Lumel Technologies Inc. Kunal is an experienced Demand Planning Manager with a demonstrated history of working with industries like Chemical, Medical Devices, Robotics & Health Nutrition, and Nutraceuticals.

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About ValQ!
ValQ empowers analysts, executives and decision-makers across departments and functions. Model any business scenario in minutes, build complex business plans, what-if simulations, create & compare budgets, forecasts and scenarios – all within Microsoft Power BI. The product is developed by Lumel Technologies (formerly Visual BI), which has a decade of experience in building add-on solutions on top of BI platforms (SAP BI and Power BI) with our suite of innovative products such as xViz, Inforiver and BI Hub.

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