Microsoft Fabric

An evaluation engagement that will set up Fabric POC workflow to create Dashboards and Reports based on your data.

This limited implementation is designed to evaluate if Fabric platform is right for your organization’s Business Intelligence initiative. We set up Fabric POC workspaces and other workloads within Fabric such as Azure SQL Data Warehouse, Azure data Factory, Lakehouse, Power BI POC Dashboards and Reports using your data and show the capabilities of Power BI to slice and dice your data. This Proof-of-Concept implementation can be expanded to your production environment.

Deliverables

  • Provisioning of Fabric license
  • Setup Data Sources for Fabric
  • Setup of Pipelines to load data
  • Setup of Warehouses to store data
  • Setup of Data Model in Fabric
  • Setup of Dashboards and Reports in Fabric using your data
  • Show capabilities of Power BI by slicing and dicing your data

Agenda

Day 1
Kick-off meeting with you, review of your current BI processes, and finalize the scope of POC with you.
Day 2
Provisioning of Fabric subscription and setup of data sources for Fabric.
Day 3
Setup of Data Model for Fabric.
Day 4
Setup of Dashboards and Reports in Power BI using your data. Show capabilities of Power BI within Fabric by slicing and dicing your data.
Day 5
Final walk through with you, Proof of Concept closure, and planning of next steps.

Our Customer Stories

National Law Firm Modernizes Analytics with Power BI

VNB Consulting assisted a national law firm to implement a modern analytics solution using Microsoft Power BI …

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Payment Processing Company Case Study

Payment Processing Company Implements a Tool to Analyze Customer Activity and Better Retain Existing Customers

VNB Consulting helped a payment processing company develop a tool that enabled them to analyze customer behavior …

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Empowering a Utilities Company with Seamless OBIEE to Power BI Migration for Amplified Analytical Advantages

VNB Consulting helped a Utilities company migrate from OBIEE to Power BI, resulting in significant cost savings while also improving their analytics capabilities. 

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