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Sponsored By
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Join the University of Akron's Business Analytics Innovation Summit to explore how digital transformation enabled businesses from different industries to better understand their data, make predictions, create visualizations, and derive insights.

Analytics Everywhere

Friday, September 30, 2022

Quaker Station, The University of Akron

Presenters

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Mark Ruffing

Assistant Director in Enterprise Analytics 
Cleveland Clinic

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Sean Mancini

Director Digital Supply Chain Analytics
Signet Jewelers

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Nate Turner

Data Scientist
FirstEnergy Corp

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Matt Fernandez

Innovation Center Business Analyst 
FirstEnergy Corp

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R.J. Nemer

Dean
The University of Akron College of Business

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Mike Conley

Chief Information Officer and Senior Vice President
Cleveland Cavaliers

Workshops

Chart on the digital tablet screen.

Power BI Desktop and Artificial Intelligence

Macauley Kloetzly

Microsoft Learning Consultant

  1. Understand the building blocks of Power BI Desktop

  2. Explore the data prep capabilities of Power Query

  3. Write formulas and model your data

  4. Begin visualizing data and formatting a report

  5. Connect to a sample Power BI dataset

  6. Explore how to make confident decisions using artificial intelligence capabilities

  7. Create a report with the Power BI service

Objectives:

Female employeee working in a server room

​You will learn how to setup a full data lake house architecture, from soup to nuts. You will build out the components in Azure using automated scripts, including metadata driven pipelines to saturate your data lake. You will also build out tables and connect Power BI to them to utilize the data.

  1. Build components in Azure with PowerShell scripts

  2. Build and run metadata driven pipeline to build data lake

  3. Build table/view in Synapse workspace

  4. Connect to table with Azure services

Building Lakehouse with Azure Synapse Analytics

Hope Foley

Microsoft Cloud Solution Architect

Objectives:

Objectives:

Objectives:

Coding
  1. Understand the basic elements of R programming, including how to create different types of data objects such as vectors, matrices, lists, and data frames and how to create custom functions

  2. Gain hands-on skills with the R interactive environment, including how to load the package and how to load structured data from data files, databases, and the web

  3. Gain hands-on experience on how to examine, summarize, and visualize data, how to perform and improve linear regression modeling, and how to transform data

R Programming: A Hands-On Tutorial

Dr. Liping Liu

Professor of Management and Information Systems

Objectives:

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Fill your information below for a chance to win one of eight free guest passes to the summit. 
First 8 people to register will win.

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Thank you for submitting! We will be contacting you by September 20th if you won the tickets.