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STORIES & SOLUTIONS FOR THE MODERN BUSINESS USER

Stay in the know on evolving trends, key industry insights, and the expansive digital landscape from our experienced team.

 

Posts by:

Jason Wood

Three Reasons to Use Alteryx for Your Workday Data Conversion Process

When deploying Workday, one of the biggest churns of the entire project can be the data conversion process to migrate data from legacy systems into Workday. Organizations across industries have legacy data in a variety of unique sources and formats, and much of that data will need to be imported to Workday-specific templates that often require complex, non-traditional manipulation and formatting of the data in order to be loaded into Workday. A Workday data conversion that leverages Alteryx can reduce data conversion project timelines, improve data quality, mitigate manual errors, automate conversion workflows, improve efficiency and ultimately improve the experience of the data conversion workstream.

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The University of Georgia’s Analytics Journey: From Spreadsheets to a Culture of Data

Holley Schramski, the former associate vice president of finance at the University of Georgia, recognized that her team was performing a lot of manual labor for their data processes. She recalls her associate controller being frustrated as Excel kept crashing while she tried to wrap up financial statements. Schramski said that UGA was “never going to evolve from a transactional operation to becoming more analytical unless we stopped all of our manual processes and started automating processes for our team.”

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How Analytics Helped Detect Duplicate Payments for The State of Ohio’s Office of Budget and Management 

Second chances are awesome, but second payments to vendors are not. Controlling duplicate payments can be challenging, and not catching it early on can be costly. Within the public sector, this amount is significantly higher due to the typical size and volume of payments. According to the US Government Accountability Office (GAO), in fiscal year 2019, agencies across the government made an estimated $175 billion in improper payments – payments that should not have been made or were made in the incorrect amount.

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