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TRANSCAT

CONSOLIDATING DATA SOURCES MORE EFFICIENTLY

Simplified Database Migration

“Transcat ultimately chose to work with EagleDream because they are one of the only companies that actually focus on helping you get the job done and always put your business first. There’s a level of transparency when working with the EagleDream team that’s hard to find with other tech vendors.”

ANDY QUARANTO
Senior Vice President/Chief Information Officer

Trust In Every Measure

With over 50 years of experience in servicing some of America’s largest companies, Transcat is committed to delivering quality service to their targeted industries by offering a unique approach in test, measurement, and control instruments.

CHALLENGE

Transcat came to EagleDream in search of a way to better manage their data. With several data sources, it became challenging to find the most efficient way to report on data across the organization. Although Transcat was experienced in working with the cloud, they were seeking that next level expertise in AWS tools and services that EagleDream provides. EagleDream worked with Transcat to build a data lake that would meet their needs while carrying various other business intelligence projects.

SOLUTION

EagleDream began by identifying and consolidating Transcat’s multiple data sources. Mostly internal ERP data, one of the biggest challenges was deciphering what was previously done in the past, and use that insight to simplify the data moving forward. Together, the teams worked to automate the extraction of the data so they could simplify how it was pulled into the data lake.

EagleDream was able to successfuly organize Transcat’s data into a data lake that was constructed using Amazon Web Services (AWS) tools and services. The data lake consumes unstructured data and uses tools such as AWS Glue and Amazon Redshift to crawl and organize the data making it easier to analyze.

As a result, Transcat was able to streamline their reporting process. Most of their reporting dashboards live in Amazon QuickSight, making it much easier to visualize. Using these dashboards, Transcat is able to benchmark productivity metrics and more effectively assess where they can improve business processes, opening doors to new ways of data analysis.

Results

Transcat is now able to benchmark productivity metrics and more effectively assess where they can improve business processes, opening doors to new ways of data analysis.

AWS SERVICES USED

  • Amazon Aurora
  • Amazon S3
  • AWS Lambda
  • AWS Database Migration Service
  • Amazon Redshift

ALL THE GOOD STUFF THAT MADE IT SUCCESSFUL

Key Benefits & Successes

SELF-SERVICE REPORTING

Using Amazon QuickSight, Transcat users can quickly and easily pull reports for service revenue, units completed, and profit and loss, as well as dashboards for their data. No longer do they need someone else to pull the data for them – team members can quickly access the data need when and where its convenient for them.

MORE PRODUCTIVE USE OF RESOURCES

Using the data lake, Transcat’s team is saving time and boosting productivity. Their team can now dedicate more time focusing on tasks that are more valuable to the business, instead of sorting through years of data stored in a traditional data warehouse.

OPPORTUNITIES FOR MACHINE LEARNING

The data lake was just one of the first steps on their cloud transformation journey. Now, they are eager to explore opportunities using Machine Learning and predictive analytics.

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Phone: 1.844.4EAGLEDREAM | Email: info@eagledream.com