Lyftrondata Workload used
API Data Hub
Bluegrass is an industry-leading asset and facility management solutions provider in North America. Their clientele range from restaurants, and retail to transportation and logistics providers. Novel in their approach, the Bluegrass business model utilizes a network of service providers to outsource client work and use emerging technologies combined with analytics to drive optimization in their operations. All with a single purpose in mind – lowering the total cost of business ownership.
Facilities Maintenance Provider
The need to give their clients the most up-to-date and accurate information about the performance of their assets in Bluegrass' business model to enable better data-driven decisions.
The company discovered that because each client used a different data warehousing platform to manage their data, it was difficult to balance operations among a variety of clients.
Due to issues and insufficient analytics implementation, a process was far from being deliverable in real time.
The outcome was a performance level that was below ideal, and the business found it difficult to record execution processing speed.
It was affecting their relationships with clients and vendors alike.
The issue of integration between different platforms being used by Bluegrass customers was solved when Lyftrondata delivered a data management platform that combined a traditional data pipeline with agility for rapid data preparation.
Data processing was further streamlined, ensuring data synchronicity throughout the enterprise, and freeing up resource loads otherwise required for data pipeline tasks. Lyftrondata enables delta load catching to optimize data updates to the warehouse, delta load jobs were scheduled to run every hour to pick up the changes.
Lyftrondata empowers Bluegrass to handle the migration of data from Oracle, and Hadoop in the cloud data warehouse and enables a centralized data hub to allow for a single point of reference for data access across the organization. Lyftrondata cut down the data management journey of Bluegrass by 75% and increased their query performance by 200% with the compute power of Spark and Snowflake.
Established across-platform automatic modern data pipeline
Built an advanced
data lake on Spark and Snowflake
Empowered faster data migration from Oracle, Netteza, Hadoop to Modern Datahub
eliminated data silos
with tag based
Super streamlined data processing with Lyftrondata and Spark
Established log capture of vital processing statistics with execution plan
Enjoy an average of
increase in data
processing speeds with Snowflake Data Sharing
customer retention rate
Rank as the
company in North America (inc.com)
orders per year
of services annually
Process payments to vendors
Bluegrass was able to perform nearly "real-time" analysis of their customers' data and deliver them trustworthy analytical reports thanks to the new system Lyftrondata implemented.
Bluegrass has been able to compete in its industry, attract opportunities for growth and expansion, and appear on INC magazine's list of the fastest-growing companies in America thanks to this simplified data analysis procedure.
Lyftrondata's implementation of new efficient processes has raised the quantifiable level of satisfaction among both its customers and vendors.
Bluegrass can view real-time updates on their vendor’s work at a client site and can pay them almost immediately after task completion.
Bluegrass successfully manages over 1.1 million assets across more than 65,000 locations, processes over 3.5 million orders annually, and costs over a billion dollars annually. It also boasts a 98% customer retention rate. All of this is made possible by the processes that are streamlined by our data modernization solution.