Short for Extract, Transform and Load - three processes that are combined into one action for pulling data out of one system, standardizing it and loading into another.
ETLs are often used to migrate data from one system to another, load data warehouses and aggregate data into data marts.
What is ETL?
"INSolve has been instrumental in the development of our data warehouse and business intelligence initiative. Their insurance expertise coupled with their experience, has been invaluable to the success of our project. We were able to complete the first phase of our project within five months, two months ahead of schedule... [This] would not have been possible without the quality of consultants at INSolve."
Mark Zimmermann
(Chief Financial Officer)
APMC Insurance Services

INSolve's Data Services
Gain Easy Access to Your Data

Insurance companies of all shapes and sizes often have a multitude of data sources and islands of disparate information strung over different legacy applications. These various systems are often used by different departments or even located in different geographies.
Consolidated information access and retrieval plays a key role in the day-to-day operation of any enterprise. Since the different operational systems and their databases are often not interconnected in a functional and reliable manner, staff usually have to rely on band-aided processes to perform their daily work.
Difficulties often can abound when trying to search through various systems and consolidating data to create that mission critical requirement, let’s say that ever important analysis report for the annual executive review. Throw in a request by management asking for information in a real-time environment, not expecting to be told the information will take several days or weeks to compile.[Contact INSolve to learn more]
Without the proper source system links, reliable data access mechanisms and consolidated views of the data, time and resources are often wasted.
INSolve offers Data Transformation Services to aid Insurance companies in gaining a better understanding of this data, both from internal and external sources.

Leveraging a customer’s existing information technology investment and utilizing insights into to the dynamic landscape of the insurance market, INSolve have been able to determine the most efficient methodologies needed to accomplish the tasks at hand – consolidation of meaningful data.

Understanding Insurance specific data and fully visualizing solutions that meet the needs of the industry has given INSolve the ability to develop working data transformation solutions on time and on budget.

INSolve’s Data Transformation Unique Philosophy

  • Develop successful Data Transformation processes that will reduce maintenance and deployment costs.
  • Help consolidate clients’ data regardless of source or technology platform.
  • Standardize data for consistency and integrity allowing it to be used within decision support systems
  • Ensure proper load balancing for optimal resource utilization.
  • Get the job done, on time, and on budget
Want to learn more? Contact INSolve Today
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