A modern analytics strategy built on a strong data foundation is the key to success for modern enterprise businesses. But how do you achieve that foundation? A recent Harvard Business Review survey of global executives found that 80 percent of respondents say their organizations are struggling to become mature users of data and analytics, and 45 percent say their organizations operate on-premises IT systems that are at or near performance capacity. To help overcome these challenges and modernize their approach to enterprise data and analytics, many businesses are moving to cloud data warehouses or data lakes.
Every company takes a unique approach to modernization. Whatever path you follow, achieving that goal requires more than just shifting workloads to the cloud. Without integrated enterprise data management that is metadata driven, built for the cloud, and works across hybrid environments, your initiative may fail. Below are the stories of how four organizations successfully increased agility, flexibility, and scalability by using Informatica’s intelligent, automated data management solution to build a modern data platform on Microsoft Azure Synapse Analytics (formerly SQL Data Warehouse) and/or Azure Data Lake Storage (ADLS).
Kelly Services, a leader in the temporary-staffing industry, expedited their talent-selection process with a modern and connected talent platform for hybrid architectures. The company drove faster application development to support job placements with Informatica Intelligent Cloud Services (IICS), Master Data Management, and Microsoft Azure Synapse Analytics.
Kelly Services migrated multiple legacy on-premises data warehousestoAzure Synapse to create an agile, flexible analytics architecture that provides a complete view of candidates. The organization integrated data from customer and partner systems to facilitate greater data mining and insights. By modernizing their data analytics approach, the company achieved 99.99% accuracyin identifying duplicates and faster application development to support job placements. To learn more about Kelly Services’ journey, read this blog post and check out their video and success story.
Similarly, a commercial healthcare business was using an eight-year old, on-premises data warehouse applianceto store data from multiple areas, including supply chain, finance, quality, and commercial. The appliance suffered from poor performance, was costly to maintain, and required six people to curate data.
The company wanted to modernize by moving to a cloud-based data warehouse solution, eliminating the future need to deal with end-of-support hardware and giving them more functionality and scale. They selected Informatica Intelligent Cloud Services to migrate their on-premises data warehouse appliance to Azure Synapse.
The new cloud platform on Azure will provide more agility, with the ability to integrate more data sources than they were able to with their on-premises system, enabling them to easily scale to meet new business needs in the future. In addition to lower licensing costs compared to the on-premises data warehouse, the cloud-based solution will provide high availability and eliminate on-premises maintenance tasks, allowing administrators to focus on more value-added IT services.
A global transportation company wanted to improve and accelerate data governancewhile tracking end-to-end data lineage and empowering users to easily locate data with a simple search. The global firm needed to enable data analysts and business usersto prepare cataloged data for analysis without help from IT.
The company is modernizing their infrastructure with a cloud Data Lake on Azure using Azure Data Lake Storage and Informatica Data Engineering Integration, Data Quality, and Multidomain MDM solutions to integrate, verify, and deduplicate data from ships and legacy systems.
