When managing big data, organizations will find that there will be many consumers of the vast amounts of data, ranging from applications and data repositories to humans via various analytics and reporting tools. After all, the data is an expression of the enterprise, and with digital transformation, that enterprise is increasingly expressed in the…
Payers, health plans, and integrated health systems run on data. Integration, processing, and analytics are integral to their business process and managing of costs and risk. The role of payers in the healthcare industry has been expanding for years. As care models have shifted from fee-for-service to coordinated and value-based care, payers and providers…
Data Lakes, Data Warehouses, and Data Hubs - Do we need another choice? There’s a long-standing debate, dating back to the early days of Hadoop, about what kind of data repository is best for a given data analytics use case. A Data Lake? A Data Hub? A Data Warehouse? Despite Hadoop’s fall from grace,…
Are you still doing point-to-point integrations between your IT applications? If you are, please stop. It makes life difficult for your IT support staff, increases your overhead costs, and makes it harder for you to be agile and to evolve your integrations as business needs change. Instead, consider whether this is the right time…
If you are still using point-to-point integrations to move data through your IT environment, then you are spending too much money and missing the opportunities a modern data can provide. A data hub is a centralized service that connects all of your IT systems, whether they be Web applications, IoT devices, SaaS solutions, or…
