How To Turbocharge Your Application with Contextual Analytics

Fewer patients, preventative screenings, and primary care visits. Lower revenues. Worsening population health outcomes. The healthcare industry is facing serious challenges to its business model as consumer behavior shifts to other ways to meet their healthcare needs or a complete failure to seek care until conditions become acute. The need to meet consumers where they are and engage with them on their terms has never been more urgent.

Few things bring down the value of data faster than confusion and uncertainty about what it is, where it came from, and whether it is good quality data. Yet as more users seek to access and interact with data and reports for business intelligence and analytics and as data sources become larger and more varied, confusion and uncertainty spread fast. Executives, managers, regulatory administrators, and other key personnel cannot rely on their reports, KPIs, and dashboards. Users cannot even find reports that the organization is producing. Instead, users spend more of their time trying to locate data and reports and correcting mistakes than they do applying data insights to solve business problems.

Digital transformation means that data drives more of our lives, more than ever. Data analytics is an essential skill for extracting information and meaning from data to support decision-making and power digital systems.

Cloud data management CDM is simply data management that involves clouds. For example, when focused on data persistence, CDM provides cloud-native data storage and optimized processing for the burgeoning volumes of enterprise data, big data, and data from new sources that users are choosing to manage and use on clouds. When focused on integration, CDM provides data integration infrastructure (with related functions for quality and semantics) to unify multicloud and hybrid on-premises/cloud environments.