Unified Data Analytics
What are Unified Data Analytics?
Unified Data Analytics involves using technology—namely AI—to analyze and interpret data collected from disparate sources. Unified Data Analytics includes the process of interpreting data from any number of disparate silos in an enterprise environment. The goal is to create a more accurate source of truth that drives smarter business decisions regarding products, sales, and customer journeys.
What is unified data?
Unified data is the result of collecting and organizing data from various sources in order to provide better customer service, product development, company culture, workflows, and enterprise processes.
An example of disparate data sources would be the variety of ways a customer might provide feedback. That feedback could be submitted via:
• Online forms
• Social media
• Customer service calls
• Live chat through company website
Since some of it is written, and other feedback is collected via customer service and logged in the customer’s account, one could see how difficult it would be to create accurate, well-rounded data sets that are profitably actionable.
Consider, then, that other data sets could be analyzed and cross-referenced for an even clearer picture. That data may include:
• Consumer buying behaviors
• P/L models based on employee behaviors at point of sale
• Consumer journey steps
• Product lifecycle analytics
Unified data helps to collect all that data and organize it into data sets that are measurable and actionable.
What are the key benefits of Unified Data Analytics?
Unified Data Analytics helps enterprises with product development, customer turnover, and other complex enterprise challenges, as AI-driven data analysis often employs models that can be iterated and fine-tuned.
HPE and Unified Analytics
Today’s modern business needs to be rooted in data analytics; however, businesses are finding that data silos, disconnected data teams, and a lack of standards are making it difficult to achieve the insights required to spark that next innovation. Solving these problems requires rotating away from traditional data and analytics solutions to modern environments without impacting security and compliance or adding complexity.
Solve these challenges with a unified data experience that allows teams to connect securely to data where it exists today without disrupting existing data access patterns. From day one, HPE Ezmeral Unified Analytics connects to datastores, data lakes, clouds, files, and objects exactly where they exist in a controlled manner. Deploy on-premises, hybrid, or multicloud, or run with HPE GreenLake.
HPE Ezmeral Data Fabric File and Object Store provides a unified data experience across data lakes, files, objects, streams, and databases. It provides a persistent datastore without migrating or moving data, refactoring applications, or impacting service levels, compliance, and security. The result is increased elasticity, efficiency, and agility for your data-driven enterprise.