Novetta Entity Analytics Delivers Critical Requirements for Advanced 360 Entity Views. The ability to bring together data from multiple sources and produce complete views of entities for analysis can dramatically transform how organizations perform analytics. Analytics tools and applications with access to advanced 360-degree entity views benefit from richer and more contextual insights than ever before. Although the term “360-degree view” has been in use for years, most often it refers to a view of a subset of data about a person gathered from internal structured sources and presented in master data management (MDM) software or stored in a data…
How Entity-Resolved Data Dramatically Improves Analytics
In my last two blog posts, I’ve written about how Novetta Entity Analytics resolves entity data from multiple sources and formats, and why its speed and scalability are so important when analyzing large volumes of data. Today I’m going to discuss how analysts can achieve much better results than ever before by utilizing entity-resolved data in analytics applications. When data from all available sources is combined and entities are resolved, individual records about a real-world entity’s transactions, actions, behaviors, etc. are aggregated and assigned to that person, organization, location, automobile, ship or any other entity type. When an application performs…
Go Beyond MDM and Realize the Value of Big Data
To get the most out of your Big Data, it’s about much more than just master data management (MDM). Novetta expert Jennifer Reed, Director or Product Management discusses how Novetta Entity Analytics helps customers go beyond MDM to realize the value of Big Data.
Why You Should Offload Your Data Warehouse to Hadoop
Last week, we announced our partnership with Knowledgent to deliver Hadoop-Powered Big Data and Analytics Solutions. This week’s blog post is published with permission from Knowledgent.Enterprise Data Warehousing (EDW) has been a mainstay of many major corporations for the last 20 years. However, with the tremendous growth of data (doubling every two years), the capacities of enterprise data warehouses are being exhausted. Load processing windows are similarly being maxed out, adversely affecting service and threatening the delivery of critical business insights. The need to store infrequently used, “just in case” data exacerbates this challenge by taking up (expensive) capacity. So how can…
