For those who are managing an analytical solution implementation or trying to select a solution for business users, it is important to understand the terms and the features and function of these solutions so that you can select the appropriate solution. DATAVERSITY brought this news to our attention in their article, “What is Augmented Analytics and Why Does it Matter?”
The two terms you should understand are smart data discovery and augmented data preparation. Smart data discovery goes beyond data monitoring to help business users discover subtle yet important factors and identify issues and patterns within the data so the organization can identify challenges and capitalize on opportunities. Smart data discovery tools should enable gathering, integration and analysis of data, then allow users to share findings and apply strategic and operational activities.
Augmented data preparation empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff. It allows users access to crucial information and allows them to connect to various data sources.
In addition to those, augmented analytics automates data insight by utilizing machine learning and natural language processing to automate data preparation and enable data sharing.
It is not always easy to stay abreast of the terms, techniques and solutions in the analytics domain, but it is well worth the effort.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
