Posts

Showing posts from November 4, 2016

The dynamic behind Oracle ID Graph

Image
Based on the reality that, the explosive growth in connected devices has created immense opportunities for marketers to engage with consumers at the moments that truly matter, the dynamic behind Oracle ID Graph highlights: 
Audience IDs based on the user’s environment; audience segments tied to the customer journey across devices, channels, media environments, and ID spaces. 
It also features Marketing and media professionals on their marketing strategies; relevant experiences to customers on whichever device they choose; the challenge of unifying consumer IDs from different platforms and devices in order to gain a holistic view of individual buyers. 
The ability to empower marketers and publishers to quickly and efficiently manage these multiple environments.
Now, major enhancements to the Audience Builder user interface within the Oracle Data Management Platform can help marketers visualize and manage ID source, with planned functionality to link these audiences via a self-service UI th…

The Audience Builder user interface within the Oracle Data Management Platform

Image
I can recall that, Oracle has released major enhancements to the Audience Builder user interface within the Oracle Data Management Platform to help marketers visualize and manage ID source, with planned functionality to link these audiences via a self-service UI through the Oracle ID Graph. 
In effect, the new user interface released aims to make it easier for users to manage and select ID types in order to identify, build, plan, and analyze audiences based on the device or platform within which the ID was originally created.

Key technologies fueling Self-Service Data Preparation Software industry

Image
I have a pleasure to recall that,from your favorite spreadsheet' software, now, there is a new class of software available that provides the business user with ease-of-use while allowing IT to maintain control and avoid the issues of spreadsheet sprawl.
For those who are unfamiliar, Self-service data preparation tools provide users with the ability to organize, cleanse, standardize, and repackage data into a specific format for business use. 
Among key technologies fueling Self-Service Data Preparation Software, we have machine learning, semantic analysis, and natural language processing. We also have self-service data preparation solution that integrates with external governance applications for centralized control and collaboration. 
A prescriptive process-oriented approach to data preparation activities, combined with a comprehensive data catalog provides text-based search capabilities to help users find data within a Hadoop cluster. 
IDC highlighted three emerging self-service da…