Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Dutch-originated customer data platform, Nominow, collects touchpoint data from any operational source within your organization. It consistently enhances and develops customer profiles into a singular data repository, which proves invaluable for any marketing initiative, event, or customer engagement you wish to pursue. Since each organization possesses its own tailored marketing technology stack, every implementation of Nominow is distinct. We collaborate with your team to evaluate the existing circumstances, contextual factors, and strategic goals for which Nominow will be utilized. This includes a thorough analysis of customer data sources and applications, the IT landscape, and particular requirements. Your Nominow setup is customized to align perfectly with your unique situation and needs. Our focus is on empowering you to manage your customer data effectively, ensuring that you have access to truly actionable insights whenever required. Typically, the process of implementing Nominow spans a duration of 6 to 8 weeks, allowing for a swift integration into your operations. This timeline ensures that your organization can quickly begin to leverage the full potential of its customer data.
Description
Integrate customer information from various online, offline, and third-party sources to develop a cohesive and dynamic real-time perspective of each individual customer. The Oracle Unity Customer Data Platform utilizes machine learning to recommend the most effective next steps within any current business workflows. It merges back-office and CRM data into a comprehensive 360-degree customer profile. By continuously collecting customer signals and updating the profile in real time, Oracle Unity ensures you have the latest insights about your customers at all times. Streamline and merge all your data sources—whether they are online, offline, or from first-, second-, and third-party origins—into a fluid and interconnected customer profile. Connect unique identities across multiple devices, channels, and platforms effectively. Leverage sophisticated privacy and identity management features to construct a unified and accessible profile. Furthermore, manage and enhance data quality by aggregating all information, including real-time behavioral signals, within a centralized repository, ensuring that your customer insights remain accurate and actionable. This comprehensive approach enables businesses to respond to customer needs more swiftly and effectively than ever before.
API Access
Has API
API Access
Has API
Integrations
Oracle Cloud Infrastructure
Adobe Analytics
Argent
Axi
BlueRetail
Cisco AnyConnect
Copernica
Decimal
EVOSYS TELEMATICS
FuturaERS
Integrations
Oracle Cloud Infrastructure
Adobe Analytics
Argent
Axi
BlueRetail
Cisco AnyConnect
Copernica
Decimal
EVOSYS TELEMATICS
FuturaERS
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Nominow
Country
Netherlands
Website
www.nominow.com/en
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/cx/customer-data-platform/
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling