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Description
Oracle's comprehensive CRM solutions present the most extensive and profound functionalities that assist organizations in enhancing their sales, marketing, customer loyalty, and service efficiency. When paired with Oracle's Commerce solutions, they create a seamless, integrated experience across various channels for customers. What sets Oracle CRM On Demand Industry Editions apart is their provision of specialized CRM solutions that are customized for distinct industries. In contrast to other cloud-based CRM offerings, Oracle CRM On Demand Industry Editions leverage Oracle's profound industry knowledge, delivering immediate business advantages to organizations in sectors such as automotive, high technology, insurance, life sciences, and wealth management from the outset of implementation. These editions come equipped with pre-configured business processes, data models, object models, and business logic that are specifically crafted to cater to the unique needs of each industry. This tailored approach ensures that clients can maximize their operational efficiency and achieve their business goals effectively.
Description
A data lakehouse represents a contemporary, open architecture designed for storing, comprehending, and analyzing comprehensive data sets. It merges the robust capabilities of traditional data warehouses with the extensive flexibility offered by widely used open-source data technologies available today. Constructing a data lakehouse can be accomplished on Oracle Cloud Infrastructure (OCI), allowing seamless integration with cutting-edge AI frameworks and pre-configured AI services such as Oracle’s language processing capabilities. With Data Flow, a serverless Spark service, users can concentrate on their Spark workloads without needing to manage underlying infrastructure. Many Oracle clients aim to develop sophisticated analytics powered by machine learning, applied to their Oracle SaaS data or other SaaS data sources. Furthermore, our user-friendly data integration connectors streamline the process of establishing a lakehouse, facilitating thorough analysis of all data in conjunction with your SaaS data and significantly accelerating the time to achieve solutions. This innovative approach not only optimizes data management but also enhances analytical capabilities for businesses looking to leverage their data effectively.
API Access
Has API
API Access
Has API
Integrations
Apty
Armour365
Blue Umbrella Status
Clear Spider
ClicData
DataMatch
Deltek Replicon Time
Descartes Pacejet
Diabolocom
Domo
Integrations
Apty
Armour365
Blue Umbrella Status
Clear Spider
ClicData
DataMatch
Deltek Replicon Time
Descartes Pacejet
Diabolocom
Domo
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
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/crmondemand/
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/data-lakehouse/
Product Features
Campaign Management
Channel Management
Contact Database
Email Marketing
Event Triggered Actions
Lead Management
Multi-Campaign
CRM
Calendar/Reminder System
Call Logging
Document Storage
Email Marketing
Internal Chat Integration
Lead Scoring
Marketing Automation Integration
Mobile Access
Quotes / Proposals
Segmentation
Social Media Integration
Task Management
Territory Management
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge