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Description
Datafi offers a comprehensive data platform tailored for business teams, effectively merging fragmented data systems while ensuring robust data security. It also facilitates self-service data workflows, allowing business users to effortlessly locate, utilize, and share essential information. Organizations choose Datafi to enhance their data capabilities, empowering a broader range of individuals to make quick and informed decisions based on data. With Datafi, accessing any data becomes straightforward and valuable for all users. It provides clarity on data access and utilization, which is crucial for organizations aiming to harness their data for impactful business results. Data-forward companies recognize that simplifying and securing data access is foundational for unlocking new business potentials. By fostering innovative applications of business data, companies can generate transformative outcomes, and those that prioritize enhancing data literacy are more likely to uncover insights that lead to improved services for their clients. In embracing a culture that values data, organizations set the stage for continual growth and advancement.
Description
Regardless of the location of your data, it should empower you to achieve improved results. Enhance these outcomes by linking, exploring, and enriching your data effectively. Convert your data into practical insights and actionable information that can drive decisions. Ensure that your data remains accessible for every application you require. By uniting all of your disparate data sources, both structured and unstructured, you can attain a comprehensive view and oversight of your organizational data environment. Leverage no-code and low-code platforms to make data manipulation straightforward and inclusive for everyone. Provide valuable services to your organization by building a network of information that might otherwise stay concealed in separate data silos. The data fabric functions as a bridge, facilitating seamless and secure data transfer among various departments, databases, and platforms, regardless of their foundational technology. Manage expenses effectively while maintaining robust security measures. Avoid allowing your applications to dictate the processing location of your data. Objective 3Sixty is versatile, capable of being implemented either on-premises or in a cloud environment, ensuring flexibility for your organizational needs. This adaptability allows users to choose the most suitable setup based on their specific operational requirements and strategic goals.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Salesforce
Alfresco Digital Business Platform
Amazon Aurora
Amazon Redshift
Amazon Web Services (AWS)
Box
Databricks
DocuWare
Ephesoft
Integrations
Amazon S3
Salesforce
Alfresco Digital Business Platform
Amazon Aurora
Amazon Redshift
Amazon Web Services (AWS)
Box
Databricks
DocuWare
Ephesoft
Pricing Details
$0.005 per query
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
Datafi
Country
United States
Website
datafi.us
Vendor Details
Company Name
Objective Corporation
Founded
1987
Country
Australia
Website
www.objective.com/products/objective-3sixty
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
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
