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What is UnifiedVU Platform?

Boost the efficiency and effectiveness of your everyday tasks and workflows across multiple software platforms. By utilizing a unified interface, you can bring together all critical elements into one streamlined view, enhancing your business operations effortlessly. There's no requirement to discard your current software, as UnifiedVU seamlessly integrates with them in real-time, ensuring that no data is stored on our servers. All customer information from various departments such as marketing, sales, finance, projects, and support is combined into a single, cohesive perspective, providing actionable insights that allow you to focus on increasing revenue and managing expenses effectively, rather than spending time collating reports from various systems and teams. Previously, the practice of exporting data to CRM systems limited access to valuable information for non-licensed users, an approach we believe hinders business development. UnifiedVU promotes intelligent sharing of data snippets and essential functionalities across your organization, enhancing collaboration and productivity. By eliminating obstacles to accessing information, we facilitate improved decision-making processes and stimulate innovation within your team. This integrated approach not only simplifies data management but also empowers employees at all levels to contribute to the organization's success.

What is Azure Data Factory?

Effortlessly merge your data silos with Azure Data Factory, a flexible service tailored to accommodate a wide range of data integration needs for users of varying skill levels. The platform allows you to create both ETL and ELT workflows without the need for coding through its intuitive visual interface, or you can choose to implement custom code if that suits your preferences better. It also boasts seamless integration capabilities with more than 90 ready-to-use connectors, all included at no additional cost. With a strong emphasis on your data, this serverless integration service takes care of all the complexities for you. Azure Data Factory acts as a powerful layer for data integration and transformation, supporting your digital transformation initiatives. Moreover, it enables independent software vendors (ISVs) to elevate their SaaS offerings by integrating hybrid data, which helps them deliver more engaging, data-centric user experiences. By leveraging pre-built connectors and scalable integration features, you can focus on boosting user satisfaction while Azure Data Factory adeptly manages backend operations, thereby simplifying your data management processes. Additionally, this service empowers you to achieve greater agility and responsiveness in your data-driven strategies.

Media

Media

Integrations Supported

Intuit Field Service Management
Mailchimp
Salesforce
Zendesk

Integrations Supported

Amazon Redshift
Azure Data Lake
Azure Marketplace
Azure Service Fabric
DataHawk
Google Cloud BigQuery
JAMS Scheduler
Microsoft Customer Lockbox
Microsoft Fabric
NLSQL
New Relic
Rackspace
SSIS
Sirius
Suntek Reporting
Zipher

API Availability

API Availability

Pricing Information

$45 per month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

UnifiedVU

Company Location

United States

Company Website

unifiedvu.app/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/data-factory/

Categories and Features

Integration

Not specified

Categories and Features

Data Integration

Not specified

Data Management

Not specified

Data Pipeline

Not specified

Data Preparation

Not specified

ETL

Not specified

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources

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