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What is CData Power BI Connectors?

Your organization depends on swift access to data from its backend systems to generate actionable insights that drive growth. The CData Power BI Connectors play a vital role in enhancing the value chain of your data. These connectors offer the most efficient and user-friendly way to integrate Power BI with more than 250 enterprise data sources, enabling you to fully leverage Power BI for in-depth data analysis. Effortlessly, you can link Microsoft Power BI to live data from various sources, including accounting, CRM, ERP, marketing automation, and both on-premise and cloud-hosted systems, facilitating real-time visual analytics and reporting. Notable data sources compatible with Power BI connectors include: - Microsoft Dynamics CRM - MongoDB - NetSuite - QuickBooks - Sage Intacct - Salesforce - SAP - SharePoint - Snowflake - And over 200 other sources! Additionally, the CData Connectors improve query speed and overall performance with advanced functionalities such as DirectQuery and QueryPushdown, ensuring your data analysis process is both swift and effective. By utilizing these capabilities, businesses are better equipped to make well-informed decisions based on the most current data available. This integration not only streamlines workflows but also enhances collaborative efforts by providing teams with shared access to critical insights.

What is CData Excel Add-Ins?

CData Excel add-ins can be seamlessly integrated into Excel, enabling users to connect effortlessly to real-time data from more than 200 diverse sources directly within the application. This integration facilitates quick access to information from various platforms like CRM, ERP, sales and marketing systems, along with cloud and database solutions. Users can make updates directly in Excel, regardless of where their data is stored, enhancing the overall functionality of their workflows. Notable connections include Quickbooks, Sage, Salesforce, HubSpot, Microsoft Dynamics 365, MySQL, SQL Server, eTrade, and many others. The CData Excel Add-ins streamline the processes of reading, updating, and writing live data, making them perfect for mass data operations like imports, exports, and updates, as well as tasks related to data cleansing and de-duplication. Additionally, they empower users to perform Excel-based data analysis and much more with ease. Among the powerful features offered by these Add-Ins are bidirectional access to live data, an intuitive configuration process, and rapid capabilities for data exports, imports, backups, and various integrations. Overall, CData's tools significantly enhance productivity for any user working with data in Excel.

Media

Media

Integrations Supported

Microsoft Dynamics 365
Microsoft Excel
Microsoft SharePoint
MongoDB
NetSuite
QuickBooks Online
QuickBooks Online Advanced
SAP CRM
SAP ERP
Sage Intacct
Salesforce
Snowflake

Integrations Supported

Microsoft Dynamics 365
Microsoft Excel
Microsoft SharePoint
MongoDB
NetSuite
QuickBooks Online
QuickBooks Online Advanced
SAP CRM
SAP ERP
Sage Intacct
Salesforce
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

CData Software

Company Location

United States

Company Website

cdata.com

Company Facts

Organization Name

CData Software

Date Founded

2006

Company Location

United States

Company Website

www.cdata.com

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Financial Reporting

"What If" Scenarios
Audit Trail
Balance Sheet
Cash Management
Consolidation / Roll-Up
Forecasting
General Ledger
Income Statements
Multi-Company
Multi-Department / Project
Profit / Loss Statement

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