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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Your enterprise relies on immediate data from its backend infrastructures to provide actionable insights and foster growth. The CData Power BI Connectors serve as an essential component in optimizing your data value chain. These connectors present the quickest and simplest approach to linking Power BI with over 250 enterprise data sources, allowing you to harness the full potential of Power BI for comprehensive data analysis. With ease, you can connect Microsoft Power BI to live data from accounting, CRM, ERP, marketing automation, as well as both on-premise and cloud-based systems for real-time visual analytics and reporting. Numerous popular data sources are supported by Power BI connectors, such as: - Microsoft Dynamics CRM - MongoDB - NetSuite - QuickBooks - Sage Intacct - Salesforce - SAP - SharePoint - Snowflake - And over 200 additional sources! Furthermore, the CData Connectors enhance query speed and performance with advanced features like DirectQuery and QueryPushdown, ensuring that your data analysis is both efficient and effective. These capabilities empower businesses to make more informed decisions based on the latest available information.

Description

The Power BI Connector for monday.com offers a seamless no-code integration that facilitates the export of data from monday.com into Microsoft Power BI for efficient reporting and analytical purposes. Users can select specific boards, groups, columns, and item types for export, while the connector automatically establishes data-table relationships in Power BI, eliminating the need for manual modeling. The installation and configuration process is entirely conducted through the monday.com interface, requiring no coding or third-party tools. Additionally, scheduled refreshes ensure that your Power BI reports remain synchronized with updates from monday.com without the hassle of manual exports. Emphasizing security, all requests are encrypted, signed, and authorized according to monday.com permissions, with no customer data being stored. The Power BI Connector for monday.com is a vital component of Tempo's BI connector offerings within its Strategic Portfolio Management (SPM) suite, which also includes connectors for platforms like Jira and ServiceNow, thus enhancing the ability to integrate and analyze data across various systems effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Microsoft Dynamics 365 Yes 
Microsoft Power BI No 
Microsoft SharePoint Yes 
MongoDB Yes 
NetSuite Yes 
QuickBooks Online Yes 
QuickBooks Online Advanced Yes 
SAP CRM Yes 
SAP ERP Yes 
Sage Intacct Yes 
Salesforce Yes 
Snowflake Yes 
monday AI work platform No 

Integrations

Microsoft Dynamics 365 No 
Microsoft Power BI Yes 
Microsoft SharePoint No 
MongoDB No 
NetSuite No 
QuickBooks Online No 
QuickBooks Online Advanced No 
SAP CRM No 
SAP ERP No 
Sage Intacct No 
Salesforce No 
Snowflake No 
monday AI work platform Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$10/month/user
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

CData Software

Country

United States

Website

cdata.com

Vendor Details

Company Name

Tempo Software

Founded

2009

Country

Iceland

Website

www.tempo.io/products/power-bi-connector-for-monday

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

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