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What is Bravo for Power BI?

Utilize Bravo to effectively evaluate your model's memory consumption and determine which columns can be removed for better optimization. In addition, Bravo's capability to export metadata to VPAX files significantly improves data management efficiency. Ensure your DAX code remains clear and well-organized by taking advantage of Bravo's tools, which make it easy to spot measures that need formatting and simplify the workflow through the DAX Formatter service. Bravo also aids in creating a Date table for your model, providing numerous calendar templates, language options, and holiday selections that cater to different countries. It not only allows for the addition of DAX measures for commonly used time intelligence calculations but also features customizable date templates along with a specialized template editor in Visual Studio Code. This enables companies to effortlessly implement standardization of their calendars across all departments through group policies, ultimately enhancing time management for every user and fostering greater operational cohesion. Furthermore, by ensuring consistent calendar formats, organizations can streamline their scheduling processes and improve overall productivity.

What is Anomalo?

Anomalo empowers organizations to proactively address data challenges by swiftly identifying issues before they affect users. It offers comprehensive monitoring capabilities, featuring foundational observability with automated checks for data freshness, volume, and schema variations, along with in-depth quality assessments for consistency and accuracy. Leveraging unsupervised machine learning, it autonomously detects missing and anomalous data effectively. Users can navigate a no-code interface to create checks that compute metrics, visualize data trends, build time series models, and receive clear alerts through platforms like Slack, all while benefiting from insightful root cause analyses. The intelligent alerting system utilizes advanced unsupervised machine learning to dynamically adjust time series models and employs secondary checks to minimize false positives. By generating automated root cause analyses, it significantly reduces the time required to understand anomalies, and its triage feature streamlines the resolution process, integrating seamlessly with various remediation workflows, including ticketing systems. Additionally, Anomalo prioritizes data privacy and security by allowing operations to occur entirely within the customer's own environment. This ensures that sensitive information remains protected while still gaining the benefits of robust data monitoring and management.

Media

Media

Integrations Supported

Alation
Amazon Athena
Amazon Redshift
Atlan
Azure Synapse Analytics
DataHub
Databricks
Google Cloud BigQuery
Microsoft Power BI
Presto
SQL Server
Snowflake
Spark.work

Integrations Supported

Alation
Amazon Athena
Amazon Redshift
Atlan
Azure Synapse Analytics
DataHub
Databricks
Google Cloud BigQuery
Microsoft Power BI
Presto
SQL Server
Snowflake
Spark.work

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

SQLBI Corp

Company Location

United States

Company Website

bravo.bi/

Company Facts

Organization Name

Anomalo

Date Founded

2018

Company Location

United States

Company Website

www.anomalo.com

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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