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Description
Compass is a data assistant that leverages AI and integrates seamlessly with Slack, enabling users to transform straightforward inquiries into immediate answers, summaries, charts, and insights derived from the actual data in their warehouses. This tool is designed to empower teams to make informed, data-driven choices without having to deal with the delays of BI backlogs or the need to create dashboards beforehand. By establishing direct connections with prominent data warehouses such as Snowflake, BigQuery, Redshift, Postgres, AWS Athena, and Databricks, Compass not only learns the schema and context of your data but also delivers governed, SQL-powered responses and visualizations within the familiar tools used by your team, ensuring data remains secure and under your control. Over time, Compass enhances organizational knowledge, making answers progressively more precise and pertinent, while fostering collaboration through Slack threads, allowing the scheduling of recurring analyses, and maintaining a centralized repository of definitions and insights that diminish analytical silos and lessen dependency on specialized SQL expertise. Furthermore, this innovative solution streamlines the decision-making process, making it easier for teams to access and utilize data effectively.
Description
Power BI users often encounter obstacles such as sluggish, inflexible, and error-laden processes, restricted collaboration, absence of report bursting, and a desire for insights driven by machine learning.
Introducing our innovative Magic Grid Solution:
1. Enhanced Writeback, Team Collaboration, and Report Export
Experience real-time feedback capabilities, writeback functionality to the database, and seamless comment capture.
Users can modify or rectify records directly from visuals and communicate via email or Teams straight from the visual interface.
Reports can be exported in various formats such as Excel, PDF, or CSV, complete with conditional formatting—eliminating the need for additional visuals.
2. Dynamic Report Bursting
Automate the scheduling of report bursts while applying row-level security (RLS).
Users can export reports in Excel, PDF, or CSV formats with customized conditional formatting.
The solution offers flexible options for scheduling, catering to diverse needs.
3. Integration of Machine Learning
Effortlessly link and schedule machine learning algorithms with relevant data.
Automate the frequency of execution for generating insightful ML-driven results.
Advantages:
This solution is fully automated, operates in real-time, and breaks down silos, significantly enhancing organizational efficiency.
It accelerates the decision-making process, ensuring that users always have access to the most current data.
Additionally, it simplifies the integration of machine learning within Power BI, saving valuable time and resources while optimizing performance.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Athena
Amazon Redshift
Databricks
Google Cloud BigQuery
Google Sheets
Microsoft Excel
Microsoft Power BI
Microsoft Teams
MotherDuck
PostgreSQL
Integrations
Amazon Athena
Amazon Redshift
Databricks
Google Cloud BigQuery
Google Sheets
Microsoft Excel
Microsoft Power BI
Microsoft Teams
MotherDuck
PostgreSQL
Pricing Details
$49 per month
Free Trial
Free Version
Pricing Details
$100000
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
Dagster Labs
Founded
2018
Country
United States
Website
compass.dagster.io
Vendor Details
Company Name
Office Solution
Founded
2012
Country
United States
Website
innovationalofficesolution.com