Platform for managing data quality in data warehouses. It connects with various databases and integrates with tools like Slack, Zapier, and webhooks. Offers features for monitoring and solving data quality issues.
Features
Automated Data Quality Management
Provides automated tools for managing and ensuring the quality of data in warehouses, helping to identify and solve data quality issues continuously.
Drift Detection
Automatically detects statistical changes or drifts in data attributes, alerting users to inconsistencies or unexpected shifts in data patterns.
Anomaly Detection
Uses algorithms to identify unusual patterns or outliers in data that could indicate data quality problems.
Schema Evolution
Monitors and manages changes in database schemas, ensuring updates are tracked and adjustments are made without data quality disruption.
Advanced Data Profiling
Provides in-depth analysis and insights on data quality metrics, helping organizations thoroughly understand the state and health of their data.
Integration with Data Warehouses
Connects seamlessly with popular data warehouses like Snowflake, BigQuery, and Redshift, providing a unified platform for data quality management.
AI-Powered Data Quality Platform
Digna provides a platform that ensures impeccable data quality in data warehouses by using AI technology, eliminating the need for complex data quality rules.
Replacement of Data Quality Rules
Digna's platform replaced 9000 data quality rules that were cumbersome to maintain with AI-driven solutions, simplifying the process of maintaining data quality.
Organization-Wide Implementation
The IT-Services of Austrian Social Security implemented Digna for their entire Social Security organization, empowering employees to configure projects independently.
Numerical Data Monitoring
Digna tracks numerical data and detects unusual variations or abnormalities in datasets.
Categorical Data Analysis
Digna analyzes categorical data to identify unexpected changes or trends in different categories.
Unspecified Data Tracking
Digna monitors unspecified data, checking for empty or partially filled columns and ensuring data completeness.
Forecasting Model
Continuously tracks metrics and predicts future values to stay alert on deviations.
Self-adjusting Thresholds
Automatically defines and adjusts baselines for various data streams regardless of stability or volatility.
Deviation Anticipation
Allows for anticipating changing conditions by comparing calculated and predicted values of business metrics.
Database Integration
Connect with various databases like Databricks, Oracle, SQL Server, Teradata, Snowflake, Netezza, SAP HANA, MySQL, PostgreSQL, Timescale, MariaDB, Apache Impala, and more to blend data easily.
Data Collection and Preparation
Automatically collect and prepare data from various sources to calculate metrics with ease.
In-database Metric Calculation
Calculates all metrics inside the database and exports only the calculated metrics, ensuring data privacy and control.
Custom Alerts
Set up alerts for deviations from normal behavior, quickly customize how you receive alerts through different platforms.
Slack Integration
Receive notifications directly on Slack to stay updated on any deviations.
Microsoft Teams Integration
Get alerts via MS Teams to monitor deviations in real-time.
Email Notifications
Receive email alerts to stay informed about the latest incidents.
Webhooks Integration
Connect with other services using webhooks to receive alerts.
Jira Software Integration
Coming soon feature to integrate with Jira Software for incident tracking.
Zapier Integration
Connect with over 1,000 apps through Zapier to automate alert notifications.
Customizable Permission System
Digna allows you to set up an easily customizable permission system tailored to your team's security needs. This feature enables you to control access to various aspects like tables, projects, and business metrics to ensure only the right people can view and edit data.
AI and ML Solutions
digna provides user-friendly AI/ML software solutions to help businesses unlock the power of their data. These solutions are designed to optimize processes and reduce costs.
Data Platform
Their data platform offers modern data quality tools that are specifically designed for data warehouses, focusing on data integrity and usability.
digna Tool
An AI-based tool that analyzes large volumes of data to identify patterns and trends, enabling businesses to scale data quality checks and discover data issues.
Data Pattern Detection
Utilizes Artificial Intelligence algorithms to detect patterns in data that may not be immediately apparent, helping users understand trends and predict future outcomes.
Irregular Deliveries Monitoring
Leverages AI and Machine Learning to recognize, identify, and establish patterns for data with irregular delivery schedules, tracking metrics on a daily, weekly, and monthly basis.