Telmai Features

Functionality (9)

Identification: Correctly identify inaccurate, incomplete, or duplicated data from a data source.
Correction: Utilize deletion, modification, appending, merging, or other methods to correct bad data.
Normalization: Standardize data formatting for uniformity and easier data usage.
Preventative Cleaning: Clean data as it enters the data source to prevent mixing bad data with cleaned data.
Data Matching: Finds duplicates using the fuzzy logic technology or an advance search feature.
Real-time Analytics: Generate real-time depth analytics utilizing event metrics, logging and metadata.
Data quality monitoring: Use custom or pre-built tests for buisness rules. to ensure data quality.
Automation: Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.
End to End visiblity: Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.

Reporting: Provide follow-up information after data cleanings through a visual dashboard or reports.
Automation: Automatically run data identification, correction, and normalization on data sources.
Quality Audits: Schedule automated audits to identify data anomalies over time based on set business rules.
Dashboard: Gives a view of the entire data quality management ecosystem.
Governance: Allows user role-based access and actions to authorization for specific tasks.
Anomaly identification: Identify the different type of anomalies and receive alerts.
Single pane view: The data observability environment can be viewed from a single dashboard.
Real-time alerts: Provides immediate alerts for any anomalies or expected events.
Data lineage: Establishes lineage for the data pipeline - from data warehouse to the data user.
Integrations: Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes
Cross-system Integration: Works across multiple software systems or databases
Natural Language Interaction: Engages in human-like conversation for task delegation
Proactive Assistance: Anticipates needs and offers suggestions without prompting