Name: Telmai Demo - Presented at SolutionsReview Data Demo Day
Uploaded: 2022-12-05T21:28:06.000Z
Duration: 28 min 50 s
Description: Telmai Demo

Help Desk

Web and Video Conferencing

Customer Support

AI Code Generation

Accessibility Testing

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Classroom Management

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Education

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Emissions Management

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Game Engine

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Survey & Forms Building

Text to Speech

Video

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Project Management

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Customer Relationship Management (CRM)

Sales Performance Management

Social Commerce

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Virtualization Security

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Agriculture

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Equipment Rental

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Vertical-Specific

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### Data Quality Management
Users generally appreciate Telmai's robust data quality management capabilities. Reviewers highlight the ease of onboarding, the intuitive UI, and the ability to quickly identify and resolve data inconsistencies. Telmai's AI functionality and no-code anomaly detection feature are particularly praised for simplifying the process of ensuring data cleanliness and proactively addressing issues. While some users acknowledge the need for continuous feature enhancements, overall, Telmai's data quality management tools are seen as valuable assets in maintaining high-quality data across diverse data sets.

### Data Profiling and Validation
Users generally appreciate Telmai's robust data profiling and validation features. The consensus among reviewers is that Telmai's data profiling capabilities significantly reduce the effort required for understanding data quality issues by efficiently organizing data measures and detecting anomalies without the need for custom code. The flexibility to configure rules across datasets and receive alerts for each new data ingestion iteration has been particularly praised for streamlining data validation processes. Additionally, the availability of ML-based engine components out-of-the-box has been noted as a valuable asset for accelerating setup procedures and enhancing data quality assessments.

### Data Pipeline Engineering
Users universally praise Telmai's data pipeline monitoring and alerting capabilities. They appreciate the platform's ability to ensure successful data runs and maintain data accuracy. The intuitive learning from data patterns and proactive alerting for any anomalies or drifts in data attributes have been highlighted as key strengths. Additionally, users value the approachable and responsive team that actively incorporates feedback to enhance the data pipeline engineering features. Telmai's continuous evolution and introduction of new features have garnered positive feedback, indicating a strong commitment to improving data pipeline efficiency and reliability.

### Data Observability
Reviewers consistently praise Telmai for its advanced data observability features, highlighting its ability to automatically analyze and detect data quality issues in a timely manner. Users appreciate the platform's intuitive interface, which allows for easy identification and resolution of data inconsistencies. Telmai's real-time monitoring capabilities, powered by AI and ML technologies, have garnered positive feedback for enabling organizations to proactively address data quality challenges.

### Anomaly Detection
Reviewers consistently highlight Telmai's anomaly detection as a standout feature, praising its ability to detect unexpected drifts and provide timely alerts for investigation. Users appreciate the platform's flexibility in configuring rules across datasets without the need for custom code, enabling efficient anomaly detection and data quality monitoring. Telmai's machine learning and artificial intelligence algorithms are commended for proactively identifying anomalies, allowing data teams to address issues promptly and enhance data observability. The platform's intuitive interface and support for real-time API integration with large datasets further contribute to its effectiveness in detecting and investigating anomalies.

### Data Insights and Reporting
Users consistently highlight Telmai's data insights and reporting as a key strength of the platform. They appreciate the ease of use and quick onboarding process, which allows for immediate access to valuable insights from their data sets. The integration with various data sources and the ability to generate actionable recommendations through AI functionality are particularly lauded. Telmai's robust support for real-time API integration and its granular-level insights enable users to make informed decisions efficiently. The flexibility and de-coupled architecture of Telmai further enhance its appeal, making it a preferred choice for those seeking comprehensive data insights and reporting solutions.

Telmai has been highly regarded by users for its ability to proactively detect and investigate anomalies in real-time, enabling them to mitigate risks and respond to potential threats more quickly and effectively. Users have found that Telmai simplifies the process of collecting and viewing data with its intuitive dashboard, allowing them to have a comprehensive view of all their data in one place. This has been particularly valuable for users in detecting exact data anomalies and inconsistencies, which they can promptly share with stakeholders and partners for action. By eliminating the need for writing complex rules and maintaining them over time, Telmai has made it significantly easier for users to identify issues in large volumes of data.

Data Quality Project Managers have particularly benefited from Telmai's ability to provide an overview of all data at a glance, along with segments and the option to apply different rules for quality validation. This has streamlined their work by simplifying the process of reviewing data for quality before publishing it to customers, saving time and effort. Additionally, users have appreciated the ML-based engine components that come pre-built with Telmai, as they expedite the setup process for detection and improve precision.

Telmai has proven instrumental in addressing critical business problems faced by users. It ensures the successful completion of data runs through pipelines while also detecting any drifts or inconsistencies in transformed data. By automatically alerting users to unexpected drifts in real-time and providing insights into complex data sets, Telmai enables faster investigation and prevents users from being blindsided by data issues. Furthermore, Telmai supports applying rules to large amounts of data, allowing users to effectively address rule breaks before they become significant problems.

Overall, Telmai offers a powerful solution for handling structured and semi-structured data, enabling users to focus on core business objectives without compromising data quality or accuracy. The platform's ability to bridge the gap between data and insights has driven better decisions while reducing the time and resources required for data observability. Users evaluating Telmai for various customer data sets with varying data quality issues have found great promise in its ability to solve their challenges and keep their data clean.

Telmai helps data team reduce the time spend on detecting and investigating data quality issues. It offers a low-code / no-code approach, and is a SaaS. The solution boasts high standards of encryption, identity management, role-based access control, data governance, and compliance standards. It features advanced ML models for detecting row-value data anomalies.Models will evolve and adapt to users business and data needs.

TimeXtender was designed to be a holistic solution for data integration that empowers organizations to build data solutions 10x faster using metadata and low-code automation.

TimeXtender

Telmai

Data Observability

Telm.ai

Telmai Demo - Presented at SolutionsReview Data Demo Day

Centralize data observability across structured and semi-structured data Telmai is the one platform that can monitor your data across all formats. Plug Telmai anywhere in your data pipeline and start observing your data warehous

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