Enterprise teams struggle to manage, integrate, and interpret their data. Traditional tools often skim the surface of data, leaving valuable insights from unstructured data undiscovered. Leveraging Snowflake architecture and new GenAI features like Cortex LLM that make it easier for users to work with transformer models, Tredence has transformed enterprise data analytics and harmonization.
OpenWhiz uses advanced data science techniques to transform your data analytics and insights. It leverages advanced algorithms and robust frameworks to generate rapid insights from structured and unstructured data. This GenAI-enabled co-pilot uses Snowflake Cortex LLM to deliver powerful real-time analytics and data visualization tools, such as graphs and charts, that enhance organizational decision-making.
Tap these advanced capabilities to summarize and interpret large datasets quickly. Empower your teams with critical insights in an easily digestible format.
Harness our powerful algorithms to generate rapid insights. Analyze data and extract meaningful patterns, trends, and correlations in real-time.
Experience a range of advanced visualization options, including graphs and charts, which represent data visually and intuitively. Enhance leaders’ and teams’ understanding of patterns, improve discussions, and facilitate faster decision-making.
Empower advanced users and data analysts with the ability to generate SQL queries effortlessly, simplifying data retrieval and manipulation tasks.
Enhance analyst productivity and efficiency by saving analysis results and data structures automatically. Revisit and continue analyses at any point without losing progress.
Consolidate all your analyses on the OpenWhiz canvas page. This unified workspace enhances the organization, visualization, and sharing of insights.
Streamline data processes
Automate routine data operations, allowing your team to focus on strategic decision-making.
Access rapid, reliable insights
Create a data-driven culture using features and tools that speed time to insight.
Engineered with the best tech-stack
OpenWhiz is built on Snowflake Cortex LLM, optimized for deep data insights, enabling teams to scale analytics capabilities.
With Sancus, powered by Snowflake Cortex LLM, you can create your master data from diverse sources while maintaining and tracking data quality and governance over time. Continue deriving actionable insights from reliable data that is automatically captured, non-redundant, and cost-effective to maintain, for trustworthy intelligence to make the right decisions at the right time.
Leverage our intuitive dashboard with insights into quality metrics that can be configured to fit your data quality management and data governance frameworks/workflows. Accelerate the process of standardizing, cleansing, and deduplicating data by proactively keeping track of it through a single master record.
Validate your lead or customer data using our postal directories and third-party APIs to address any corrections across phone contacts and emails. Enrich it further through insights on third-party partnerships. Automate web scraping, image processing, and analysis of unstructured product data to derive continuous value.
Leverage insights into creation, validation, and management through third-party partnerships of flexible customer and vendor hierarchies that you can reflect on. Address product or material hierarchy assignment with insights into scaling across the value chain, using our ML algorithms.
The ML models that drive our AI-powered data quality management system learns actively through a reinforcement loop. Integrate your data with our active learning-based feedback module to pass feedback and override the algorithm’s result for deep learning and insights
Get individual, easy-to-use modules for the data quality management of metadata, data quality, metrics, and more to scale standardized processes across the value chain. Ensure on-going data is cleansed and governed by managing stewardship, policies, and more, with insights to help maintain a data-driven culture.
Why choose us?
Go-to-market in 6-8 weeks
Master data engine creation, suitable for various use cases
Cloud Agnostic Data Engineering stack
Integrated APIs and web scraping for third-party data enrichment
Utilizes LLM and deep learning models for AI/ML Harmonization