November 13, 2024 • 4 minute read •

Case Study: Analytiks - Fast-Track AI Projects With Managed Dagster+

Enterprise-grade data infrastructure that powers AI initiatives for growing companies

Name: Pedram Navid
Handle: @pdrmnvd

As an open-source project backed by a commercial platform, Dagster's success relies heavily on our network of implementation partners who help organizations of all sizes harness the power of modern data orchestration. Among these partners, Analytiks has developed a particularly innovative approach that's extending enterprise-grade data tools to previously underserved market segments.

Revolutionizing Data Solutions for Growing Businesses

Mathieu Stark
Founder and CEO at Analytiks

When Mathieu Stark founded Analytiks, he noticed a recurring pattern among small and medium-sized businesses: they needed sophisticated data solutions but lacked the resources to implement and maintain enterprise-grade tools. "We work with everyone, from Fortune 500 companies to startups that need to move away from spreadsheets into more sophisticated data systems,"

Stark explains. "We set up data pipelines, data warehouses, build complex data models, and integrate all our client's data into a unified platform. This transformation unlocks significant business value - from accelerating time-to-insight by 70% through automated reporting to enabling real-time decision-making with trustworthy data."

"But perhaps most critically, this robust data foundation becomes the launchpad for AI initiatives," Stark continues. "When companies want to leverage generative AI effectively, they need clean, well-organized data that is properly governed. Our unified platform approach means clients can seamlessly feed quality data into their LLM applications, whether they're building intelligent customer service chatbots, automated content generation, or predictive analytics systems. We're seeing clients reduce AI implementation time by 60% because they're not struggling with data preparation and governance - the foundation is already there."

The DAD Stack: Enterprise Features at Scale

Analytiks has developed a unique solution to this challenge. As a Dagster partner and Dagster+ customer, they've created a model that makes our enterprise features accessible to organizations of all sizes. Their pre-packaged solution centers around what they call the "DAD stack" - Dagster+, Airbyte, and dbt. This combination leverages Dagster+'s powerful metadata tracking and lineage capabilities to provide complete visibility into data flows, while advanced monitoring ensures reliable pipeline operations across the entire stack.

Their innovative approach handles access to Dagster+ features. Rather than requiring clients to sign their own enterprise contracts, Analytiks runs Dagster+ and makes it available to clients through their own instance. "Think of it as a way to get enterprise features at a fraction of the cost," Stark says. "Our clients can start small, pay monthly, and scale up as needed. There's no need to commit to a large annual contract right away."

Their implementation approach showcases many of Dagster+'s key capabilities. The platform provides end-to-end data pipeline visibility, real-time job status monitoring, automated error detection, and comprehensive data lineage tracking. Dagster+'s asset-based approach ensures teams can easily understand data dependencies and impact analysis. At the same time, its metadata system automatically documents data transformations and maintains a clear record of how data evolves throughout the pipeline. This level of observability and control enables Analytiks to maintain high reliability while quickly identifying and resolving any issues.

Comprehensive Support and Future Growth

The power of this technical foundation becomes most apparent in how Analytiks delivers ongoing support to their clients. "With Dagster+'s lineage capabilities, we can instantly trace any data point back to its source," Stark explains. "If a client notices discrepancies in their reports, we can quickly trace the entire data path and identify exactly where issues might have occurred. This level of observability is transformative for troubleshooting and maintaining data quality."

The advanced monitoring capabilities of Dagster+ have also transformed how Analytiks provides ongoing support. Their team leverages Dagster+'s alerting system to maintain high service levels across all client deployments. Custom alerts notify them of potential pipeline delays, data quality problems, or resource constraints, allowing them to address problems quickly. This comprehensive support, powered by Dagster+'s enterprise features, often costs much less than hiring a single full-time employee while providing access to a much broader range of expertise.

The model has proven particularly valuable for organizations dealing with complex data challenges. Even when working with larger enterprises, Analytiks adapts their approach to meet specific infrastructure requirements while maintaining the same principles of clear organization and ongoing support.

As we continue to expand Dagster's ecosystem, partners like Analytiks play a crucial role in making our tools accessible to a broader range of organizations. Their approach demonstrates how innovative deployment models, combined with Dagster+'s advanced features, can help more teams benefit from enterprise-grade data orchestration while ensuring proper implementation, documentation, and ongoing support.

Contact the Analytiks team today!

We're always happy to hear your feedback, so please reach out to us! If you have any questions, ask them in the Dagster community Slack (join here!) or start a Github discussion. If you run into any bugs, let us know with a Github issue. And if you're interested in working with us, check out our open roles!

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