Data teams face significant challenges when handling the increasing complexity of their data environments. This is due to the self-service analytics trend requiring more data requests from customers who need to run their businesses successfully. Data teams also need to control costs and ensure data quality by handling data requests from customers who require information.
Alvin’s tools improve data teams’ efficiency through software testing and data monitoring. Thanks to this, professionals can maximize the value of their data by implementing software testing and monitoring concepts into their data engineering. This is done via an automated toolkit that identifies bugs, traces errors and inefficiencies in data.
SaaS data lineage company Alvin has raised $6M in seed funding from Project A Ventures, with investment from Icebreaker.vc, Nomad Capital, Chris Schagen (former CMO of Contentful), Nick Handel (CEO and co-founder of Transform) and Ragnar Sass (co-founder of Pipedrive). The software the company releases to automate their process automatically tracks consumer-related data through the modern data stack. This helps improve data analytics workflow efficiency by connecting data assets to the consumers who use them.
The company plans to use the funds to expand their engineering team so they can meet their ambitious timetable and implement their go-to-market plan.
New Toolkit
Alvin automatically maintains an accurate graph of relationships between columns, tables, dashboards, SaaS platforms, people, and automated tools. This core technology automatically generates graphs of all attached data, allowing teams to automatically locate bugs and errors in their pipelines. It also helps teams automatically test the effects of changes on downstream systems prior to deploying any code. Furthermore, it allows teams to identify cost savings by identifying unused assets and pipelines in their pipelines.
Martin Sahlen and Dan Mashiter founded Alvin in 2018. Dan previously worked with data privacy startup people.io and Unacast as a technical founder.
Co-Founder of Alvin Dan Mashiter believes businesses should measure the success of their data collection and storage by examining the quality, accessibility, usability and ROI of the information they gather. Data teams can use Alvin’s operating system for the modern data stack to automatically connect data flows between systems and how it’s used throughout their organization. By doing this, businesses can maximize the impact and value of their information.
General Partner Project A, Uwe Horstmann, claims that Alvin will make the lives of data managers easier. Dan and Martin have an impressive track record when it comes to running companies focused on data. Their system has helped companies better analyze and govern their data effectively.
