Explorations into how teams capture, curate and disseminate knowledge about their data.
By using your existing data observability tools to surface status pages to end users, you can keep them informed and create a culture of trust around your data.
Join our CEO Nick Freund as he speaks with data leaders Benn Stancil and Danielle Mendheim about the broken process - and the solutions - sitting between data teams and the teams they support
Knowledge asymmetries between data consumers and data builders are a given. Documentation can help close the gap and improve your data ROI.
Workstream is often compared to a data catalog, but while this comparison makes sense on the surface, they are really more different than they are similar.
Join us as we discuss how to counteract the fragmented knowledge around your data, and bring forward a data-driven culture.
With contextual markers like lifecycle and certification, end users know how, and whether, to use your data assets.
Without treating your data consumers like customers, the data products you build may collect dust rather than enabling your business.
By enabling consolidated libraries of assets, collections bring your most important assets into one place, and populate them automatically.
Join us as we discuss the impact of analytics entropy with some of the top data leaders in the space.
We discussed last week how the service desk most data teams employ is broken. This week, we explore how a data concierge can help eliminate these challenges.
Service desks for data teams are too often clunky, transactional, and fail to contribute value to the organization. In this newsletter, we explore how these experience got so bad.
With all of the layoffs happening across the tech industry, we wanted to create a resource to help data professionals get back on their feet.
Analytics teams need to understand how the products they create are being used. So why are analytics about them so often an afterthought?
In this article, we discuss how data-driven teams can tame entropy and empower stakeholders with a single access plane for analytics.
Entropy is unavoidable in data asset management, but there are methods—and new tools—that can help create order out of the chaos.
Data asset entropy has been an issue for as long as data has been used in decision making. But in the modern organization, where analytics tools have exploded in number and type, entropy has become a huge stumbling block to effective data-driven operations.
Your company data is priceless only if you curate, document, and manage it. Options exist for a centralized analytics hub. But, it can be hard to know which one is right for your organization.
The goal of your workflow is not just to uncover valuable wisdom from your data. It is crucial to communicate those actionable data observations to the organization which can use them to make decisions.
We are delighted to announce that Workstream is officially entering its public beta phase, after securing $7 million in seed funding, led by Lerer Hippeau.
While analysts leverage more powerful analytical tools than ever, the feedback mechanisms we use to navigate our projects are outdated.
Workstream will integrate with existing analytical tools, allowing teams to collaborate seamlessly, and orchestrate their projects from start to finish.
Analysts unveil and communicate insights to inform critical decisions. This unifies analysts and sets them apart from competitive services.
Receive regular updates about Workstream, and on our research into the past, present and future of how teams make decisions.