The Execution Layer Your Data Lake Is Missing

The modern enterprise data lake is one of the most expensive, carefully maintained, and underutilized assets in the organization. Companies have spent years and millions centralizing data from CRM, support, billing, product, and marketing systems into a unified store. The data is there. The problem is who can access it.

Three Audiences — One Is Left Out

Data lakes today serve three audiences well: engineers build pipelines and integrations on top of them; analysts write SQL queries and produce reports; executives consume the dashboards those analysts build. That's it. The fourth audience — the knowledge workers who interact with customers every day — has no interface to this data. Sales reps, support agents, marketing managers, and CSMs make decisions based on whatever is surfaced by their individual SaaS tools, which have no visibility into the broader data lake.

This is the execution gap. The data exists. The context exists. But it never reaches the people who need it most, in the moment they need it.

Why the Obvious Fixes Don't Work

Three approaches have been tried and found wanting. Custom development — having engineering build bespoke tools for each team — works once but doesn't scale and becomes expensive to maintain. BI tools like Tableau or Looker are great for analysts but the wrong interface for someone who needs context during a sales call. And SaaS integrations between individual tools create point-to-point pipelines that solve narrow problems while adding complexity.

None of these give knowledge workers what they need: a composable, role-specific experience that draws from the full data lake context and adapts as the business changes.

The Compositional Approach

Remix sits between the data lake and knowledge workers as an execution layer. It exposes the data lake's context through composable components — widgets, experiences, workflows — that any team can assemble into role-specific tools without writing a line of SQL. AI fills in the intelligence layer: summarizing context, surfacing relevant signals, drafting responses.

For the first time, the SDR prepping for a call, the CSM reviewing an account, and the marketing manager building a campaign all have access to the same unified context — surfaced in the interface they actually work in.