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Datalyze

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Datalyze

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Datalyze is an analytics and growth partner for startups from Seed to Series C. We've worked with 150+ companies across B2B SaaS, consumer SaaS, fintech, D2C, and marketplaces, including CRED, Sarvam AI, Silverfort, Coursebox, Wellness Coach, Magma. Most companies don't have a tools problem. They have an implementation problem. In the stacks we audit, 20 to 40% of events, models, or pipelines are misconfigured, missing, or quietly broken. That shows up as a CAC nobody can defend, PMs writing SQL instead of shipping, and retention insights sitting in a dashboard nobody opens. We work in four stages: Foundation: Full audit of your product events, warehouse tables, pipelines, and metric definitions. We fix what's broken, fill what's missing, and standardize what's drifted so every team pulls the same number for the same question. Unification: Connect and model product analytics, warehouse, billing, and CRM into a single source of truth, giving you one view of the customer from first touch to revenue. Visibility: Build the reporting layer your team actually uses: executive dashboards, product funnels, cohort analyses. Compounding: Find why users churn or don't convert, then design and run the experiments that fix it. Tech Stack: Mixpanel (Certified Partner), PostHog (Implementation Specialist), Amplitude, Heap, GA4, GTM, Google Ads, Meta Ads, HubSpot, Stripe, Chargebee, Recurly, RevenueCat, BigQuery, Snowflake, Postgres, dbt, Segment, Fivetran, Hightouch, Airbyte, Looker Studio, Metabase, Databricks.  Read our case studies at https://www.joindatalyze.com/case-studies

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What is Datalyze?

Datalyze is a data analytics vendor that specializes in providing advanced solutions for data integration, analysis, and visualization. The company focuses on helping organizations leverage their data to drive insights and informed decision-making. Datalyze offers a range of tools and services designed to streamline data processes, enhance reporting capabilities, and support data-driven strategies across various industries. Their platform is designed to be user-friendly, enabling both technical and non-technical users to access and interpret data effectively.

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