Automate your

Data Analysis

We build Data Pipelines in BigQuery to help you improve sales + marketing performance.

We build Data Pipelines in BigQuery to help you improve sales + marketing performance.

Harness the power of

BigQuery

Our Data Pipeline service uses Google BigQuery to process, transform and store your data.

  • Unify data from all of marketing + sales platforms into one BigQuery warehouse
  • Complete data privacy - you own your own database, and control access to it
  • Report on your data wherever you need it: in Data Studio, Sheets, Tableau or Looker

How does it work?

We'll migrate your data analysis workflows into one unified BigQuery pipeline.

Needs assessment

We'll explore your current analysis processes, and strategize ways to bring them together into a single pipeline.

Setup BigQuery warehouse

A fastidious, world-renowned CIFL analyst brings all of your data together in your BigQuery warehouse.

Analyze + visualize

We build a custom analysis “Recipe” to churn your raw data into buttery reporting.

Automate + maintain

We'll keep your analysis running + refreshing daily, and make changes as you need them.

  • 01

    Needs assessment

    We'll explore your current analysis processes, and strategize ways to bring them together into a single pipeline.

  • 02

    Setup BigQuery warehouse

    A fastidious, world-renowned CIFL analyst brings all of your data together in your BigQuery warehouse.

  • 03

    Analyze + visualize

    We build a custom analysis “Recipe” to churn your raw data into buttery reporting.

  • 04

    Automate + maintain

    We'll keep your analysis running + refreshing daily, and make changes as you need them.

Customer stories
How moving to BigQuery has subtly but momentously improved lives.
  • Ahmad Kanani

    Founder, Siviak Agency

    Customer stories
    How moving to BigQuery has subtly but momentously improved lives.
    "Moving into BigQuery in this way was a turning point, and when I look back at it, it was a good decision.”

    Continue Reading
  • Drew Sanocki

    Founder, Growth Engines

    Customer stories
    How moving to BigQuery has subtly but momentously improved lives.
    "Why attract more bad customers to your business?"

    Continue Reading
  • Scott Zakrajsek

    Partner, Sproutward Agency

    Customer stories
    How moving to BigQuery has subtly but momentously improved lives.
    “What we saw from CIFL was a clear and approachable way to get into a BigQuery stack"

    Continue Reading

Feast on sample “Recipes”

Recipes are micro-pipelines we publish to solve a specific problem.

How much do data pipelines cost?

Our pipelines are a done-for-you data analysis and reporting service. Before you request a full quote, please review the pricing specs below:

  • We build custom pipeline "Recipes" in 3-week development sprints. Each sprint costs $5,000.
  • Most clients will build approximately 4-5 recipes as part of a pipeline, for a total development cost of ~$20,000.
  • After development is complete, CIFL can maintain your pipeline + offer analysis advisory for $1k-2k per month, depending on needs.

Crucially, since we've built dozens of pipelines, we know precisely *how* we'll build yours before we write a line of code. We get straight to business.

PIPELINE ELEMENTS
  • Dedicated analyst
  • Unified BigQuery warehouse
  • SQL data models built in dbt
  • Reporting in Data Studio, or your preferred platform
INCLUDED?