Cacheworthy
The best analytics datasets are cacheworthy: they're of high enough quality to be embedded directly within your application.
The best analytics datasets are also cashworthy: they're of high enough need that users would be willing to pay for access.
Cacheworthy exists to advance the practice of delivering embedded data experiences that users are willing to pay for.
Embedded data experiences are the high seas of data engineering: underexplored, unforgiving, but offering great potential.
We believe that embedded data experiences are their own field, worthy of specialization and a community of practice.

I'm back! Welcome to Cacheworthy

Business of Data AMA (Nov 20, 2020)

How our BigQuery Data Pipeline Process has Evolved

Customer Retention Modeling in BigQuery SQL (SaaS + Ecommerce)

5 Advanced Ecommerce Reports (Shopify + BigQuery)

Shopify Cohort Analysis in BigQuery

Campaign Type Mapping in Sheets + BigQuery

Why Use BigQuery for Google + FB Ads Data?
![Shopify Buyer Segmentation [Backyard Analytics]](https://ricktube.ru/thumbnail/HfRV_u1vIb8/mqdefault.jpg)
Shopify Buyer Segmentation [Backyard Analytics]

CRO "Leak Finder" Template in Google Data Studio

BigQuery Pricing: How Much Does it Cost?

Graduating from Sheets to BigQuery

BigQuery Data Pipeline for Digital Agencies

Meta Tag Rewrite Checker (Search Console + ScreamingFrog)

BigQuery Partitioning and Clustering, Explained

Working with JSON data in BigQuery

How Google Cloud Functions et al fit with BigQuery

Data Pipeline Stories (Scott Zakrajsek of Sproutward)

Data Pipeline Stories (Ahmad Kanani of Siavak)

How to Productize Your Agency's Services

How We Automated an SEO Agency - 155% Increase in REVENUE

Data Studio News: Filter on click, drilldowns, advanced date ranges, and more

Why Learn the Query Function

Master the VLOOKUP Function

Why SQL is Vital For Marketers (You Already Know It...)

Working with Freelancers in Google Sheets

BigQuery Recipes: Website Quality Audit

WITH statements in BigQuery SQL

Writing your first BigQuery query

Using math + CASE statements in BigQuery