From the blog
Learn how to eliminate analyst bottlenecks and enable self-service reporting by packaging data for non-SQL users with scalable, reusable Data Marts.
Reporting

From Analyst Bottleneck to Scalable Reporting: Packaging Data for Non-SQL Users

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Learn how to calculate LTV using CRM and ERP. Build governed models in BigQuery and share trusted outputs across teams.
Data Analytics

How to Calculate LTV with CRM and ERP

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Learn how to scale from Google Sheets to BigQuery without new tools. Keep your workflows, boost performance, and govern data with OWOX Data Marts.
Google Sheets Tips

Google Sheets to BigQuery: How to Scale Your Analyst Workflow Without Buying New Tools

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Business users often demand “real-time data,” but freshness SLAs define what’s realistic. Learn how to set clear expectations and standards.
Google Sheets Tips

Business Users Want “Real-Time Data”: Defining Freshness SLAs

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Discover the 7 biggest data transformation challenges and how to overcome them. Our guide will help you navigate the complex world of data management
Data Modeling

7 Biggest Data Transformation Challenges in 2025

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Achieve data freshness, accuracy and consistency with real-time updates. Explore Google Sheets, BigQuery, and more.
Data Analytics

The Critical Role of Data Freshness in Business Decision-Making in 2025

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Discover how to automate ad reporting in Google Sheets with free connectors for TikTok, Reddit, LinkedIn, and more. Speed up marketing analysis!
Data Integration

Automating Your Ads Reporting Stack in Google Sheets: A Marketer’s Guide

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Learn how to build a fully free analyst data stack using JavaScript, SQL, OWOX, and BigQuery – no paid tools or SaaS needed.
Data Integration

How to Build a Free Modern Analytics Stack with JavaScript, SQL, BigQuery & OWOX

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Learn how to prepare AI-ready marketing analytics data. Improve data quality, consistency, and governance for faster, more accurate insights.
Data Integration

AI-Ready Analytics: How to Turn Raw Ad Data Into Trusted Business Reports

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Centralize and govern your Looker Studio SQL using OWOX Data Marts. Define once, reuse everywhere, across dashboards, Sheets, and more.
Reporting

Why You Should Store Your BigQuery SQL for Looker Studio in OWOX Data Marts

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Learn to normalize ad spend across currencies in Google Sheets using free OWOX connectors for accurate ROI, pacing, and reporting.
Data Integration

How to Normalize Ad Spend Across Currencies for Free in Google Sheets

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See why open-source analytics gives analysts control, transparency, and lower costs. Learn the stack, benefits, and a practical blueprint to get started.
Data Integration

Why Open-Source Analytics Is the Future for Analysts

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Compare SaaS and open source for data connectivity. Evaluate control, cost, and integration options to find the right solution for your stack.
Data Integration

SaaS vs. Open Source: Which Data Connectivity Solution Is Right for You?

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Send ad data from Facebook, Google, and TikTok to BigQuery using free connectors. No ETL tools needed – just clean, unified marketing reporting.
Data Integration

How to Build a Unified Ad Report in Google BigQuery with Free Connectors (Without SaaS)

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Connect Facebook, LinkedIn, Twitter Ads to Google Sheets using free connectors. Skip CSVs and SaaS tools with this easy integration guide.
Data Integration

Building a Unified Ad Report in Google Sheets with Free Connectors (No SaaS Needed)

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Compare OWOX Data Marts, Supermetrics, and Airbyte for data integration. Find the best tool for analysts to optimize data pipelines in 2025.
Data Integration

OWOX Data Marts vs. Supermetrics vs. Airbyte: Which is Right for Analysts?

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Learn how to access and analyze the Query History Log in BigQuery to track past queries, optimize performance, and troubleshoot issues.
Google BigQuery

How to Use Query History Log in BigQuery?

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Learn how to recover deleted tables, track data changes, and debug using BigQuery Time Travel with practical examples and best practices.
Google BigQuery

Practical Examples of BigQuery Time Travel in Action

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Learn how to use JSON data manipulation functions in BigQuery to extract, transform, and query JSON data efficiently with practical examples and tips.
Google BigQuery

A Practical Guide to JSON Data Manipulation Functions in BigQuery

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Learn to use JSON_ARRAY, JSON_OBJECT, and TO_JSON in BigQuery to construct and manage JSON data for APIs, storage, and analysis with practical tips.
Google BigQuery

Creating and Managing JSON Objects and Arrays in BigQuery

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Google Sheets in modern analytics

Google Sheets, powered by governed data marts

Google Sheets were never designed to be a system of record. With OWOX Data Marts, Sheets becomes a trusted analysis layer — powered by governed data marts defined upstream in your warehouse.

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Business teams keep the flexibility they love
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Data teams retain control over logic and definitions
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No more fragile joins duplicated across spreadsheets
See how it works
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