Rapidly Accelerate & Scale Your Big Data Analysis with Connected Sheets

Transform Data into Actionable Insights with Connected Sheets - The Power of Sheets, BigQuery, and Looker for Organizational Growth

Data is the biggest driver of competitive advantage, but fully harnessing it isn’t easy. With complex legacy workflows and BI solutions that can’t support today’s data-intensive world, organizations are struggling to unlock valuable insights. Connected Sheets combines the power of BigQuery and the familiarity of Sheets to help teams analyze data at scale – No SQL skills required.

“With Connected Sheets, we’ve been able to re-imagine business and financial reporting. We can easily build and refresh reports with critical data like KPIs on current projects or revenue data—and share them as strategic inputs for Leadership teams. What took 6-8 steps is now done in a single step.”

-UNOPS

A scalable, accessible, and intuitive way to tap into the full value of your data

Sheets + BigQuery

Sheets + Looker

1 Increase scale of analysis

2 Accessible and actionable insights for all

3 Intuitive, familiar, and secure

Easily Leverage Big Data to Enhance Each Business Area with Continuous Analytical Agility

Customer experience

Enhance the customer experience to increase net promoter scores (NPS) while reducing churn

Logistics, fulfillment, & delivery

Real-time inventory management and intelligent analytics tools

Operations

Modernize your operations with analytics – across offline and online channels

Cost & Operational Efficiency

Get faster time to insight and reduce total cost of ownership (TCO) across the business

Sales & Marketing Analytics

Identify upsell and cross-sell opportunities with centralized data to increase ARPU

Finance & Accounting

Track, forecast, and analyze live data collaboratively across teams to find insights and make decisions faster

Analyze billions of rows of BigQuery data in Sheets to quickly derive insights and use familiar tools like pivot tables, charts, and formulas to:

Understand how customers interact with your app or website

Analyze and visualize viewing history, searches, ratings, and device data to see how customers engage with content

Mitigate risk

Analyze multiple data sources (logs, events, packets, flow data, asset data, configuration data, etc.) in near real-time to identify irregularity and mitigate risk, detect incidents, and respond to breaches

Optimize sales performance

Use predictive modeling to identify consumer trends and update prices based on supply and demand

Improve ad targeting

Analyze conversion data to see which demographics are responding to a particular campaign and optimize accordingly using graphs and charts to make sense of insights

Predict & Prevent Customer Churn

Analyze complaint data to pinpoint problem areas and optimize the customer experience

Budgets and forecasting

Plan ahead and allocate resources for tomorrow. Review budgets, forecasts, and retainers with project teams to senior leaders knowing that you’re all working with the same, and the most up-to-date data