Google BigQuery Overview

Google BigQuery is a serverless, cost-effective, and multicloud data warehouse. It helps turn big data into valuable business insights efficiently.

Use Cases

Customers recommend Lead Analytics, Advertisement, Funnel Analysis, as the business use cases that they have been most satisfied with while using Google BigQuery.

Other use cases:

  • Social Media Analytics
  • Competitive Intelligence
  • Campaign Management
  • Sending & Publishing Communications
  • Contract Management
  • Training & Onboarding
  • Engagement Management
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Business Priorities

Acquire Customers and Scale Best Practices are the most popular business priorities that customers and associates have achieved using Google BigQuery.

Other priorities:

  • Improve Efficiency
  • Enhance Customer Relationships
  • Improve Stakeholder Relations
  • Increase Sales & Revenue
  • Increase Customer Life Time Value
  • Launch New Products
  • Improve Visibility
  • Improve Digital And Social Presence
  • Shorten Ramp Up Time
  • Grow Market Share
  • Build Brand Awareness
  • Improve ROI
  • Improve Internal Communications
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Google BigQuery Use-Cases and Business Priorities: Customer Satisfaction Data

Google BigQuery works with different mediums / channels such as Display Advertisement. and Social Media.

Google BigQuery's features include Dashboard, Recording, Personalization, etc. and Google BigQuery support capabilities include AI Powered, 24/7 Support, Chat Support, etc. also Google BigQuery analytics capabilities include Analytics, and Custom Reports.

Reviews

"...We are Big Data company who dealing with petabytes of data and we generate hierarchal data that can be used for Advertising companies...." Peer review by Reza Qorbani, Chief Technology Officer, BlueCava

Google BigQuery, TWIPLA, Klipfolio, Buildfire, Unity Platform, etc., all belong to a category of solutions that help Digital Analytics. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.

Popular Business Setting

for Google BigQuery

Top Industries

  • Computer Software
  • Internet
  • Information Technology and Services

Popular in

  • Large Enterprise
  • Small Business
  • Enterprise

Google BigQuery is popular in Computer Software, Internet, and Information Technology And Services and is widely used by Large Enterprise, Small Business, and Enterprise.

Comprehensive Insights on Google BigQuery Use Cases

What benefits does Google BigQuery offer for Lead Analytics?

What solutions does Google BigQuery provide for Funnel Analysis?

How efficiently Does Google BigQuery manage your Social Media Analytics?

How can Google BigQuery enhance your Competitive Intelligence process?

11 buyers and buying teams have used Cuspera to assess how well Google BigQuery solved their Digital Analytics needs. Cuspera uses 2533 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific Digital Analytics needs.

Case Studies

Information Technology and Services

CASE STUDY Box

Box used Gemini and Vertex AI from Google Cloud to automate metadata extraction. The new AI-driven feature helps Box customers pull data from large documents quickly. This cuts search and extraction ...time from hours to seconds. The solution removes manual work and speeds up business workflows. Box can now handle many document types, including handwritten and unstructured content.

Financial Services

CASE STUDY Millennium bcp

Google Cloud helped Millennium bcp transform its digital banking and personal loan strategy. The bank used BigQuery, Google Analytics 4, and Firebase to analyze customer data and create predictive mo...dels. This led to highly targeted, personalized campaigns. BigQuery-powered audiences achieved a 2.6x higher conversion rate and 2.4x more conversions in owned media. Paid media conversion volume doubled, conversion rates were 1.9x higher, and cost per acquisition dropped by 36%. Millennium bcp now delivers more efficient, data-driven customer experiences.

Retail

CASE STUDY Super-Pharm

Google Cloud Vertex AI helped Super-Pharm improve demand forecasting for its ecommerce site. The company increased inventory accuracy from 50% to 90%. Demand forecasting became 10 times more efficien...t. Super-Pharm optimized its on-site customer journey and modernized IT infrastructure. The solution reduced manual work and improved customer satisfaction.

Retail

CASE STUDY Best Buy

Vertex AI from Google Cloud helped Best Buy bring in-store experiences online. Best Buy used generative AI to create a human-like shopping assistant and summarize thousands of product reviews. The co...mpany automated processes, speeding up production cycles and cutting costs. Best Buy developed product Q&As at a much lower cost. These AI solutions increased customer trust, satisfaction, and revenue.

Frequently Asked Questions(FAQ)

for Google BigQuery

What is Google BigQuery used for?

Google BigQuery is a Digital Analytics Software mainly used by its customers to Acquire Customers and Scale Best Practices by Lead Analytics, Advertisement and Funnel Analysis .

What are the top features of Google BigQuery?

Dashboard, Recording and Personalization are some of the top features of Google BigQuery.

Who uses Google BigQuery?

Google BigQuery is used by Computer Software, Internet and Information Technology And Services among other industries.

What are Google BigQuery alternatives?

TWIPLA, Klipfolio, Buildfire and Unity Platform are popular alternatives for Google BigQuery.

Where is Google BigQuery located?

Google BigQuery is headquartered at 1600 Amphitheatre Parkway, Mountain View, CA 94043, US.
lightning

Peers used Google BigQuery for lead analytics and advertisement

Google BigQuery Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
AI Powered

4.83/5 ★

Read Reviews (118)
Analytics

4.69/5 ★

Read Reviews (558)
Custom Reports

4.12/5 ★

Read Reviews (619)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

4.83/5 ★

Read Reviews (118)
Analytics

4.69/5 ★

Read Reviews (558)
Custom Reports

4.12/5 ★

Read Reviews (619)

Google BigQuery Integrations

Google BigQuery integrates with a wide range of software applications through its robust data import and export capabilities.

Data Import

3.99/5 ★

Read Reviews (288)
Data Export

3.79/5 ★

Read Reviews (177)

Few API Integrations for Google BigQuery

Software Failure Risk Guidance

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for Google BigQuery

Overall Risk Meter

Low Medium High

Top Failure Risks for Google BigQuery

Google LLC News

Product

Google Launches AI - Powered Resource Hub for Small Business Growth

Google has launched an AI-powered resource hub for small businesses, centralizing tools for business profiles, ads, analytics, and AI features. This initiative aims to simplify online marketing and support SMB growth, reflecting Google's commitment to empowering small enterprises. The hub integrates AI tools to automate ad creation and targeting, enhancing efficiency for business owners.

Product

Google Enhances Performance Max with Asset Segmentation and Channel Reports

Google has enhanced its Performance Max advertising platform with asset segmentation and a beta channel performance report. These updates provide advertisers with detailed insights into ad performance across networks like Search, YouTube, and Display, addressing transparency concerns and enabling data-driven optimizations for efficiency gains of 20-40%. The enhancements aim to improve ROI by allowing advertisers to refine strategies and better allocate budgets.

Company

Google gradient G logo expands company - wide as new visual identity

Google is updating its visual identity by rolling out a new gradient 'G' logo across all its platforms and services. This redesign, initially introduced for Google Search, symbolizes Google's focus on AI while maintaining its iconic four-color scheme. The change marks the most significant update to Google's branding in a decade, aligning with its AI-driven strategy.

Partnership

Google and Qualcomm Partner to Integrate Gemini AI with Snapdragon Tech

Google and Qualcomm have partnered to integrate Google's Gemini AI models with Qualcomm's Snapdragon technology. This collaboration aims to enhance AI capabilities in vehicles and devices, focusing on user-centric experiences and bridging cloud and edge computing. The partnership seeks to transform AI into an essential tool, particularly in the automotive sector, by creating intelligent systems that anticipate user needs.

Google LLC Profile

Company Name

Google LLC

Company Website

https://about.google/

HQ Location

1600 Amphitheatre Parkway, Mountain View, CA 94043, US

Employees

10,001+

Social

Financials

SERIES A