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Best automated Google Big Query reports for marketing teams

Build automated marketing reports for your analytics teams and clients using Google Big Query data.

Automate Google Big Query reports and dashboards
Connect Google Big Query data and create automated reports and dashboards
Automated marketing reports
Business features include
 
Automated Google Big Query reporting
Automated reporting
Keyword rank tracker
Send data to Google Sheets
B2B lead generation
White label client portal
Send data to BigQuery
ChatGPT data insights
 
Automated marketing reports

Automate Google Big Query reports and dashboards

Connect Google Big Query data and create automated reports and dashboards

Multi-channel templates for Google Big Query

We created over 300 professional reports for you to use. Modify Google Big Query data reports or create new reports from scratch.

Automated marketing reports
 
Seo client reporting templates for agencies

Build Google Big Query reports quickly — Use our templates

No need to study all Google Big Query metrics or build reports from scratch. We have created over 350 templates for your dashboards and reports for you to choose from.
You can also create custom Google Big Query reports or modify any of the existing templates.

Seo client reporting templates for agencies
 
Octoboard business cloud data dashboards for churn reduction

Showcase your Google Big Query data

Show how hard you work for your clients. Create Google Big Query graphs and metrics that demonstrate positive historical changes and results.

Compare historical Google Big Query KPI changes and prove ROI to any business with regular and automated reporting.

Octoboard business cloud data dashboards for churn reduction
 
White label client portal

Enable white label client portal

Create and host white label client portal on your website using Google Big Query data. Use our library of templates, place your logo and send automated reports in seconds.

Share data view links

Create public and private Google Big Query dashboards and reports. Embed data views into any page of your website. Setup is very easy and does not require IT support.

White label client portal
 
Automated cloud data insights

Use OpenAI and ChatGPT to indentify Google Big Query data trends

Octoboard will constantly monitor Google Big Query data changes for you. We use ChatGPT and OpenAI to identify Google Big Query trends and send regular updates.

Connect once and enable our AI engine

We employ our own machine learning algorithms to automatically discover Google Big Query trends that you may miss. Connect to your Google Big Query data and receive insights in your Email box.

Automated cloud data insights
DATABASE REPORTING TOOL / GOOGLE BIG QUERY

GOOGLE BIG QUERY REPORTING

BigQuery data exports

Octoboard data dashboard: Bigquery data connection in octoboard

Use this BigQuery connection to add historical data widgets, pie charts and numeric widgets to Octoboard business performance dashboards, automated reports and white label client portals.

For more details on how to connect your database or BigQuery account to Octoboard please visit this Knowledge Base post.

Notes
When connecting to BigQuery, please enter your standard parameters - account name, project and dataset. For more details on how to create a generic database connection, please read this tutorial.
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Last reviewed:
6-Feb-24
Dashboards:
Reports:
Client portals:
White label:
Data refresh:
OpenAI Data insights:
Office TV output:
Multi-client:

Google Big Query metrics

BIGQUERY NUMERIC

BigQuery Numeric widget
Description
This widget displays a single numeric value. SQL statement should return a single column. The very first value will be read and displayed in the widget. In the following example, SQL statement returns population of USA:

SELECT population FROM countries WHERE country="USA"
USE THIS METRIC

BIGQUERY CATEGORY

BigQuery Category data widget
Description
Category widget displays values in tables or pie charts. SQL statement should return two columns. First column should contain category name, second column should return numeric values.

In the following example, SQL statement retrieves country names and country population. Pie chart will display countries ranked by population size:

SELECT country, population FROM countries
USE THIS METRIC

BIGQUERY HISTORICAL

BigQuery Historical data widget
Description
Historical data widget displays historical data in a column, line or area graph. SQL statement is expected to return two columns. The first column should have dates, second one should have values.

In the following example, SQL statement retrieves shares price for Apple.

SELECT date, price FROM stock WHERE ticker="AAPL"


Make sure you sort results by date. Sequence of returned data raws is important. The platform will display first 1000 rows that it retrieves.
USE THIS METRIC
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