Looker Analytics in Google Cloud

Looker Analytics in Google Cloud

Freely explore data with trusted actionable insights into every decision you make with Looker analytics.

Looker Analytics in Google Cloud

Looker Analytics Overview

YouTube video player 1

Real-time Looker analytics empower business users at any skill level across organizations to take full advantage of self-service business intelligence. The synergy between Looker and Google BigQuery allows your organization to get an end-to-end view of all channels, make data-driven informed decisions, and drive higher ROI.  

We recognize that when data is hard or slow to access, business stakeholders will often just skip it. That is why we believe it is crucial to make data available to you. Anytime. Anywhere. 

Sample Looker Analytics Use Cases

Retail

Manage inventory levels and automatically remove out-of-stock items from the site.
Healthcare

Healthcare

Enhance value-based care with a custom analytics portal, allowing physicians to explore and analyze payer/provider costs.
Telecom and Media

Telecom and Media

Boost ROI on digital ad spend by using a real-time ML ‘bid-bot’ trained with governed data.
Financial Services

Financial Services

Accelerate loan processing by applying machine learning for more accurate loan payback predictions.

Why Looker Analytics in Google Cloud?

Looker Analytics is a powerful business intelligence (BI) platform that helps organizations make better decisions by providing insights into their data. When used in conjunction with Google Cloud Platform (GCP), Looker can offer even more value by leveraging GCP’s scalability, security, and reliability.

Insights Accessibility

Empower everyone in the enterprise to get easy access to trustworthy data that helps them make informed data-driven decisions.

Integrated business insights

Democratize data across your organization and integrate all actionable business insights into a single data analytics platform.

Data-driven workflows

Save time and money by automating business processes. Put data to work at every part of the enterprise.

Custom applications

Leverage purpose-built tools to deliver tailored data experiences for all users. Ensure data quality and consistency with pre-built codes.

Quick time to insights

Get the Looker analytics platform all set up and running in a couple of days leveraging pre-built Looker blocks that help tailor data approach.

Operational efficiency

Push interactive, engaging data visualizations into your workflows at the most convenient time to increase effectiveness and reduce overhead.

Looker Features

Discover the powerful capabilities of Looker Analytics on Google Cloud. From near-real-time visualization and seamless embedding of charts to intuitive drag-and-drop reporting and the innovative LookML language, these features are designed to maximize your data’s potential and drive insightful decision-making.

Near-Real-Time Visualization

Looker’s ability to refresh dashboards at fast pace combined with BigQuery’s high-speed processing is a true power. Data shards can be streamed directly to Looker dashboards.

Embed Charts and Dashboards

Easily embed charts and dashboards into your business tools and have comprehensive options for your users to get data scheduled and delivered to them on time by email, SMS, or FTP.

Drag and Drop Reports

Leverage multiple dimensions and metrics to create interactive dashboards based on your tailored business logic.

LookML

The new data language – LookML is all about reusability as it helps you to construct SQL queries on the fly against your database.

Make data available to you. Anytime. Anywhere.

Modernize your data analytics platform by initializing powerful and modern BI combined with BigQuery – industry’s truly powerful analytics data warehouse.

Adastra’s Approach to Looker Analytics

We create a single trusted source of cleansed and transformed data, held in BigQuery. We help you develop interactive dashboards in Looker that draw on the same dataset to put information at the fingertips of multiple user groups.

1

Unify

Create consistent data models on top of all your data with speed and accuracy to make it easily accessible in Looker afterwards.

2

Load

The modern data stack is centered on a powerful data warehouse and is directly loaded into it.

3

Transform

Use a robust and reliable transformation layer to turn that raw data into dependable and meaningful datasets.

4

Visualize

Bring your data to life by turning datasets into interactive dashboards that help business users gain actionable insights in an interactive fashion.

Looker Analytics on Google Cloud

Looker Analytics FAQ

What is LookML?

LookML is a way to translate each business’ metrics into language that your database understands — a way to give your data consistent and trustworthy meaning. 

Looker supports more than 50 different dialects of SQL, which makes it extremely attractive to users at any technical level, since Looker allows you to choose whatever database makes the most sense for your business. 

LookML is a code-based language, which lets SQL-familiar developers and analysts pick it up in a few hours. LookML makes it simple to get the knowledge about what the data means out of analysts’ heads and into software that scales seamlessly. 

Plus, it brings flexibility, version control, and governance to SQL–all things that SQL has historically lacked. 

Yes, being a part of the official Google stack, Looker analytics platform is fully integrated with Google BigQuery data warehouse. The power of BigQuery is directly leveraged by Looker because all transformation is done in-database. Looker can write your queries and leverage BigQuery’s power to get all the answers you need.

Your organization requires storage, processing, and management of your different data sources in a centralized data warehouse. BigQuery is Google Cloud’s solution to fast and scalable cloud data warehousing that meets the data demands of enterprise businesses nowadays. BigQuery is proven to be the better choice than other on-premises solutions and cloud providers and lays at the foundation for data innovation.

Yes, Looker Analytics is compatible with more than 60 SQL dialects. It can connect to and analyze data from popular databases such as Amazon Redshift, Snowflake, MySQL, PostgreSQL, Microsoft SQL Server, Oracle, Teradata, SAP HANA, Amazon Athena, Impala and many others. This flexibility allows you to leverage your existing database infrastructure and ensure seamless data integration and analysis.

We aggregate all data customer points in a centralized data platform, regardless of where it comes from. Adastra’s main goal is to accelerate your time to insights by leveraging a self-service analytics platform while unlocking the hidden value through business prediction and personalization.

1.Gather an overview of your company’s structure

  • Identify your business needs and what questions you need to ask yourself.
  • Understand your stakeholder needs and framing your requirements.

2.Build a roadmap of more in-depth solutions

  • Dive into solution discovery and how to align with specific business challenge.
  • Get the most from platform and effectively build cost structures.

3.Estimate the specifications and finalize the expected outcome

  • Plan the process and timeline of your evaluation to ensure smooth execution.
  • Build a LookML model on top of your tables in BigQuery.

Let’s Talk Looker Analytics