The Looker application for Google Cloud Platform allows anyone in your organization to easily analyse and uncover insights from your data. It makes it simple to create a data exploration platform which makes your data available in a meaningful and intuitive manner for the entire company. It makes data-driven decision making accessible to all levels of business. This is an analytics-based platform which defines business metrics across all sources of data in a distinct and consistent way, creating a true source of information.
The data model of Looker provides constant, up-to-date, and controlled real-time view of your data across multiple cloud providers and across your entire company. Create richer applications that incorporate analytics quicker and using less code, by integrating Looker into your app’s products, internal portals by using Looker’s SDK, APIs, as well as Looker Blocks. Rapid, proactive insights that are embedded into the places you work can help you make better business decision-making. The Looker application allows you to give insight at the right moment and in the right place with proactive alerts and extensive integrations.
Multi-Cloud, on-prem and multi-database access to support any data enviornment
Fine-grain permission control provide column,row, and content permission inherited from your access management systems
In-database architecture,powerful modeling layer, and transform-on-query capabilities enables data team agility, and keeps data governed
Version controlled centralized data governance ensures data accuracy and lineage
Semantic Modeling layer standardizes and simplifies complex metrics and data definitions
To address this challenge, the Stilbon team brainstormed a comprehensive solution that enables the analysis of leads, opportunities, and other sales data from multiple sources. Our solution involves funneling the data through Google Cloud’s BigQuery pipelines into Google Cloud Storage. We then use Google Cloud Dataproc to transform the data using Python, Scala, or R, applying business logic as needed. The transformed data is pushed into Google Cloud Storage and then into the production BigQuery tables to which downstream systems integrate for their business needs.
Stilbon team implemented data integration from BigQuery to Looker dashboards using which business intelligence reports are generated for the customers to visualize data trends and anomalies.
Our solution provides various process improvements and regular notifications cautioning about data anomalies that have created a strong impact in maintaining data consistency and healthy pipeline
Our solution has resulted in an 87% improvement in performance and reduced overall data processing time from 7.5 hours to 1.5 hours. Our notifications help in addressing unhealthy pipeline and data issues promptly, thereby ensuring seamless data integration across systems. With our solution, businesses can gain deep insights into their sales pipelines, accurately forecast demand, and make data-driven decisions with confidence.
Provide modern and efficient data experiences and create new revenue streams through embedding analytics into websites and apps. Let users have the data they require, at the time and where they require it. Speed up your time-to-value by letting teams make use of already-existing data warehouses and data pipelines Looker analysis, as well as a data model instead of building the models from scratch. Improve collaboration and reduce time by using Git version control.
Gain more value from information through its use to drive decisions, boost efficiency and provide better customer service using the latest business intelligence. Allow non-technical employees to access real-time, self-service insights while still ensuring access controls. Free yourself from siloed data and instead offer your users complete insights into the data you control through dashboards and visualisations which are compatible with your modernization plan for BI.
Enhance agility and maximize the ROI of your applications and other workloads on your choice of cloud and database. With Looker it is possible to create insights and automate processes using data no matter the location. Create data-driven experiences using Google Cloud or on-premises systems, and using data that is stored in BigQuery as well as other databases. Design a multicloud approach that is flexible by assessing the cloud's usage and cost.
Automate manual processes and streamline the workflow process with pre-built integrations within Looker Actions or design Your own customized Actions. Let users take action on data directly from Looker without having to switch between different applications to get fast and useful value from the information when and where they require it. Make your work easier by transferring your dataset to various systems in order to create workflows and automate tasks through Looker connections and insight.