Looker vs Comparative AI: A Comparison of Traditional BI and The New Era of Conversational Data Analysis.

Looker vs Comparative AI: A Comparison of Traditional BI and The New Era of Conversational Data Analysis.
Photo by Shubham Dhage / Unsplash

In the dynamic landscape of business intelligence, Looker's traditional approach and promise to "drive better outcomes through smarter data-driven experiences" might seem appealing. However, the reality is often less rosy. The intricate expertise, substantial time, and significant resources required to extract and deliver insights from your data using Looker can present considerable challenges. It's perhaps no surprise that business user adoption of BI tools lingers at a mere 18%, and analyst backlogs show no signs of abating.

Against this backdrop, a new category of automated conversational analysis has emerged that can complement your existing Looker setup or can be adopted standalone. Leading that category is Comparative AI.

Comparative AI vs Looker at a glance:

This table represents a feature Comparison between Looker's capabilities and Comparative AI.

Data Analysis Feature
Identify Relevant Data
Automatic Database Syncing
Support for Multiple SQL Database Dialects.
Universal Database Compatibility. 
Outlier Detection
A manual outlier detection tool that utilizes SQL queries to identify anomalies in data using straightforward techniques such as standard deviation and percentile analysis. However, it does not automatically remove identified outliers.
Automated Outlier Detector. View interface
Custom Dashboard Builder
Proficiency in Looker's programming language empowers users to design and develop custom dashboards for their data visualization and analysis needs.
The process of creating customized dashboards is significantly streamlined by utilizing simple SQL queries and a schema builder, which enables users to efficiently map out data relationships with ease and accuracy.
Data Subset Analysis
Users have the ability to analyze a collection of data and compare specific subsets based on predefined filters or criteria.
Users can filter dashboard data by selecting dimensions and segments. Upon applying filters, the dashboard updates to display an adjusted view of relevant information.
Data Analysis Feature
Construct Data into Arguments
Metric Exploration with Dynamic Segmentation
Dynamic segmentation is constrained in this tool as it relies on predetermined dimensions, requiring a dashboard overhaul for new dimensions.
Automated Metric Exploration with Dynamic Segmentation and Integrated Time-Series. View interface
Simultaneous Dynamic Segmentation and Drill-down of multiple metrics
The limitation of investigating dimensions for only one metric at a time results in the unavailability of simultaneous dynamic segmentation and drill-down of multiple metrics.
Automated Simultaneous Metric Segmentation and Drill-Down for multiple metrics. View interface
Data Insights
Manual dimension-by-dimension analysis involves exploring each dataset dimension to uncover insights, requiring significant time and effort.
Automated Data Insights. View interface
Heatmaps and Retention Analysis
Heatmap Generation provides color-coded visualizations for data trends and Retention Analysis tracks customer return rates over time.
Heatmaps and Retention Analysis are currently not supported.
Querying data by a having conversation is not supported.
Daily insights and exhaustive dimension drilldowns are accompanied by our AI chatbot.

The Value Difference

The stark differences in features between Comparative and Looker make it clear that Comparative is an indispensable tool for businesses seeking actionable, real-time insights. While Looker's forte lies in creating data visualizations to help users understand 'what' happened with their data, Comparative excels at answering the more crucial and complex question - 'why'.

As Looker grapples with scalability issues, steep learning curves, and a lack of real-time analysis, Comparative thrives in these challenging areas. With Comparative's advanced algorithm, your organization can leverage automated analysis to explore all combinations of factors, pinpointing the most impactful segments contributing to metric changes. This is further complemented by our groundbreaking DataGPT, a conversational AI chatbot that introduces a new level of intuitive interaction with your data. The ability to ask questions in plain English and receive answers in human terms is not just a convenience - it's a significant leap forward in data democratization.

These unique features come together to offer unparalleled speed and depth of analysis, empowering your organization with the agility and precision required for effective data-driven decision-making. In the quest for "better outcomes through smarter data-driven experiences," Comparative consistently delivers where Looker falls short. By adding Comparative, you're investing in a more informed and dynamic future for your business.