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

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 DataGPT.

DataGPT vs Looker at a glance:

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

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.
	DataGPT	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 DataGPT and Looker make it clear that DataGPT 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, DataGPT 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, DataGPT thrives in these challenging areas. With DataGPT'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," DataGPT consistently delivers where Looker falls short. By adding DataGPT, you're investing in a more informed and dynamic future for your business.