Google Conversational Analytics
Self-service analytics, when paired with enterprise-scale security and governance and supported by reliable metrics, can avert data anarchy and enable you to promptly comprehend and act upon your data insights. Generative AI has rekindled this promise.
In the midst of this data revolution, Looker is revolutionizing business intelligence (BI) for the AI age by empowering all members of your organization with trusted insights and removing information-related technical barriers that have impeded cooperation and discovery. With the help of its semantic model, complex data can be made simpler with specified business metrics, which is necessary to integrate Gen AI into the enterprise and turn data into reliable measurements.
As part of Gemini in Looker, Google Cloud is now ready to offer customers conversational analytics in preview, fulfilling its commitment to providing intelligent AI-powered BI to everyone. This is a significant step forward in its transformation journey.
With the use of Looker’s semantic layer and artificial intelligence (AI), Conversational Analytics, the first Looker data agent, enables users to ask questions of their data in natural language and take action depending on the answers they get. Customers may now use business intelligence without being required to be technical specialists. They can choose which data to inquire about and ask questions about it just like they would ask a colleague, thereby enhancing usability and lowering obstacles to discovery.
Thanks to Google AI’s Gemini in Looker, conversational analytics will enable data analysts to fast find and present answers for informed collaboration by leveraging simple data access, code-free visualization, and report production. With their topic expertise, they can also delve further into queries and examine the answers in-depth for precise precision.
Conversational Analytics not only integrates with Looker’s semantic model but also with BigQuery and Google Sheets, so you can ask questions directly of your data stored in these places and receive prompt, visible responses. After creating a chart or visualization with Conversational Analytics, you can use Looker Studio to further examine it and create and share additional dashboards and reports.
The ability to connect all of your data to AI, an agile semantic layer like Looker’s, built-in governance to make sure the right people have access to the right data, and integration with the daily tools and workflows your business depends on are all necessary to fully realize the promise of true conversational analytics across your organization. Data-driven decision-making is completely enabled when consumers aren’t limited to pre-built dashboards or intricate SQL queries. Your whole organization, including business and analyst teams, can communicate with your data and quickly acquire insights. With the use of Gemini’s AI capabilities and LookML as a foundation, Conversational Analytics offers prompt responses, deeper exploration through follow-up inquiries, and AI-powered suggestions for sure, data-driven action.
Beyond insights: Encouraging the workforce as a whole
Not only is conversational analytics a search engine for answers, but it also speeds up the process of taking data-driven action straight out of Looker Studio. By combining insights and actions, conversational analytics enables teams to react swiftly and efficiently to opportunities as well as difficulties. With built-in explanations for results and out-of-the-box connectors for export to Looker Studio reports, Conversational Analytics is specifically tailored to your organization’s workflow. It can manage multi-turn follow-up queries to your data.
Looker is made to provide uniform measurements throughout your company by creating a single source of truth for your data. And thanks to Conversational Analytics, Looker can now comprehend the intention behind a question, construct the right query, and present the findings in a clear and understandable graphic. This saves time and allows a larger audience within your company to participate in data research.
We think this tool will open up new possibilities for innovation and efficiency for companies of all sizes by providing data insights to everyone, regardless of technical proficiency. Also, we believe that Conversational Analytics would greatly enhance self-service data exploration, resulting in quicker insights and better data literacy, increasing the potential for well-informed cooperation and optimized processes.
Your administrator must activate Gemini in Looker before you can begin using Conversational Analytics. At the September 24th Gemini at Work event, you can also register now to find out more about its advancements in AI and business intelligence and see how businesses just like yours are using Google’s generative AI to spur innovation and provide quantifiable outcomes.
