When the next business question isn't in the dashboard
Every business reaches the point where a leader asks a question that no dashboard answers. The request goes to the data team, the business waits, and decisions move forward without complete information.
Actian AI Analyst gives business teams trusted answers grounded in shared business context, so they can explore data and make decisions without waiting on analysts.
- Ask business questions in plain language
- Explore beyond existing dashboards
- Get answers grounded in shared business context
- Make decisions without waiting on analyst queues
Ask business questions in plain languageSee AI Analyst in your environment
Get a personalized demo tailored to your data and see how governed conversational analytics can turn your team into data explorers.
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Businesses today are data-rich, but insights-poor
Wasted time
Data teams waste time with repetitive requests.
Source: McKinsey
Wasted data
Business data goes unused for decision-making.
Source: Forrester
Wasted dashboards
Dashboards go unused after 90 days.
Source: Gartner
We were able to centralize our analytics & BI data into a single solution. The data catalog design via the Studio app enabled data transparency and clarity in the documentation of our data assets, while the Explorer app enabled our end users to find the right data for their respective use cases via its data discovery features, which represented a big advantage for Lufthansa Cargo.
We chose the data catalog solution after a thorough review of the solutions available on the market as it was perfect for Gewobag: it is available in German, it automatically connects and synchronizes metadata from all of our sources, and it is unrivaled in terms of flexibility and configurability of properties and metamodeling. In addition, the product’s user-friendliness seduced our data teams, and we hope that it will have the same recognition from the business users. Finally, we were accompanied by sales and support teams who carefully listened to us and adapted the product to our specific needs, right from the POC phase.
In our opinion, only the business functions can truly transform the company into a data-driven one. Data Catalog is the tool they need – efficient and usable – so that they are fully aware of the data they have available. It builds the bridge between business and data at Autostrade. From a business perspective, it is fast, complete, easy to understand, and user-friendly. Whereas from an IT perspective, it is agile, scalable, and continuously upgradeable.
We handle gigantic volumes of market data from a variety of providers, technologies and formats. We were looking for a solution that would allow us to get a clear picture and provide more context to our data assets. Data Catalog meets these objectives, and answers strategic questions such as: What data do we have? What are their sources and cost? Who has access to it? What are our data assets’ metadata and relationships? We look forward to building a long-term partnership and creating significant value together.
The company is concentrating on the core of data cataloging, thereby setting itself apart from the competition. The tool is clearly arranged for me. The essential core functions run stably, even in larger scenarios. In terms of look and feel, it is clearly aimed at business users. I think the idea and approaches have succeeded in making the data catalog grow adaptively with the company.
