Faster answers to data questions
Employees get access to information relevant to their decisions.
Ask questions about your business data in plain language and see what’s happening sooner.
Not every employee can build a dashboard or write a query independently. As a result, follow-up questions still depend on analysts. Conversational analytics lets users ask questions about data in natural language.
An application only becomes meaningful when it fits a specific task and the information available for it.
Reliability still depends on data quality, definitions and checks on interpretation. That is why we decide in advance what the solution should and should not do, how its output will be checked and who remains responsible.
Employees get access to information relevant to their decisions.
Shared data sources and definitions reduce discrepancies between reports.
The solution is designed for the people who work with it every day.
We identify which question or decision the BI solution needs to support.
We bring data sources together and agree on definitions.
We build an initial, usable analysis or dashboard.
We assess whether it is easy to understand and fits the way people work.
We make improvements based on questions, usage and changing data.
This service is relevant for organisations that want to make data analysis more accessible. The exact setup depends on the process, the available data and the risks involved in the application.
We therefore start with a clearly defined application and only expand it once the initial setup works in practice.
This service addresses the following challenge: conversational analytics lets users ask questions about data in natural language. Exactly how it works depends on the process and the available data.
The service may be relevant to organisations that want to make data analysis more accessible. A specific need and usable information matter more than the size of the organisation.
That depends on the chosen application. We start with the question that needs to be addressed, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the challenge effectively and add complexity only when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. Once it is in use, we monitor how it works and adjust the solution when the data, its use or the context changes.
Want to explore where it makes sense to start with conversational analytics? Together, we'll map out the challenge, the available information and the conditions to consider.