Conversational Analytics
We’re implementing an intelligent conversational layer for your data warehouse. Ask business questions in natural language and get answers in seconds.
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We empower leaders:
Key benefits of implementing conversational analytics
Traditional BI reporting often becomes a bottleneck. We’re changing the game by putting analytics in the hands of the people who make day-to-day decisions, rather than just a handful of experts.
The Democratization of Data
We’re breaking down the technological barrier. Every employee from sales reps to executives—can independently draw insights from the data warehouse without needing to know SQL or use BI tools. No more waiting for an analyst’s help.
Real-time decisions
Time is money. Instead of waiting days for a report from IT, you get an accurate answer the moment you ask the question. Respond to market changes immediately, before your competitors do.
Contextual understanding
Our systems understand industry jargon and the unique definitions of your KPIs. The AI knows what “margin” or “active customer” means for your business, combining data exactly according to your standards.
Multi-channel support
Your data warehouse is accessible anywhere. We integrate the assistant with Slack, Microsoft Teams, or your company portal. You have access to key metrics at your fingertips whether you’re in a meeting, at the office, or on your smartphone.
What does a conversation with your data look like?
Forget about complicated SQL queries and waiting for an analyst’s availability. This solution acts like a smart assistant that knows your business inside and out. We’ve streamlined the entire process into three simple steps that cut the time from question to decision from days to seconds.
For the Board of Directors
Example: “What was the margin last quarter compared to the previous year?”
For Sales
Example: “Which Enterprise customers did not renew their subscriptions this month?”
For Marketing
Example: “Which LinkedIn campaign had the lowest cost per lead in March?”
For HR/Internal Use
Example: “How many vacation days has the development team taken on average this year?”
Ready for a new era of analytics?
Contact usA smart bridge between questions and data
Behind this simple chat lies an advanced architecture that ensures precision and security. We don’t let AI guess – we build a system that translates business language into database language, relying solely on facts.
A Solid Foundation: Your Data Platform
We use your existing environment (BigQuery, Snowflake, Redshift) as your single source of truth. The system does not copy data—it analyzes it right where it is most secure.
Semantic Layer: Business Translator
We map the technical structure of the database to business concepts. This allows the AI to recognize that a column’s abbreviated name in the system actually corresponds to your key metric, such as “Revenue.”
LLM Engine: Precise Queries
We integrate state-of-the-art models (such as Gemini), which, thanks to advanced prompt engineering, do not “make up” answers but generate error-free SQL code that is ready to be executed in the data warehouse.
Security: Full access control
Your data is protected by strict role-based access control (RBAC) mechanisms. The AI will only provide responses based on the information to which a given user has official access within your organization.
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Ask about implementationZobacz analitykę konwersacyjną w praktyce
Take advantage of our expertise
End-to-End Implementation
We provide consulting services to help you choose the right solutions, as well as rapid development and implementation of a high-performance cloud data warehouse.
We help you maintain, optimize, and enhance it with new features.
Extensive Tech Stack
We use modern and efficient technologies, selecting them to best achieve our goals.
This allows us to build platforms that are perfectly tailored to our clients’ needs.
A Team of Professionals
Our engineers and data analysts have the expertise and years of experience needed to deliver solutions across a wide range of industries.
We select specialists for our projects who understand your requirements.
Data Team as a Service
You receive support from a dedicated team of experts who are always available when you need them.
This also includes assistance with expanding your infrastructure and training your staff.
Customized Services
We create cloud data warehouses that are precisely tailored to your requirements and budget.
We take into account your industry, company size, your goals, and other important factors.
Data Security
We work within your environment and do not collect any data from it, which ensures its security.
You decide what information we have access to while we work.
Turn your data into actionable insights
Contact us
Bartosz Szymański
Data Strategy and Customer Relations Director
Your data holds great potential. Ask us how to make the most of it
FAQ
What exactly is conversational analytics, and how will it impact my business?
Conversational analytics is a technology that connects your data warehouse with large language models (LLMs), allowing you to interact with data through simple conversation. Implementing this solution in your company will democratize access to knowledge – every employee will be able to instantly obtain the necessary analyses without needing to know SQL or use BI tools, which will significantly speed up decision-making processes.
Is my data secure, and does AI learn from our confidential information?
Data security is our top priority. At Alterdata, we deploy solutions within your private cloud infrastructure (e.g., Google Cloud or Azure). We use AI models in a closed environment, which means your business data never leaves your environment and is not used to train public models from third-party providers.
Can conversational analytics provide incorrect data (so-called “AI hallucinations”)?
We minimize this risk by using a fact-based architecture (e.g., RAG or Text-to-SQL technology). The AI doesn’t “make up” answers; instead, it translates your question into a precise database query. If your data warehouse doesn’t contain an answer to a specific question, the system will let you know instead of providing incorrect information.
With which systems can the conversational interface be integrated?
Our solution is flexible and can be integrated with the tools your team uses every day, such as Microsoft Teams, Slack, or internal company portals. We can also develop a custom web application tailored to your organization’s specific needs.
Do I need to have a modern data warehouse to implement this solution?
Conversational analytics works best when based on a structured data model (e.g., BigQuery, Snowflake). If your data is currently scattered or needs to be modernized, our team will help you lay the groundwork (Modern Data Warehouse) first so that the AI engine can use it effectively.
How can I measure the results of implementing conversational analytics?
You’ll measure the results primarily by the dramatic reduction in the time it takes to get business answers – from hours or days to just a few seconds. You’ll also see a decrease in the number of simple queries coming into the IT/BI department, allowing your analysts to focus on more complex tasks, as well as an increase in the use of data in your team’s day-to-day operations.