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    Data, AI & Analytics

    Most businesses already collect the data they need to make better decisions; it is just trapped in separate tools. These solutions bring it together, put it in front of the right people, and apply AI where it saves real time, with guardrails that keep people in control.

    FAQ

    Data, AI & Analytics questions

    Which BI tool should we use?

    Power BI is a strong default for Microsoft shops, Looker Studio suits Google-centric and budget-conscious teams, and Tableau excels at complex analysis. We recommend based on your data sources and users.

    What is a data warehouse?

    A central database optimized for analysis that stores cleaned, combined data from your business systems, including history, so reporting and analytics run from one trusted source.

    What is an AI agent?

    An AI agent is a system that uses a language model to plan and complete multi-step tasks, using tools like your CRM, email, or databases, rather than only answering questions in a chat window.

    How accurate is AI document extraction?

    Accuracy is high on typed documents and improves with consistent layouts. Every field gets a confidence score, and anything below the threshold goes to a person, so errors are caught before posting.

    How much data do we need for forecasting?

    Generally at least one to two years of consistent history for seasonal forecasting. Simpler models can work with less, and we assess your data before committing to an approach.