Act on data
Insights in minutes
AI-powered analyst

Don’t miss key changes in performance. Datu AI Analyst helps surface likely causes behind metrics changes and analyse your data in minutes, all in natural language, with no technical expertise. AI Analyst masters many tasks, so you can focus on the business.  

AI Analyst key functionality

  • AI Data Engineering

    Connects to your company and prepares the data for your decision making by detecting data quality issues and modelling the data

  • AI Data Analytics

    Analyzes data, uncovers patterns, providing understanding of what and why it happened

  • AI Data Science

    Utilizes advanced analytics techniques to determine what will happen and what actions to take

Performs deep research and analytics

Analyzes key KPIs, uncovers root causes, and visualizes processes to help you identify the drivers that have the greatest impact on performance like a data scientist. Supports analytics across the whole enterprise data. 

Provides knowledge base of KPIs

KPI database with pre-built analyses and best practices across multiple domains helps you get started quickly with your analytics. You can easily save additional KPIs and share them across your organization. 

Connects to your business data

Integrates directly to your database in a matter of hours with self-service setup. Available connectors for the major databases (Databricks, Snowlake, SQL server). Possibility to integrate with Slack and Teams, enabling easily access within organisation.

Resolves data quality issues

Automatically detects data quality issues, flags anomalies, and resolves them to ensure clean, reliable data for decision making. 

Automates actions and triggers

Monitors data and triggers activities in real time based on your data whatever it is about data quality, improvement monitoring or requesting new data from engineering department. 

Case studies on what you can mine with AI Analyst

  • Supply chain

    • Identify key contributors to on-time-delivery (OTD) performance, root causes for delays such as low inventory levels or bottlenecks

    • Measure lead times between different process steps and variation

    • Monitor delivery performance by regions, products and carriers

  • Sales

    • Measure sales and profits

    • Understand impact of your actions such as campaigns on sales

    • Identify key drivers behind revenue increase or drops

    • Who is likely to churn and key factors contributing (low usage, high complaints).

  • Procurement

    • Analyze supplier lead times and identify potential risks to productiom

    • Receive recommendations for updating agreed lead times to meet demand

    • Understand the breakdown of procurement costs and uncover savings opportunities, such as order consolidation

    • Perform three-way match analyses to detect discrepancies in quantities

    • Identify discrepancies planned and actual material consumption

  • Inventory

    • Monitor inventory levels across locations

    • Identify overstocked or understocked materials

    • Identify slow-moving or obsolete inventory

    • Understand key inventory KPIs, such as turnover

    • Get suggestions for replenishment cycles and optimal inventory levels

Contact us

  • Datu team

    hello@datu.fi+358 40 413 5609