Augmented analytics, which combines a data platform, artificial intelligence (AI), and human expertise, allows companies to go beyond the limits of traditional analytics. This synergy accelerates strategic decision-making by turning massive volumes of data into actionable insights. Data exploration and interpretation assistance, and strategic recommendations: discover how AI embedded in a self-service data management and analytics platform transforms your Business users into decision-makers.
Augmented analytics is using artificial intelligence and machine learning to automate data exploration, generate predictions, detect trends and direct the action plan. Unlike traditional data analysis, augmented analytics reduces the cognitive load on decision-makers.
Based on data and user needs, AI suggests leads, automates complex tasks such as data preparation or anomaly detection, and shares business recommendations. Embedded in a data platform that covers the entire lifecycle of the data, AI promotes the appropriation of tools and improves uses, both for technical users and businesses.
- Optimization of Decision Making: Combining the power of AI with human intuition allows for more precise and contextualized recommendations, while speeding up the process.
- Time and Efficiency: Automating data analytics allows decision makers to focus on strategies rather than processing data. Data and IT teams gain efficiency through automatic generation or assisted transformation of computer code.
- Data Access Democratization: Augmented analytics tools empower non-technical users who can interact with data in natural language . An effective way to instill a data-driven culture in the organization.
- Risk Prevention: The early detection of anomalies or emerging trends helps to anticipate risks and adapt strategies accordingly.
The Asset of an On-Premise AI: Security, Compliance and Performance
Unlike online solutions, on-premise AI, installed locally, has key advantages for securing sensitive data. Internal hosting ensures total control of the data and reduces the risk of leakage.
Embedded in a data analytics platform, the AI automatically takes into account data governance rules and filters response content based on user permissions.
The processing is done in real time, with no latency linked to an Internet connection, and is adapted to large amount of data.
A solution particularly suitable for organizations handling sensitive data such as finance, health or defence, which are subject to strict data management requirements.
Combining a local AI assistant with a self-data analytics platform that covers the entire data cycle, from source ingestion to data visualization, and empowers business users in data exploitation, this is the promise of the latest version of Suadeo’s software platform.
By combining Suadeo Self Data Services® with human expertise, organizations can truly capitalize on their data to control their environment and become more competitive.
