QB Analytix Preeminent Software Value Plus IBM Partner for Performance Management Solutions
PRODUCTS

Distribution
Enterprise System
Product Brand

Benefits

This software platform is designed to help businesses with decision-making based on real-time data, collaborating seamlessly with multiple stakeholders and forecasting future outcomes using advanced statistical and predictive algorithms without the need of IT.



Flexibility and scalability

Allows for a high degree of flexibility in data modeling and analysis, making it easier to accommodate changes in business requirements and adapt to evolving business needs. Can scale to handle large volumes of data, making it suitable for large enterprises and complex business environments.

 
Speed and performance

Designed for high-speed, real-time data analysis and modeling, making it ideal for large, complex data sets. The in-memory database architecture allows for rapid data retrieval and processing, enabling users to analyze data quickly and make informed decisions.

 
Data integration

Using TurboIntegrator, it can integrate data from a variety of data sources, including spreadsheets, leading EPM (such as Oracle, SAP), and other data management systems, making it easy to combine data from different sources for analysis and report authoring.


Real-time collaboration

Provides a platform for collaborative planning, budgeting and forecasting, enabling multiple stakeholders to contribute to the workflows and share insights and feedback in real time.

 
Granular security

Don’t update 100+ spreadsheets. With Planning Analytics for Excel (PAX/PAfE) any adjustment will be applied in real-time to all views. Provides granular security capabilities, allowing for data access to be restricted to specific end users or user groups, ensuring that sensitive data is only accessible by authorized users, leading to increased trust and confidence in the data.

 
Prospective analytics

Can perform prospective analytics by using predictive modeling and forecasting techniques to analyze historical data, identify trends and patterns, and perform what-if scenario analysis and make predictions about future outcomes.