Driver Based Forecasting: How to Build Reliable, Data-Driven Forecasts

Many organizations try to implement driver based forecasting but struggle to deliver accurate or timely forecasts. This happens not because the method is flawed, but because the underlying systems, data structure, and planning models cannot support continuous updates or cross-functional alignment. Teams often rely on spreadsheets, manual drivers, and disconnected EPM tools that make it difficult to apply consistent logic across departments.

End Data Disparity | Looking Beyond Technology To Maximize Data's Impact

In this episode of the End Data Disparity video series, host Ryan Green sits down with Jennifer Wong, Executive Director of the Partnership for Access, Collaboration and Trust Collective. During the conversation, Jennifer makes the point that as important as good data is, data alone doesn't create impact. That comes from the systems, the governance, and the business operations that surround the data, and the empathy of the people behind the data. Data, she notes, is only powerful when it is connected.

Qlik Analytics Cloud and Snowflake Cortex Agents Integration

Integrating Qlik Analytics with Snowflake Cortex Agents for real-time augmented analysis: Extends natural-language capability beyond dashboards Integrates semantic and business logic Understands and applies Qlik filters dynamically Handles nuanced, domain-specific questions Enables ad-hoc and exploratory insights by drilling down to details Supports complex, multi-step analytics in a single application Drives faster decision-making Complements Qlik associative engine capabilities and visualizations.

The True Value of Your Time: Why Smarter Reporting Matters

Are you tired of exporting data from your ERP, reformatting it in Excel, then discovering that you need to start over because someone entered a last-minute transaction? For finance teams everywhere, this frustrating cycle eats up hours that could be spent on higher-value work. Manual report preparation, week after week and month after month, is draining. By the time you’ve pulled data from multiple sources and made it presentable, it’s already outdated.