Global Finance Analytics Training

Global Finance Analytics Training

Global Finance Analytics Training

Verizon Inc

Upskilling 250 finance professionals in advanced data analytics with KNIME.

The Challenge

Verizon wanted to get more from KNIME. They needed bespoke training for approximately 250 finance and accounting professionals—training that would give people practical skills in data handling, analytics automation and applied machine learning that they could use straight away in their day-to-day work.

Our Approach

We designed and delivered a custom three-day hands-on programme, co-developed with KNIME and built specifically for finance and accounting professionals. The curriculum covered practical data modelling and ETL, analytics pipelines, month-end reconciliation exercises using realistic synthetic data, SOX-aware controls and applied machine learning use cases. Sessions used breakout rooms for peer learning and troubleshooting. We provided reusable KNIME workflows and templates throughout, so people could take working solutions away and adapt them. All recordings and materials were hosted for easy access after the course. We ran the full programme three times to train cohorts across the organisation.

The Results

Approximately 250 finance and accounting professionals trained across three separate three-day sessions. We created standardised, repeatable workflows that teams could adapt and apply to their own reporting processes. Course feedback was strong on the practical, finance-focused exercises and the breakout format—participants could apply what they learned immediately. Recordings and materials supported continued learning and skill consolidation after the sessions ended.

What Made This Work

Custom curriculum built for finance and accounting professionals, hands-on exercises with realistic data, reusable workflows that people could take away and adapt, collaborative delivery with KNIME, practical SOX coverage, and strong logistics support across multiple cohorts. The focus throughout was on skills that translated directly into daily work—not theory.

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