Date: Tuesday, 21 June 2022
Time: 11:15 AM to 12:00 PM EDT
Every day in large organizations, ALM data is used to make forecasts and key decisions about budgeting, staffing, and risk management. Organizations increasingly rely on ALM tools to generate alerts to proactively warn about variances, risks, and shortfalls. Unfortunately, due to late, inaccurate, and incomplete data entry, ALM tools often end up emitting a large volume of false positives, while the real risks remain hidden. We hope that one day, all ALM tools will include a smart (contextual) continuous validation capability to reduce the incidences of dirty data. In the meantime, we propose a solution to this critical problem.