Quality is bound to be at risk when anything is rushed. It is the basic trade off for the need of speed. It’s not uncommon where some things need to be rushed for whatever reason so sometimes, “negotiating a reasonable timeline” is just not an option. In this case, focus on getting the best quality possible based on dataset sensitivity. For an example, some datasets are more important in weightage than others. Put the focus of quality on those that have a higher weightage. Be extra careful there. Then, only if you have time to spare, do the same for the others. At the end of day, everything is about prioritisation. Make expectations clear too.

De mon point de vue, en analyse marketing, la qualité est indispensable. Donnée fiable, vérifiée, contrôlée. Sinon on risque de prendre des décisions sur de la data non valide. Par contre, pour aller vite et prendre une longueur d'avance, je délègue beaucoup. Les étudiants sont des excellents compilateurs de marché et de donnée. J'ai la chance d'enseigner dans des écoles marketing, donc j'ai des étudiants à portée de main pour m'aider. Utile et efficace !

The trick? Lock down accuracy first. Yup. Once you can always get it right, learn to get it right faster. Be accurate then be quick about it. One must come before the other and getting it right will more often than not, come before getting it done faster.

Quantity beats quality! And, quantity drives you to quality, then, aim in quantity always and you’ll reach quality, eventually, and maintain quantity. Make sure that whenever quantity you set you can maintain. Frequency, quantity, quality, repeat.