In 2020, corporate investment in data projects is expected to exceed 203 billion dollars worldwide. But at a time when many are claiming to be Data Driven Companies, lots of data projects end in failure. Yet most of these failures are unnecessary and due to well-known causes! Focus on the recurrent pitfalls to avoid.
Since the emergence of Taylorism and of the specialized worker executing one specific task, working methods never stopped to evolve. Nowadays, in the era of self-management, we make sure that every employee has been given the keys to participate in the decision making process and to perform his mission.
Agility has been the subject of numerous theories, publications and conferences for several years. The concept was historically created during a gathering of software development experts in 2001. They explain the ins and outs of what we know as « agile » through a founding document called the “agile manifesto“, which encompasses 4 values and 12 principles. At the time, it was mainly a solution proposed by developers to manufacture a software in the most efficient way while guaranteeing its adequacy with the needs of the customer. 17 years later, things have changed, and the agile manifesto provides only part of the answers to bring out a new product or service with what specialists call a good time-to-market and a good product market fit in the digital age.
TalkingData, China’s largest independent big data service platform, covers over 70% of active mobile devices nationwide. Their current approach to prevent click fraud for app developers is to measure the journey of a user’s click across their portfolio, and flag IP addresses who produce lots of clicks, but never end up installing apps. While successful, they want to always be one step ahead of fraudsters and have turned to the Kaggle community for help in further developing their solution.