If there is a single most delicate aspect to the balance of data sharing and compliance, it lies in the process of creating a single source of truth. This project involves many departments across the company: sales, customer support, and of course, IT. The more stakeholders are involved, the more project's complexity rises, as it contains different objectives from different parties.
Data governance was an exclusive set of skills and tools based on old-school rules until a few years ago. Today, that's changed. While people who manage data still need tools, rules, and protocols to control and secure data use and sharing, three major trends have transformed the data ecosystem. First, the explosion of data from many nontraditional sources (personal devices, sensors, social data, etc.) provided businesses with massive and unprecedented information to dig for insight.
GEODIS Distribution & Express, a subsidiary of GEODIS, is the leader in France for reliable last-mile delivery service (deliveries within 24 to 48 hours). In 2020 alone, its 115 agencies handled 100 million parcels and carried out 5,000 rounds per day in more than 35 countries across Europe. Nathalie Mandjee, Business Intelligence Manager at GEODIS Distribution & Express, discovered that this part of the company was growing into a profit center for the larger business.
Data volumes are increasing exponentially with no sign of slowing. Experts predict that by 2025, the global volume of data will reach 181 zettabytes — that’s more than four times pre-COVID levels in 2019. Data analysts at Centogene agree: “Every mouse click, keyboard button press, swipe or tap is used to shape business decisions. Everything is about data these days - data is information, and information is power.”
Innovate or die. It’s one of the few universal rules of business, and it’s one of the main reasons we continue to invest so heavily in data. Only through data can we get the key insights we need to innovate faster, smarter, better and keep ahead of the market. And yet, the vast majority of data initiatives are doomed to fail. Nearly nine out of 10 data science projects never make it to production.
We’re back with another Job of the Week! The title is admittedly growing on me... This week’s job takes us into the world of data scraping. First, let’s answer two common FAQ’s.
