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.”
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.
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.
A business is only as healthy as its data. Organizations rely on data not just to accelerate and adapt, but increasingly, to perform the most basic of business operations, from hiring new personnel to launching and moving products.
Since we launched Talend Data Fabric in 2015, we’ve believed strongly that merely focusing on the mechanics of data — capturing, moving, and storing data — is not enough to become data-driven. Everyone in the organization must be able to easily find, trust, and use data. That’s what data health is all about, and that’s what Talend makes possible. Forrester looked at the 15 software providers that matter the most when it comes to Enterprise Data Fabric.
Making insights for your business isn’t easy. You're expected to always do more, do it faster, all without costing a small fortune. But how can you expect to do this when you’re using the wrong kind of analytics in the first place? Let’s explore. You may have heard of the 4 different types of analytics (the image below from Gartner helps visualize each type and how we use them) Think about how many post-mortem meetings you’ve had. Hindsight is important, of course!
Ever wondered what our most-used components are? Here at Talend, one of my “Shadow IT” jobs is to report on component usage. If you've ever used Talend Studio (either the open source Talend Open Studio or the commercial version) you most likely already know and love the component tMap.
If someone asked you what makes data “healthy”, what would you say? What IS data health? Healthy data just means data that is quality, accessible, trusted, and secure, right? Wrong. Let's dissect. Data health really has nothing to do with the data itself, if you think about it.
At Talend, we hear every day from our customers that healthier data makes it easier to increase revenue, reduce costs, and mitigate risk. But the journey to healthier data isn’t always easy. To support healthy data, organizations must unify data activities across users with different skill sets and levels of technical expertise through intelligence and self-service capabilities.
Marketing based on the next best action requires effective data handling for success. For Canadian insurer, Beneva, however, silos were standing squarely in the way. With over three million customers and CA$13 billion in assets, Beneva is one of Canada’s largest financial institutions. They had over 75 years of product and customer data, but that data was isolated in various systems, databases, and customer portals.
