Operations | Monitoring | ITSM | DevOps | Cloud

Read any guide on successful entrepreneurship or effective sales strategies, and you'll likely encounter a common, underlying theme: it's all about building relationships. Regardless of what your business sells or the clients you're trying to reach, relationships form the bedrock of growth. And to build those relationships, businesses must consistently connect with potential customers - a task that becomes far more challenging when contact data is inaccurate or unreliable. This is where the power of verified contact data enters the scene.

Since the data lake concept emerged more than a decade ago, data lakes have been pitched as the solution to many of the woes surrounding traditional data management solutions, like databases and data warehouses. Data lakes, we have been told, are more scalable, better able to accommodate widely varying types of data, cheaper to build and so on. Much of that is true, at least theoretically. In reality, the way many organizations go about building data lakes leads to a variety of problems that undercut the value their data lakes are supposed to deliver.

In modern industry, safety is pretty much a founding principle of good business, and without it, your company would not exist for very long, whether due to reputational damage or legal action. Keeping everyone safe is vital, and the good news for you is that tech has made it easier than ever to achieve.