DataOpsZone

A report from Deloitte shows that in recent years, the need for people analytics has reached high points of over 70 percent. More companies rank people analytics as a “high priority” in the organization. However, the same report lays down a frightening truth: Less than 10 percent of those organizations actually have usable data. So, are we not asking the right questions? Do we even know what to look for? This isn’t yet another post on complicated algorithms; after all, you’re not here to learn data science.

This post is about answering one question: how can data analytics improve the measurement of employees’ performance? It’s not going to be easy— assessing your human capital is always easier said than done—but I’ve got your back.

But before we dig any further, it’s important to make sure that we’re on the right page. There are a lot of buzz words out there, but data-driven management is by no means a new concept. Since the concept of “the cloud” came up, companies started moving their workforce to it. Big item metrics like acquisition (e.g. cost per filling, training ROI) led companies to also ask questions about revenue, retention, and, more importantly, the question we’re here to talk about: how to track performance.

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For any company or a single user, data is very important. In the wrong hands, it can cause chaos. With the growing cybersecurity threat, you need to keep your data safe, especially when your customers’ data is there as well.

But how will you know if your company’s data security is perfect to deal with hackers or prevent any breach? A data security audit is the answer.

Building on that, in this post we’re going to discuss what a data security audit is. We’ll also discuss why your company needs a data security audit. Finally, we’ll get to know some best practices before you carry out a data security audit at your company. So, let’s take a deep dive.

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What’s the most valuable resource in the world? According to The Economist, it’s data. If you haven’t noticed, data is all around you. Major corporations are investing in tools that help them capture and process data and then classify what they’ve harvested. And with the rising importance of data comes a need to understand the steps in the data management process.

For example, when you browse a typical website, the site might be capturing your behavior. Which links do you click? Where’s your mouse located on the screen? All this data is of great importance for optimizing a website and leading visitors to key pages, such as an online store.

In short, data can help your organization increase profits and reduce costs. Want to learn more about data operations? Learn the basics of DataOps here.

This post will explain why data management matters and which steps you’ll need to take to implement a successful data management process. Let’s start by exploring the importance of data management.

Continue reading “What Are the Steps in the Data Management Process? 10 to Know”