Leading companies use talent analytics to support a data-driven decision-making culture. You can compare multiple dimensions of talent data and organizational data to see the impact that changes have on the rest of the company. Understand how to collect meaningful information, drill down into critical data, and summarize findings to support your next talent decisions.
Tim Gardner, Author of the blog the HR Introvert and Director of Organizational Effectiveness at Kimberly Clark shares what big data can and cannot do for the firm. Gardner breaks down some of the big data basics explaining what makes ... Read more
How is it that managers facing high-stakes decisions, despite all the resources and knowledge available to them, often make them so poorly? In large part, it’s because their whole perspective on decision-making is wrong. Managers ... Read more
Run a quick search on Google and one will find 1.6 billion entries on big data. A number that large can be hard to make sense of and is emblematic of both the allure and pitfalls of what big data can offer the business. There are some ... Read more
Like most functions, organizations and people, the HR Department is buried in new somewhat relevant data. The organization’s management will waste little time before they mandate the discovery of uses for this external data. Recruiting, ... Read more
Being surprised is rarely a good thing in business. One of the reasons Big Data has quickly become the darling of business is because its insights help diminish the likelihood of surprises. The game-changing nature of Big Data analysis ... Read more
As a leader in talent management, you have undoubtedly already noticed over the last decade that there has been continuous volatility and change in the business, political, social, technological, and even the physical environment. Well, this ... Read more
The era of Big Data is upon us. From retailers to shipping companies to marketing agencies, more businesses are using Big Data to discover patterns and trends. Many companies even have specialized teams of people who work on Big Data ... Read more