Endpoint Security Usb

Data analytics is the science of extracting patterns, trends, and actionable information from large sets of data. While often used interchangeably with the term “business intelligence,” it’s useful to distinguish the terms. Think of business intelligence as the ways in which companies use data to improve their management and operations. Data analytics involves improving your ways of making sense of that data before acting on it; further still, you can slice and dice the data to extract insights that allow you to leverage this data to give you and your organization a competitive advantage. ————————————————————————————————————————————– An Infographic Comparing Data Science and Analytics Data is increasingly the new currency of enterprise—which is why companies are scrambling to tap into its potential to make better decisions. In order to do it, they need the right experts who know how to get at the big data stash and interpret it in meaningful ways. A data scientist and a businessanalyst are both such professionals, but they’re definitely not one in the same—and use different approaches when it comes to decision-making. Since the two titles are often used interchangeably, , created this infographic to help clarify the difference. ————————————————————————————————————————————– Breach analytics: The next billion-dollar investment opportunity The security market is clearly red hot, as evidenced by the continued investment into — and related valuation of — numerous startups in the field. However, while rapidly maturing segments, including the endpoint detection and response (EDR) space, have garnered most of the headlines, the more nascent area of breach analytics may harbor even greater potential. Recent news that endpoint security darling Tanium closed out another $150 million in funding led some investors to value the company at $3.5 billion and defensibly label it as “the world’s hottest cybersecurity startup.”