Executives need accurate, relevant information presented simply, quickly and clearly. Here's how to provide it.
Many people make it through statistics class without a clear understanding of the common process used for all statistical hypothesis tests. In fact, it's not unusual to complete the class without realizing there is a common process. That's not the students' fault -- most professors don't emphasize it.
Executives need accurate, relevant information that is presented simply, quickly and clearly. They need answers to their questions, and they need to have confidence, not just in the data's message, but also in the messenger.
What happens to analysts who don't know the process and don't use it to clarify their thinking? Most often, executives just don't find those analysts persuasive. Their presentations sound too esoteric, and their answers to questions do not satisfy.
Here's a confession: I love data analysts who are full of hot air. It is so easy to disarm these windbags. All I have to do is smile sweetly, look them straight in the eye, and ask a little question -- What were your assumptions here? -- or make a simple point -- The method you've used was designed for ratio measures, but this metric is ordinal -- and it's all over. Everybody in the room understands. Don't let that happen to you. The five-step process common to every statistical hypothesis test will make your work bulletproof.
How Enterprises Are Attacking the IT Security EnterpriseTo learn more about what organizations are doing to tackle attacks and threats we surveyed a group of 300 IT and infosec professionals to find out what their biggest IT security challenges are and what they're doing to defend against today's threats. Download the report to see what they're saying.
IT Strategies to Conquer the CloudChances are your organization is adopting cloud computing in one way or another -- or in multiple ways. Understanding the skills you need and how cloud affects IT operations and networking will help you adapt.