segunda-feira, novembro 09, 2020

"analyzing pertinent data and helping inform employee decision-making"

Que dados são usados pela sua empresa para tomar decisões?

Que esforços são feitos para assegurar a qualidade desses dados?

Com que frequência são analisados?
"many leaders use past exceptions as justification to ignore the cost of failure. Reasons for this may vary — from a distrust of analytics to a desire to succeed with a bold, unconventional move — but it can prove costly in the long-run.
An illustration of this is professional gambling. Casinos thrive because many bettors believe they are smarter than the odds, and that they can beat the house with bold betting. These are the gamblers who drive the majority of casinos’ profits.
When relying on prior experience, consider that memory is inconsistent and fallible. We are more likely to recall extremely unexpected events, rather than more mundane occurrences, thanks to “flashbulb memory.”
In a business context, flashbulb memory causes people to remember exceptional results, rather than expected outcomes. For example, an executive may vividly remember taking a chance on an unconventional hire and watching that employee grow into a star performer. They are less likely to remember when they made a safer bet on an obviously qualified candidate who turned out to be exactly as competent as expected, or the risky hires that did not work out. The exception becomes the legend.
There’s a huge difference between understanding the importance of data and making it a priority in your organization. Every business needs experts responsible for analyzing pertinent data and helping inform employee decision-making.
Instinct still has a place in business, but it should not be the only driver of decision-making. By making data and BI a focal point of your team’s strategic thinking, and using it to craft smart organizational policies, leaders can safeguard their businesses against unnecessary failure, and ensure that the company makes more good decisions than bad."

Trechos retirados de "Are You Using Your Data, or Just Collecting It?"

Sem comentários: