Data Driven Decisions Quotes
Quotes tagged as "data-driven-decisions"
Showing 1-16 of 16

“In this new age where data is so abundant, our task as a civilization now is effective beneficial utilization. The challenge now is doing good things with that data - things that make our lives and the lives of future generations of people more fulfilling and more joyful and more prosperous.”
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“The challenge of future artificial intelligence is to convert the modern data driven society to value driven society.”
― Compassionate Artificial Intelligence
― Compassionate Artificial Intelligence

“Companies should embrace data-driven decision-making because it enables them to make informed decisions based on concrete evidence rather than speculation, leading to more efficient operations, better strategies, and improved competitiveness in today's data-rich business environment.”
― Capital Acquisition: Small Business Considerations for How to Get Financing
― Capital Acquisition: Small Business Considerations for How to Get Financing

“Embracing data-driven decisions allows organizations to uncover valuable insights, adapt to changing market conditions, and stay ahead of the beat, ultimately increasing their chances of success and growth.”
― Capital Acquisition: Small Business Considerations for How to Get Financing
― Capital Acquisition: Small Business Considerations for How to Get Financing

“The key challenge of future artificial intelligence is to transform modern data-driven intelligence into value-driven intelligence.”
― Compassionate Artificial Superintelligence AI 5.0
― Compassionate Artificial Superintelligence AI 5.0

“Data Driven Decision making is a cultural intervention which requires habit change from the leaders to the frontline employees.”
― How Leaders Decide: Tackling Biases and Risks in Decision Making
― How Leaders Decide: Tackling Biases and Risks in Decision Making

“If this were some kind of entertainment, this would be roughly the point where Rupert said, "We don't have any more time, Professor, you must complete your research as soon as possible," but there was no great sense of urgency, no sense that it even mattered. It was just something that Rudi was interested in, for his own reasons. They could be working on this for years and still not understand it, and it wouldn't make a blind bit of difference.
He said, "Look, Professor, a lot of effort went into getting you that information. We'd be grateful if you could make some kind of sense of it reasonably soon.
"There is one thing I can tell you right now," Lev said..."Whoever is running this thing, they're really interested in railways.”
― Europe in Winter
He said, "Look, Professor, a lot of effort went into getting you that information. We'd be grateful if you could make some kind of sense of it reasonably soon.
"There is one thing I can tell you right now," Lev said..."Whoever is running this thing, they're really interested in railways.”
― Europe in Winter

“Data Science is manipulating data, looking for patterns, and coming up with solutions to drive revenue, lower expenses, and thereby increase overall business profitability.”
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“Stories are powerful and memorable. That is why I have told so many in this book. But an individual anecdote can only serve as an illustration. To really convince yourself, much less others, we need to change the way we do things: we need data, and lots of it. [...] People become overconfident because they never bother to document their past track record of wrong predictions, and then they make things worse by falling victim to the dreaded confirmation bias - they only look for evidence that confirms their preconceived hypotheses. The only protection against overconfidence is to systematically collect data, especially data that can prove you wrong. [...] "If you don't write it down, it doesn't exist". In addition, most organizations have an urgent need to learn how to learn, and then commit to this learning in order to accumulate knowledge over time. At the very least this means trying new things and keeping track of what happens. Even better would be to run actual experiments. [...] The ideal organizational environment encourages everyone to observe, collect data, and speak up.”
― Misbehaving: The Making of Behavioral Economics
― Misbehaving: The Making of Behavioral Economics
“Cotton is a brilliant, original, 'out of the box' thinker with command of his subject. Cotton's Microprediction is necessary reading for those whose success depends upon data-driven predictions.”
― Handbook on Systemic Risk
― Handbook on Systemic Risk
“Once, a leader convinced others to act in the absence of information. Today, there’s simply too much information available. We don’t need to guess—we need to know where to focus. We need a disciplined approach to growth that identifies, quantifies, and overcomes risk every step of the way. Today’s leader doesn’t have all the answers. Instead, today’s leader knows what questions to ask.
Go forth and ask good questions.”
― Lean Analytics: Use Data to Build a Better Startup Faster
Go forth and ask good questions.”
― Lean Analytics: Use Data to Build a Better Startup Faster

“DATA means Determined Action of Transformative Awareness.”
― Rowdy Scientist: Handbook of Humanitarian Science
― Rowdy Scientist: Handbook of Humanitarian Science
“In my opinion, harnessing data analytics in negotiation empowers the formulation of incisive, strategically sound decisions through the meticulous examination of market trajectories, historical precedents, and competitive intelligence. It aids in discerning pivotal leverage points, refining propositions, and attenuating risks via predictive modeling and scenario analysis. For instance, in a critical procurement negotiation, analyzing supplier pricing patterns and industry benchmarks allows you to construct a persuasive, data-informed counterproposal that not only aligns with fiscal objectives but also resonates with prevailing market conditions, thereby fortifying your negotiating stance.”
― PROJECT MONITORING AND EVALUATION- A PRIMER: Every Student's Handbook on Project M & E
― PROJECT MONITORING AND EVALUATION- A PRIMER: Every Student's Handbook on Project M & E
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