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The Critical Importance of Data Quality Over Mere Data Collection

Strategy Driven

High-quality data is indispensable for informed decision-making, operational efficiency, customer satisfaction, regulatory compliance, and innovation. Operational Efficiency Operational efficiency is another critical area where data quality plays a pivotal role.

Quality 95
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Carey Pellock on HR Leadership for A Better World

HR Digest

The pandemic gave us the opportunity to really test our agility and innovation, and I am proud to say we exceeded expectations, ” she says. “ Our values informed our guiding principles, developed by our CEO and implemented by our Executive Committee, for operating through COVID-19.

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How Companies Say They’re Using Big Data

Harvard Business Review

After the initial “quick wins” are wrung from cost-reductions, executives are turning their attention to new ways to innovate using data. The next phase will be to use data for new products and other innovations. Companies that fail to adapt do so at their own competitive and market risk.

Company 12
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Benefits of Debriefing

Strategy Driven

Organizations that fail to continuously revise assumptions about their operating environment (i.e. market) risk obsolescence or irrelevance. Fighter Pilots and Special Operations teams have discovered and used a secret to continuous improvement – a tool every enterprise can benefit from. But how is this done?

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The Status Quo Is Risky, Too

Harvard Business Review

Then develop a risk profile for your current strategy using the same framework you’re using to assess your new strategic options. If you have assessed the risk of your strategic options in terms of brand risk, operational risk, market risk, and so on, do the same for the current strategy.

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Why Some of the Most Groundbreaking Technologies Are a Bad Fit for the Silicon Valley Funding Model

Harvard Business Review

The myth of Silicon Valley is that venture-funded entrepreneurship is a generalizable model that can be applied to every problem, when in actuality it is a model that was built to commercialize mature technologies for certain markets. No innovation strategy fits every problem , so we need to keep expanding the toolbox.