6 strategy insights from MIT Sloan Management Review
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Ideas for transforming digital capabilities and spearheading innovation initiatives while preserving corporate culture amid COVID-19.
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Ideas for transforming digital capabilities and spearheading innovation initiatives while preserving corporate culture amid COVID-19.
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COVID-19 is upending data analytics practices, sidelining predictive analytics, and driving firms to external data and other economic indicators.
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The sudden shift to respond to the COVID-19 pandemic dominated management discussion in 2020.
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Sharing data within a company is vital to creating value. Curated content, designated channels, and repeatable controls are the ways to achieve "data sharing 2.0."
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Natural language processing analyzes textual data in milliseconds. Here’s how financial institutions gain competitive advantage with machine learning.
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Data science is exploding, but women hold just a quarter of jobs. Four women discuss career paths, mentorship, and the benefits of diverse views.
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To foster a data-centric culture, adopt the right technology, improve data literacy, and don’t be afraid to disrupt the status quo.
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Most business analytics projects fall short of expectations. Follow this expert advice to ensure your data practice truly improves business decision-making.
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Shaheen Parks links business issues with technical expertise. When it comes to leading a team, she matches openness with understanding.
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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.