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- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
You, By the Numbers
內容大綱
The process of becoming self-aware has traditionally been based on intuition and anecdotal feedback. But that reality is changing, thanks to the growing discipline of auto-analytics--the practice of voluntarily collecting and analyzing data about oneself in order to improve. H. James Wilson, a senior researcher at Babson Executive Education, introduces some of the auto-analytics tools that are increasingly being used by employees at all levels and across many industries. Citing tools in three domains--the physical self, the thinking self, and the emotional self--he describes the practical results that specific people have achieved after taking power in their own hands to gather and interpret data about the nuances of how they work and feel every day. The best outcomes are realized when, Wilson argues, the enterprise of self-measurement is undertaken with a plan in mind. It's still the early days for auto-analytics, but two trends are emerging: The tools are becoming more precise, and the analysis they offer is becoming more holistic. Applied the right way, auto-analytics is beginning to provide the hard evidence that people need and want to make their work and personal lives more productive and satisfying.