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最新個案
- 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
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- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
Minding the Analytics Gap
內容大綱
business value from analytics is not data management or complex modeling skills. Instead, the number one barrier mentioned by survey respondents involved translating analytics into business actions -in other words, making business decisions based on the results, not producing the results themselves. With more access to useful data, companies are increasingly using sophisticated analytical methods. That, the authors argue, means there's often a gap between an organization's capacity to produce analytical results and its ability to apply them effectively to business issues. Much can be done to make analytics more consumable for managers. At the individual level, data analysts can learn more about the business; in fact, about a third (34%) of the survey respondents reported that their organizations train analytics professionals to understand business issues. Organizations can also systemically improve infrastructure and processes; improved data quality, for example,can make it easier to turn data into competitive advantage. Managers can also take steps to become savvier at understanding analytical results. In fact, managers and executives are working to become more knowledgeable about data and analytics: Many of the survey respondents reported that their organizations develop analytical skills through on-the-job (58%) or formal (23%) training. Almost half the respondents (49%) reported that their organizations train managers to make better use of analytics. Beyond training, other known steps include: identifying trustworthy analytics professionals within the organization, requiring straightforward explanations and asking detailed questions. However, the authors'research indicates that, despite their efforts, managers continue to find it difficult to keep pace with their organization's analysts for two reasons: burgeoning analytics sophistication and competing demands for managerial attention.