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SmartData Collective > Big Data > Data Warehousing > Steps to Better Predicting the Future
Business IntelligenceData Warehousing

Steps to Better Predicting the Future

paulbarsch
paulbarsch
1 Min Read
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Executives of all stripes are often tasked with forecasting—sales for next quarter or year, inventory levels to meet demand, or marketing budget to meet corporate goals.

However, the process of forecasting is often rife with bias, data quality issues, mathematical error, and/or poor planning assumptions. While no forecasting technique is perfect, predictions can be drastically improved through a simple technique: pulling your anchor. Read more


Executives of all stripes are often tasked with forecasting—sales for next quarter or year, inventory levels to meet demand, or marketing budget to meet corporate goals.

However, the process of forecasting is often rife with bias, data quality issues, mathematical error, and/or poor planning assumptions. While no forecasting technique is perfect, predictions can be drastically improved through a simple technique: pulling your anchor. Read more
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