article thumbnail

Brands Overwhelmed by Data are Fighting Back

Netbasequid

Applying Predictive Analytics. Predicting shifts in the market is one of the most important things brands are concerned with today. Through use case examples, data scientists demonstrate the great power lying within their data pools and how they can access it for better business performance.

SCIP 98
article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

Datapine Blog

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. Industries harness predictive analytics in different ways.

article thumbnail

Housing Price Prediction using Python on Web Scraped Property Data

Data Hut

Predicting housing prices using data analysis tools like Python has become popular with real estate investors. The concept is simple — use historical data from the past, apply predictive analytics models such as Machine Learning, and predict future housing prices.

Matrix 52