Geospatial data can enhance a business' data assets and provide more valuable insights. Incorporating geographic information into performance analysis can bring to light new insights.
How To Detect Outliers In Data Wrangling: Examples and Use Cases Outlier Detection: Detection of outliers is a very important part of the data wrangling process. Outliers are those values of an attribute which lie far off from the majority values present for that attribute
A Net Promoter Score is a key metric to measure what your customers think of your brand. There are many ways to improve this score.
Propensity modeling is a statistical technique used to predict future events. Machine learning allows companies to build robust propensity models and make accurate forecasts. In marketing, for example, propensity models are used to predict customer behavior.
Analyzing data graphs can help you discover hidden patterns and relationships. Making better business decisions and improving performance are possible when your data is interconnected.
To run a profitable business, you need to know your customers. For which, you need to first segment them. Segmentation can be done in a number of ways, but one of the most effective one is RFM analysis. RFM stands for the Recency, Frequency, and Monetary value.
Data is used to teach computers how to learn through machine learning, which is a subset of artificial intelligence. In automated machine learning, the entire process of applying machine learning to real-world problems is automated.