ETL is an integral part of data warehousing. In addition to being complex, it can also be time-consuming. In recent years, reverse ETL has grown in popularity because it is simpler and faster to complete than traditional ETL.
Are you struggling with identity resolution in your business? Learn about the common mistakes that marketers make and how to avoid them!
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.