What does Time Series Data mean? This is a sequence of data points collected over a period of time, which helps professionals to track changes over time & spot trends. These changes include milliseconds, days, and years. With the help of time series data, professionals can
With more and more businesses starting to rely on data, it's become imperative that the quality of data is high. One way to assess the quality of your data is through data maturity assessment.
Data Processing: Steps, Types and More In part 1 of this blog post, we discussed data preprocessing in machine learning and how to do it. That post will help you understand that preprocessing is part of the larger data processing technique; and is one of the first steps f
While analyzing data, you must ensure that it has no errors. Mistakes give a false impression of the overall statistics of the data. To cut down errors, you need to prepare your data. Here's how.
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!
The advent of standalone digital channels today has made Web Analytics a more all-encompassing term than SEO Analytics which focuses solely on search engine optimization.
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
