Key challenges in the data preparation process
Data preparation is a process of manipulating and organizing raw data before analysis. It is typically an iterative process of manipulating raw, unstructured, and...
Data preparation steps – Why do they matter?
Raw data, which are accumulated from various sources in the form of logs, sensor output, government data, medical research data, climate data, geospatial data,...
Top 7 data preparation tools
Data preparation is expensive and time-consuming, especially without automated and mature data preparation tools. Traditionally, data scientists write specific preparation scripts to accomplish project-specific...
The cost and business impact of poor data quality
The development of technology during the last decades has enabled organizations to collect and store enormous amounts of data. However, as the data volumes...
Four benefits of Retail Analytics and Business Intelligence (BI)
Did you know that the business intelligence (BI) industry is now valued at about 30.9 billion? It means that the retail analytics and business...
How to deal with missing data?
Missing data is a common occurrence in almost all real datasets. When some information about variables is missing, we call it incomplete data. Analyses...
10 dimensions of data quality explained
Data is the new oil of the digital economy. It is crucial to the everyday operations of all enterprises. However, data can often be...
Cleaning data in Spreadsheets: Risks and tips
The data cleaning process can be done using different techniques and software. Using spreadsheets such as Excel is one of them.
Spreadsheet tools are quite...
Top 5 benefits of effective data cleaning
Organizations rely on data for various reasons, but only a small percentage of them actively address data quality. Whether it's ensuring the accuracy of...
Making the most of business data: Practical tips for tech-shy leaders
In the business world, data is paramount for business leaders and managers to make decisions based upon recorded facts, statistics, and trends for the...
4 factors to consider when choosing an Analytics tool
Advances in technology have resulted in the glut of information. Real-time, accessible, readily available—all of these are used to describe data today.
But no matter...
Dimensions (attributes) of data quality and their examples
Data is the primary resource for all organizations to gain better insight into their business and market and make operational and tactical decisions faster...
