Data standardization guide: Types, benefits, and process
When you pull data from various applications fitted across the enterprise, you expect to receive a consistent definition and format of the same information. But
When you pull data from various applications fitted across the enterprise, you expect to receive a consistent definition and format of the same information. But
Leaders often underestimate the time and effort required to enable business intelligence across an organization. They believe it to be as easy as pulling data
Data cleansing software Our data cleansing tool is feature-rich solution that helps you to eliminate inconsistent and invalid values, create and validate patterns, and achieve
Name and address data is critical to determining the accuracy of a company’s market and customers, and subsequently, their product positioning. Banks, healthcare providers and
A household consists of multiple separate accounts that belong to individuals who are related and are physically living together.
As we move through the industrial revolution of data, companies are beginning to realize the inadequacy of traditional data management tools in handling the complexities
A data cleansing tool is perhaps the most powerful and yet the most underestimated solution. Companies spend millions of dollars in procuring cloud solutions and
Data scrubbing, also commonly known as data cleaning is a process that refines your data by removing duplicates and fixing unstructured content. If you’ve been
States across the U.S. are ramping up their data efforts in deploying statewide longitudinal data systems (SLDS) that contain information on public school students. The
Being data-driven is an ambition for most companies today, however, data quality is an underlying challenge that hinders companies from following through with this ambition.
Operational efficiency remains a key challenge for enterprise-level businesses, especially in an age when customers have very little patience and the competition is high. It
It won’t be possible to give an overview of data management trends 2020 without conducting an analysis of the clients and the projects we worked