Trustable data can be defined as data that comes from specific and trusted sources and is used according to its intended use. It is delivered in the appropriate format and time frames for specific users.
With the world’s data multiplying in leaps and bounds, every organization is trying to make better business decisions in marketing, product development, and finance using insights from the data they hold. The value of businesses today can be measured by the quality of the data they hold.
Before embarking on the data profiling exercise, an analyst must prepare by going through a data profiling analysis.
Data accuracy is the biggest challenge many businesses encounter in their quest to cleanse data. Having accurate data is the foundation of the usefulness of data in all its stages of use.
Data profiling focuses on examining and analyzing data, followed by creating a useful summary of that data.
Defining Data Observabilityand Data Quality As companies gather seemingly endless data streams from an increasing number of sources, they start to amass an ecosystem of… Read More »Data Observability Vs Data Quality: What makes them different?￼
On Wednesday, July 13th at 11 am EST, please join DQLabs for an exclusive virtual event“Defining Data Relevance: The rise of the Modern Data Stack… Read More »Webinar Series -The rise of the Modern DataStack and the Modern Data Quality Platform
Introduction We are in a time when information is the core element of business success for companies in almost any industry. As technologies emerge and… Read More »Why You Need an Augmented Data Integration Tool