Challenges and Best Practices of Data Cleansing
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.
Home » Data Quality
Data Quality
Five Steps to Data Profiling for Successful Discovery
Data profiling focuses on examining and analyzing data, followed by creating a useful summary of that data.
Data cleansing for reliable analytics and business intelligence
According to Forbes, data scientists spend about 80% of their time on data collection, cleansing, and preparation, while only 20% of it is left for… Read More »Data cleansing for reliable analytics and business intelligence
What is a Data Quality Framework and How to Implement it?
30-50% of businesses experience gaps between their data expectations and reality. They have the data they need, but due to the presence of intolerable defects,… Read More »What is a Data Quality Framework and How to Implement it?
A Single Source of Truth: The 360 Customer View
An average consumer uses various marketing channels while interacting with a brand. The numbers were calculated in Upland BlueVenn’s latest Digital Divide Report. They examined… Read More »A Single Source of Truth: The 360 Customer View
Data Observability Vs Data Quality: What makes them different?
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?
The Noise in Modern Data Quality
The need for high-quality, trustworthy data in our world will never go away. With the growth in data, the need arises more than ever before.… Read More »The Noise in Modern Data Quality
Do regulatory data projects really need design-time data lineage? Probably not.
Your regulatory data project likely has no use case for design-time data lineage. tl/dr Mapping Data Lineage at design time, for its own end, has… Read More »Do regulatory data projects really need design-time data lineage? Probably not.
Data quality: What and why is it important?
With the internet producing quintillions of readily available information per day, you could be forgiven to think that data is losing its value. Apparently, data… Read More »Data quality: What and why is it important?
How AI and ML are transforming data quality management?
Introduction In recent years technology has become prominent, both at work and at home. Machine learning (ML) and Artificial Intelligence (AI) are evolving quickly today.… Read More »How AI and ML are transforming data quality management?