Category: Data Integration

Organizations need to leverage data coming in from various data sources, ranging from customer feedback forms to different digital marketing channels. With data pouring in from multiple channels, such as different flat file systems and web applications, most businesses don’t…

Customer intelligence is one of the most prominent areas that organizations are now focusing on. That’s unsurprising because recent data from Forbes’ report titled Proving the Value of CX shows that customer experience alone influences about 74% of consumers to…

Improving data quality is extremely important for organizations of all sizes. A lack of clean, validated, high-quality data can result in easily avoidable errors that may, at times, prove to be costly for the organization. Recent data from Gartner shows…

Maneuvering your way through today’s uncertain business landscape can be a challenge. After all, modern organizations need to keep up with changing data governance regulations, integrate data coming in from multiple streams while finding ways to clean and validate this…

ETL (extract, transform, load) has been the traditional approach for data analytics and warehousing for the last couple of decades. However, today we also have the option of ELT (extract, load, transform) an alternative approach to data processing. Ever since…