Best Practices for Effective Data Preparation in the Age of Big Data
About 68% of enterprise data goes unleveraged. Why? Because 90% of data is unstructured, making it difficult – if not impossible – to extract actionable
About 68% of enterprise data goes unleveraged. Why? Because 90% of data is unstructured, making it difficult – if not impossible – to extract actionable
In 2024, National Public Data, a prominent background check and fraud prevention service, made headlines for all the wrong reasons. Over 2.7 billion records containing
In a survey conducted by Validity, 44% of the respondents revealed that duplicate data significantly impacted their ability to fully leverage their CRM systems. Now,
Data matching helps ensure that disparate data sources are accurately aligned, cleansed, and ready for use. And that’s where an effective data catalog becomes essential
Data cleaning and matching are critical processes for maintaining data integrity and deriving actionable insights from large datasets. This review dives into the advanced techniques
Poor data standardization is a hidden profit killer. When customer names, products, or sales figures appear in different formats across systems (and often even within
With 89% of employees reporting sifting through up to six data sources daily to find relevant information, data sprawl emerges as a major culprit undermining
You invested in big data technologies thinking it will help you understand your audience better. You switched to smart CRMs, hired data scientists to help
Did you know poor data quality can drain as much as 25-31% of a company’s revenue? While there are multiple factors that can affect 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
Imagine a doctor trying to retrieve a patient’s medical history, but instead of one accurate record, they find three profiles – one with an outdated