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Address standardization guide: What, why, and how?
Inaccurate and incomplete address data can cause your mail deliveries to be returned. In fact, the US postal service handled 6.5 billion pieces of UAA
What is data integrity and how can you maintain it?
While surveying 2,190 global senior executives, only 35% claimed that they trust their organization’s data and analytics. As data usage surges across various business functions,
Guide to data survivorship: How to build the golden record?
92% of organizations claim that their data sources are full of duplicate records. To make things worse, valuable information is present in every duplicate that
The definitive guide to data matching
Duplicate records in a company’s datasets cause serious roadblocks to business success. 92% of organizations claim to suffer from the nightmare of data duplication. Nowadays,
How to improve data quality: Define, design, and deliver
Today, data is no doubt one of the biggest assets of an organization. It is used everywhere – from a company’s day-to-day operations to its
Guide to pattern matching: What it means and how to do it?
Finding patterns is easy in any kind of data-rich environment; that’s what mediocre gamblers do. The key is in determining whether the patterns represent signal
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
Data integration explained: Definition, types, process, and tools
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
How poor data quality impacts a recession survival plan
“You get recessions, you have stock market declines. If you don’t understand that’s going to happen, then you’re not ready. You won’t do well in