Resources
Blogs
Batch Processing versus Real-Time Data Quality Validation
Research shows that while 24% of data teams use tools to find data quality issues, most of their problems still go unresolved. This means that
The Impact of Poor Data Quality: Risks, Challenges, and Solutions
Poor data quality can have devastating risks on your business. Most organizational workers realize the impact of of poor data quality, but it is hard
Designing a Data Quality Management Framework
Data is the lifeblood of decision-making in the business world today. Yet as revealed by the State of Data Quality Report 2022, less than half
5 data quality processes to know before designing a DQM framework
Most companies trying to become data-driven cite poor data quality as one of the top 5 challenges. Invesp published a report where they discovered that
The definitive buyer’s guide to data quality tools
A recent survey reported that the top KPI for data teams in 2021 was data quality and reliability. But the majority of the respondents said
Building a Data Quality Team: Roles and Responsibilities to Consider
Despite organizations claiming their data strategies are effective, only 56% report achieving their data goals in 2023, and a staggering 66% of enterprise data remains
What is the Difference between Data Quality and Master Data Management?
We have delivered data quality solutions to Fortune 500 companies for over a decade. We often come across clients who are confused about how to
A Guide to Master Data Management: What, Why, Who, and How
With hundreds of data sources and an average of 259 distinct software applications and systems, organizations are drowning in information and tools. This, coupled with
Data Quality Dimensions – 10 Metrics You Should Be Measuring
When Unity Technologies’ Audience Pinpoint tool ingested flawed data in early 2022, it wasn’t just a technical hiccup – it was a $110 million disaster.
Data quality measurement: when should you worry?
In March 2017, Rescue 116, a CHC Ireland helicopter, crashed into a 282ft obstacle – the Blackrock Island off the County Mayo coast. Investigations revealed that the
What is Data Profiling: Scope, Techniques, and Challenges
It’s no secret that data is the currency that drives business growth and innovation today. Yet, despite billions spent on data management initiatives, more than
Why Data Duplicates Exist and How to Get Rid of Them?
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 Merging: Process, Challenges, and Best Practices for Combining Data from Multiple Sources
An average enterprise uses more than one thousand applications. However, only 29% of them are integrated. This makes it difficult for businesses to extract valuable
Using Record Linkage to Resolve Patient Matching Errors
“Accurate identification of patients is one of the most difficult operational issues during a public health emergency, and the nationwide response to the pandemic, including
Why a CASS Certified Address Normalization Solution is Critical for Reducing UAA Mails
Imagine this for a moment. You’ve spent tireless days crafting a direct mail campaign for the launch of your latest product or service offering to key prospects; you finalized the copy, approved
Your Complete Guide to a Successful Data Migration
If you’re reading this guide, chances are you’ve already decided to initiate a data migration project and are looking for additional guidance. Cutting right to
Fuzzy Matching 101: Cleaning and Linking Messy Data
In 2003, the Social Security Administration (SSA) and the Department of Transportation (DOT) launched a joint investigation into the possible misuse of Social Security Numbers
8 Benefits of Data Matching that Can Help You Grow Your Business
Today, business growth greatly depends on how effectively you can harness information. And while the average number of applications businesses use increased from 843 in
