Resources
Blogs
Batch processing versus real-time data quality validation
A recent survey shows that 24% of data teams use tools to find data quality issues, but they are typically left unresolved. This means that
The impact of poor data quality: Risks, challenges, and solutions
It is challenging to correlate a data problem to business risk or impact. Poor data quality can have devastating risks on your business. Most organizational
Designing a Framework for Data Quality Management
According to O’Reilly’s report on The state of data quality 2020, 56% of organizations face at least four different types of data quality issues, while
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
According to Seagate’s Rethink Data Report 2020, 44% of enterprise data is lost, and only 56% is made available for use. Moreover, out of the
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
The need for master data management A recent Deloitte Digital report shows that an average business uses 16 applications to leverage customer data and about
Data quality dimensions – 10 metrics you should be measuring
“As organizations accelerate their digital business efforts, poor data quality is a major contributor to a crisis in information trust and business value, negatively impacting
Data quality measurement: When should you worry?
In March 2017, Rescue 116 crashed into a 282ft obstacle – the Blackrock Island off the County Mayo coast. Further investigations revealed that the CHC
What is data profiling: Scope, techniques, and challenges
Today, enterprises highly depend on data for growing their businesses and scaling their goals and expectations. Huge efforts are being invested in devising the perfect
Why duplicates exist and how to get rid of them?
According to Natik Ameen, Marketing Expert at Canz Marketing, duplicate data in the company’s CRM happens due to a range of reasons: “from a human error
Merging Data from Multiple Sources – Challenges and Solutions
Merging data from multiple sources Data merging is a process where data is unified from multiple sources to represent a single point of reference or a single point
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 this blog, we will take an in-depth look at fuzzy matching, the go-to approach for data deduplication and record linkage. We will cover: What
8 Benefits of Data Matching that Can Help You Grow Your Business
In this blog, we will discuss what is data matching and the following benefits of it that help businesses enhance business intelligence and directly impact