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The Impact of Data Quality on Financial System Upgrades
The Impact of Data Quality on Financial System Upgrades Imagine losing 31% of your revenue due to poor data quality. For financial services, this isn’t
Data Integrity During System Transitions: 5 Key Tactics for Finance Leaders
Data Integrity During System Transitions: 5 Key Tactics for Finance Leaders So you are planning to migrate data to new systems, what could possibly go
5 Best Practices for Successful Data Migration in Financial Services
5 Best Practices for Successful Data Migration in Financial Services In 2022, Morgan Stanely was fined $35 million by the SEC for failing to protect
Top Strategies for Effectively Combining Data from Different Tables and Fine-Tuning Results
Combining data from different tables is crucial for accurate analytics. This article covers strategies for effectively combining data from different tables, from SQL joins to
Perfecting Data Matching: Essential Techniques and Best Practices Revealed
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,
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
Standard Address Format: 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
Mastering Data Management for Data Matching: Key Features and Requirements for Building an Effective Data Catalog
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
Advanced Data Clean and Match Techniques: A Comparative Review of Data Ladder vs. WinPure
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
What Is Data Integrity and How Can You Maintain It?
67% of data and analytics professionals do not fully trust the data their organizations rely on for decision-making. These include data managers, stewards, architects, analysts,
How to Improve Data Quality: Define, Design, and Deliver
76% of organizations say data-driven decision-making is their top goal for 2025. However, 67% of data and analytics professionals don’t fully trust the data used
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
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
Data Integration Explained: Definition, Types, Process, and Tools
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
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
8 Principles of Data Management
An average enterprise – with 200-500 employees – uses about 123 SaaS applications to digitize their business processes. With large amounts of data being generated
Data Quality Management: What, Why, How, and Best Practices
“Quality is never an accident; it is always the result of high intention, sincere effort, intelligent direction, and skillful execution; It represents the wise choice
How to Improve Data Quality in Financial Services
24 percent of insurers say that they are ‘not very confident’ about the data they use to assess and price risk. Corinium Intelligence The economic
