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How Transaction Matching Software Can Empower Your Financial Institution & Improve Operational Efficiency
Do your banking officers or insurance agents still manually compare spreadsheets to make sense of data? Do you still have manual journal entries as part
Data Management Trends 2020 – An Overview by Data Ladder
It won’t be possible to give an overview of data management trends 2020 without conducting an analysis of the clients and the projects we worked
Your Complete Guide to List Matching Software and Approaches
Most companies now understand that new technologies and applications must be implemented in order to upscale business operations. But implementing a data migration of a
Name Matching Software vs Algorithms: Which is Best for Your Business?
Imagine sending out a promotional email to one of your best customers, William Rogers, that opens with “Dear Willy Rog.” It may seem like a
Using Wordsmith to Remove Noise and Standardize Data in Bulk for Greater Matching Confidence
The data that flows into your organization comes in a variety of formats: inconsistent capitalization, punctuation, obscure acronyms, alpha-numeric characters living in fields they shouldn’t
What Does Data Quality Mean for Your Data Warehouse?
Every year, organizations invest millions into data warehousing projects, often to see them falter due to bad data. Whether it’s inaccurate entries, inconsistent formats, or
Entity Resolution for a Single Customer View
“The ability to view the customer through a single lens enables critical measurement, optimization, efficiency, and personalized use cases.” Jason Niemi, Director Digital Engagements, Kraft
Data Cleansing Tools: Improving Analytics and Business Intelligence with Clean Data
To understand and respond to trends that impact business performance, it’s critical that you know where to find corresponding data and how to tie the
Data Cleansing in the Data Warehouse: The Code-Free, Automated Approach to Maintaining Your Single Source of Truth
Imagine investing millions into a cutting-edge data warehouse only to have faulty data corrupt every insight, decision, and action. It happens more often than you’d