Resources
Blogs
Data Enrichment Benefits – Increase Sales Efficiency & Customer Satisfaction by 50%
Data, an organization’s intellectual asset, must be treated and regularly enriched to remain useful and valuable. Over 80% of companies we’ve worked with, — including
Data Enrichment Guide – How to Enrich and Optimize CRM Data for Accurate Insights
44% of companies lose over 10% of annual revenue due to poor-quality CRM data. This shows how many CRM users’ trust in their data is
A Quick Guide to Data Merge Purge
Having delivered merge purge solutions to clients for over a decade, we consider merge purge operations to be an essential function in business operations like
Self-service Data Preparation Tools – Reduce Your Reliance on IT & Complex ETL Processes
Data preparation tools have been around for quite some time now. Most of these tools though require users to be proficient in programming languages &
A Quick Guide to Data Preparation Software, Solutions & Best Practices
As companies are spending billions of dollars investing in big data with the hopes of turning data into money, the need for efficient, easy-to-use data preparation
Address Validation Basics – How to Validate Address Data for a Mailing List
Did you know that 8% of deliveries in the U.S. fail the first time, costing businesses an average of $17.20 per package? While there are
How Address Standardization Plays a Critical Role in Customer Data Analytics
Part of doing business – whether locally or worldwide involves ensuring you have the right customer address data. Without a strong address standardization process in
Data Cleansing Basics – How to Deal with Bad Data the Easy Way
A data cleansing tool is perhaps the most powerful and yet the most underestimated solution. Companies spend millions of dollars in procuring cloud solutions and
How a Merge Purge Software Can Help Resolve Mailing List Woes
Let’s face it – it’s embarrassing when you send out mails to the wrong audience set. More so, it is costly. Millions of dollars go
Don’t Acquire a Company Until You Evaluate its Data Quality
Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to
Why You Should Use a Best-in-Class Data Scrubbing Solution
Data scrubbing, also commonly known as data cleaning is a process that refines your data by removing duplicates and fixing unstructured content. If you’ve been
Disparate, Dirty, Duplicated Data – Understanding the 3Ds of Bad Data.
In a world fascinated with the limitless opportunities of AI, ML, and predictive analysis, data quality has become a significant challenge. Businesses are on edge
What Is Data Transformation and Why You Should Prioritize It Above Other Digital Transformation Initiatives
Would you trust a skyscraper built on a cracked foundation? That’s the risk businesses take when they invest in BI and analytics programs without first
How Data Ladder Helps States With Accurate Data Matching for SLDS Grants
States across the U.S. are ramping up their data efforts in deploying statewide longitudinal data systems (SLDS) that contain information on public school students. The
How Data Is the Most Powerful Asset in the Fog of a Pandemic War
While the world was celebrating the start of a new decade, a pandemic was lurking in the dark. Within months of the new year, the
Data Validation Software – How to Ensure Your Input Data is Valid and Error Free
Ever generated a report only to realize that most of your contact information’s email addresses are not valid? That’s a failed case of data validation.
Your Complete Guide to Obtaining a 360 Customer View
If you’ve landed here, chances are you already know you want a 360-customer view for all the customer data in your organization. Cutting right to
The Complete Guide to Data Cleaning Tools, Solutions & Best Practices for Enterprise Level
Fewer than half (49%) of data practitioners have high trust in their data. The rest are navigating critical business decisions with incomplete, inconsistent, and inaccurate
