RINGLEAD DATA QUALITY AND MANAGEMENT
Data orchestration that builds synergy across
your entire RevOps tech stack.
WHAT IS DATA QUALITY?
Watch the video to learn how to
define data quality, the underlying causes of
poor data quality, and why it’s critical to
successful business outcomes.

HOW TO ASSESS YOUR DATA QUALITY?
The importance of data quality on critical business outcomes is very clear. Yet organizations still struggle to govern and manage their data to achieve high-quality data within their tech stack. Download the whitepaper to learn more.
DOWNLOAD PDF
THE IMPACT OF DATA QUALITY ON AI
In the era of automation, machine learning, and artificial intelligence, data quality has become the key differentiator in successful B2B customer experiences.
Watch Enrique Esclusa, Dir. of Rev Ops at Expanse, discuss the data quality processes he implements to enable AI & outside automation system.

Explore RingLead’s Top Features

Coupled with the RingLead Data Quality Platform, you can set up multivendor enrichment workflows using boolean if/then statements that can utilize any combination of data vendors in each field. Enrichment tasks can be applied in real-time and batch.


This solves Salesforce native routing deficiencies that cannot integrate account information into the lead routing process.

In a drag and drop interface, users can batch replace, reassign, delete, transform, and fix data across their CRM in just a few clicks. Advance update options include updating field values with values from other fields, hard coded values and formula based changes.

- Duplicate detection through fuzzy matching
- Merging duplicates through customizable field level master record and surviving field value rules
RingLead users can customize out-of-the-box best practice templates with if/then boolean statements to create criteria for how duplicate, leads, contacts, and accounts, are identified and merged at the single table and cross object level.

By customizing RingLead’s standardization templates, RingLead users fix spelling errors, fix non uniform, and unreadable data across their systems.
Verification allows users to confirm and check address deliverability, and verify phone numbers so delivery (mail and email) and dialer automation systems work seamlessly.

Utilize and customize RingLead’s segmentation templates automates the process of taking your unstructured SIC Code, NAISC code, address, revenue, and the unlimited variations of job title, to create usable structured datasets by job role, job function, industry, and territory (i.e Northwest SMB, Northwest Midmarket, Southwest Enterprise, Southwest SMB, etc).

WHAT IS DATA QUALITY?
Watch the video to learn how to
define data quality, the underlying causes of
poor data quality, and why it’s critical to
successful business outcomes.


HOW TO ASSESS
YOUR DATA QUALITY?
The importance of data quality on critical
business outcomes is very clear. Yet
organizations still struggle to govern and
manage their data to achieve high-quality
data within their tech stack. Download the
whitepaper to learn more.
THE IMPACT OF
DATA QUALITY ON AI
In the era of automation, machine learning,
and artificial intelligence, data quality has
become the key differentiator in successful
B2B customer experiences.
Watch Enrique Esclusa, Dir. of Rev Ops at
Expanse, discuss the data quality processes
he implements to enable AI & outside
automation system.

Security is at the heart of everything we do
At RingLead, we are committed to providing the highest level of safety and security for our employees, customers, and community. The RingLead platform was built to the highest standards to protect your organization’s data. Our dedicated compliance team takes continual measures to ensure compliance with industry regulations and standards.



