DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Plauti
Plauti builds native data-quality applications that run entirely within your CRM environment. No data is sent to external servers or third-party processing services, and there’s no parallel infrastructure to maintain. Your data stays where it belongs: under your control, behind your security perimeter, governed by your own access model.
For Salesforce, Plauti addresses the full lifecycle of data quality:
> Prevention at entry: Real-time duplicate detection alerts users as they type, blocking bad data before it’s created.
> Detection from external sources: Identify duplicates coming from integrations, imports, and APIs, so data quality doesn’t degrade over time.
> Batch remediation at scale: Run powerful batch jobs to find, review, and merge existing duplicates, with full audit trails for compliance and governance.
> Contact data verification: Validate email addresses and phone numbers before they’re saved to reduce bounces and failed outreach.
All processing runs natively on Salesforce infrastructure. Plauti respects your existing profiles, roles, and permission sets, so there’s no separate login, no data synchronization layer, and no new security surface to harden.
For Microsoft Dynamics 365, Plauti provides similar control over duplicates with real-time alerts, API-driven detection, batch processing, and cross-entity matching. It’s designed for CRM admins and data stewards who need direct, immediate control over data quality without waiting on developers, external consultants, or long IT ticket queues.
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Experian Address Validation
Over half of all companies lack strong assurance in their data quality. Boost your trust in address data instantly with our cutting-edge real-time address validation solution.
Our advanced address validation software meticulously cleans, corrects, and standardizes address information prior to any mailing. This innovative software is engineered to handle the significant discrepancies often found in addresses by correcting spelling errors and inaccuracies, providing missing data elements, and ensuring records are uniform. Additionally, our address validation service holds certifications from both the U.S. Postal Service® CASS Certified™ and Canada Post SERP, guaranteeing its reliability and effectiveness. By utilizing our service, you can enhance your data integrity and ensure successful communication.
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Egon
Ensuring the integrity of software and geocoding involves validating, deduplicating, and preserving accurate address data that can be reliably delivered. The quality of this data reflects the precision and thoroughness with which it represents the entities it denotes. In the realm of postal address verification and data quality, the focus lies on validating, enhancing, and integrating information within address databases to ensure they serve their intended purposes effectively. Various industries depend on accurate postal addresses for a multitude of operations, ranging from shipping logistics to data input in geomarketing and statistical mapping. Maintaining high-quality archives and databases can lead to significant cost and logistical efficiencies for businesses, making operations more streamlined and productive. This critical aspect of data management should not be overlooked, as it contributes greatly to enhanced work processes. Additionally, Egon serves as an accessible online data quality system, providing users with immediate support in managing their address data.
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