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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D&B Connect
Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.
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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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DeDupeD
DeDupeD is an innovative application designed for Dynamics 365 that helps users quickly locate and handle duplicate CRM data. By enabling organizations to efficiently find, prevent, and consolidate duplicate entries in Dynamics 365, this tool enhances the overall accuracy and quality of data management. With a streamlined database, sales professionals can optimize their workflow, avoiding unnecessary tasks like contacting the same customer multiple times due to duplicated entries. This application eliminates the tedious process of manually searching through the CRM for duplicate records, making data management more effective and less time-consuming. Ultimately, DeDupeD fosters a more organized and efficient approach to customer relationship management.
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