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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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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FSWorks
FSWorks™, a robust graphical interface, displays production and quality data in real time. This provides factory insights. FS.Net™, connects it to quality analysis, process performance insight and compliance reporting on-site or remotely. Our philosophy is simple: We work with our clients and go above-and-beyond to help them achieve their goals. We are a dynamic company. Every member of our team has the ability to make decisions in accordance with the Symbrium Way. Factory Systems™, a provider of Statistical Process Control (SPC), rugged factory floor workstations and Enterprise Quality Data Management Systems (SCADA), Supervisory Control and Data Acquisition Systems (SCADA), ANDON systems and Process Monitoring systems, Operational Equipment Effectiveness systems (OEE), ANDON systems and Process Monitoring systems, Process Monitoring systems and Human Machine Interface (HMI), Part ID and Tracking systems and other prepackaged and custom software tools and hardware for manufacturing and product testing operations around the world.
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IBM InfoSphere Information Analyzer
Grasping the quality, composition, and organization of your data is a crucial initial step in the process of making significant business choices. IBM® InfoSphere® Information Analyzer, which is part of the IBM InfoSphere Information Server suite, assesses data quality and structure both within individual systems and across diverse environments. With its reusable library of rules, it enables evaluations at multiple levels based on rule records and patterns. Moreover, it aids in managing exceptions to predefined rules, allowing for the identification of inconsistencies, redundancies, and anomalies in the data, while also helping to draw conclusions about optimal structural choices. By leveraging this tool, businesses can enhance their data governance and improve decision-making processes.
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