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Description

Plauti brings native data quality to Salesforce and Microsoft Dynamics 365 CE, giving teams the confidence to automate, report, and run AI on records they can actually trust. Nothing is exported to outside servers: everything runs inside your own CRM, and your admins keep full control without filing a single IT ticket. Data quality with Plauti covers the whole record lifecycle: Get a live view of data health across every object (table) and field, so the whole team works from one accurate picture Bulk-clean existing duplicates, standardize formatting, and validate emails, phone numbers, and addresses Stop bad records before they land, whether they come in through manual entry, imports, the API, or AI tools like Agentforce and Copilot Put clean data to work right away: route it, distribute it downstream, and let AI act on records it can rely on Because it's built directly on Salesforce and Dynamics 365 CE architecture, Plauti inherits your existing permissions and security setup. There's no separate login to manage, no delay syncing data between systems, and no compliance blind spots.

Description

In the current landscape, forward-thinking companies are utilizing data to outperform competitors, enhance customer satisfaction, and identify new avenues for growth. However, they also face the complexities posed by industry regulations and strict data privacy laws that put pressure on conventional technologies and workflows. The importance of data quality cannot be overstated, yet it frequently falters before reaching business intelligence and analytics tools. Wiiisdom Ops is designed to help organizations maintain quality assurance within the analytics phase, which is crucial for the final leg of the data journey. Neglecting this aspect could expose your organization to significant risks, leading to poor choices and potential automated failures. Achieving large-scale BI testing is unfeasible without the aid of automation. Wiiisdom Ops seamlessly integrates into your CI/CD pipeline, providing a comprehensive analytics testing loop while reducing expenses. Notably, it does not necessitate engineering expertise for implementation. You can centralize and automate your testing procedures through an intuitive user interface, making it easy to share results across teams, which enhances collaboration and transparency.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ADP DataCloud No 
Apache Tomcat No 
Collibra No 
Databricks No 
Google Chrome No 
Internet Explorer No 
Microsoft Azure No 
Microsoft Dynamics 365 Yes 
Microsoft Excel No 
Microsoft Power BI No 
Mozilla Firefox No 
PostgreSQL No 
Qlik Sense No 
Red Hat OpenShift Streams No 
SAP BusinessObjects Business Intelligence No 
SQL No 
Salesforce Yes 
Slack No 
Tableau No 
WhereScape No 

Integrations

ADP DataCloud Yes 
Apache Tomcat Yes 
Collibra Yes 
Databricks Yes 
Google Chrome Yes 
Internet Explorer Yes 
Microsoft Azure Yes 
Microsoft Dynamics 365 No 
Microsoft Excel Yes 
Microsoft Power BI Yes 
Mozilla Firefox Yes 
PostgreSQL Yes 
Qlik Sense Yes 
Red Hat OpenShift Streams Yes 
SAP BusinessObjects Business Intelligence Yes 
SQL Yes 
Salesforce No 
Slack Yes 
Tableau Yes 
WhereScape Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Plauti

Founded

2011

Country

Netherlands

Website

www.plauti.com

Vendor Details

Company Name

Wiiisdom

Country

United States

Website

wiiisdom.com/wiiisdom-ops/overview/

Product Features

Customer Data Platforms (CDP)

Behavioral Analytics No 
Campaign Management No 
Customer Profiles No 
Customer Segmentation No 
Data Integration No 
Data Matching No 
GDPR Compliance No 
Personalization No 
Predictive Modeling No 

Data Management

Customer Data Yes 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control Yes 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge Yes 

Data Management Platforms (DMP)

Ad Network Integration No 
Analytics / ROI Tracking No 
Audience Targeting No 
Behavioral Analytics No 
CRM Yes 
Campaign Management No 
Competitive Analysis No 
Customer Journey Mapping No 
Data Capture / Transfer No 
Data Classification No 
Data Visualization No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing Yes 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation Yes 
Machine Learning No 
Visual User Interface No 

Data Quality

Address Validation Yes 
Data Deduplication Yes 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge Yes 
Metadata Management No 

Email Verification

Bulk Email Verification Yes 
Catch-all Server Detection No 
Disposable Email Detection No 
Domain Check No 
Mail Server Validation No 
Single Email Verification Yes 
Spam Trap Detection No 
Syntax Check No 

Lead Management

Activity Tracking No 
Campaign Management No 
Lead Capture No 
Lead Distribution Yes 
Lead Nurturing No 
Lead Scoring No 
Lead Segmentation No 
Pipeline Management No 
Prospecting Tools No 
Source Tracking No 

Master Data Management

Data Governance Yes 
Data Masking No 
Data Source Integrations No 
Hierarchy Management No 
Match & Merge Yes 
Metadata Management No 
Multi-Domain No 
Process Management No 
Relationship Mapping No 
Visualization No 

Product Features

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

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