Plauti Features
Functionality (6)
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Identification
Correctly identify inaccurate, incomplete, or duplicated data from a data source.
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Correction
Utilize deletion, modification, appending, merging, or other methods to correct bad data.
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Normalization
Standardize data formatting for uniformity and easier data usage.
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Preventative Cleaning
Clean data as it enters the data source to prevent mixing bad data with cleaned data.
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Data Matching
Finds duplicates using the fuzzy logic technology or an advance search feature.
Real-Time Data
Receive data and information in real time
Data Interaction (8)
Profiling and Classification
Permits profiling of data sets for increased organization, both by users and machine learning
Metadata Management
Indexes metadata descriptions for easier searching and enhanced insights
Data Modeling
Tools to (re)structure data in a manner that enables quick and accurate insight extraction
Data Joining
Allows self-service joining of tables
Data Blending
Provides the ability to combine data sources into one data set
Data Quality and Cleansing
Allows users and administrators to easily clean data to maintain quality and integrity
Data Sharing
Offers collaborative functionality for sharing queries and data sets
Data Governance
Ensures user access management, data lineage, and data encryption
Additional Functionality (82)
Contact Database
Centralized database of stakeholders and their contact information such as names, address, phone number etc.
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Data Migration
Move from one database to another, or upgrade the version of database software being used
Engagement Tracking
Tracks metrics that provide insight into how a user interacts with any interface or product
Data Visualization
Graphical representation of data
Audience Targeting
Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention
Data Capture and Transfer
Import, collect, and capture data from multiple sources
Competitive Analysis
Evaluating strengths and weaknesses of companies with the same target audience
Generative AI
Use AI to generate content in the form of text, images, videos, etc.
Reporting/Analytics
View and track pertinent metrics to find patterns and gain insights from data
Data Synchronization
Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency
CRM
Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system
Content Library
Centralized repository to store content and assets
Data Mapping
Track the management and flow of data throughout the organization
Customer Journey Mapping
Visualize and analyze customer experience across all touchpoints and channels
API
Application programming interface that allows for integration with other systems/databases
SMS Marketing
Send promotional campaigns or transactional messages via text messages
Data Recovery
Ability to restore deleted, hidden, or lost data from an email server/system
Drip Campaigns
Send automated marketing emails based on user actions over a predetermined period
Customer Database
A collection of customer information such as contact details, demographics, previous interactions, etc.
Email Marketing
Create and send email blasts/campaigns
Data Profiling
Examines, analyzes, and organizes data to create relevant summaries or graphs.
Multi-Channel Marketing
Coordinate marketing efforts across channels (email, landing pages, social media, etc.)
Real-Time Analytics
Analyze and gain insights into data in real-time
Click Tracking
Track the amount of clicks on individual products to measure campaign results
Behavior Tracking
Track visitors'/audience's responses across web pages and other optimized content
Real-Time Reporting
Active reporting of data and metrics
Data Transformation
Translate EDI formats into data suitable for use with company applications.
Multi-Campaign
Manage multiple campaigns in one system
A/B Testing
Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness
Campaign Analytics
Track and interpret campaign performance metrics
Data Verification
Process of checking different types of data for accuracy to avoid errors or inconsistencies
Data Extraction
Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
Behavioral Analytics
Track and analyse user behavior within a system or network
Multiple Data Sources
Allows users to manage data from a number of sources
Reporting & Statistics
Collection, analysis, and representation of numerical data and generation of reports to understand various patterns
ROI Tracking
Monitor conversion rates and analyze effectiveness and profitability of marketing efforts
Predictive Analytics
Predict future data based on historical data sets
Metadata Management
Indexes metadata descriptions for easier searching and enhanced insights
Collaboration Tools
Provides a channel for team members to share media files, communicate, and work together
Search/Filter
Search and filter data across systems to locate required information by entering keywords or certain criteria
Workflow Management
Create, design and manage workflows for repetitive tasks
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Third-Party Integrations
Set up connections to third-party platforms to improve business processes
Data Synchronization
Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency
Data Import/Export
Import and export data to and from software applications
Customizable Rules
Rules followed by the software/AI can be configured by users to suit their specific needs
Master Data Management
Verify, organize, manage & store enterprise data assets in a centralized repository
Monitoring
Observe and track the demand, usage, progress or quality of a system, product, or user
Data Transformation
Translate EDI formats into data suitable for use with company applications.
Multiple Data Sources
Allows users to manage data from a number of sources
Self Service Portal
Online portal through which end users can access the system, manage tasks, or obtain information
Customer Database
A collection of customer information such as contact details, demographics, previous interactions, etc.
Data Verification
Process of checking different types of data for accuracy to avoid errors or inconsistencies
Data Migration
Move from one database to another, or upgrade the version of database software being used
Multi-Language
Manage and support multiple languages
Single Sign On
Allow users to access multiple services after entering their login credentials once
Duplicate Detection
Compare new data with existing records to detect duplicate entries
Email Address Extraction
Extract email addresses from multiple data sources
Reporting/Analytics
View and track pertinent metrics to find patterns and gain insights from data
Data Profiling
Examines, analyzes, and organizes data to create relevant summaries or graphs.
Data Extraction
Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
Data Mapping
Track the management and flow of data throughout the organization
Address Validation
Verifies and confirms the accuracy of an address
Match & Merge
Looking at data from different sources and finding possible duplicates, or identical matches
Performance Metrics
A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
Visual Analytics
Interact with data visualization elements, such as charts and graphs, to drill down into data
Version Control
Track revisions and updates made to files and navigate between different versions
API
Application programming interface that allows for integration with other systems/databases
Data Capture and Transfer
Import, collect, and capture data from multiple sources
Access Controls/Permissions
Define levels of authorization for access to specific files or systems
Compliance Management
Track and manage adherence to policies for any service, product, process, or supplier
Data Discovery
Discover and connect variety of data sources to the application for analysis
Data Analysis Tools
Analyze survey results via statistical testing or crosstabs directly within the software
AI/Machine Learning
Software program that continuously adjusts its behavior based on observed data
Data Extraction
Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
Reporting/Analytics
View and track pertinent metrics to find patterns and gain insights from data
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Data Mapping
Track the management and flow of data throughout the organization
ETL
Process of extracting, transforming, and loading data
Big Data Analytics
Examine large amounts of data to uncover hidden patterns, correlations, and other insights
Data Quality Control
Establish guidelines about how much and what kind of data can be stored in the repository
Agentic AI - Data Management Platform (DMP) (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Campaign Planning
Plan and strategize marketing campaigns
Platform (8)
Performance and Reliability
Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.
Enterprise Scalability
Provides features to allow scaling for large organizations.
Internationalization
Enables users to use the DMP in multiple languages.
Advertising Management
Manage advertising space and its sales within your network or publication
Performance Management
Organize and manage the accomplishments and development of employees or performance of applications or systems
Campaign Management
Create a collection of marketing actions to complete specific goals and plan and analyze campaign results
Data Storage Management
Manage and store data in a database
Customer Experience Management
Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.
Management (5)
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Reporting
Provide follow-up information after data cleanings through a visual dashboard or reports.
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Automation
Automatically run data identification, correction, and normalization on data sources.
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Quality Audits
Schedule automated audits to identify data anomalies over time based on set business rules.
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Dashboard
Gives a view of the entire data quality management ecosystem.
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Governance
Allows user role-based access and actions to authorization for specific tasks.
Routing (4)
Match and Route
Automatically routes matched leads directly to account owners.
Multi-Objects
Allows users to build custom routing rules.
Territories
Allows users to assign leads to selected territories and regions.
Working Hours
Allows users to configure schedules so leads are routed only during working hours.
Generative AI (5)
AI Text Generation
Allows users to generate text based on a text prompt.
Generative AI
Use AI to generate content in the form of text, images, videos, etc.
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AI Text Generation
Allows users to generate text based on a text prompt.
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AI Text Summarization
Condenses long documents or text into a brief summary.
Generative AI
Use AI to generate content in the form of text, images, videos, etc.
Platform Operations (8)
Service level Agreements
Allows users to configure service level agreements so leads get matched and routed as fast as possible.
Audit Logs
Provides features to audit any leads that were misrouted to incorrect accounts.
Duplicate Match
Provides features to quickly audit leads and identify if there are duplicate leads in multiple accounts.
Capping
Limits the number of leads to assign to sales reps.
Analytics
Provides analytics for tracking and monitoring routing.
Integrations
Provides integrations for CRMs and marketing automation platforms.
Alerts & Notifications
Sends an alert to salespeople when a lead is routed to them.
AI Lead Matching & Routing
Leverages AI to improve lead-to-account matching accuracy and reduce latency in routing leads.
Data Integration (4)
Data Import/Export
Import and export data to and from software applications
Collaboration Tools
Provides a channel for team members to share media files, communicate, and work together
Real-Time Data
Receive data and information in real time
Ad Network Integration
connects advertisers to websites that want to host advertisements.
Data Analysis & Optimization (3)
Audience Segmentation
Ease of segmenting user profiles into groups.
Standard Dashboards
Provides pre-built dashboards to aggregate and display data.
Campaign Segmentation
Group campaigns by project, client, or campaign for better management.
Matching (3)
Priority Matching
Allows users to prioritize matches based on criteria such as region, account attributes, and other customer information.
Account Tiebreakers
Provides tiebreaking features when leads match to multiple accounts.
Fuzzy Matching
Provides matching logic features for special characters, acronyms, and other complex names.
Agentic AI - Salesforce AppExchange Apps (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Data Exporting (3)
Breadth of Integrations
Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools
Ease of Integrations
Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools
Data Workflows
Operationalizes data workflows to easily scale repeatable preparation needs
Data Source Access (3)
Breadth of Data Sources
Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others
Ease of Data Connectivity
Allows businesses to easily connect to any data source
API Connectivity
Offers API connections for cloud-based applications and data sources
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