Plauti Features

Able to extract data from the DMP in bulk through a structured file.

Ease of segmenting user profiles into groups.

Provides pre-built dashboards to aggregate and display data.

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.

Provides features to allow scaling for large organizations.

Enables users to use the DMP in multiple languages.

Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others

Allows businesses to easily connect to any data source

Offers API connections for cloud-based applications and data sources

Permits profiling of data sets for increased organization, both by users and machine learning

Indexes metadata descriptions for easier searching and enhanced insights

Tools to (re)structure data in a manner that enables quick and accurate insight extraction

Allows self-service joining of tables

Provides the ability to combine data sources into one data set

Allows users and administrators to easily clean data to maintain quality and integrity

Offers collaborative functionality for sharing queries and data sets

Ensures user access management, data lineage, and data encryption

Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools

Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools

Operationalizes data workflows to easily scale repeatable preparation needs

Correctly identify inaccurate, incomplete, or duplicated data from a data source.

Utilize deletion, modification, appending, merging, or other methods to correct bad data.

Standardize data formatting for uniformity and easier data usage.

Clean data as it enters the data source to prevent mixing bad data with cleaned data.

Finds duplicates using the fuzzy logic technology or an advance search feature.

Provide follow-up information after data cleanings through a visual dashboard or reports.

Automatically run data identification, correction, and normalization on data sources.

Schedule automated audits to identify data anomalies over time based on set business rules.

Gives a view of the entire data quality management ecosystem.

Allows user role-based access and actions to authorization for specific tasks.

Allows users to prioritize matches based on criteria such as region, account attributes, and other customer information.

Provides tiebreaking features when leads match to multiple accounts.

Provides matching logic features for special characters, acronyms, and other complex names.

Automatically routes matched leads directly to account owners.

Allows users to build custom routing rules.

Allows users to assign leads to selected territories and regions.

Allows users to configure schedules so leads are routed only during working hours.

Allows users to configure service level agreements so leads get matched and routed as fast as possible.

Provides features to audit any leads that were misrouted to incorrect accounts.

Provides features to quickly audit leads and identify if there are duplicate leads in multiple accounts.

Limits the number of leads to assign to sales reps.

Provides analytics for tracking and monitoring routing.

Provides integrations for CRMs and marketing automation platforms.

Sends an alert to salespeople when a lead is routed to them.

Leverages AI to improve lead-to-account matching accuracy and reduce latency in routing leads.

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives