Name: CleanCRM
Author: ActivePrime

Help Desk

Kiosk

Web and Video Conferencing

Customer Support

Agile Development

Interactive Application Security Testing (IAST)

Product Lifecycle Management (PLM)

Service Mesh

Development

Alumni Management

School Management

Education

Business Intelligence (BI)

Collaboration

Digital Rights Management (DRM)

Enhanced 911 (E911)

Operational Analytics

Enterprise

Accounting

Invoicing

Nonprofit Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Pay Equity

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Application Lifecycle Management (ALM)

Application Performance Management (APM)

Archiving

Build Automation

Cloud Storage

Composable Infrastructure

Data Integration

Data Privacy Management

Database Performance Monitoring

Email Verification

Ethernet Switches

Fraud Detection

Governance, Risk & Compliance

IP Address Management (IPAM)

Integration Platform as a Service (iPaaS)

Internet Security

License Management

Network Diagnostics

Network Performance Monitoring

Network Simulation

SQL Server Performance Monitoring

Storage Management

Wireless LAN

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Blogging

Computer-Assisted Translation

Content Management

Creative Collaboration

Email Marketing

Marketing Automation

Product Sampling

Search Engine Marketing (SEM)

Social Media Management

Survey & Forms Building

Web Analytics

Website Builder

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales

API Security

Security

Construction Management

ID Card

Laboratory Information Management

Last Mile Delivery

Municipal

Nonprofit CRM

Roofing

Vertical-Specific

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CleanCRM, developed by ActivePrime, is an AI-powered Data Quality Platform designed to address CRM data quality issues and generate synthetic data. This solution caters to businesses of all sizes, from small enterprises to large corporations. Sales and marketing professionals, customer service representatives, CRM administrators, data analysts, and financial services organizations can leverage CleanCRM's comprehensive data quality assessment and generative AI capabilities.

## Key Features

**Data Quality Assessment**: CleanCRM provides an AI-powered Data Quality Assessment for Salesforce CRM, aiming to enhance decision-making, improve customer experiences, and increase operational efficiency by identifying and highlighting various data quality issues such as formatting issues, duplicated data, missing data, incorrect data, damaged data, junk data, and misplaced data.

**Generative AI Synthetic Data**: CleanCRM offers the capability to generate synthetic data using advanced Generative AI algorithms, closely emulating real data and providing a realistic representation for tasks such as enterprise data sharing, testing, quality assurance, and CRM scenario simulation. The synthetic data includes similar defect distributions found in real data, ensuring accuracy and realism.

**Data Quality Index**: CleanCRM provides a Data Quality Index that tracks the organization's data quality score, helping them understand their data quality status and the potential financial impact of implementing data quality initiatives. It provides insights into the distribution of data quality defects, enabling organizations to prioritize areas for improvement.

**Dirty Data Symptoms**: CleanCRM allows users to easily identify and track various indicators of dirty data, providing a visual representation of the percentage of dirty data for different symptoms, including formatting issues, missing data, duplicate records, and incorrect data.

**Findings and Recommendations**: CleanCRM analyzes data quality issues and provides detailed findings and recommendations, offering actionable insights to prioritize areas for improvement and potential solutions. The findings assist organizations in understanding the root causes of data quality issues and guide them towards effective data cleansing strategies.

**Next Steps Guidance**: CleanCRM not only identifies problems but also offers detailed guidance on improving data quality. The Next Steps section provides actionable recommendations to start reaping the benefits of clean CRM data, offering organizations a roadmap to achieve better data quality and maximize the value of their CRM data.

**Fast Onboarding**: CleanCRM ensures fast onboarding by providing presets for CRM data or automatically generating settings by analyzing source data. The Data Profiler feature eliminates the need for manual configuration, saving time and effort.

**Enterprise Data Sharing**: CleanCRM enables secure and anonymized sharing of production-like data with internal and external stakeholders. This allows organizations to securely share data for various purposes such as testing, volume and performance simulations, and sandbox seeding.

**Train AI Models**: CleanCRM's synthetic data can be effectively used to train AI models by providing data that closely resembles customer data. The trained AI models can be utilized for functions such as predicting customer behavior and providing personalized recommendations.

AdvancedMiner Server

AdvancedMiner Pro

AdvancedMiner Elite

AdvancedMiner

Basic

Uncat

CleanCRM

Data Management Platforms (DMP) are one component of what is often referred to as "Ad Tech" or digital advertising technology. A DMP is a kind of data warehouse that sorts and stores information that is subsequently used by marketers and advertisers. The most typical use is to house structured information from a number of different systems and organizing it at the customer level (if it’s about your customers or prospects), or at the cookie level (if the person is unknown).

Data Management

ActivePrime

Data Collection

Data collection is important for building a centralized repository of customer, audience, or user data.

Collection of first-party data

Collecting all first-party data (website traffic data, CRM; data, subscription data, social data, etc.) in a centralized place for subsequent analysis.

Collection of third-party data

Third-party (external) data is collected and combined with first-party data.

Access to Third-party Data Providers

Data transfer to ad networks and exchanges for media buys.

Data Classification

Classification of data is organizing it into taxonomies

Audience taxonomy

Software enables construction and organization of site data into a structured taxonomy.

Tag Management

Tag-based audience management to assist with categorizing data into a hierarchical data taxonomy

Data Analysis Dashboard

Dashboard enabling data to be segmented to help reach audiences more precisely.

Ad Network Integration

Integration with main ad networks, and exchanges to make accurate media buys.

Data Transfer

Transfer of data to ad exchanges to match third-party to segments.

DSP integration

Integration with DSP platforms for ad buying

DMP Analytics

Campaign Analytics

Dashboard for measuring and comparing campaign performance.

Audience Analytics

Visibility into the performance of different audience segments

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Data Management Platforms (DMP)

CleanCRM

Overview

What is CleanCRM?