CleanCRM

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.