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Third-Party Data Integration

Add External Data Sources into your data pipeline: We provide access to and integration with various third-party data sources, such as demographic data, economic indicators, weather data, social media trends, and more. This can enrich the data used for model training and scoring.

Incorporate outside paid data sources: We also integrate other providers’ third party data sources on your behalf

Data Aggregation and Normalization: We offer services to aggregate and normalize external data sources, ensuring consistency and quality across different datasets.

CRM Integration

Seamless CRM Integration: Integrate directly with popular CRM systems (e.g., Salesforce, HubSpot, Microsoft Dynamics) to pull customer data and feed ML scoring
results back into the CRM. This enables sales and marketing teams to take immediate action based on predictions.

Lead and Opportunity Scoring: Use the ML service to score leads and opportunities directly within the CRM, helping sales teams prioritize their efforts.

Marketing Automation Integration

Campaign Management: Integrate with marketing automation platforms (e.g., Marketo, Mailchimp) to use ML-driven insights for campaign segmentation, targeting, and personalization.

Real-Time Recommendations: We can provide real-time customer recommendations and next-best-action insights for marketing campaigns.

Custom API Development

API Access: In addition to ScoreStream, we offer custom API development services to allow clients to integrate the ML scoring service into their own software applications, websites, or platforms.

Webhook Support: Provide webhook support to trigger events or notifications based on ML scoring results, enabling real time actions.

Data Engineering and Preprocessing Services

Custom Data Cleaning and Transformation: By default, ScoreStream will clean, preprocess, and transform client data before it is fed into the ML scoring system. This can include handling missing data, outlier detection, and feature scaling. However, if your data need more to that effect, we can help.

ETL (Extract, Transform, Load) Support Services: We can help develop and manage ETL pipelines to ensure data is regularly and efficiently prepared for analysis.

Visualization and Reporting Tools

Custom Dashboards: We can create dashboards that visualize your ML scoring results, trends, and insights, making it easier for business users to understand and act on the data.

Automated Reporting: We can provide automated, scheduled reports summarizing key insights, metrics, and trends identified by the ML models.

Model Interpretability and Explainability

Explainable AI (XAI) Services: We have experience building custom tools and services to explain the predictions and scores generated by the ML models, helping clients understand the factors influencing results.

Compliance and Audit Reports Support: Provide detailed reports to support regulatory compliance and auditing requirements, showing how and why certain decisions were made by the ML models.

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Custom Model Development

Tailored ML Solutions: Offer services to develop custom machine learning models
tailored to specific client needs, industries, or use cases that go beyond generic
classification and regression models.

Model Optimization: Scorestream will automatically optimize existing models for better performance, including hyperparameter tuning, feature selection, and ensemble techniques. However, if deep optimization is required, we can help.

Training and Support

User Training: We provide training sessions and documentation to help clients understand how to use the ML scoring service, interpret results, and integrate it into their workflows. We can also provide more detailed training if needed.

Technical Support: We provide ongoing technical support and consulting to assist clients with implementation, troubleshooting, and scaling the use of the ML scoring service.

Security and Data Privacy

Data Encryption and Secure Storage: We ensure all client data is encrypted and
securely stored, adhering to industry standards for data privacy and security.

Compliance with Regulations: We can provide compliance services to help clients
adhere to data privacy regulations (e.g., GDPR, CCPA), ensuring that data handling
practices meet legal requirements.

A/B Testing and Experimentation

Experiment Management: Offer tools and services to manage and analyze A/B tests and experiments, helping clients measure the impact of ML-driven strategies.

Testing Insights: Provide insights into the effectiveness of different ML models or
marketing strategies through systematic testing and evaluation.

Real-Time Scoring and Streaming Data Integration

Real-Time Scoring: Implement real-time scoring capabilities to provide immediate
predictions and insights as new data is generated.

Integration with Streaming Data Platforms: Offer integration with streaming data platforms (e.g., Apache Kafka, AWS Kinesis) to support real-time data ingestion and processing.

Industry-Specific Solutions

Vertical-Specific Models: We have many pre-built models and solutions tailored to specific industries, such as finance, healthcare, education, recoveries, outbound dialing, predictive maintenance, and more.

Use Case Templates: Some optional templates we can provide include predicting defendant court appearance, predicting which school districts are most likely to convert, which delinquent borrowers are most likely to cure across different communication tools (e.g., text versus email, etc.).

These supplemental services can enhance the value of your ML scoring service, making it more versatile, easier to use, and better integrated into the client’s existing systems and processes.