솔루션 아키텍처: Optimize marketing with machine learning
Marketing campaigns are about more than the message being delivered; when and how that message is delivered is just as important. Without a data-driven, analytical approach, campaigns can easily miss opportunities or struggle to gain traction.
Through machine learning informed by historical campaign data, this solution helps predict customer responses and recommends an optimized plan for connecting with your leads—including the best channel to use (by email, SMS, a cold call, etc.), the best day of the week, and the best time of the day.
Optimizing your campaigns with machine learning helps improve both sales leads and revenue generation and can provide strong ROI for your marketing investment.
In this solution, SQL Server R Services brings the compute to the data by running R on the computer that hosts the database.
미리 빌드된 템플릿을 사용하여 이 아키텍처를 Azure에 배포하세요.Azure에 배포
SQL Server R Services
|SQL Server stores the campaign and lead data. R-based analytics provide training and predicted models and predicted results for consumption using R.|
|Machine Learning helps you easily design, test, operationalize, and manage predictive analytics solutions in the cloud.|
|Power BI provides an interactive dashboard with visualization that uses data stored in SQL Server to drive decisions on the predictions.|
관련 솔루션 아키텍처
Microsoft Azure의 빅 데이터 및 고급 분석 서비스를 사용하여 수익성을 최대화하기 위해 미래 고객 수요를 예측하고 가격을 최적화하세요.자세한 정보
개인 설정된 오퍼링을 통해 제품을 마케팅하는 데 중요한 기술을 찾으세요. 빅 데이터 통찰력을 사용하여 고객 응답을 향상시키도록 마케팅을 개별화하세요.자세한 정보