Our scale-up in the Subscription Economy is seeking a skilled data engineering freelancer to develop a real-time analytics platform. This solution aims to transform raw subscription data into actionable insights, improving customer retention and maximizing revenue. With a focus on integrating modern technologies like Apache Kafka and Snowflake, the project will enable decision-makers to access up-to-the-minute data visualizations across various subscription metrics.
Our target audience includes decision-makers within subscription-based businesses looking to optimize customer engagement and retention through timely insights.
Our existing data infrastructure cannot deliver real-time insights, resulting in delayed responses to market changes and customer needs.
With increasing competition, companies are eager to invest in solutions that provide a competitive edge through better customer insights and faster decision-making.
Failure to solve this problem could lead to stagnant growth, increased churn rates, and a significant competitive disadvantage.
Current systems rely on batch processing, leading to outdated insights. Competitors are increasingly adopting real-time solutions, leaving companies relying on legacy systems behind.
The proposed solution offers seamless integration of cutting-edge technologies, ensuring real-time data processing and insights, unmatched by current alternatives in terms of speed and accuracy.
Our go-to-market strategy involves targeting mid-sized subscription businesses through direct sales and partnerships, emphasizing the ROI and competitive advantage of real-time analytics.