This blog discusses the challenges faced by any software development company in gaining a comprehensive understanding of customer behaviors and desires. One of the major software development companies had customer data scattered across multiple systems, resulting in limited actionable insights and difficulties in providing a consistent customer experience. To address this, the company embarked on building a scalable and flexible Customer 360 solution.
The post highlights the need for a consolidated Customer 360 repository accessible to different roles within the company. The existing data infrastructure posed challenges such as inconsistent customer engagement, manual data connection across systems, and lack of cross-customer analytics. The company aimed to improve sales productivity and gain insights into product efficiency and future direction.
To address these challenges, the company initially built an ETL framework to move data from multiple sources into a target repository. However, this approach had limitations in terms of flexibility, adaptability to new data sources, and data quality. They then discovered Dataworkz, a SaaS service that simplified the data management stack and provided advantages such as data governance, processing, quality, lineage, and no-code data pipelines.
The combination of Dataworkz and Couchbase Capella (the company’s chosen database) accelerated the project cycle and enabled the creation of a fully functional Customer 360 application and data pipeline in just three months. The post also mentions the future integration of ML and AI into the business process using Dataworkz’s capabilities and daily snapshots from different source applications.
The blog concludes by highlighting the partnership between Dataworkz and Couchbase and encourages readers to explore their offerings for better customer understanding and analytics.
Complete blog can be viewed at https://www.couchbase.com/blog/dataworkz-accelerates-customer-360-adoption-with-couchbase-capella/