Pitney Bowes Accelerates Growth and Innovation with SnapLogic and Snowflake Integration
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- SnapLogic
- Snowflake
- Amazon S3
Tech Stack
- SnapLogic
- Snowflake
- Amazon S3
- REST
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
- Infrastructure as a Service (IaaS) - Cloud Databases
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Machine Condition Monitoring
- Predictive Maintenance
Services
- System Integration
- Cloud Planning, Design & Implementation Services
About The Customer
Pitney Bowes, known as the Craftsmen of Commerce, has a long history of innovation in the commerce sector, from launching the Model M Postage Meter in the 1920s to introducing cross-border solutions. The company relies heavily on data to make precise business decisions and continues to set new records in commerce. With a focus on digital transformation, Pitney Bowes aims to provide frequent data access to stakeholders to uncover new opportunities and drive business growth. The company has a diverse range of departments and business units, with over 500 users supported by their data integration platform. Pitney Bowes processes over 900 billion documents annually and connects more than 25 business applications to their cloud data warehouse and data lake.
The Challenge
In 2015, Pitney Bowes embarked on a digital transformation journey to provide frequent data access to stakeholders, aiming to uncover new opportunities and drive business growth. Previously, data used by employees across departments would become stale once downloaded onto local machines, making timely business decisions challenging. The Big Data team needed to store and back up data from disparate sources on a data lake and host curated data in a cloud data warehouse for direct user access. Initially, they built a home-grown integration tool to move data from on-premises and cloud sources into the data lake on Amazon S3. However, this tool could not support integrations for many new cloud-native applications, leading to time-consuming custom coding and workarounds. The team had to re-evaluate their strategy for moving data from cloud applications into their data lake long-term, as they were not scaled to support the business strategy at the required pace.
The Solution
Pitney Bowes sought an enterprise-grade data integration platform and cloud data warehouse to support their digital transformation. They evaluated integration tools based on their ability to support existing on-premises and cloud application integrations, load and update large volumes of data at the required frequency, and require minimal maintenance. After meticulous evaluation, they chose SnapLogic, an enterprise integration platform as a service (iPaaS), which proved capable of handling all integration use cases. SnapLogic sped up ETL/ELT processes and data and application integrations, connecting key endpoints like Salesforce, SAP HANA, MongoDB, Oracle, SQL Server, and MySQL into Amazon S3 using intelligent connectors. SnapLogic's REST connectors allowed for virtually any cloud application connection. For their enterprise cloud data warehouse, Pitney Bowes selected Snowflake, which easily integrated with SnapLogic and was cost-effective. Together, SnapLogic and Snowflake enabled the Big Data team to centralize data and provide users with real-time information access.
Operational Impact
Quantitative Benefit
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