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Untitled's Data Centralization and Efficiency Enhancement with Powered by Fivetran
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Retail
Applicable Functions
- Sales & Marketing
Use Cases
- Building Automation & Control
Services
- System Integration
The Challenge
Untitled is a company that is building a platform to help its clients leverage data across departments. The company's data products enable non-technical staff to derive key insights, leading to increased revenue, decreased operating costs, and the development of sophisticated AI and ML capabilities. However, the traditional process of building data pipelines, which is crucial for transferring data from one point to another, was proving to be a significant challenge. This process was time-consuming, accounting for as much as 44% of data engineers’ time, and was hindering the rapid development of their platform.
About The Customer
Untitled's customers include businesses like Delta Dental and Papa John’s. These customers use Untitled's platform to answer important business questions such as the ROI of advertising dollars, predicting customer churn, the effectiveness of customer service and support operations, the profitability of sales channels, and the characteristics of best-performing employees. The platform allows users with little to no technical expertise to mine for insights that would typically only be findable by a data scientist. This enables clients to do more with fewer resources, making it possible to scale.
The Solution
To overcome this challenge, Untitled adopted Powered by Fivetran (PBF), an automated data integration solution. PBF allows end-users to connect their data to an analytic application or portal independently. It also includes all the perks found in standard Fivetran, including 180+ pre-built and fully managed connectors for a wide variety of data sources. This solution enabled Untitled’s team to quickly spin up prototypes of new features and move them to beta testing without tying up its engineers or worrying about data integration work. The company could focus on building dashboards and reports from customer-owned data sources with minimal coding and engineering overhead.
Operational Impact
Quantitative Benefit
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