Turning 12 hours of error prone data processing to 41 minutes of accuracy
Product
- Salesforce
- CloverDX
Tech Stack
- ETL software
- Data Integration
- API
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Data-as-a-Service
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
- Predictive Replenishment
Services
- Data Science Services
- System Integration
About The Customer
The customer is a financial services company that has been growing through competitor acquisition. They have developed their own information platform, built on Salesforce, to suck data in from many sources and provide a unified 360° view of the customer to present to their advisers. This platform can now be custom-tuned for any financial advisory practice to connect to. The company has a new business model that hinges on the ability to process data quickly and deliver it, error free, into Salesforce. They are looking to accelerate growth further by turning competitors into customers, by offering access to a suite of client facing financial tools.
The Challenge
The company had been growing through competitor acquisition and had developed an in-house solution to run daily data feeds into Salesforce. However, with tens of millions of records being processed daily, the time needed to load them was getting longer, peaking at 12 hours. This meant the necessary daily updates could no longer be guaranteed. In addition, errors in loading the data into Salesforce, sometimes by as much as 50%, resulted in another day’s (lost) productivity dedicated to fixing the problems. As a result, the financial advisors relying on the data were potentially working with information that was up-to two days old. The company needed a solution that could process data quickly and deliver it, error free, into Salesforce.
The Solution
The company decided to find an ETL software solution that could help solve the problem as quickly as possible. They chose CloverDX, which helped them overcome the challenges of loading large batches of data into Salesforce, which had previously resulted in errors and long processing times. CloverDX also provided a robust and well-defined data validation process. The company's engineers made the switch from running their old home-made code to using CloverDX and have never looked back. They are now able to pull data multiple times a day from different sources, and bi-directionally with some providers.
Operational Impact
Quantitative Benefit
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