Better Infrastructure Built on a Faster, Smarter Financial Close
公司规模
1,000+
地区
- America
国家
- United States
产品
- Microsoft Great Plains (MS GP)
- Vena
技术栈
- OLAP database
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 数据管理平台
适用功能
- 商业运营
服务
- 软件设计与工程服务
- 系统集成
关于客户
Capstone Infrastructure is an independent power producer focused on clean, renewable energy. The company generates revenue of $138.4 million and is committed to providing sustainable energy solutions. Capstone Infrastructure operates in the energy industry and has a significant focus on financial processes, including financial close, reporting, and account reconciliation. The company was using Microsoft Great Plains (MS GP) as its existing software for managing these processes. However, the manual nature of their month-end close process was becoming a bottleneck, leading to inefficiencies and potential inaccuracies in their financial reporting.
挑战
The month-end close process at Capstone Infrastructure was plagued by manual data collection and reconciliation against printed spreadsheets. This manual data entry and consolidation were becoming increasingly time-consuming and error-prone. The overall process lacked version control, an audit trail, and data accuracy and integrity, making it difficult for the company to ensure reliable financial reporting. The inefficiencies in the process were causing delays and increasing the risk of errors, which could have significant financial implications for the company.
解决方案
Capstone Infrastructure implemented the Vena solution to address the challenges in their month-end close process. The entire process was run through an OLAP database, providing a single source of truth for all financial data. This centralized data approach eliminated issues related to version control, data accuracy, and integrity. With real-time visibility into the data, teams across the business could ensure they were always looking at the correct information. The Vena solution streamlined the month-end close process, making it faster, more accurate, and efficient. By automating data collection and reconciliation, the company significantly reduced the time and effort required for these tasks.
运营影响
数量效益
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