公司规模
Large Corporate
地区
- Europe
国家
- Denmark
产品
- IBM Cognos TM1
技术栈
- IBM Cognos TM1
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 分析与建模 - 预测分析
用例
- 补货预测
服务
- 系统集成
- 培训
关于客户
丹麦商业管理局 Erhvervsstyrelsen 是一家为丹麦各地企业提供支持的政府机构。该机构在 27 个办事处开展 450 个项目,拥有 600 名员工,每年负责 6 亿丹麦克朗(8980 万美元)的预算以及多项国家和欧盟补助金。该组织致力于为欧洲的经济增长创造最佳条件,使在丹麦经商变得简单且具有吸引力,并提高丹麦在欧盟和国际上的竞争力。为了支持这些目标,该组织管理着大约 450 个不同的项目,旨在改善丹麦商业环境的各个方面,从简化法规到培养企业家精神。
挑战
Erhvervsstyrelsen 是丹麦商业管理局,为丹麦各地的企业提供支持。它在 27 个办事处开展 450 个项目,拥有 600 名员工,负责每年 6 亿丹麦克朗(8980 万美元)的预算以及多项国家和欧盟拨款。每个项目都管理自己的预算 - 但 Erhvervsstyrelsen 需要控制总体支出,向丹麦议会汇报,并展示其为纳税人的钱带来的价值。因此,对于该组织来说,拥有一个强大、可靠的预算流程非常重要。Erhvervsstyrelsen 由三个前机构合并而成,每个机构都有自己独立的预算系统。由于这些系统都无法适应新组织的需求,Erhvervsstyrelsen 建立了一个基于电子表格的新预算流程。此流程涉及向每个项目经理发送电子表格,并手动收集和合并他们发回的数据。
解决方案
经过严格的采购流程,Erhvervsstyrelsen 决定实施企业级财务规划和分析解决方案 - IBM® Cognos® TM1®,由 IBM 业务合作伙伴 Kapacity 实施。主要目标是选择一种可以自动处理数据收集和整合流程的解决方案,并消除依赖不安全、容易出错的电子表格的风险。当 Kapacity 展示 Cognos TM1 的功能时,Erhvervsstyrelsen 团队印象深刻 - 特别是因为它能够将其现有的预算流程映射到系统中,而不必引入全新的流程。Erhvervsstyrelsen 团队也对 Kapacity 顾问的技能和知识印象深刻,特别是在业务分析和商业智能领域。该项目涉及的不仅仅是技术实施:帮助用户适应新系统也很重要。用户需要一些时间才能从熟悉的基于电子表格的流程适应新界面。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Blue Bottle Coffee Enhances Ordering Accuracy and Reduces Waste with ML-Driven Demand Forecasting
Blue Bottle Coffee (BBC), a global coffee roaster and retailer, faced a significant challenge in managing the supply of pastries across its international network of cafes. The company was using a manual ordering system, where cafe leaders estimated the required quantity of pastries based on historical sales data, current inventory, and growth projections. This system was effective when BBC had a few cafes, but with over 70 cafes worldwide, it became inefficient and inaccurate. The inaccuracies led to either under-ordering, causing sell-outs and customer dissatisfaction, or over-ordering, resulting in food waste and profit loss. The suboptimal utilization of pastries was also affecting BBC's bottom line. Therefore, BBC needed a scalable, precise, and predictive ordering solution to improve pastry ordering accuracy, reduce food waste, and meet its sustainability goals.
Case Study
Designing an intuitive UI for effective product demand forecasting in retail
The client, a leading luxury store chain operating in over 100 countries, was facing challenges with their product demand forecasting process. The process involved a significant amount of manual work, with all sales-related data being kept in Excel tables and calculated manually. The client's merchandising and planning experts used a demand forecasting web application to make estimations of customer demand over a specific period of time. The solution calculated historical data and other analytical information to produce the most accurate predictions. However, the client wanted to improve the efficiency and effectiveness of this process, making it faster, more accurate, and less complicated for their employees. They sought to unify all processes under an intuitive UI.
Case Study
YAZAKI Europe Limited: Ensuring rapid, cost-efficient order fulfillment and quicker insights into business performance
YAZAKI Europe, a leading automotive supplier specializing in the production of customized wiring harnesses for car manufacturers, was facing challenges in meeting the automotive industry’s demand for same-day delivery. The company's continuous growth was impacting its ability to analyze performance and complete its end-of-month consolidation and reporting processes for its headquarters in Japan. The company needed to eliminate delays and manual processing in its logistics to ensure extremely efficient operations. The company also needed to boost its data analytics capabilities for its finance and controlling departments to accelerate the delivery of complex financial reports.
Case Study
How the Philadelphia 76ers Win Off the Court Using Machine Learning from DataRobot
The Philadelphia 76ers, a professional basketball team in the NBA, is part of a new wave of sports franchises that are leveraging data analytics to optimize both their on-court performance and business operations. The organization has a strong focus on using data to inform decision-making processes across all levels. One of the key challenges faced by the 76ers' Analytics Team was improving the efficiency of their season ticket renewal process. The team had been using data science and simple modeling techniques, but lacked a dynamic machine learning tool that could adapt and learn as more data was collected. This meant that the team had to do a lot of work in the offseason to produce a static model. The goal was to transform the renewal process from a once-a-year event into a year-round retention process.
Case Study
Getin Noble Bank S.A. Personalizing offers to meet customers’ specific banking needs raises savings deposits by 20 percent
Getin Noble Bank S.A. experienced several years of rapid growth, at twice the pace of the rest of the Polish banking sector. As the market became saturated, customers demanded a higher level of service. To create tailored product offers to meet their needs, the bank needed a more efficient and automated method of customer segmentation. It also wanted to develop effective campaigns with repeatable and predictable results.
Case Study
Milgard: Predicting sales with precision to drive swift, efficient production
Milgard Manufacturing, Inc., a leading producer of windows and patio doors, operates on a demand-driven manufacturing model to avoid overstocking issues. This approach requires the company to predict sales extremely accurately to ensure it has the resources needed to fill incoming customer orders quickly. Sales of windows are influenced by various factors, including housing market fluctuations and regional preferences. Therefore, Milgard needs to ensure that its annual budgets and forecasts accurately reflect the impact of these factors. The company's inflexible approach to planning threatened to hamper business agility, prompting it to seek a better solution.