Monthly Workforce Planning Process Pays Off by Supporting Talent Strategy with Cost Reductions
公司规模
1,000+
地区
- America
国家
- United States
产品
- Visier
- Hyperion
技术栈
- Data-driven core
- High-end modeling tools
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 预测分析
适用行业
- 医疗保健和医院
- 生命科学
适用功能
- 商业运营
- 人力资源
用例
- 补货预测
服务
- 数据科学服务
- 培训
关于客户
The customer is an American biotechnology company that is at the forefront of science and research. They are dedicated to delivering life-changing products and require an accurate and efficient workforce planning methodology to ensure they have the right talent in the right place and at the right cost. The company has a comprehensive Talent Acquisition (TA) analytics team that has developed an end-to-end TA Operations strategy known as the Total Talent Solution (TTS). This strategy is data-driven and helps in driving the workforce plan and internal talent resourcing strategies. The company operates on a large scale, with a significant number of employees and various business initiatives such as mergers and acquisitions, product launches, and patent expirations.
挑战
To remain at the forefront of science and research, this American biotechnology company needed an accurate and efficient workforce planning methodology to ensure they have the right talent in the right place–and at the right cost–to deliver their life-changing products. The Talent Acquisition (TA) analytics team developed a comprehensive end-to-end TA Operations strategy known internally as the Total Talent Solution (TTS). This all-encompassing methodology is enabled by a data-driven core, drives the workforce plan and internal talent resourcing strategies, and keeps stakeholders at the forefront of their talent strategy. On a monthly basis, the team uses this model to conduct a turnover and growth analysis that is compiled into a scorecard report. A workforce plan is created in parallel, paying attention to anticipated headcount for the year, month over month headcount changes, and predictive model overlays, as well as business initiatives such as M&A, product launches, and patent expirations. These numbers are shared with HR business leaders and their respective Finance teams, who align on projections, identify challenges, and then recalibrate projected numbers for the planning process.
解决方案
The solution involved the implementation of the Total Talent Solution (TTS) methodology, which is a comprehensive end-to-end TA Operations strategy. This methodology is data-driven and helps in driving the workforce plan and internal talent resourcing strategies. The TA analytics team uses Visier and high-end modeling tools to project short-term (up to six months) critical positions against a rolling long-term three-year projection of headcount. They can thus plan for talent shortages by allocating the proper resourcing to support gaps in the model. The team leveraged the workforce planning process for the first half of 2019 to quickly identify an extra 380 headcount that was dispersed across the organization. This ability to preemptively identify and mitigate individual units at the cost center level, on a month-to-month basis, has proven to be a strategic driver for the company. Implementing the TTS methodology has led to a stronger partnership between all stakeholders in the process. Because Visier feeds the data back into Hyperion, the teams now operate under a single source of truth. HR leaders have been given extensive training on the new workforce planning process and Visier, improving their ability to have fact-based conversations with the highest levels of the business.
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
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.
