Endologix Drives Engagement, Reduces Time to Certification with Data-Driven Sales Enablement
公司规模
200-1,000
地区
- America
国家
- United States
产品
- MindTickle’s sales readiness solution
技术栈
- Mobile platform
- Learning Management System (LMS)
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 医疗保健和医院
适用功能
- 销售与市场营销
服务
- 培训
关于客户
Endologix is a global, public medical devices company that focuses on innovative, minimally invasive technologies for aortic disorders. The company has 150 sellers in its U.S. field organization, and over 550 employees worldwide. Endologix has built a commanding presence in an important sector of the medical devices sector. To remain competitive in a market dominated by large players, the company must ensure its sales teams are equipped to be nimble and adaptable to changes in messaging and the market. Endologix’s top priority is ensuring their reps have the right knowledge and skills to articulate complex product differentiators clearly and accurately.
挑战
Endologix, a global medical devices company, faced challenging market conditions that required highly focused sales training. The process of product knowledge certification was taking too long, delaying revenue. The company's sales enablement was limited, described as an 'army of one'. The company needed to leverage manager coaching to expand sales enablement’s reach. They also needed a better way to deliver content to their reps who are clinical specialists that practically live in hospitals, so they work off their iPads or cell phones.
解决方案
Endologix decided to mobilize content and drive engagement with data-driven sales enablement. They applied robust metrics to identify gaps in reps’ knowledge and skills and deployed an automated coaching platform to conduct, review and track sessions. The company introduced MindTickle as the single platform for learning and development during their national sales meeting. The event showcased a range of MindTickle capabilities, including assigning preparatory work, an attendance quiz, daily video recaps, and post-session polls. Endologix also revamped its ongoing product and therapy certification programs, moving much of the content over from a legacy learning management system (LMS).
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.
