BITMARCK Uses Qlik Replicate™ (formerly Attunity Replicate) and Microsoft SQL Server to Streamline Data Integration and Enable Self-Service, Real-time Business Intelligence for Customers
公司规模
Large Corporate
地区
- Europe
国家
- Germany
产品
- Qlik Replicate
- Microsoft SQL Server
技术栈
- Data Replication
- Data Warehousing
- Business Intelligence
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 数据即服务
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 医疗保健和医院
适用功能
- 商业运营
用例
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 数据科学服务
- 系统集成
关于客户
BITMARCK is the largest full-service provider in the German IT market for statutory health insurance. It has over 1,400 employees and a turnover of around €260 million. The company provides IT services for around 100 public health insurance companies, as well as for the German healthcare system (DAK-Gesundheit) and other replacement funds and insurance companies that cover approximately 26 million people. BITMARCK’s services include server hosting, business intelligence, data mining, reporting, and more. Its customers rely on business intelligence and analytics to predict future cash flow, calculate patient risk, analyze financial information, and more.
挑战
BITMARCK, the largest full-service provider in the German IT market for statutory health insurance, needed to streamline data integration and enable self-service, real-time business intelligence for its customers. The public health insurance companies use information to measure customer retention and turnover, generate financial reports, manage cash flow, and estimate risk. To support customers’ business intelligence and analytics initiatives, the BITMARCK team routinely had to gather data from several different technical sources and move it into a central target. These data sources ranged from IBM DB2 to MySQL, Microsoft SQL Server, and Informix. BITMARCK had been using IBM Q Replication, but this solution only supported replication between DB2 sources and targets. To replicate data to other sources, the BITMARCK team had to do lots of SQL scripting or use proprietary programs.
解决方案
BITMARCK began evaluating how to implement a single data warehouse which would be supported by a consistent approach to data integration. The team engaged in a three-step process: They evaluated the target database system for the new data warehouse solution. The team asked customers how they wanted to use and analyze the data. This helped determine whether or not live reporting was needed. They examined the data warehouse system and data integration solutions. BITMARCK settled on Microsoft SQL Server as the platform for the data warehouse. For replication, the team considered several options: Qlik Replicate, IBM Q Replication, InfoSphere Data Replication, and tcVISION. The latter three weren’t ideal due to their cost, lack of support for all databases, and lack of support for different variants of Microsoft SQL Server. Qlik Replicate was attractive due to its ease of use, database support, customer support provided during testing, and affordability.
运营影响
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.