Download PDF
Qlikview Helps Advantage Pharmacy Group Develop New Lines of Business
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Pharmaceuticals
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Predictive Quality Analytics
- Supply Chain Visibility
Services
- Data Science Services
The Challenge
Advantage Pharmacy Group, a successful business in the crowded and competitive market, has always believed in the importance of centralized infrastructure and services. The group manages systems like loyalty and marketing services, group ordering and warehousing, and an enterprise resource planning (ERP) system to manage financial services. However, they were missing a business discovery solution to ease the task of accessing, reporting, and analyzing data across all systems. They considered Microsoft SQL Reporting Services but found it limited and costly. They needed a solution that would unify the data for analysis, provide services to their franchisees, and bring together many disparate data sources in a single meaningful report.
About The Customer
Advantage Pharmacy Group was established 20 years ago by two business owners in Melbourne, Australia. Since then, it has expanded through 13 business partners and includes 23 wholly-owned pharmacies in Victoria state, and another 27 franchised stores across Australia. The group turnover is around USD $105 million annually and employs 540 staff. The group has always believed in the importance of centralized infrastructure and services. They manage systems like loyalty and marketing services, group ordering and warehousing, and an enterprise resource planning (ERP) system to manage financial services. They have always invested time and money into creating systems and services at the head office and making them available to the pharmacies.
The Solution
The group's IT partner, Professional Advantage, recommended QlikView, a business discovery solution used extensively in local and global environments. They built a proof of concept demonstrating exactly how to unify the data for analysis. Pleased with the results, Advantage Pharmacy gave the project the go ahead. QlikView was initially made available to a limited number of managers. This gave the organization time to test the new system and review the reports to ensure relevant, useful content. After three months, Advantage Pharmacy Group rolled out the system to a wider audience. In mid-2012, the group purchased a further set of licenses ensuring that QlikView was in all its stores. Today, QlikView is used widely for various purposes such as providing data about key performance indicators, providing customer relationship management functionality, and analyzing stock, sales, margins, and store performance.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Case Study: Pfizer
Pfizer’s high-performance computing software and systems for worldwide research and development support large-scale data analysis, research projects, clinical analytics, and modeling. Pfizer’s computing services are used across the spectrum of research and development efforts, from the deep biological understanding of disease to the design of safe, efficacious therapeutic agents.
Case Study
Fusion Middleware Integration on Cloud for Pharma Major
Customer wanted a real-time, seamless, cloud based integration between the existing on premise and cloud based application using SOA technology on Oracle Fusion Middleware Platform, a Contingent Worker Solution to collect, track, manage and report information for on-boarding, maintenance and off-boarding of contingent workers using a streamlined and Integrated business process, and streamlining of integration to the back-end systems and multiple SaaS applications.
Case Study
Process Control System Support
In many automated production facilities, changes are made to SIMATIC PCS 7 projects on a daily basis, with individual processes often optimised by multiple workers due to shift changes. Documentation is key here, as this keeps workers informed about why a change was made. Furthermore, SIMATIC PCS 7 installations are generally used in locations where documentation is required for audits and certification. The ability to track changes between two software projects is not only an invaluable aid during shift changes, but also when searching for errors or optimising a PCS 7 installation. Every change made to the system is labour-intensive and time-consuming. Moreover, there is also the risk that errors may occur. If a change is saved in the project, then the old version is lost unless a backup copy was created in advance. If no backup was created, it will no longer be possible to return to the previous state if and when programming errors occur. Each backup denotes a version used by the SIMATIC PCS 7 system to operate an installation. To correctly interpret a version, information is required on WHO changed WHAT, WHERE, WHEN and WHY: - Who created the version/who is responsible for the version? - Who released the version? - What was changed in the version i.e. in which block or module of the SIMATIC PCS 7 installation were the changes made? - When was the version created? Is this the latest version or is there a more recent version? - Why were the changes made to the version? If they are part of a regular maintenance cycle, then is the aim to fix an error or to improve production processes? - Is this particular version also the version currently being used in production? The fact that SIMATIC PCS 7 projects use extremely large quantities of data complicates the situation even further, and it can take a long time to load and save information as a result. Without a sustainable strategy for operating a SIMATIC PCS 7 installation, searching for the right software version can become extremely time-consuming and the installation may run inefficiently as a result.
Case Study
Drug Maker Takes the Right Prescription
China Pharm decided to build a cloud-based platform to support the requirements of IT planning for the next five to ten years which includes a dynamic and scalable mail resource pool platform. The platform needed to have the following functions: all nodes support redundancy, ensuring service continuity and good user experience, simple and easy-to-use user interfaces for end users and administrators and good compatibility and supports smooth capacity expansion.
Case Study
ELI LILLY ADOPTS MICROMEDIA’S ALERT NOTIFICATION SYSTEM
Pharmaceutical production is subject to a strict set of enforced rules that must be adhered to and compliance to these standards is critically necessary. Due to the efforts of WIN 911’s strategic partner Micromedia, Lilly was able to adopt an alarm notification infrastructure that integrated smoothly with their existing workflows and emergency hardware and protocols. These raw energy sources enable the industrial process to function: electricity, WIN-911 Software | 4020 South Industrial Drive, Suite 120 | Austin, TX 78744 USA industrial steam, iced water, air mixtures of varying quality. Refrigeration towers, boilers and wastewater are monitored by ALERT. Eli Lilly identified 15000 potential variables, but limitations compelled them to chisel the variable list down to 300. This allowed all major alarms to be covered including pressure, discharge, quantity of waste water discharged,temperature, carbon dioxide content, oxygen & sulphur content, and the water’s pH.