Solution Paper
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Case Study
The Cancer Council Victoria use our solutions to answer commonly asked question. Users can easily answer questions like "How does the rate of lung cancer compare between men and women?"
Rich data experiences
Data as a service
To ensure users have positive and rich data experiences, organizations must provide high-speed, self-service data solutions via the Web. They can do this by either creating a new online data analytics and visualization service, or by integrating with and enhancing existing services. These services then manage how users access data, which can be anything from viewing canned reports (with limited user interaction) to building in-depth queries (including with data confidentiality controls, thematic mapping, and interactive data displays).
An example of a self-service data experience is shown in the Cancer Council Victoria (CCV) image below. The CCV is a non-profit organization involved in cancer research and cancer support, prevention and advocacy. They publish cancer incidence and mortality information to help improve cancer prevention, control, and treatment. Their users come from a broad range of communities and have very different levels of computing skills, analytical skills, and analytical requirements. At this website, users can easily and quickly obtain answers to their ad hoc questions, allowing analysts to answer the more complex inquiries and focus on their other core duties.
Efficiency and cost
With users efficiently finding data themselves comes a reduction in the number of calls for ad hoc data requests. And there is no need to create and publish cubes, tables, or PDFs. This frees up time for analysts, researchers, and other staff to do other tasks.
Increased revenue
Online services create an opportunity for subscription revenue, and can open up new business opportunities. For organizations generating revenue, faster reporting and flexibility (metadata vs cubes) provides the ability to analyze trends and make faster decisions on revenue-generating activities.
Data integrity
Keep tight control of access to your sensitive data using minimal effort. Select from a number of methods or combines several methods to protect data. No individual can ever be identified. Data includes metadata. Annotations ensure organizations meet duty of care responsibilities.
Responsiveness
Improve your internal and external users experiences by giving them fast access to data for reporting and/or ad hoc statistical analysis. For internal users, fast access enables more timely business decisions, even though they are performing queries and building data visualizations from all the available data.
Industry leadership and brand relevance
When users successfully engage with an organizations data, the organization’s credibility improves. Users get the experience they want, brand recognition improves, and organizations remain relevant in the fast-changing Web2.0 world.
Data challenges
Health organizations have many data-related challenges, some of which are to:
- be seen as a trustworthy source of accurate information
- provide users of varying analytical and computing skills with ‘self-service’ access to health information, from guided data analysis to the creation of ad hoc, multidimensional tables with thematic mapping and interactive data displays
- utilize Web2.0 technologies to create tools and services that meet users’ needs
- handle large raw datasets and give users access to as much information as possible
- handle data confidentiality controls;
- ensure security and privacy of information ensure data quality
- implement an online, self-service tools and services.
Engage your users and exceed their data expectations
Develop your tool or service using Space-Time Research’s SuperSTAR suite of products: SuperVIEW, SuperWEB or SuperCROSS.
SuperVIEW and SuperWEB, both Web applications, provide instant online access to health-related information. Users can choose the information they want to view, and then modify the visualization to suit their requirements. No programming is required.
SuperCROSS, a Windows client, serves the needs of high-end users such as analysts and senior researchers. It enables powerful, detailed analysis and reporting across multiple datasets and surveys. Authenticated users can also access record-level data.