HealthcareMetadata

Toreo Data integrates SAP Business Objects with Tableau so end users can easily access and analyze data.

SAP business objects as data source

The only way I know for sure you can connect Business Objects and Webi is using their products.

The choice between deploying relational tables or OLAP cubes is not a trivial matter. Weigh these 34 pros and cons of each approach early in the design of your extract-transform-load system.

A data dictionary, or metadata repository, as defined in the IBM Dictionary of Computing, is a "centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format."[1]

“Master Data is your business critical data that is stored in disparate systems spread across your Enterprise.”

Parties: represents all parties the enterprise conducts business with such as customers, prospects, individuals, suppliers, partners, etc. Places: represents the physical places and their segmentations such as geographies, locations, subsidiaries, sites, areas, zones, etc. Things: usually represents what the enterprise actually sells such as products, services, packages, items, financial services, etc. Financial and Organizational: represents all roll-up hierarchies used in many places for reporting and accounting purposes such as organization structures, sales territories, chart of accounts, cost centers, business units, profit centers, price lists, etc.

Transactional Data such as purchase orders, invoices or financial statements, is not usually considered master data since it actually registers a “fact” that happened at a certain point in time.

The logical data model includes the following entities: ■ Reference Entities ■ Lookup Entities ■ Base Entities ■ Derived Entities ■ Aggregate Entities

Data in the base entities support the derived and aggregate layers to facilitate Star and population, and act as a source for Data Mining for advanced analysis.

Data models are often used as an aid to communication between the business people defining the requirements for a computer system and the technical people defining the design in response to those requirements. They are used to show the data needed and created by business processes.

A data model explicitly determines the structure of data. Data models are specified in a data modeling notation, which is often graphical in form.[3]

This offering is a complete analytics platform that combines market-leading data integration, data management, and business intelligence (BI) products, pre-certified to run together – for a more effective way to harness big data.

zed Analytics Server Analyze massive quantities of data 100 times faster than traditional relational databases – for more accurate insight into performance and market dynamics. Run big data analytics with unsurpassed query performance – for faster decision making Uncover new ways to reduce overhead, storage costs, and maintenance spend Offer accurate, timely information to end users across the organization Gain greater scalability with an open, flexible, column-based architecture SAP Sybase IQ .multilinkwidget a.btn-doc{ padding-bottom:10px; } $(document).ready(function(){ setTimeout(function() { if($("td em button.x-btn-text", $("tr.x-toolbar-left-row")).length > 0) $("td em button.x-btn-text", $("tr.x-toolbar-left-row")).each(function() { if($(this).html()== 'Edit' && $("td em button.x-btn-text", $(this).parents("td.x-toolbar-cell").next()).html() == 'Manage Links'){ $(this).parent().parent().parent().parent().remove(); } }); },3000); }); Less Business Intelligence Platform Make it easy to discover and share insight with a business intelligence platform that gives you flexibility, scalability, and function. Increase the range of data accessible to business users Reduce IT workload with simplified maintenance and administration options Integrate all enterprise data regardless of format or location Centrally manage, control, and configure your BI deployment SAP BusinessObjects BI Platform .multilinkwidget a.btn-doc{ padding-bottom:10px; } $(document).ready(function(){ setTimeout(function() { if($("td em button.x-btn-text", $("tr.x-toolbar-left-row")).length > 0) $("td em button.x-btn-text", $("tr.x-toolbar-left-row")).each(function() { if($(this).html()== 'Edit' && $("td em button.x-btn-text", $(this).parents("td.x-toolbar-cell").next()).html() == 'Manage Links'){ $(this).parent().parent().parent().parent().remove(); } }); },3000); }); Less $(document).ready(function() { // Expand all content by default // $('.rmuc_expandableLI').each(function () { $(this).css('height', 'auto'); }); });

Highly Optimized Analytics Server Analyze massive quantities of data 100 times faster than traditional relational databases – for more accurate insight into performance and market dynamics.

Disease or patient registries are collections of secondary data related to patients with a specific diagnosis, condition, or procedure

from simple spreadsheets that only can be accessed by a small group of physicians to very complex databases that are accessed online across multiple institutions.

An electronic medical record keeps track of all the patients a doctor follows but a registry only keeps track of a small sub population of patients with a specific condition.