Bjarne Berg and Ben Perego March 20 th, 2006 Decision Support - What is new? An overview presentation University of North Carolina at Charlotte

2 What We will cover Enterprise Decision Support Systems (DSS) Presentation Tool trends Building the Enterprise DSS

3 Source: SAP What Do Users Really Want?

The Target Enterprise Decision Support System Architecture Metadata Data Extraction Integration and Cleansing Processes Custom Developed Applications Data Mining Statistical Programs Query Access Tools Data Resource Management and Quality Assurance Summarized Data Segmented Data Subsets Functional Area Summation Marketing and Sales Purchasing Corporate Information Product Line Location Purchasing Systems Invoicing Systems General Ledger External Data Sources Other Internal Systems Translate Attribute Calculate Derive Summarize Synchronize Source DataExtract Operational Data Store Transform Data Warehouse Applications Source: Bjarne Berg, “Introduction to Data Warehousing”, Price Waterhouse Global System solution Center, 1997

5 New Trend - Standard Content “off-the-shelf” Companies are now buying “packaged” DSS from their ERP vendors. Since the software companies also built the transactions systems, they are in a good position to create the needed components of an enterprise decision support systems. An example from a large manufacturing company Source: SAP, Sdn BW 2005

6 All major ERP vendors have packaged DSS solutions SAP, Baan, PeopleSoft, Oracle, JD Edwards and others have all packaged Data warehouse solutions. This is commonly known as Business Intelligence (BI) products. There are many types of BI products: 1.Data Warehouses (DW) 2.Strategic Enterprise management (SEM) 1.Corporate Performance mgmt (CPM) 2.Business planning & simulation (BPS) 3.Business Consolidation services (BCS) 4.Stakeholder relationship mgmt (SRM) 3.Data Mining 4.Advanced Planning and Optimization (APO) 5.Supply Chain Event Manager (SCEM) 6.Customer Relationship Manager (CRM) The data warehouse is the source of the data for all these integrated analytical applications (iAnalytics)

7 Enterprise Decision Support Systems – Example: SAP Source: SAP AG 2004

8 Level of Pre-delivered Content Toolsets & accelerators Analytical applications for specific industries Level of Embedded Analytics Complex (score cards, budgeting, planning, KPI) Interactive Mgmt. reporting (OLAP, MQE) Evolution of Enterprise Decision Support Systems Emerging (1st generation) Vertical approach (2nd generation) Horizontal approach (2nd generation) Integrated analytical (3rd generation) Source: Mike Schroeck, David Zinn and Bjarne Berg, “Integrated Analytics – Getting Increased Value from Enterprise Resource Planning Systems”, Data Management Review, May, 2002; Adapted: Bjarne Berg “How to Manage a BW Project”, BW & Portals Conference, 2004, Orlando

9 What We will cover Enterprise Decision Support Systems (DSS) Presentation Tool trends Building the Enterprise DSS

10 New trend – Users are more sophisticated and OLAP is everywhere Statistical software and On-line Analytical processing (OLAP) tools are becoming a “must-have” technology. Increased information needs (less data) leads to adaptation of more sophisticated DSS tools

11 What We will cover Enterprise Decision Support Systems (DSS) Presentation Tool trends Building the Enterprise DSS

12 New trend – Data hubs for moving data – no code Tools such as MicroSoft’s BizTalk, SAP’s Exchange Infrastructure (XI), and the Informatica tool suite is replacing old stand- alone programs for data movement Due to new tools, a typical DSS project will spend only 30-50% of project effort will be spent on data integration (previously it was much higher). Source: Bjarne Berg, “An A to Z Guide in Managing SAP NetWeaver Projects” - SAP NetWeaver and Portals Conference, March. 2006, Las Vegas

13 New Trend – building DSS using Extreme Programming as a methodology. Source: Bjarne Berg, “How to pick JAD, RAD, XP or a SDLC Methodology for your project“, Nov. 2005,

14 New Trends - Web cockpits and Dashboards Web cockpits and dashboards are no longer “sci-fi”. Technology has led to better integrated decision support systems and the scale of companies now makes it cost effective to implement these tools.

15 New trends – more Data Visualization Due to high volumes of data, the user need visualized information that can be accessed and explored in a non-numerical presentation format. New tools are addressing these needs and providing built-in interactivity.

16 New trends – exception reporting using Broadcaster Tools No more “pulling” of reports. Now users can set up exceptions to “business as usual” and see the exceptions without having to log-on Flat Reporting Formatted Formatted Print Print Form based Form based Static Static Predictable access Predictable access OLAP Reporting Drill Down Drill Down Slice and Dice Slice and Dice Analyse Analyse Data Mining Data Mining Search and discover Search and discover KPI & Scorecard Formatted Simple Simple Easy to view Easy to view Limited nav Limited nav Aggregates Aggregates Reporting needs

17 What are some possible advantages of "packaged" DSS? Can you think of any disadvantages

18 Have you experienced the effects of dashboard-based decision-making in your company?

19 How might this access to real-time information change the behavior of managers, workers? ….For better or worse?

20 Your Turn!!!