BUSINESS ANALYTICS UNVEILED Presented By Thomas Wong Chief Operating Officer Cetheus MSC Berhad
Presentation Agenda What is driving analytic applications? Why enterprise analytic applications? Cetheus analytic applications Cetheus company profile
Market Evolution From tactical to strategic to mission critical Performance Management Collaborative Intelligence Management Analytic Applications Web Based BI Integrated Query, Reporting and OLAP End to End BI BI Extranets Client/Server Query and Reporting 1990 1995 2000 2005
What is an Analytic Application Software product designed to solve a specific business problem Provides Expertise in analysis and presentation Expertise in a business domain or function Rapid ROI up and running quickly Includes Business Process Support Pre-built metrics & analysis reports Pre-built data model
Market Drivers for Analytic Applications Economic pressures to make better decisions Rise of business intelligence to strategic importance Companies want to ensure they are asking the right questions Drive to manage organizations more holistically Need to work more closely with partners, suppliers, and customers Company mergers and acquisitions Large number of disparate operational and legacy applications Push for ROI on existing investment A need for infrastructure standardization Reduced IT spending and budgets A need to respond faster to changes in business environment Intense competitive pressure Globalization impact on economy New technology
User Drivers for Analytic Applications Management ROI across the enterprise One version of truth across the enterprise Corporate performance management Enhanced revenue, market share, larger margins Business User Want guidance on best practices Pre-build metrics, KPIs, and analytics with enterprise scope Dashboards, business rules, alerts, and short data latency IT Rapid deployment, low TCO, and ROI Packaged solutions ROI on existing operational applications investment Drive to standardize
The Analytic Applications Market Analytic Solutions Market Growth Analysis $B 14 12 10 8 6 4 2 0 2000 2005 Build Buy Source: IDC 2003. Build = worldwide DW tools. Buy = worldwide packaged analytic applications.
Analytic Applications Objectives Challenge Gaining one integrated enterprise view that leverages industry best practices in each functional area is costly and time consuming Vision Provide a suite of enterprise analytic applications that provides packaged best practice analysis of customers, products, the supply chain, employees, and finance Benefits Accelerated time to business insight Standardize on industry best practice data and business definitions Gain one integrated version of the truth across the enterprise Build and buy flexibility
Analytic Applications Benefits Analytic applications are a key component of an enterprise performance management strategy Analytic applications are the evolution of BI Packaged means more than just reports built by industry experts We have already built analytics for many of your business questions helping you get to the Why Can t package everything hence build and buy To gain one version of the truth To fully leverage your ERP/SCM/CRM systems Fast time to implementation and business value
Presentation Agenda What is driving analytic applications? Why enterprise analytic applications? Cetheus analytic applications Cetheus company profile
Business Users Frustration With BI Today I can t find the report I need Surely someone s done this before? Am I asking all the right questions? I want to get to the why I don t understand the report I want to see what s relevant for me My numbers are different than Joe s I can t answer these questions I need to get these answers now Which products are my top customers buying less of?
DW Success Rates Research shows that many DW projects do not achieve targeted results! Typical approach that is prone to fail: Start by looking for application data to source a DW Move as much transactional data as possible into a warehouse database Purchase a relational reporting or query tool Send users to training
Information vs. Data Data raw facts that have been collected, processed, stored, but not organized to convey meaning. Information a collection of data organized in a manner to be meaningful to a recipient. Knowledge information combined with understanding, experience, accumulated learning, and expertise relevant to a problem, decision, or process. Big Difference between Data and Information
DW Casual User vs. Power User Different audiences with different: Information needs Analytical capabilities Technical aptitudes and skills Level of understanding of application data Time constraints 80% 90% of information consumers are casual users Need to consider both in technology decisions
Critical Success Factors in Delivering Self Service Information & Analytics 1. Address both Power Users and Casual Users 2. Focus on Information Incorporate a Dimensional Data Model Recognize the need for Data Transformation and Derivation 3. Utilize a combination of relational and OLAP technology (relational technology alone will not meet the needs) 4. Target a quick high value success, instead of trying to provide every bit of data that someone could possibly request (80/20 rule) 5. Implement an Analytical Application instead of deploying query tools
Why an Analytical Application? Definition domain-specific solution that enables users to access, analyze, and act upon information in the context of business or management processes [by TDWI] Casual Users majority of information users (80 90 %) are casual users who will have difficulty mastering a reporting tool. An Analytical Application will be more effective and be more highly utilized Hide Database Complexity most reporting tools require the user to understand the reporting database content and relationships. An analytical application enables casual users to get information without understanding the underlying database and functionality of reporting tools
Why an Analytical Application? Guided Analysis an application framework provides the opportunity to guide users through an embedded analytical process and better leverage the metrics and analytical capabilities inherent in the solution Personalization provide users with the ability to personalize their content and interface Custom Analytical Functionality enables customized application functionality to be integrated with reporting and analysis (e.g., Student Peer Group Analysis)
Presentation Agenda What is driving analytic applications? Why enterprise analytic applications? Cetheus analytic applications Cetheus company profile
Cetheus Analytic Applications Five parts of our analytic applications platform RPM Balanced Scorecard / KPI Scorecard Radius Analytic Applications Analytic Tools Dimensional Framework Data Integration
Cetheus Analytic Applications
Cetheus Analytic Applications
Cetheus Analytic Applications
Cetheus Analytic Applications
Cetheus Analytic Applications
Cetheus Analytic Applications
Presentation Agenda What is driving analytic applications? Why enterprise analytic applications? Cetheus analytic applications Cetheus company profile
Cetheus Corporate Profile Cetheus Sdn Bhd was established in October 2000 as Business Intelligence Solutions Provider Cetheus was awarded with MSC status in June 2004 Cetheus MSC Sdn Bhd (656711-U) was incorporated in July 2004 in accordance to MDC regulations and undertake all business transactions and R&D initiatives from Cetheus Sdn Bhd Within 5 years of operations, Cetheus MSC Sdn Bhd has emerged as one of the key implementers for Business Intelligence-related solutions and Business Performance Management software vendor in the country
Cetheus Corporate Profile
Customer References Over 300 customers nationwide across industries (direct and channel)
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