Dr. Mark Massias Senior Sales Engineer InterSystems CAMTA 13 th November 2008

Agenda The evolution of Business Intelligence (BI) The evolution of Business Intelligence (BI) The need for embedded real-time BI The need for embedded real-time BI Overview of DeepSee Overview of DeepSee Demo Demo Q&A Q&A

A Brief History of Business Intelligence End-user Query And Reporting Executive Information Systems (EIS) 80’s-90’sEarly 90’s Online Analytical Processing (OLAP) Mid 90’s Data Warehousing (DW) Late 90’s Web Delivery Real-Time The Present

Shifting Application Value Automate, Monitor, Manage, Improve Business Process Automate Business Process

Flurry of BI Acquisitions Together, SAP and Business Objects intend to offer high-value solutions … designed to enable companies to strengthen decision processes, increase customer value and create sustainable competitive advantage through real-time, multi-dimensional business intelligence. SAP and Business Objects believe that customers will gain significant business benefits through the combination of new, innovative offerings of enterprise-wide business intelligence solutions along with embedded analytics in transactional applications.

Traditional BIDataWarehouseDataWarehouse BI Tools ETL “At a distance” from operational apps.

Embedded BI - DeepSee Delivered as part of application Delivered as part of application Much more end user focused – requires application knowledge, not data schema expertise Much more end user focused – requires application knowledge, not data schema expertise Predefined data model Predefined data model “Starter set” of queries, reports, graphs, dashboards “Starter set” of queries, reports, graphs, dashboards

Traditional vs Embedded BI Traditional BI Application ignorant Lagging data Long, expensive install Aimed at long-term improvements Embedded BI Application aware Current data Painless install Aimed at short- and long- term improvements

DeepSee Key CapabilitiesAnalyzerAnalyzer Explore and display data ArchitectArchitect Define data model DesignerDesigner Create dashboards ConnectorConnector Use external data

DeepSee Analyzer Point-and-click / drag-and-drop creation of pivot tables and graphs Point-and-click / drag-and-drop creation of pivot tables and graphs Dynamic drill down all the way to detail data Dynamic drill down all the way to detail data Designed for application-knowledgeable end user Designed for application-knowledgeable end user Output to screen, printer, Word, Excel, … Output to screen, printer, Word, Excel, …

DeepSee ArchitectIndices Data Model DetailData Define the data Define the data Dimensions & measures Dimensions & measures Computations & aggregations Computations & aggregations Meaningful names Meaningful names Organize into cubes / subject areas Organize into cubes / subject areas

DeepSee Designer Create dashboards with pivot tables, graphs, links, other UI components Create dashboards with pivot tables, graphs, links, other UI components Control flexibility available to end user, e.g. predefined filters Control flexibility available to end user, e.g. predefined filters To be embedded in applications To be embedded in applications

DeepSee ConnectorIndices Data Model NativeData Caché data accessed directly SnapshotData Rules ExternalData Import from text files, databases, … Import from text files, databases, … One time or scheduled / incremental One time or scheduled / incremental Ensemble only Ensemble only

Demo Call Centre Application Call Centre Application Analysis: Analysis: –DeepSee Analyzer Building the model: Building the model: –DeepSee Architect Dashboards: Dashboards: –DeepSee Designer  Real-Time

Summary DeepSee Provides Real-Time Embedded BI Capability DeepSee Provides Real-Time Embedded BI Capability It is built with Caché technology It is built with Caché technology It adds value to your Caché application It adds value to your Caché application Caché and Ensemble DS FT are available Caché and Ensemble DS FT are available –Call us if you need help

Questions? Thank you