This document provides an outline and overview of a presentation that evaluates and compares the business intelligence platform strategies and components of Microsoft, Hyperion, IBM, and Oracle. It introduces business intelligence and the key requirements of a BI platform. It then outlines and describes the platform strategies, partnerships, packaging and pricing of each vendor. It also provides high-level comparisons of the BI databases, OLAP, data mining, interfaces, and build and management capabilities between the four platforms.
The document outlines a training agenda for SAP BI-BO (Business Intelligence - Business Objects) over 14 units totaling approximately 34 hours. The training will cover SAP NetWeaver and BI fundamentals, data modeling, data acquisition from SAP and non-SAP systems, BI content management, query design, administration, process chains, performance optimization, and Business Objects products like Web Intelligence, Dashboards, Crystal Reports, and Universe Designer.
The document discusses the architecture of Oracle Business Intelligence (OBIEE). It describes the key components including the BI Server, BI Scheduler, Repository, and data sources. It explains how queries from clients are processed, cached, and passed to underlying databases. It also covers security approaches like data level security and object level security. Repository (.rpd) files are described as containing all metadata and security rules to define OBIEE solutions. Approaches to OLAP like ROLAP, MOLAP, and hybrid OLAP are also summarized.
Microsoft has partnered with oil and gas industry solution providers to address challenges in upstream operations, refining, regulatory compliance, project management, supply chain visibility, and retail. Microsoft provides cloud-based business solutions and support. It has also launched the Microsoft Upstream Reference Architecture initiative with over 35 industry partners to develop a common IT framework. Microsoft's annual Global Energy Forum is a major platform for the oil and gas community and technology providers to learn about new solutions. Microsoft InfoPath Form Services is part of SharePoint and allows integrating forms with workflows and SharePoint libraries, but its future roadmap is uncertain. While easy to use, InfoPath lacks a free form filler client.
This document summarizes a white paper on improving performance of Oracle Transactional Business Intelligence (OTBI) and Business Intelligence Cloud Connector (BICC). It provides recommendations on monitoring tools, report and dashboard design best practices, and query optimization techniques. These include using Usage Tracking to analyze queries, limiting data volumes retrieved from the database, employing filters and indexes, and optimizing cross-subject area and cross-report queries. The document also discusses diagnostic logs, temporary tablespace sizing, and issues to consider for specific functional areas like payroll.
The document provides an overview of Oracle's BI product OBIEE (Oracle Business Intelligence Enterprise Edition), formerly known as Siebel Analytics. It discusses Oracle's BI strategy and architecture, as well as key features of OBIEE configuration, development, and the 11g release. Links are provided for additional product details on Oracle's website.
Oracle BI Enterprise Edition is a business intelligence tool that allows organizations to collect, present, and deliver data to employees in easy-to-understand formats like tables and graphs. It enables better decision making and more efficient processes. Key capabilities include analyses, dashboards, filters, agents, conditions, actions, and scorecards. Users access Oracle BI EE through a web-based interface, signing in with credentials provided by their organization.
The document discusses Oracle's business intelligence cloud services, including Oracle Transactional Business Intelligence - Enterprise (OTBI-E) and Oracle BI Cloud Services (BICS). OTBI-E provides prebuilt analytics for lines of business deployed in the cloud. BICS is a platform as a service that provides a self-service business intelligence platform in the cloud with data loading and modeling capabilities. The services aim to empower lines of business with flexible analytics while maintaining control and security for IT.
Combining SAP Extended ECM and SAP DMS (Document Management System)Thomas Demmler
The Extended ECM Solution Accelerator for SAP DMS combines document management capabilities of SAP Document Management (SAP DMS) with Business Workspaces and Records Management delivered by OpenText Extended ECM for SAP Solutions.
This provides you state-of-the art document management, collaboration and records management capabilities tightly integrated with SAP DMS while at the same time providing an enterprise access to this content via productivity tools like Microsoft Windows, Microsoft Office, and Microsoft SharePoint.
The document outlines a training agenda for SAP BI-BO (Business Intelligence - Business Objects) over 14 units totaling approximately 34 hours. The training will cover SAP NetWeaver and BI fundamentals, data modeling, data acquisition from SAP and non-SAP systems, BI content management, query design, administration, process chains, performance optimization, and Business Objects products like Web Intelligence, Dashboards, Crystal Reports, and Universe Designer.
The document discusses the architecture of Oracle Business Intelligence (OBIEE). It describes the key components including the BI Server, BI Scheduler, Repository, and data sources. It explains how queries from clients are processed, cached, and passed to underlying databases. It also covers security approaches like data level security and object level security. Repository (.rpd) files are described as containing all metadata and security rules to define OBIEE solutions. Approaches to OLAP like ROLAP, MOLAP, and hybrid OLAP are also summarized.
Microsoft has partnered with oil and gas industry solution providers to address challenges in upstream operations, refining, regulatory compliance, project management, supply chain visibility, and retail. Microsoft provides cloud-based business solutions and support. It has also launched the Microsoft Upstream Reference Architecture initiative with over 35 industry partners to develop a common IT framework. Microsoft's annual Global Energy Forum is a major platform for the oil and gas community and technology providers to learn about new solutions. Microsoft InfoPath Form Services is part of SharePoint and allows integrating forms with workflows and SharePoint libraries, but its future roadmap is uncertain. While easy to use, InfoPath lacks a free form filler client.
This document summarizes a white paper on improving performance of Oracle Transactional Business Intelligence (OTBI) and Business Intelligence Cloud Connector (BICC). It provides recommendations on monitoring tools, report and dashboard design best practices, and query optimization techniques. These include using Usage Tracking to analyze queries, limiting data volumes retrieved from the database, employing filters and indexes, and optimizing cross-subject area and cross-report queries. The document also discusses diagnostic logs, temporary tablespace sizing, and issues to consider for specific functional areas like payroll.
The document provides an overview of Oracle's BI product OBIEE (Oracle Business Intelligence Enterprise Edition), formerly known as Siebel Analytics. It discusses Oracle's BI strategy and architecture, as well as key features of OBIEE configuration, development, and the 11g release. Links are provided for additional product details on Oracle's website.
Oracle BI Enterprise Edition is a business intelligence tool that allows organizations to collect, present, and deliver data to employees in easy-to-understand formats like tables and graphs. It enables better decision making and more efficient processes. Key capabilities include analyses, dashboards, filters, agents, conditions, actions, and scorecards. Users access Oracle BI EE through a web-based interface, signing in with credentials provided by their organization.
The document discusses Oracle's business intelligence cloud services, including Oracle Transactional Business Intelligence - Enterprise (OTBI-E) and Oracle BI Cloud Services (BICS). OTBI-E provides prebuilt analytics for lines of business deployed in the cloud. BICS is a platform as a service that provides a self-service business intelligence platform in the cloud with data loading and modeling capabilities. The services aim to empower lines of business with flexible analytics while maintaining control and security for IT.
Combining SAP Extended ECM and SAP DMS (Document Management System)Thomas Demmler
The Extended ECM Solution Accelerator for SAP DMS combines document management capabilities of SAP Document Management (SAP DMS) with Business Workspaces and Records Management delivered by OpenText Extended ECM for SAP Solutions.
This provides you state-of-the art document management, collaboration and records management capabilities tightly integrated with SAP DMS while at the same time providing an enterprise access to this content via productivity tools like Microsoft Windows, Microsoft Office, and Microsoft SharePoint.
Oracle Business Intelligence 11g - Why Upgrade? Top Benefits for UsersKPI Partners
Oracle BI 11g provides the following top benefits for users when upgrading:
1. Improved interactivity and visualizations through features like animated transitions, range sliders, and an extensive set of chart types.
2. Access to dashboards, reports and analyses on mobile devices through a new mobile app, allowing BI to be accessed anywhere.
3. Better integration with Essbase through features that automatically import metadata and support multiple hierarchies and members.
4. The ability to incorporate scorecards and strategy management by linking objectives, initiatives and KPIs to analyze business performance.
5. A new Action Framework that allows users to define actions to be taken in response to specific data conditions within dashboards
Why Customers need to upgrade to SAP Lumira 2.2?Visual_BI
SAP Lumira 2.2 includes new features that enhance self-service capabilities for both the Discovery and Designer editions. In Discovery, there are improvements to filtering, number formatting, and SAP BW data presentation. Designer adds offline data refresh, variant support for prompts, and performance enhancements. It also allows for more end-user control through features like runtime application authoring and saving dashboard changes. These updates strengthen SAP Lumira's position in SAP's convergence strategy for agile data discovery and dashboarding.
The document discusses Oracle Transactional Business Intelligence (OTBI) and its integration with Oracle Fusion Applications. It provides an overview of OTBI features such as real-time reporting, ease of use, integration with Fusion, and extensibility. The document outlines the OTBI architecture and common semantic layer and discusses how OTBI extends flex fields from Fusion. It also describes how security is integrated between OTBI and Fusion and how BI reports can be embedded within Fusion applications.
Webinar: Open Source Business Intelligence IntroSpagoWorld
The presentation supported the webinar delivered by Stefano Scamuzzo, SpagoBI International Manager, on 22nd December 2010 within SpagoWorld Webinar Center. http://www.spagoworld.org/
The document discusses Alfresco's vision and roadmap. It outlines Alfresco's current platform capabilities like document management, collaboration, cloud sync, records management, and case management. It then discusses the roadmap priorities of reporting and analytics, improved search, office integration, kickstart and end-user modeling, accessibility, and a mobile server add-on to enhance the mobile experience. The next major release of Alfresco One will be announced at the 2014 Summit and will focus on these roadmap areas.
Introduction to OBIEE Metadata
Use of Administration Tool
Concepts of Physical Layer
Concepts of Business Model and Mapping Layer
Concepts of Presentation Layer
Building of these 3 layers
Yes, you have an ECM platform and it serves your information governance needs. But, did you know it can do more, much more? The newest line of thinking is called “xECM” and it involves extending ECM’s existing strengths as a guardian, gatekeeper, and bond for all things digital into the lead applications where work actually takes place. The best part is: embedding the expanded capabilities of OpenText ECM into SAP, Oracle, Microsoft, Salesforce, and more is a lot easier than it sounds.
Value driver planning for mining using microsoft power bi webinarVisual_BI
This document provides an overview of value driver planning and modeling for the mining industry using Microsoft Power BI. It discusses how typical spreadsheet models have limitations and how value driver models can help visualize the links between key performance indicators and operational drivers. The presentation demonstrates how ValQ, a product from Visual BI Solutions, can be used to build interactive value driver models in Power BI to support scenario analysis, planning and decision making for mining companies.
Implementation & Customization processes in BI Applications. BI Applications is built on an integrated IT infrastructure. As such it requires a combination of many skills to implement. Customization requires EBS techno-functional knowledge and skills. This is then incorporated in the ETL. Business acumen can help leverage the technology to the maximum.
Pentaho expands European operations and is looking to grow its partner ecosystem to help sell and support the Pentaho business intelligence platform. Pentaho offers a commercial open source business model with enterprise editions that provide additional functionality, support, and services to help customers succeed with BI projects. Pentaho is focusing on growing subscription sales through partners to build a sustainable business and become a market leader in open source BI.
This document provides a summary of Vijayendra Suryawanshi's work experience and expertise in SAP BW/BI. It includes:
1) Over 4 years of experience with SAP BW/BI including data modeling, extraction, loading, scheduling, reporting, and performance tuning. Experience with BO tools like Xcelsius, Tableau, Design Studio, and WAD.
2) Skills in requirements gathering, design, development, and providing support and training to users.
3) Current role as a Senior Associate Consultant at Robert Bosch since 2015 working on SAP BI projects, previously worked at Mindtree as a Senior Software Engineer since 2011.
Oracle Business Intelligence Enterprise EditionESRI Bulgaria
Oracle Business Intelligence Enterprise Edition 11g (OBIEE) is a comprehensive business intelligence platform that delivers a full range of capabilities - including interactive dashboards, ad hoc queries, notifications and alerts, enterprise and financial reporting, scorecard and strategy management, business process invocation, search and collaboration, mobile, integrated systems management and more.
Creating Data Driven Web Apps with BIRT - Michael Williamsjaxconf
Why spend the time structuring and processing your data, only to turn around and present it in some boring format, like a list or table? Using BIRT to make your application’s data visualizations pop, is easier than you might think. This talk will focus on several different ways that you can integrate BIRT into your application, including running reports with the APIs, customizing the viewer, integrating the viewer into JSP and JSF, and more.
BISP is committed to provide BEST learning material to the beginners and advance learners. In
the same series, we have prepared a complete end-to-end OBIEE Dashboard design document. The
document briefs you practical approach to create Dashboard, Analysis, Filters, Maps, KPI, scorecard
Gauge and Prompts. The document assists OBIEE11g learners to explore the various features. The
document simplifies OBIEE11g. In the first part of tutorial it is shown creation of Brand Analysis
Dashboard. The subsequent release of the case study will cover many new advanced features of
Dashboard building. Join our professional training program to learn from the experts.
SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...serge luca
Session of Serge Luca (SharePoint MVP) and Isabelle Van Campenhoudt (ICT7) on SharePoint Business Intelligence with SQL Server 2012 Club SharePoint France, Microsoft France December 2011
Drive Insight From Unstructured Data With EndecaKPI Partners
Supporting slide deck. The entire recording is available at: http://www.kpipartners.com/webinar-Drive-Insight-From-Unstructured-Data-With-Endeca
Abstract:
There is significant growth of unstructured data being created by consumers and businesses alike, however unstructured forms of data that can be found in sources such as email, social networks and even health records can make it more difficult to organize, manage and analyze the data.
As a result, this has created a need for companies to seek a solution to explore and analyze both structured and unstructured data.
What is Unstructured Data?
Unstructured data has no pre-defined data model and/or does not fit well into relational tables. Typically, there is no identifiable structure – it is text-heavy and generally in free form text. A few examples of this type of data are email, documents, presentations, web content and social media. Due to the explosion and proliferation of the internet and social media, unstructured data is growing exponentially – and companies are looking for better ways to manage this data.
Join experts from Oracle and KPI Partners for this virtual event that will help us all understand how there can be joint analysis complex structured and unstructured data. Our panelists will explore:
Common challenges with structured & unstructured data
What is Endeca & How does does it fit into the Oracle BI landscape?
What does Endeca mean to me as a customer?
Customer Case Studies / Success Stories
Q&A
Guests:
Sid Goel, Partner & BI Architect, KPI Partners
Rick Turco, VP - Oracle Endeca Information Discovery
Rob Dennis, Director - Oracle Endeca Information
Discovery Richard Tomlinson, Product Manager - Oracle Endeca Information Discovery
This document provides instructions on creating BI workspaces and modules in SAP BusinessObjects BI. It outlines prerequisites for creating BI workspaces, including having access to applications in BI launch pad and permissions to create folders. The tutorial then describes creating modules using Dashboard Design models and Web Intelligence documents. It provides a scenario of creating a corporate BI workspace with tabs, subtabs, and linked modules for sharing sales data. Lessons cover creating BI workspaces and folders, adding tabs and modules, and linking content between different module types.
Have a look at the new Enhancement Package 2 of version 16 of the OpenText Extended ECM family. Even though an EP a lot of new and improved functionality is available. This presentation covers Extended ECM Platform, Extended ECM for SAP, SAP Archiving and Document Access, Extended ECM for SAP SuccessFactors, Extended ECM for Salesforce, Extended ECM for SharePoint, and Extended ECM for Oracle.
Learn why Microsoft Power BI is an Undisputed Market Leader?Visual_BI
Power BI Report Server is the on-premise version of Power BI that allows organizations to consume Power BI reports within their internal network behind the firewall. It provides a dedicated user interface and organizational resources to view and interact with Power BI reports on-premises. Power BI Embedded allows embedding Power BI reports and visualizations into third-party applications using REST APIs. It is used to distribute reports to a large audience without requiring each user to have a Power BI license. Premium capacity in Power BI provides dedicated cloud resources for large datasets, frequent refreshes and advanced capabilities like paginated reports and predictive analytics.
In this webinar recording, we evaluate Traditional BI tools like SAP Business Objects (Web Intelligence and SAP Lumira Designer) and compare them against Self-Service BI and Data Discovery capabilities of the top players in the market, namely SAP Analytics Cloud, Microsoft Power BI, Tableau, Qlik Sense & TIBCO Spotfire.
Using Visualization to Succeed with Big Data Pactera_US
The document summarizes a webinar on big data visualization. It discusses drivers for the big data visualization market and new tools emerging. It then profiles several major vendors that offer big data visualization solutions, including Microsoft, QlikView, TIBCO, Tableau, Platfora, Datameer, Splunk, Jaspersoft, and Alpine Data. It concludes with an overview of how Pactera can help clients build advanced analytics solutions.
Oracle Business Intelligence 11g - Why Upgrade? Top Benefits for UsersKPI Partners
Oracle BI 11g provides the following top benefits for users when upgrading:
1. Improved interactivity and visualizations through features like animated transitions, range sliders, and an extensive set of chart types.
2. Access to dashboards, reports and analyses on mobile devices through a new mobile app, allowing BI to be accessed anywhere.
3. Better integration with Essbase through features that automatically import metadata and support multiple hierarchies and members.
4. The ability to incorporate scorecards and strategy management by linking objectives, initiatives and KPIs to analyze business performance.
5. A new Action Framework that allows users to define actions to be taken in response to specific data conditions within dashboards
Why Customers need to upgrade to SAP Lumira 2.2?Visual_BI
SAP Lumira 2.2 includes new features that enhance self-service capabilities for both the Discovery and Designer editions. In Discovery, there are improvements to filtering, number formatting, and SAP BW data presentation. Designer adds offline data refresh, variant support for prompts, and performance enhancements. It also allows for more end-user control through features like runtime application authoring and saving dashboard changes. These updates strengthen SAP Lumira's position in SAP's convergence strategy for agile data discovery and dashboarding.
The document discusses Oracle Transactional Business Intelligence (OTBI) and its integration with Oracle Fusion Applications. It provides an overview of OTBI features such as real-time reporting, ease of use, integration with Fusion, and extensibility. The document outlines the OTBI architecture and common semantic layer and discusses how OTBI extends flex fields from Fusion. It also describes how security is integrated between OTBI and Fusion and how BI reports can be embedded within Fusion applications.
Webinar: Open Source Business Intelligence IntroSpagoWorld
The presentation supported the webinar delivered by Stefano Scamuzzo, SpagoBI International Manager, on 22nd December 2010 within SpagoWorld Webinar Center. http://www.spagoworld.org/
The document discusses Alfresco's vision and roadmap. It outlines Alfresco's current platform capabilities like document management, collaboration, cloud sync, records management, and case management. It then discusses the roadmap priorities of reporting and analytics, improved search, office integration, kickstart and end-user modeling, accessibility, and a mobile server add-on to enhance the mobile experience. The next major release of Alfresco One will be announced at the 2014 Summit and will focus on these roadmap areas.
Introduction to OBIEE Metadata
Use of Administration Tool
Concepts of Physical Layer
Concepts of Business Model and Mapping Layer
Concepts of Presentation Layer
Building of these 3 layers
Yes, you have an ECM platform and it serves your information governance needs. But, did you know it can do more, much more? The newest line of thinking is called “xECM” and it involves extending ECM’s existing strengths as a guardian, gatekeeper, and bond for all things digital into the lead applications where work actually takes place. The best part is: embedding the expanded capabilities of OpenText ECM into SAP, Oracle, Microsoft, Salesforce, and more is a lot easier than it sounds.
Value driver planning for mining using microsoft power bi webinarVisual_BI
This document provides an overview of value driver planning and modeling for the mining industry using Microsoft Power BI. It discusses how typical spreadsheet models have limitations and how value driver models can help visualize the links between key performance indicators and operational drivers. The presentation demonstrates how ValQ, a product from Visual BI Solutions, can be used to build interactive value driver models in Power BI to support scenario analysis, planning and decision making for mining companies.
Implementation & Customization processes in BI Applications. BI Applications is built on an integrated IT infrastructure. As such it requires a combination of many skills to implement. Customization requires EBS techno-functional knowledge and skills. This is then incorporated in the ETL. Business acumen can help leverage the technology to the maximum.
Pentaho expands European operations and is looking to grow its partner ecosystem to help sell and support the Pentaho business intelligence platform. Pentaho offers a commercial open source business model with enterprise editions that provide additional functionality, support, and services to help customers succeed with BI projects. Pentaho is focusing on growing subscription sales through partners to build a sustainable business and become a market leader in open source BI.
This document provides a summary of Vijayendra Suryawanshi's work experience and expertise in SAP BW/BI. It includes:
1) Over 4 years of experience with SAP BW/BI including data modeling, extraction, loading, scheduling, reporting, and performance tuning. Experience with BO tools like Xcelsius, Tableau, Design Studio, and WAD.
2) Skills in requirements gathering, design, development, and providing support and training to users.
3) Current role as a Senior Associate Consultant at Robert Bosch since 2015 working on SAP BI projects, previously worked at Mindtree as a Senior Software Engineer since 2011.
Oracle Business Intelligence Enterprise EditionESRI Bulgaria
Oracle Business Intelligence Enterprise Edition 11g (OBIEE) is a comprehensive business intelligence platform that delivers a full range of capabilities - including interactive dashboards, ad hoc queries, notifications and alerts, enterprise and financial reporting, scorecard and strategy management, business process invocation, search and collaboration, mobile, integrated systems management and more.
Creating Data Driven Web Apps with BIRT - Michael Williamsjaxconf
Why spend the time structuring and processing your data, only to turn around and present it in some boring format, like a list or table? Using BIRT to make your application’s data visualizations pop, is easier than you might think. This talk will focus on several different ways that you can integrate BIRT into your application, including running reports with the APIs, customizing the viewer, integrating the viewer into JSP and JSF, and more.
BISP is committed to provide BEST learning material to the beginners and advance learners. In
the same series, we have prepared a complete end-to-end OBIEE Dashboard design document. The
document briefs you practical approach to create Dashboard, Analysis, Filters, Maps, KPI, scorecard
Gauge and Prompts. The document assists OBIEE11g learners to explore the various features. The
document simplifies OBIEE11g. In the first part of tutorial it is shown creation of Brand Analysis
Dashboard. The subsequent release of the case study will cover many new advanced features of
Dashboard building. Join our professional training program to learn from the experts.
SharePoint 2010 and SQL Server 2012 Business Intelligence (Serge Luca, Isabel...serge luca
Session of Serge Luca (SharePoint MVP) and Isabelle Van Campenhoudt (ICT7) on SharePoint Business Intelligence with SQL Server 2012 Club SharePoint France, Microsoft France December 2011
Drive Insight From Unstructured Data With EndecaKPI Partners
Supporting slide deck. The entire recording is available at: http://www.kpipartners.com/webinar-Drive-Insight-From-Unstructured-Data-With-Endeca
Abstract:
There is significant growth of unstructured data being created by consumers and businesses alike, however unstructured forms of data that can be found in sources such as email, social networks and even health records can make it more difficult to organize, manage and analyze the data.
As a result, this has created a need for companies to seek a solution to explore and analyze both structured and unstructured data.
What is Unstructured Data?
Unstructured data has no pre-defined data model and/or does not fit well into relational tables. Typically, there is no identifiable structure – it is text-heavy and generally in free form text. A few examples of this type of data are email, documents, presentations, web content and social media. Due to the explosion and proliferation of the internet and social media, unstructured data is growing exponentially – and companies are looking for better ways to manage this data.
Join experts from Oracle and KPI Partners for this virtual event that will help us all understand how there can be joint analysis complex structured and unstructured data. Our panelists will explore:
Common challenges with structured & unstructured data
What is Endeca & How does does it fit into the Oracle BI landscape?
What does Endeca mean to me as a customer?
Customer Case Studies / Success Stories
Q&A
Guests:
Sid Goel, Partner & BI Architect, KPI Partners
Rick Turco, VP - Oracle Endeca Information Discovery
Rob Dennis, Director - Oracle Endeca Information
Discovery Richard Tomlinson, Product Manager - Oracle Endeca Information Discovery
This document provides instructions on creating BI workspaces and modules in SAP BusinessObjects BI. It outlines prerequisites for creating BI workspaces, including having access to applications in BI launch pad and permissions to create folders. The tutorial then describes creating modules using Dashboard Design models and Web Intelligence documents. It provides a scenario of creating a corporate BI workspace with tabs, subtabs, and linked modules for sharing sales data. Lessons cover creating BI workspaces and folders, adding tabs and modules, and linking content between different module types.
Have a look at the new Enhancement Package 2 of version 16 of the OpenText Extended ECM family. Even though an EP a lot of new and improved functionality is available. This presentation covers Extended ECM Platform, Extended ECM for SAP, SAP Archiving and Document Access, Extended ECM for SAP SuccessFactors, Extended ECM for Salesforce, Extended ECM for SharePoint, and Extended ECM for Oracle.
Learn why Microsoft Power BI is an Undisputed Market Leader?Visual_BI
Power BI Report Server is the on-premise version of Power BI that allows organizations to consume Power BI reports within their internal network behind the firewall. It provides a dedicated user interface and organizational resources to view and interact with Power BI reports on-premises. Power BI Embedded allows embedding Power BI reports and visualizations into third-party applications using REST APIs. It is used to distribute reports to a large audience without requiring each user to have a Power BI license. Premium capacity in Power BI provides dedicated cloud resources for large datasets, frequent refreshes and advanced capabilities like paginated reports and predictive analytics.
In this webinar recording, we evaluate Traditional BI tools like SAP Business Objects (Web Intelligence and SAP Lumira Designer) and compare them against Self-Service BI and Data Discovery capabilities of the top players in the market, namely SAP Analytics Cloud, Microsoft Power BI, Tableau, Qlik Sense & TIBCO Spotfire.
Using Visualization to Succeed with Big Data Pactera_US
The document summarizes a webinar on big data visualization. It discusses drivers for the big data visualization market and new tools emerging. It then profiles several major vendors that offer big data visualization solutions, including Microsoft, QlikView, TIBCO, Tableau, Platfora, Datameer, Splunk, Jaspersoft, and Alpine Data. It concludes with an overview of how Pactera can help clients build advanced analytics solutions.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and collaborate with others.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and other features in the browser or mobile apps.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and collaborate with others.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and other features in the browser or mobile apps.
Power BI Training (Data Analytics& Business Intelegence)AnggaFernando3
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and collaborate with others.
The document discusses the capabilities of business intelligence (BI) platforms. It describes three main categories of capabilities: integration, information delivery, and analysis. Each category contains several specific capabilities like reports, dashboards, query tools, predictive modeling, etc. The document provides details on each capability and evaluates how well various BI platforms measure up based on these capabilities. It aims to help organizations understand what a comprehensive BI platform should provide.
The document discusses IBM Cognos software and its integration and interoperability with SAP applications and Business Warehouse. Key capabilities of Cognos include optimized access to SAP BW through indexing and caching, as well as real-time reporting and planning using TM1. Cognos provides a unified platform for business intelligence, performance management and planning across various data sources.
Complete BI Solution for your Microsoft Platformwww.panorama.com
This document describes Panorama NovaView, a business intelligence (BI) solution for the Microsoft platform. It provides an end-to-end BI suite with advanced analytics, reporting, dashboards, and integration with Microsoft SQL Server, Office, and SharePoint. Key features include a web-based user experience, support for multiple data sources, advanced analytical capabilities, and making PowerPivot more enterprise-ready. The solution aims to make BI self-service and enable collaboration through the Microsoft platform.
Data Analytics Strategies & Solutions for SAP customersVisual_BI
SAP customers are challenged in multiple fronts today, where we have rapidly evolved tools and technologies with smaller internal IT teams to evaluate them. In this webinar replay, Visual BI will offer strategies and solutions for some of the most common challenges faced by SAP BI & Analytics Leaders, Managers and Architects.
Decoding SAP's BI Analytics SAP Statement of Direction Visual_BI
In Sep 2019, SAP announced its new BI & Analytics strategy and Statement of Direction. This webinar, from Visual BI, will dwell deep into this Statement of Direction, what this announcement means to you, it’s the potential impact to your landscape and existing investments, and how to plan your BI and Analytics Initiatives for 2020.
Power BI Overview, Deployment and GovernanceJames Serra
This document provides an overview of external sharing in Power BI using Azure Active Directory Business-to-Business (Azure B2B) collaboration. Azure B2B allows Power BI content to be securely distributed to guest users outside the organization while maintaining control over internal data. There are three main approaches for sharing - assigning Pro licenses manually, using guest's own licenses, or sharing to guests via Power BI Premium capacity. Azure B2B handles invitations, authentication, and governance policies to control external sharing. All guest actions are audited. Conditional access policies can also be enforced for guests.
Power BI for Dynamics - AJ Ansari - NAVUG Webinar -v3AJ Ansari
This document discusses Microsoft Power BI and how it can be used with Dynamics NAV. Power BI provides self-service business analytics tools for analyzing data and sharing insights. It has a freemium pricing model and works across devices. The document outlines how to connect Dynamics NAV to Power BI using the Dynamics NAV content pack in just four steps. It also discusses considerations for older NAV versions or non-internet facing deployments connecting to Power BI. The presenter demonstrates connecting NAV, working with reports and dashboards, and creating new datasets in Power BI Desktop.
Power BI is a business intelligence and data visualization tool that transforms information from many data sources into interactive BI reports and dashboards.
For More Information, Visit the 1stepgrow website.https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/
Snowflake: The most cost-effective agile and scalable data warehouse ever!Visual_BI
In this webinar, the presenter will take you through the most revolutionary data warehouse, Snowflake with a live demo and technical and functional discussions with a customer. Ryan Goltz from Chesapeake Energy and Tristan Handy, creator of DBT Cloud and owner of Fishtown Analytics will also be joining the webinar.
In this webinar recording, we will be introducing the core concepts of Data Science and the resources in Azure to deliver a complete Data Science solution. We will also walk through a demonstration on how best to use Azure Databricks as a data scientist to process enterprise data and build a machine learning model to deploy.
Converting SAP Business Objects to a New Architecture SolutionDenodo
Watch full webinar here: https://buff.ly/3Lab4YE
Over the years, customers have implemented BI solutions using SAP Business Objects that span from departmental solutions to enterprise-wide deployments. For many customers, these BI solutions have been and are critical to the operations and management of the business. The users, through IT support, have become accustomed to ad-hoc reporting using Universes along tools like Web Intelligence and Crystal Reports. Based on recent news from SAP, these customers will now have to look for a alternate architectures that does not include traditional SAP Business Objects.
Join us for this session with Jose Benavides, Sr. Solutions Consultant, where will explore a modern solution that will provide business users with similar capabilities to what they have with SAP Business Objects. We’ll present a process for converting years of SAP Business Objects maturity to a new solution with minimal impact to your users.
Watch on-demand and Learn:
- Different options for converting SAP Business Objects to a new architecture solution.
- Recommended option for customers.
- Methodology for a conversion that includes acceleration, PoC, and partnerships.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
Challenges of Nation Building-1.pptx with more important
Dw product comparison
1. Bouayad & Bouzoubaa 1
Data Warehouse Product
Comparison
Presented By:
Bouayad Mehdi & Bouzoubaa Marouane
2. Bouayad & Bouzoubaa 2
Outline
Introduction
What is Business Intelligence
Selection Critieria Definition.
Products Comparison.
1. BI Platform Strategies.
BI platform / Partnerships / Packaging and Pricing
2. Comparing BI databases
3. Comparing OLAP
4. Comparing Data Mining
5. Comparing Interfaces
6. Comparing Build and Manage Capabilities
Conclusion
3. Bouayad & Bouzoubaa 3
Goals
Evaluates and compares the business
intelligence platform strategies and business
intelligence platform components of:
Microsoft Corporation.
Hyperion Solutions, Inc.
IBM Corporation.
Oracle Corporation.
All four vendors have characteristic strengths
and limitations. Figure out them…
4. Bouayad & Bouzoubaa 4
Outline
Introduction
What is Business Intelligence
Selection Critieria Definition.
Products Comparison.
1. BI Platform Strategies.
BI platform / Partnerships / Packaging and Pricing
2. Comparing BI databases
3. Comparing OLAP
4. Comparing Data Mining
5. Comparing Interfaces
6. Comparing Build and Manage Capabilities
Conclusion
5. Bouayad & Bouzoubaa 5
What is Business Intelligence ?
Business Intelligence is the process of transforming
data into information and through discovery
transforming that information into knowledge”
- Gartner Group
Business Intelligence is a discipline of developing
information that is conclusive, fact-based and
actionable. Business Intelligence gives companies
ability to discover and utilize information they already
own, and turn it into the knowledge that directly
impacts corporate performance”
- IBM
6. Bouayad & Bouzoubaa 6
Business Intelligence STEPS
Gathering Data
Organizing and Storing Data
Analysis
Spreading Results
Decision Making and Action
7. Bouayad & Bouzoubaa 7
Business Intelligence
Had been used synonymously with decision
support, analysis, and data warehousing.
Today business intelligence has a more
specific definition and a better understood
application.
8. Bouayad & Bouzoubaa 8
Business Intelligence Platform
Requirements
Data Warehouse Databases.
OLAP.
Data Mining.
Interfaces.
Build and Manage Capabilities.
9. Bouayad & Bouzoubaa 9
Outline
Introduction
What is Business Intelligence
Selection Critieria Definition.
Products Comparison.
1. BI Platform Strategies.
BI platform / Partnerships / Packaging and Pricing
2. Comparing BI databases
3. Comparing OLAP
4. Comparing Data Mining
5. Comparing Interfaces
6. Comparing Build and Manage Capabilities
Conclusion
10. Bouayad & Bouzoubaa 10
Selection Criteria
BI Platform Strategies.
BI platform
Partnerships
Packaging & Pricing
BI databases
OLAP
Data Mining
Interfaces
Build and Manage Capabilities
11. Bouayad & Bouzoubaa 11
Data Warehouse Databases
Should support both relational and
multidimensional data warehousing databases.
Storage models should support the distribution of
data across both.
Data models should support transparent or near-
transparent access to data, wherever it’s stored.
12. Bouayad & Bouzoubaa 12
OLAP
Critical business intelligence platform component.
Most widely used approach to analysis.
Business intelligence platforms must provide:
OLAP support within their databases.
OLAP functionality, interfaces to OLAP
functionality.
OLAP build and manage capabilities.
13. Bouayad & Bouzoubaa 13
Data Mining.
Critical to business intelligence platform
capability.
Platforms should include data mining
functionality that offers a range of algorithms
that can operate on data warehouse data.
14. Bouayad & Bouzoubaa 14
Interfaces.
BI platforms should provide open interfaces to
data warehouse databases.
OLAP, and data mining interfaces should comply
with standards.
Open, standards-based interfaces make it easier
both to buy and to build applications that use the
facilities of a business intelligence platform.
15. Bouayad & Bouzoubaa 15
Build capabilities
Should include the implementation of:
data warehouse models, the extraction, movement,
transformation, and cleansing of data from operational
sources, and the initial loading and incremental updating
of data warehouses according to their models.
A wide range of data sources should be supported:
files, and the data of popular packaged software.
Transformation capabilities should be powerful and
flexible.
Predefined transformations should be packaged. ( &
extensible through programming languages.)
16. Bouayad & Bouzoubaa 16
Manage capabilities
Should cover all platform resources—users,
data, and processes.
Strong and flexible prepackaged capabilities
are essential.
Good use should be made of visual tools.
17. Bouayad & Bouzoubaa 17
Outline
Introduction
What is Business Intelligence
Selection Critieria Definition.
Products Comparison.
1. BI Platform Strategies.
BI platform / Partnerships / Packaging and Pricing
2. Comparing BI databases
3. Comparing OLAP
4. Comparing Data Mining
5. Comparing Interfaces
6. Comparing Build and Manage Capabilities
Conclusion
18. Bouayad & Bouzoubaa 18
Product Comparison
1. Microsoft SQL Server 2000
2. IBM DB2
3. Oracle 9iAS
4. Hyperion Essbase 6.5
20. Bouayad & Bouzoubaa 20
BI platform
Based on SQL Server 2000 and Office XP.
Deliver a comprehensive (all in one) business
intelligence platform :
Advanced data warehousing techniques
Great analytic functionality
Good performance and scalability across all
platform components.
Microsoft
21. Bouayad & Bouzoubaa 21
Through Microsoft’s business intelligence
platform:
Push business intelligence to the edges of the
enterprise
Make business intelligence dominant within
the corporation
Make business intelligence more reachable for
more users and more types of users
Microsoft
BI platform
22. Bouayad & Bouzoubaa 22
The Microsoft formula has these key
elements:
Fast implementation
Ease of learning and ease of use
Low cost and high value
Fast return on investment (ROI)
Microsoft
BI platform
23. Bouayad & Bouzoubaa 23
Partnerships
Ms BI Platform is built in Microsoft technology
Microsoft controls all aspects of it design,
development, product marketing, and support
This is essential in order to provide consistency,
integration, and timely technology delivery
Windows OS dependent
Microsoft
24. Bouayad & Bouzoubaa 24
Partnerships are critical to Microsoft and to its
business intelligence platform.
The firm currently uses partnerships to create
a large base of specialized business
intelligence tools and applications that
supports its platform.
These partnerships simplify and accelerate
adoption of the platform and make the
platform’s resources more easily accessible.
Microsoft
Partnerships
25. Bouayad & Bouzoubaa 25
Packaging and Pricing
Strong selling argument of Microsoft.
For the processor-based license fee of
$19,999 per processor for SQL Server
Enterprise Edition
You get the entire business intelligence
platform:
OLAP / data mining / build & manage
capabilities
Microsoft
26. Bouayad & Bouzoubaa 26
BI platform
Oracle 9i AS
Object/relational database management
system designed and positioned to support all
types of Internet-based applications.
Complete and integrated infrastructure for
building BI applications.
Oracle9i OLAP & Oracle9i Data Mining
Features of Oracle9i Enterprise Edition.
Oracle
27. Bouayad & Bouzoubaa 27
Build and Manage functionality is provided by
two toolsets:
Oracle Enterprise Manager:
main management framework and DBA toolset as
well as the toolset for OLAP build and manage.
Oracle9i Warehouse Builder:
Component of Oracle Internet Developer Suite
Provides capabilities for:
Managing relational data warehousing resources
Designing relational data warehouse models
ETL (Extraction Transformation and load).
OS Independent
BI platform
Oracle
28. Bouayad & Bouzoubaa 28
Partnerships
Do not play a major role within Oracle’s
business intelligence platform.
The “complete and integrated infrastructure”
means that every platform component is
provided by Oracle and is based on Oracle9i.
Oracle’s R&D organization controls the
design, development, and support of the
entire platform.
Oracle
29. Bouayad & Bouzoubaa 29
Partnerships
Oracle uses partnerships for business platform
tools and applications.
Although the firm currently competes with these
partners with its own business intelligence tools
and applications.
Oracle’s BI platform does not include partner
technology Oracle has the important
advantage of control over the platform’s
components, technology, and integration.
Oracle
30. Bouayad & Bouzoubaa 30
Packaging and Pricing
Oracle offers little bundling.
All the components of its business intelligence
platform are separately packaged and priced.
Build and manage components have separately
priced and packaged sub-components.
O9i Enterprise Edition : $40,000 / processor.
+ O9i OLAP: $20,000 / processor.
+ O9i Data Mining: $20,000 / processor.
+ O Warehouse Builder: $5,000 per named user.
Oracle
Sum = $ 95,000
31. Bouayad & Bouzoubaa 31
BI platform
Based on DB2
The DB2 Universal Database (UDB) provides
relational data warehousing capabilities.
The database also integrates basic relational
data warehousing build and manage
capabilities.
OLAP functionality and OLAP build and
manage functionality are provided by DB2
OLAP Server.
IBM
32. Bouayad & Bouzoubaa 32
BI platform
DB2 OLAP Server: feature of DB2 Enterprise
Server Edition that is OEMed from Hyperion
and re-branded.
Data mining functionality: provided by DB2
Intelligent Miner and DB2 OLAP Miner.
Warehouse Manager: enhance the integrated
relational build and manage functionality of
DB2.
DB2 OLAP Administrative Services provides
OLAP build and manage capabilities.
IBM
33. Bouayad & Bouzoubaa 33
Partnerships
IBM relies on a set of partners to assemble it
BI platform.
The most critical partnership : Hyperion
Solutions.
Partners also provide ETL and data cleansing
The partnership with Hyperion:
gave IBM OLAP capabilities instantly
allows IBM to compete in an important market
where it had no previous presence and where it
had made no investment in R&D.
IBM
34. Bouayad & Bouzoubaa 34
Partnerships
At long term: disadvantage to IBM’s business
intelligence platform and to its BI customers and
partners.
Why? Because OLAP is more an add-on than an
integral component of IBM’s BI platform.
IBM has no direct control over OLAP technology,
its development, and its integration within its BI
platform.
Given the importance of OLAP, IBM should either
acquire Hyperion or develop its own OLAP. Until
then, its BI platform will always be at a
disadvantage.
IBM
35. Bouayad & Bouzoubaa 35
Every component of IBM’s BI platform is
separately packaged and priced
Individual components offer good value, but the
whole platform can be quite costly.
DB2 UDB (Enterprise Server Edition V8.1 ):
$25,000 per processor.
( provides the basic build and manage functionality of
Data Warehouse Center)
Packaging and Pricing
IBM
36. Bouayad & Bouzoubaa 36
DB2 OLAP Server: $28,000 per server
+ additional $1,500 fee per named user.
(includes the build and manage capabilities of DB2
Administrative Services and the data mining functionality of DB2 OLAP
Miner).
Intelligent Miner: 3 components. $75,000 per processor
for the 3.
For advanced relational build and manage
capabilities:
DB2 Warehouse Manager : $10,600 per processor.
SUM = $138,600 without external ETL and data cleansing tools
Packaging and Pricing
IBM
37. Bouayad & Bouzoubaa 37
BI Platform
The technology platform for Hyperion’s performance
management solutions is Essbase, its admired OLAP
Server.
The firm states its objective “is to be the leading
global provider of business performance
management solutions.” These solutions are
designed to automate the business performance
management process of strategy setting, modeling,
planning, performance monitoring, reporting and
analysis.
Essbase is evolving away from a general purpose
OLAP facility and toward a platform for supporting a
very specific type of BI application.
Hyperion
38. Bouayad & Bouzoubaa 38
additional platform components not offered by
Hyperion are required, most significantly
relational databases, data mining tools and
analytic applications.
Hyperion does not provide a complete
business intelligence platform. Rather its
Essbase product can provide the OLAP
functionality within another leading
comprehensive BI platform.
Essbase integrates OLAP build and manage
functionality.
BI Platform
Hyperion
39. Bouayad & Bouzoubaa 39
Partnerships
Hyperion must partner in order to expand
from its OLAP niche and address all BI
platform requirements.
IBM is Hyperion’s most important business
intelligence platform partner.
Hyperion also has many BI tools and
applications partners that are empowered by
the OLAP capabilities of Essbase.
Hyperion
40. Bouayad & Bouzoubaa 40
Packaging and Pricing
Hyperion Essbase has a pricing model for with two
elements:
the per server fee is $28,000 / processor
the per named user fee is $1,500.
Essbase packaging includes:
OLAP server, administrative tools, and build and manage
tools.
Essbase installations most commonly use relational data
warehouses as the data sources for Essbase cubes.
This approach requires the purchase a complete data
warehousing infrastructure in addition to the Essbase,
which is worth another $28,000
SUM = $56,000
Hyperion
42. Bouayad & Bouzoubaa 42
Microsoft
SQL Server 2000
All of the Microsoft’s BI platform technologies and products are
implemented as SQL Server 2000
No-charge features and are included “in the box” with this
relational database—build and manage facilities, OLAP, and
data mining.
Improved significantly from previous version
Scalability has been its limitation historically
Architectural improvements to its database engine,
Data warehousing features
A big boost from fast SMP hardware have enabled SQL
Server to compete with IBM and Oracle across most of the
scalability curve.
The SQL Server in BI ranges from the low-end, the middle and
touches the high end in terms of capacity and scalability.
Comparing BI databases
43. Bouayad & Bouzoubaa 43
Oracle9i
Object/relational database that has long packaged
excellent data warehousing features.
Wide range of index types, rich join capabilities, and
multiple approaches to partitioning.
Became a well-integrated business intelligence
platform.
Release 1: Oracle added OLAP capabilities within its
database as well as enhancing build and manage
capabilities to support multidimensional warehouses
and marts.
Release 2: OLAP capabilities were improved and
data mining capabilities were added.
Comparing BI databases
44. Bouayad & Bouzoubaa 44
Oracle9i
Oracle9i now has the advantages of
comprehensiveness and integration for all aspects of a
BI platform.
However, the database also has disadvantages as a BI
platform.
OLAP and data mining capabilities are newly
implemented in the database and neither is well proven
or widely used.
Even if the capabilities are offered as database features,
they’re separately packaged and priced, adding
considerably to the initial platform cost.
Comparing BI databases
45. Bouayad & Bouzoubaa 45
IBM’s strategic business intelligence database
Version for Windows, the leading Unix
platforms, IBM S/390 mainframe and AS/400
midrange platforms.
Provides good usability in its administrative
tools.
DB2 OLAP Server provides the business
intelligence database for OLAP.
DB2 OLAP Server is Hyperion’s Essbase,
OEMed, integrated, and re-branded by IBM.
IBM DB2 (UDB)
Comparing BI databases
46. Bouayad & Bouzoubaa 46
DB2 (UDB):
Not tightly integrated within the IBM business intelligence
platform.
Requires separate build and manage tools and Data
mining supported till last version.
July 2001, IBM acquired the database technology of
Informix Software (Informix RDBMS & Redbrick data
warehouse).
both viable BI databases.
To date functionalities of both remained separate from
DB2 and excluded from IBM’s BI platform strategy)
Future ??
Customers are confused. They need direction from IBM.
IBM DB2 (UDB)
Comparing BI databases
47. Bouayad & Bouzoubaa 47
Hyperion
Hyperion does not include a BI database.
Hyperion should be embedded into a
complete BI solution product like IBM DB2
Comparing BI databases
49. Bouayad & Bouzoubaa 49
Microsoft
SQL Server Analysis Services OLAP functionality
includes:
The building and management of multidimensional
OLAP data models
Data Transformation Service: loading and updating of
the data models in easily configurable MOLAP,
ROLAP, and HOLAP stores
a large set of predefined data access and analytic
functionality
Quantitative analysis functions that include statistical
processing capabilities
In addition, user-defined functions are supported and
Analysis Services provides the documentation and
tools for developing them. That’s good power and
flexibility.
Comparing OLAP
50. Bouayad & Bouzoubaa 50
Oracle
Many innocations:
a multidimensional storage model through 9i’s Abstract
Data Type (ADT) object technology features
OLAP query and analytic processing functions within the
database provides access to those functions through
a set of programming interfaces.
OLAP resources integrated within its metadata and
management frameworks.
Oracle9i OLAP’s storage management and interfaces
appear to be brand new.
OLAP resources can be managed with the same tools as
relational and object resources.
Comparing OLAP
51. Bouayad & Bouzoubaa 51
Advantage: OLAP, relational, and object resources are
made scalable, reliable, secure, and manageable by
the same set of mechanisms.
Disadvantage: lack of maturity.
Oracle’s BI platform can implement MOLAP, ROLAP,
and HOLAP storage models.
Rich analytic processing capabilities
Handles the general OLAP aggregation, allocation, and
multidimensional navigation functionality.
+++ Also packages financial calculations and
functions, statistical functions and statistical
forecasting, and regression.
Microsoft and Hyperion: also package good numeric
analytic functionality. Forecasting is unique to Oracle
Oracle
Comparing OLAP
52. Bouayad & Bouzoubaa 52
IBM and Hyperion
IBM business intelligence platform uses the OLAP
capabilities of the re-branded Hyperion Essbase.
Essbase is widely used, well proven, and has broad
support from applications and tools partners.
Essbase support many platforms:
Essbase has become less attractive as a dedicated
OLAP system as Microsoft and Oracle has integrated
OLAP capabilities into their relational databases,
creating comprehensive BI platforms.
It requires its own data store, separately managed
from the relational data warehousing data store, and
its own build and manage toolset.
Comparing OLAP
53. Bouayad & Bouzoubaa 53
IBM and Hyperion
Hybrid Analysis is the best new feature of DB2 OLAP
Server V8.1
Hybrid Analysis allows administrators to define a
multidimensional cube that stores its high-level
(aggregated or summary) members within a
multidimensional store and its low level (detail)
members within a relational store.
The OLAP Server accesses and prepares the relational
data and presents this data to the application as if it
were native multidimensional data.
It adds HOLAP (Hybrid OLAP) support to the OLAP
storage model of IBM’s BI platform.
Comparing OLAP
54. Bouayad & Bouzoubaa 54
Do You know?
The difference between
MOLAP cubes
ROLAP cubes
HOLAP cubes
Aggregations
55. Bouayad & Bouzoubaa 55
Comparing OLAP
Comparing Data Mining
Platform Strategy Comparison
Comparing BI databases
Product Comparison
56. Bouayad & Bouzoubaa 56
Microsoft
Microsoft includes data mining capabilities to the
OLAP functionality packaged in SQL Server Analysis
Services.
The best features integration within Microsoft’s BI
platform, wizard-driven model building, and the
capability to mine relational, OLAP, or external OLE
DB data.
Analysis Services implements only two data mining
algorithms: decision trees and clustering.
These algorithms does not cover broad range of
problems, additional algorithms would add flexibility.
Comparing Data Mining
57. Bouayad & Bouzoubaa 57
Oracle
Delivered through Oracle 9i Data Mining, a
separately packaged and priced feature of
Oracle9i.
The best features are the integration within the
Oracle9i database, the use of the database for
input and metadata, and the broad range of
functions and algorithms.
Data visualization functionality is missing.
There’s no support for a data mining process.
Comparing Data Mining
58. Bouayad & Bouzoubaa 58
IBM
IBM has been active in data mining much
longer than Microsoft or Oracle.
IBM Intelligent Miner product has three
components:
DB2 Intelligent Miner Visualization
DB2 Intelligent Miner Modeling
DB2 Intelligent Miner Scoring
Each supports a key phase of the traditional
data mining process.
Comparing Data Mining
59. Bouayad & Bouzoubaa 59
IBM
All three are separately priced and packaged.
The strengths of DB2 Intelligent Miner are the
breadth and depth of its data mining
algorithms and its modular and
comprehensive coverage of the data mining
process.
Its limitations are complexity—the tradeoff for
its power and flexibility, and support only for
relational input.
Not many business intelligence tools and
applications suppliers have either.
Comparing Data Mining
60. Bouayad & Bouzoubaa 60
IBM
uses a single statistical algorithm to discover
cells within an OLAP dimension that have
unexpected or outlying values and presents
them visually to analysts.
Analysts can then use traditional OLAP
approaches to determine and to understand
the causes for value differences. This is a
very useful data mining application.
Comparing OLAP
61. Bouayad & Bouzoubaa 61
IBM
OLAP Server Miner, unlike Intelligent Miner, does not
require skill and experience in data mining. OLAP
experience is all that you need to use it. This is the
right approach to data mining applications.
They offer broader and deeper data mining
functionality than either Microsoft or Oracle, but
they’d be stronger if they were integrated into a single
coherent offering.
It’s a disadvantage that Intelligent Miner doesn’t mine
OLAP data. It’s also a disadvantage that DB2 OLAP
Miner has only a single data mining algorithm
Comparing OLAP
62. Bouayad & Bouzoubaa 62
Comparing Data Mining
Comparing Interfaces
Platform Strategy Comparison
Comparing BI databases
Comparing OLAP
Product Comparison
63. Bouayad & Bouzoubaa 63
Interfaces
Microsoft Oracle IBM Hyperion
Relational
Interfaces
SQL
Transact/SQL
ODBC & JDBC
OLE DB
ADO
ADO.NET
SQL & PL/SQL
ODBC & JDBC
SQL & DB2
SQL
ODBC & JDBC
NA
OLAP
Interfaces
MDX
DSO
Pivot Table Service
XML for Analysis
OLAP DML
Java OLAP API
SQL and PL/SQL
Essbase API Essbase
API
Data
mining
Interfaces
DSO
Pivot Table Service
Wizards
Oracle9i Data
Mining API
(Java)
Intelligent Miner
• C++
• SQL
• Visual tools
DB2 OLAP
Miner
• Essbase API
NA
64. Bouayad & Bouzoubaa 64
Comparing Interfaces
Comparing Build and
Manage Capabilities
Platform Strategy Comparison
Comparing BI databases
Comparing OLAP
Comparing Data Mining
Product Comparison
65. Bouayad & Bouzoubaa 65
Build and Manage Capabilities : Toolsets
Microsoft Analysis Manager provides comprehensive relational
and OLAP build and manage capabilities.
Oracle Oracle9i Warehouse Builder provides relational build
and manage capabilities.
Oracle Enterprise Manager provides OLAP build and
manage capabilities.
IBM DB2 UDB Data Warehouse Center (DWC) provides
basic relational basic build and manage capabilities.
DB2 Warehouse Manager adds additional relational
build and manage capabilities.
DB2 OLAP Administrative Services provides OLAP
build and manage capabilities.
Hyperion Essbase Administration Services provide OLAP build
and manage capabilities.
Integration Server provides support for loading and
66. Bouayad & Bouzoubaa 66
Build and Manage Capabilities : Extraction data sources
Microsoft Microsoft SQL Server, Oracle, ODBC, Files,
Access 2000, Excel 2000, Microsoft Visual FoxPro
dBase, Paradox, Microsoft Exchange Server
Microsoft Active Directory
Oracle IBM DB2, Informix, Microsoft SQL Server ,Sybase
Oracle, ODBC, Files
IBM DB2,Informix,Microsoft SQL Server,Oracle,Sybase
Files
Hyperion IBM DB2, Informix ,Microsoft SQL/Server Oracle
Sybase, ODBC
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Build and Manage Capabilities : Additional Extraction Data Sources
Microsoft Host Integration Server provides extraction from IBM
mainframe data sources.
Oracle Oracle Pure Extract provides extraction from IBM
mainframe data sources.
Oracle Warehouse Builder Integrator for SAP provides
extraction from SAP R/3.
IBM DB2 Warehouse Manager provides extraction from
SAP R/3, i2, and Web Server logs.
Tools from IBM partners ETI and Ascential integrate
within DWC to provide additional ETL capabilities.
Hyperion None
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Build and Manage Capabilities : ETL execution
Microsoft Process-oriented execution of tasks within packages.
Packaged may be versioned and/or password
protected.
Oracle Process-oriented and execution of ETL steps controlled
by Enterprise Manager.
IBM Individually executed ETL steps.
Hyperion Procedural sequences of declarative rules.
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Build and Manage Capabilities : ETL implementation
Microsoft DTS is implemented as a COM framework accessed
programmatically or with packaged visual tools.
Oracle PL/SQL stored procedures in Oracle9i database.
IBM DB2 stored procedures and user defined functions
(UDF). 150 predefined transformations.
Hyperion ETL performed through rules. Rules perform field-level
operations on source data. A set of predefined rules is
packaged.
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Build and Manage Capabilities : Data cleansing
Microsoft None packaged.
Oracle Oracle Pure Name and Address provides name and
address data cleansing.
IBM IBM partners Trillium Software Systems provides name
and address data cleansing.
Hyperion Via user-defined rules.
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Outline
Introduction
What is Business Intelligence
Selection Critieria Definition.
Products Comparison.
1. BI Platform Strategies.
BI platform / Partnerships / Packaging and Pricing
2. Comparing BI databases
3. Comparing OLAP
4. Comparing Data Mining
5. Comparing Interfaces
6. Comparing Build and Manage Capabilities
Conclusion
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Conclusion
Microsoft provides a comprehensive business
intelligence platform.
Build and manage capabilities, OLAP
capabilities, and application interfaces are its
key strengths.
Data mining is very new, although data
mining integration and data mining tools are
quite good.
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Conclusion
Oracle provides a comprehensive business
intelligence platform.
This platform has a complete set of
components, OLAP and data mining
capabilities are unproven, but promising.
Data mining tools are low level, and build and
manage capabilities are not consistently
implemented for relational and OLAP data
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Conclusion
IBM provides a comprehensive business intelligence
platform.
Relational data warehousing and data mining are key
strengths.
OLAP capabilities are very good
The platform is not well integrated because they’re
OEMed from Hyperion.
Build and Manage capabilities require too many
toolsets and there’s a disconnect between managing
relational data and managing OLAP data.
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Conclusion
Hyperion occupies a niche within business
intelligence platforms
its OLAP technology is a critical component of
IBM’s business intelligence platform.
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Conclusion
Price What You Get
Microsoft $19,999 SQL Server Enterprise Edition
OLAP / data mining / build & manage
capabilities
Oracle $95,000 All BI Platform
IBM $138,600 Without ETL & Data cleansing
Hyperion $56,000 Not A complete BI solution
OLAP + Data Warehouse
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Grading
Microsoft Oracle IBM
Data Warehouse Databases 3 5 4
OLAP 3 4 5
Data Mining 2 4 4
Interfaces 4 3 4
Build and Manage Capabilities 5 4 3
Integration 5 4 2
Easy To learn 5 3 3
Support 4 5 3
Expected Lifetime 4 5 3
Quality/Price 4 4 3
Total 39 41 34
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References
Green Hill Analysis: A Comparison of Business Intelligence Strategies
and Platforms
Gartner Group
www.oracle.com
www.microsoft.com