This document provides an agenda and overview for a seminar on business intelligence (BI) solutions using Microsoft technologies. The agenda covers introductions, an overview of the consulting firm CRG and their BI capabilities, a demonstration of Microsoft's BI platform, and a discussion of CRG's implementation approach. The overview explains the purpose of BI in providing the right information to decision-makers, and outlines Microsoft's vision and principles for BI, as well as the components of their modular BI platform, including SQL Server, Integration Services, Analysis Services, and Reporting Services.
Microsoft Business Intelligence Vision and StrategyNic Smith
Microsoft Business Intelligence slide deck, learn the Microsoft vision and strategy for business intelligence. These slides include the offering and value proposition for Microsoft BI.
Business Intelligence Solution on Windows AzureInfosys
The document discusses a proposed cloud-based business intelligence (BI) solution on Microsoft Azure. It outlines challenges with traditional on-premise BI implementations and how a hybrid cloud solution addresses these issues through scalability, availability, cost efficiency and other benefits. The proposed solution features on-premise components that cleanse and transfer data to cloud components, which include an Azure table storage data warehouse, reporting and analytics tools, and delivery of reports to both internal and external users.
Microsoft Business Intelligence - Practical Approach & OverviewLi Ken Chong
Microsoft Business Intelligence provides business intelligence solutions including reporting, analytics, scorecards, and dashboards. It establishes a common platform for both self-service and traditional BI using tools like Excel, SharePoint, and SQL Server. The platform aims to strike a balance between empowering end users and ensuring governance and oversight through centralized management and control.
Enable Better Decision Making with Power BI Visualizations & Modern Data EstateCCG
Self-service BI empowers users to reach analytic outputs through data visualizations and reporting tools. Solution Architect and Cloud Solution Specialist, James McAuliffe, will be taking you through a journey of Azure's Modern Data Estate.
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.
This document discusses Microsoft's business intelligence (BI) solution stack, including the roles of Analysis Services, Reporting Services, Master Data Services, and Integration Services. It focuses on Analysis Services and describes how it provides scalable and performant data modeling, predictive analytics, and self-service BI capabilities through integration with tools like Excel, SharePoint, and SQL Server. Real-world customer examples are also presented to demonstrate how Analysis Services can help organizations improve decision making and reduce costs.
Modern Business Intelligence - Design and ImplementationsDavid J Rosenthal
During the first two “waves” of business intelligence, IT professionals and business analysts were the keepers of BI. They made BI accessible and consumable for end users.
While this approach still applies to complex business intelligence needs, today there is a new “wave.” This third wave of BI makes BI available to every kind of user.
As customer strive to take advantage of the digital transformation that is occurring in virtually every industry, they need to re-evaluate how they engage with their customers/prospects, how they transform their products and operations, and how they empower and understand their employees.
In today’s world, doing each of these things is more and more reliant upon data…traditionally, everything you knew about your customers and prospects was available in your business application systems and in the heads of employees. You learned almost everything about your products BEFORE they left your warehouse. Employees used technology more to enter data than to learn from it.
In the data-driven world we live in today, leveraging intelligent insights from data across customers, products, and employees is critical to be able to stay competitive and keep up with or lead digital transformation in any industry. And this isn’t just a customer’s typical business application data – it’s also about augmenting the customer’s data with additional data (e.g. search, employee behavioral data, sentiment data, benchmark data, etc..) – and applying the right intelligence to drive meaningful insights.
This document provides an agenda and overview for a seminar on business intelligence (BI) solutions using Microsoft technologies. The agenda covers introductions, an overview of the consulting firm CRG and their BI capabilities, a demonstration of Microsoft's BI platform, and a discussion of CRG's implementation approach. The overview explains the purpose of BI in providing the right information to decision-makers, and outlines Microsoft's vision and principles for BI, as well as the components of their modular BI platform, including SQL Server, Integration Services, Analysis Services, and Reporting Services.
Microsoft Business Intelligence Vision and StrategyNic Smith
Microsoft Business Intelligence slide deck, learn the Microsoft vision and strategy for business intelligence. These slides include the offering and value proposition for Microsoft BI.
Business Intelligence Solution on Windows AzureInfosys
The document discusses a proposed cloud-based business intelligence (BI) solution on Microsoft Azure. It outlines challenges with traditional on-premise BI implementations and how a hybrid cloud solution addresses these issues through scalability, availability, cost efficiency and other benefits. The proposed solution features on-premise components that cleanse and transfer data to cloud components, which include an Azure table storage data warehouse, reporting and analytics tools, and delivery of reports to both internal and external users.
Microsoft Business Intelligence - Practical Approach & OverviewLi Ken Chong
Microsoft Business Intelligence provides business intelligence solutions including reporting, analytics, scorecards, and dashboards. It establishes a common platform for both self-service and traditional BI using tools like Excel, SharePoint, and SQL Server. The platform aims to strike a balance between empowering end users and ensuring governance and oversight through centralized management and control.
Enable Better Decision Making with Power BI Visualizations & Modern Data EstateCCG
Self-service BI empowers users to reach analytic outputs through data visualizations and reporting tools. Solution Architect and Cloud Solution Specialist, James McAuliffe, will be taking you through a journey of Azure's Modern Data Estate.
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.
This document discusses Microsoft's business intelligence (BI) solution stack, including the roles of Analysis Services, Reporting Services, Master Data Services, and Integration Services. It focuses on Analysis Services and describes how it provides scalable and performant data modeling, predictive analytics, and self-service BI capabilities through integration with tools like Excel, SharePoint, and SQL Server. Real-world customer examples are also presented to demonstrate how Analysis Services can help organizations improve decision making and reduce costs.
Modern Business Intelligence - Design and ImplementationsDavid J Rosenthal
During the first two “waves” of business intelligence, IT professionals and business analysts were the keepers of BI. They made BI accessible and consumable for end users.
While this approach still applies to complex business intelligence needs, today there is a new “wave.” This third wave of BI makes BI available to every kind of user.
As customer strive to take advantage of the digital transformation that is occurring in virtually every industry, they need to re-evaluate how they engage with their customers/prospects, how they transform their products and operations, and how they empower and understand their employees.
In today’s world, doing each of these things is more and more reliant upon data…traditionally, everything you knew about your customers and prospects was available in your business application systems and in the heads of employees. You learned almost everything about your products BEFORE they left your warehouse. Employees used technology more to enter data than to learn from it.
In the data-driven world we live in today, leveraging intelligent insights from data across customers, products, and employees is critical to be able to stay competitive and keep up with or lead digital transformation in any industry. And this isn’t just a customer’s typical business application data – it’s also about augmenting the customer’s data with additional data (e.g. search, employee behavioral data, sentiment data, benchmark data, etc..) – and applying the right intelligence to drive meaningful insights.
Case Study - Ibotta Builds A Self-Service Data Lake To Enable Business Growth...Vasu S
Read a case study that how Ibotta cut costs thanks to Qubole’s autoscaling and downscaling capabilities, and the ability to isolate workloads to separate clusters
https://www.qubole.com/resources/case-study/ibotta
Microsoft & Pyramid Analytics: What the Microsoft and Pyramid Analytics' Stra...Pyramid Analytics
In this webinar, join Amir Netz, Technical Fellow at Microsoft in charge of Microsoft’s business intelligence (BI) technologies, and Avi Perez CTO at Pyramid Analytics, as they examine how the two companies are moving BI technology forward. A recording of this presentation will be available soon on the Pyramid Analytics' website at http://pyramidanalytics.com/.
SqlSaturday#699 Power BI - Create a dashboard from zero to heroVishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips.
Learn how to create Power BI Dashboard from scratch.
xRM is the natural evolution of CRM. Businesses are expanding their use of new generation CRM solutions to manage a wider range of scenarios, including asset management, prospect management, citizen management, and many more. Microsoft CRM sits on the .NET platform and because of that, it is much more than a traditional CRM product. Instead, think of Microsoft CRM is as a rapid development application with out of the box CRM functionality. The purpose of this session is to understand Microsoft's CRM strategy and how you get to market first with world class business solutions.
This is the presentation of Webnodes from the Boston Gilbane CMS conference.
The topic of our talk was how structure add value to your data. We start by talking about structured data in a general context. This then leads to the Semantic Web, and finally we talked about structured data in the context of CMS systems.
Dynamics Day 2014: Microsoft Dynamics AX - Business Insight Leveraging AnalyticsIntergen
A close-up look at how to leverage analytics functionality in Microsoft Dynamics AX, covering traditional BI, modifying role centres and Power BI.
Dynamics Day is Australasia's leading event for users of Microsoft Dynamics. For those of you who couldn't make it along to the event, we have made all session content available online.
This document provides an introduction to Power BI, a business intelligence tool for data visualization. It discusses how Power BI helps organizations make more data-driven decisions by combining business analytics, data mining, visualization and infrastructure. Key features of Power BI include rich dashboards, report publishing, no constraints on memory or speed, and no need for technical support. Power BI consists of desktop, service and mobile app components and allows users to connect to data, model and format it, create visualizations, and publish reports.
This document discusses the 5 pillars of API management: 1) Exposing enterprise data and functionality in API-friendly formats like RESTful APIs, 2) Protecting information assets exposed via APIs to prevent misuse, 3) Authorizing secure and seamless access for valid identities using standards like OAuth, 4) Optimizing system performance and managing the API lifecycle, and 5) Engaging, onboarding, educating and managing developers. It provides an overview of each pillar and why it is important for effective API management.
It covers the basic of analytics, types of analytics, tools, and techniques of analytics, and a briefcase study to demonstrate the predictive analytics with decision tree algorithm of machine learning
This document provides an overview of Microsoft Power BI. It discusses how Power BI allows users to connect to hundreds of data sources and perform analysis. The document also includes graphics showing Power BI's speed and growth compared to Tableau, as well as information about partnership offers between Microsoft and ACCA that provide discounts and services for ACCA members.
The document discusses Informatica's data virtualization solution. It provides an overview of the challenges companies face in integrating data from multiple sources and making it available for business intelligence, master data management, and service-oriented architecture use cases. Informatica's solution combines data integration, data virtualization, data profiling, and business-IT collaboration capabilities to provide a common view of data across sources and enable fast delivery of new reports and attributes without moving data. Examples are provided of how HealthNow NY used the solution to improve risk analysis and pricing by delivering a complete and trusted view of customer data.
Intro to BI Semantic Model & Self-Service Reporting with Power ViewDan English
There are a lot of changes coming in the next release of SQL Server “Denali” with Analysis Services and PowerPivot along with new powerful BI functionality being added. This presentation will introduce the new BI Semantic Model concept, talk about the different options you have with Analysis Services in SQL Server 2012 (“Denali"), go over the new features in Analysis Services – including PowerPivot, go over developing models, and dive into the new self-service reporting authoring tool Power View (Project “Crescent”). Along the way there will be demonstrations of the new features and functionality so you can get a feel for what is coming. By the end of the session you will have a full understanding of what lies ahead and you can start preparing your roadmap for delivering BI content within your organization.
This document compares three popular business intelligence (BI) tools: SAP Business Objects, SAS BI Platform, and Oracle OBIEE. It rates each tool on presentation, usability, ease of use, and performance. It also lists the key components, development tools, data sources supported, and mobile capabilities of each tool. The top three tools are compared on features like reporting, dashboards, OLAP cubes, data mining, and integration with Microsoft and mobile platforms.
This document outlines an MDM architecture using SAP components, including SAP MDG for the master data repository, SAP Info Steward for metadata management, and SAP Data Services for data integration and quality. It recommends using Sybase PowerDesigner for data modeling, profiling data with SAP Info Steward, and leveraging SAP HANA for faster processing. The architecture utilizes SAP components for presentation, persistence, integration and processing of master data.
Business intelligence dashboards and data visualizations serve as a launching point for better business decision making. Learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations.
Power BI Create lightning fast dashboard with power bi & Its Components Vishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips, You will learn all latest and greatest features of Power BI.
The document summarizes new features and upcoming projects in SQL Server and BI. Key points include: improved SQL engine and management tools; Master Data Services; self-service analysis and reporting projects; reference architectures for petabyte data warehouses; and Project Madison for appliance-like data warehouses running on industry standard hardware. Project Gemini will provide self-service analysis in Excel with in-memory analytics and sharing capabilities.
The world of business intelligence and analytics has changed from one that IT was providing the information in an organisation to more self-service data analytics that the end user has the ability to access and consume the data from a platform such as a data warehouse, as well as being able to enhance their data analytics with other data sources. In addition, the users now can easily share content and collaborate with other users. This has enabled businesses to leverage from making better decisions in more agile way. However, giving the users a lot of freedom in accessing and sharing data without any governance can expose the businesses to serious security and privacy risks.
In this session, we discussed what governance means when it comes to Power BI and how to implement an organisation-wide governance framework for Power BI ecosystem, without preventing the business to naturally grow in its analytics capability a long with some real-world examples and good practices.
Power BI for Office 365: Using SharePoint to Deliver Self-ServicePerficient, Inc.
The document discusses Microsoft's Power BI tools for self-service business intelligence (BI) and analytics. It describes the key components of Power BI, including Excel-based tools for self-service BI (Power Query, Power Pivot, Power View, Power Map) and Power BI capabilities available with Office 365, such as Power BI sites for collaboration and data management features. The document provides an overview of the Power BI tools and capabilities as well as examples of how they can be used to connect to data, build reports and dashboards, and share and consume BI content.
Presentation about BigData from a German Webcast: http://business-services.heise.de/it-management/big-data/beitrag/big-data-technologie-einsatzgebiete-datenschutz-160.html?source=IBM_12_2013_IT_Conn
Business intelligence (BI) involves collecting data from various sources, analyzing it to gain insights, and presenting the findings to help make better business decisions. It aims to provide the right information to decision-makers at the right time. The document outlines the five stages of BI - collecting data, extracting and transforming it, loading it into a data warehouse, analyzing it, and presenting insights through dashboards, reports and alerts. It also provides examples of how a retail company uses BI tools to gain insights from customer and sales data to improve performance.
The document discusses business intelligence and the decision making process. It defines business intelligence as using technology to gather, store, access and analyze data to help users make better decisions. This includes applications like decision support systems, reporting, online analytical processing, and data mining. It also discusses key concepts like data warehousing, OLTP vs OLAP, and the different layers of business intelligence including the presentation, data warehouse, and source layers.
Case Study - Ibotta Builds A Self-Service Data Lake To Enable Business Growth...Vasu S
Read a case study that how Ibotta cut costs thanks to Qubole’s autoscaling and downscaling capabilities, and the ability to isolate workloads to separate clusters
https://www.qubole.com/resources/case-study/ibotta
Microsoft & Pyramid Analytics: What the Microsoft and Pyramid Analytics' Stra...Pyramid Analytics
In this webinar, join Amir Netz, Technical Fellow at Microsoft in charge of Microsoft’s business intelligence (BI) technologies, and Avi Perez CTO at Pyramid Analytics, as they examine how the two companies are moving BI technology forward. A recording of this presentation will be available soon on the Pyramid Analytics' website at http://pyramidanalytics.com/.
SqlSaturday#699 Power BI - Create a dashboard from zero to heroVishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips.
Learn how to create Power BI Dashboard from scratch.
xRM is the natural evolution of CRM. Businesses are expanding their use of new generation CRM solutions to manage a wider range of scenarios, including asset management, prospect management, citizen management, and many more. Microsoft CRM sits on the .NET platform and because of that, it is much more than a traditional CRM product. Instead, think of Microsoft CRM is as a rapid development application with out of the box CRM functionality. The purpose of this session is to understand Microsoft's CRM strategy and how you get to market first with world class business solutions.
This is the presentation of Webnodes from the Boston Gilbane CMS conference.
The topic of our talk was how structure add value to your data. We start by talking about structured data in a general context. This then leads to the Semantic Web, and finally we talked about structured data in the context of CMS systems.
Dynamics Day 2014: Microsoft Dynamics AX - Business Insight Leveraging AnalyticsIntergen
A close-up look at how to leverage analytics functionality in Microsoft Dynamics AX, covering traditional BI, modifying role centres and Power BI.
Dynamics Day is Australasia's leading event for users of Microsoft Dynamics. For those of you who couldn't make it along to the event, we have made all session content available online.
This document provides an introduction to Power BI, a business intelligence tool for data visualization. It discusses how Power BI helps organizations make more data-driven decisions by combining business analytics, data mining, visualization and infrastructure. Key features of Power BI include rich dashboards, report publishing, no constraints on memory or speed, and no need for technical support. Power BI consists of desktop, service and mobile app components and allows users to connect to data, model and format it, create visualizations, and publish reports.
This document discusses the 5 pillars of API management: 1) Exposing enterprise data and functionality in API-friendly formats like RESTful APIs, 2) Protecting information assets exposed via APIs to prevent misuse, 3) Authorizing secure and seamless access for valid identities using standards like OAuth, 4) Optimizing system performance and managing the API lifecycle, and 5) Engaging, onboarding, educating and managing developers. It provides an overview of each pillar and why it is important for effective API management.
It covers the basic of analytics, types of analytics, tools, and techniques of analytics, and a briefcase study to demonstrate the predictive analytics with decision tree algorithm of machine learning
This document provides an overview of Microsoft Power BI. It discusses how Power BI allows users to connect to hundreds of data sources and perform analysis. The document also includes graphics showing Power BI's speed and growth compared to Tableau, as well as information about partnership offers between Microsoft and ACCA that provide discounts and services for ACCA members.
The document discusses Informatica's data virtualization solution. It provides an overview of the challenges companies face in integrating data from multiple sources and making it available for business intelligence, master data management, and service-oriented architecture use cases. Informatica's solution combines data integration, data virtualization, data profiling, and business-IT collaboration capabilities to provide a common view of data across sources and enable fast delivery of new reports and attributes without moving data. Examples are provided of how HealthNow NY used the solution to improve risk analysis and pricing by delivering a complete and trusted view of customer data.
Intro to BI Semantic Model & Self-Service Reporting with Power ViewDan English
There are a lot of changes coming in the next release of SQL Server “Denali” with Analysis Services and PowerPivot along with new powerful BI functionality being added. This presentation will introduce the new BI Semantic Model concept, talk about the different options you have with Analysis Services in SQL Server 2012 (“Denali"), go over the new features in Analysis Services – including PowerPivot, go over developing models, and dive into the new self-service reporting authoring tool Power View (Project “Crescent”). Along the way there will be demonstrations of the new features and functionality so you can get a feel for what is coming. By the end of the session you will have a full understanding of what lies ahead and you can start preparing your roadmap for delivering BI content within your organization.
This document compares three popular business intelligence (BI) tools: SAP Business Objects, SAS BI Platform, and Oracle OBIEE. It rates each tool on presentation, usability, ease of use, and performance. It also lists the key components, development tools, data sources supported, and mobile capabilities of each tool. The top three tools are compared on features like reporting, dashboards, OLAP cubes, data mining, and integration with Microsoft and mobile platforms.
This document outlines an MDM architecture using SAP components, including SAP MDG for the master data repository, SAP Info Steward for metadata management, and SAP Data Services for data integration and quality. It recommends using Sybase PowerDesigner for data modeling, profiling data with SAP Info Steward, and leveraging SAP HANA for faster processing. The architecture utilizes SAP components for presentation, persistence, integration and processing of master data.
Business intelligence dashboards and data visualizations serve as a launching point for better business decision making. Learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations.
Power BI Create lightning fast dashboard with power bi & Its Components Vishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips, You will learn all latest and greatest features of Power BI.
The document summarizes new features and upcoming projects in SQL Server and BI. Key points include: improved SQL engine and management tools; Master Data Services; self-service analysis and reporting projects; reference architectures for petabyte data warehouses; and Project Madison for appliance-like data warehouses running on industry standard hardware. Project Gemini will provide self-service analysis in Excel with in-memory analytics and sharing capabilities.
The world of business intelligence and analytics has changed from one that IT was providing the information in an organisation to more self-service data analytics that the end user has the ability to access and consume the data from a platform such as a data warehouse, as well as being able to enhance their data analytics with other data sources. In addition, the users now can easily share content and collaborate with other users. This has enabled businesses to leverage from making better decisions in more agile way. However, giving the users a lot of freedom in accessing and sharing data without any governance can expose the businesses to serious security and privacy risks.
In this session, we discussed what governance means when it comes to Power BI and how to implement an organisation-wide governance framework for Power BI ecosystem, without preventing the business to naturally grow in its analytics capability a long with some real-world examples and good practices.
Power BI for Office 365: Using SharePoint to Deliver Self-ServicePerficient, Inc.
The document discusses Microsoft's Power BI tools for self-service business intelligence (BI) and analytics. It describes the key components of Power BI, including Excel-based tools for self-service BI (Power Query, Power Pivot, Power View, Power Map) and Power BI capabilities available with Office 365, such as Power BI sites for collaboration and data management features. The document provides an overview of the Power BI tools and capabilities as well as examples of how they can be used to connect to data, build reports and dashboards, and share and consume BI content.
Presentation about BigData from a German Webcast: http://business-services.heise.de/it-management/big-data/beitrag/big-data-technologie-einsatzgebiete-datenschutz-160.html?source=IBM_12_2013_IT_Conn
Business intelligence (BI) involves collecting data from various sources, analyzing it to gain insights, and presenting the findings to help make better business decisions. It aims to provide the right information to decision-makers at the right time. The document outlines the five stages of BI - collecting data, extracting and transforming it, loading it into a data warehouse, analyzing it, and presenting insights through dashboards, reports and alerts. It also provides examples of how a retail company uses BI tools to gain insights from customer and sales data to improve performance.
The document discusses business intelligence and the decision making process. It defines business intelligence as using technology to gather, store, access and analyze data to help users make better decisions. This includes applications like decision support systems, reporting, online analytical processing, and data mining. It also discusses key concepts like data warehousing, OLTP vs OLAP, and the different layers of business intelligence including the presentation, data warehouse, and source layers.
Business intelligence (BI) provides processes, technologies, and tools to help organizations analyze data and make better business decisions. BI technologies gather, store, analyze and provide access to enterprise data. This helps users understand what happened in the past, what is happening currently, and make plans to achieve desired future outcomes. BI provides a single point of access to information, timely answers to business questions, and allows all departments to use data for decision making. Key BI tools include dashboards, key performance indicators, graphical reporting, forecasting, and data visualization. These tools help analyze trends, customer behavior, market conditions, and support risk analysis and decision making.
Becoming a Process Minding Organization - a Solution OverviewDafna Levy
While process mining is perceived by many as a very cool technology, yet companies are not willing to embrace it as warmly and quickly as expected. Managers still expect more convincing and significant added value. Another issue might be with offering process mining technology as somewhat detached solution and not taking into account BI solutions, which might already exist in a company.
The attached presentation proposes a solution which is based on an integration of ERP, BI and process mining technologies.
The technologies used enable a quick, easy and low cost “jumpstart” in order to increase ‘process minding’ in a company. Hope you find it useful!
The document discusses VSS's Business Intelligence (BI) roadmap and services, including:
1) Enterprise data warehousing using SAP BW as the foundation for BI and reporting.
2) Enterprise business analytics and reporting using SAP and Business Objects solutions.
3) Ready-to-run BI solutions that can be rapidly implemented.
4) Training, project management, maintenance and support services for customers' BI implementations and landscapes.
My Microsoft Business Intelligence Portfoliomnkashama
This document provides samples of work done to design and implement a business intelligence solution for a construction company using Microsoft BI technologies. The samples showcase star schema design, ETL processes with SSIS, cube design with SSAS including calculations and KPIs, reports with SSRS and Excel Services, dashboards with PerformancePoint and SharePoint, and more. The goal was to provide business executives and IT managers with insights into key performance metrics through an integrated BI system.
SQL Server 2016 introduces new features for business intelligence and reporting. PolyBase allows querying data across SQL Server and Hadoop using T-SQL. Integration Services has improved support for AlwaysOn availability groups and incremental package deployment. Reporting Services adds HTML5 rendering, PowerPoint export, and the ability to pin report items to Power BI dashboards. Mobile Report Publisher enables developing and publishing mobile reports.
BISMART Bihealth. Microsoft Business Intelligence in healthalbertisern
Microsoft provides business intelligence tools to help healthcare organizations turn their data into useful insights. These tools can integrate data from different sources, provide graphical dashboards and key performance indicators, and deliver the right information to the right people at the right time. Microsoft aims to empower all employees with self-service analytics to make better, faster decisions that improve organizational efficiency and outcomes. Example healthcare organizations are seeing benefits like increased vaccination rates and improved clinical and financial performance by using Microsoft's business intelligence solutions.
This document presents on business intelligence and how data can provide insights and competitive advantages. The presentation discusses how industries have collected data for operations and how business intelligence tools like Qlikview can help analyze that data to provide insights. It outlines an agenda covering data as a discovery tool, Qlikview features, demonstrations, and a question/answer session. The presentation argues that analyzing available data using business intelligence can optimize customer centricity and help move organizations from traditional reporting to discovery.
BI : SharePoint 2016 BI or PowerBI v2 ? (O365 Saturday Copenhagen, 2016)serge luca
Business Intelligence : shpuld we go for SharePoint 2016 BI or to PowerBI v2 ? O365 Saturday Copenhagen 2016 - By Serge Luca, SharePoint MVP and Isabelle an Campenhoudt, SQL Server MVP
Managed BI Solutions for TelecommunicationsMarkedBlue
MarkedBlue is a telecommunications specific “instant & managed BI” company with global reach, providing instant BI capabilities to telecommunications operators with cost efficiency and operational simplicity…
The document defines an entrepreneur as someone who creates a new business while taking risks and uncertainties in order to make a profit. It discusses various theories of entrepreneurship including economic, sociological, and psychological theories. It also covers characteristics, types, functions, and barriers of entrepreneurs. The stages of the entrepreneurial process include discovery, concept development, resourcing, actualization, and harvesting. Entrepreneurial culture and its components that promote entrepreneurship are also summarized.
Organizations need business intelligence systems to provide useful information to users in a timely manner by processing, storing and analyzing patterns in customer, supplier, partner and employee data. There are three main types of business intelligence tools: reporting tools that generate structured reports, data mining tools that find patterns and relationships in data, and knowledge management tools that store and share employee knowledge. Data warehouses and data marts standardize and prepare operational and third party data for analysis to address inconsistent and missing data problems. Reporting and data mining applications then use business intelligence tools to analyze this structured data and deliver insights.
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
Empower Your Organization with Microsoft Power PlatformDavid J Rosenthal
The document discusses the Microsoft Power Platform and how it empowers organizations with application development, data analytics, and workflow automation. It highlights that 500 million new apps will be built in the next 5 years, more than all apps built in the last 40 years. It also notes that 86% of organizations struggle to find technical talent for application development. The Power Platform is positioned as a low-code platform that can help organizations build apps and automate workflows across Microsoft products like Office 365, Dynamics 365 and Azure without extensive coding.
Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.
This document discusses building cubes in SQL Server Analysis Services (SSAS) and PowerPivot. It covers cubes created manually in SSAS, auto-cubes created in PowerPivot, and cubes in the upcoming Denali release. PowerPivot allows users to analyze massive data volumes with Excel. Reporting Services and SharePoint can be used to publish and share PowerPivot reports. SSAS provides an advanced feature set for scalable cube design. Denali will converge cube technologies with its new BI Semantic Model.
Power BI provides self-service business intelligence and analytics capabilities powered by artificial intelligence. It unifies self-service and enterprise BI by bringing together data from various sources and allowing users at all levels of an organization to access and analyze information. Power BI also leverages Azure services for advanced analytics capabilities like big data processing, machine learning and artificial intelligence. This enables organizations to gain deeper insights from their data at scale.
The document discusses how organizations can leverage cloud, data, and AI to gain competitive advantages. It notes that 80% of organizations now adopt cloud-first strategies, AI investment increased 300% in 2017, and data is expected to grow dramatically. The document promotes Microsoft's cloud-based analytics services for harnessing data at scale from various sources and types. It provides examples of how companies have used these services to improve customer experience, reduce costs, speed up insights, and gain operational efficiencies.
This document contains an agenda for a campus event on Microsoft Business Intelligence (BI). It includes an introduction to Microsoft BI, a demo, and a discussion on next steps. It provides background information on BI, including definitions and its benefits. It also lists some common adoption issues. The agenda then covers self-service BI tools like Excel and Power BI and how they can help users discover, analyze, visualize and explore data. Finally, it proposes using data from various sources like Project Online, Excel, and other apps to create reports and dashboards on topics like projects, resources, finances, and department performance.
Create a single source of truth
The starting point for building a data-driven culture is establishing a single source of truth. We make this easy with Power BI, a modern BI cloud service that connects to all of your data, wherever it lives, in the cloud or on premises, Microsoft or non-Microsoft. It delivers insights to you in any way, anywhere, from mobile to web, as well as embedded in apps, both first party and third party. Office 365 further extends this with versions that allow you to quickly look at differences, auditing and roll back, allowing you to confidently manage the single version of truth.
Analyze & visualize data
The next step is to make it easy to analyze and explore data, then share it out seamlessly. Here we deliver the industry leading analyst tool with Excel, which allows you to ask questions at the pace of your business transformation, in a tool you use daily. Sometimes it's easier for us to spot trends and outliers when data is presented visually. Power BI makes visualization simple and easy. Sometimes we want both. Power BI integrates natively with Excel, so users can easily dive deeper into visualizations from Excel and vice-versa. Together with Visio, you can visualize complex process flows directly into Power BI.
Run your business in real time with live dashboards
All of the visualizations and dashboards you create in Power BI, Excel, and Visio can be programmed to update in real-time, so that you can react to opportunities and threats as soon as they appear.
Put insights at the center of teamwork
Lastly, with the growing importance of teamwork in the modern workplace it’s critical that teams can collaborate on data in real-time. Power BI and Excel both integrate natively with Teams and Office 365, making it easier to create consensus based on data.
Conclusion
All of these capabilities add up to better, faster decision-making – a 2017 study by Forrester found that with Microsoft 365 E5 employees make decisions in 18% less time – think about how much faster your business could move with decisions made in hours or days rather than weeks.
DAMA Webinar: Turn Grand Designs into a Reality with Data VirtualizationDenodo
Watch full webinar here: https://buff.ly/2HMdbUp
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
• What data virtualization really is,
• How it differs from other enterprise data integration technologies
• Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...Inside Analysis
The Briefing Room with Wayne Eckerson and Birst
Live Webcast on March 4, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=573944bdf3e01bfb977fa9f3d1d623c2
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Enterprise - Mar. 4
The Briefing Room with Wayne Eckerson and Birst
Cloud BI, once a novelty, is now going mainstream. More and more organizations are adopting Cloud BI and folding it in their BI strategy. Learn what considerations are necessary to determine if Cloud BI should be part of your multi-platform BI architecture.
Register for this episode of The Briefing Room to learn from veteran Analyst Wayne Eckerson as he explains what to consider when choosing cloud-based solutions. He will be briefed by Brad Peters of Birst, who will tout his company’s enterprise-caliber cloud BI platform. Peters will describe how the coexistence of cloud applications and traditional environments can provide the kind of agility and flexibility that can lead to faster time to value.
Visit InsideAnlaysis.com for more information.
The document discusses Microsoft's business intelligence solutions and how they empower users, improve organizational effectiveness, and increase IT efficiency. It highlights features like PowerPivot for Excel that allow self-service analytics on vast data. Dashboards and scorecards are described as visual tools to monitor key metrics and promote transparency. Microsoft BI is said to leverage existing IT investments and tools people already know like Excel, reducing costs.
Η παρουσίαση Master the art of Data Science πραγματοποιήθηκε από τον Παντελή Ξανθούλη, Analytics Software Sales | IBM, στην εκδήλωση της εταιρίας μας, InTech – Accelerate your AI journey.
2b - PowerPivot y SharePoint 2010, por Tomas HernandezLuis Du Solier
Microsoft offers a business intelligence (BI) solution stack that provides business insights to all employees. The stack includes self-service data exploration, analysis, and visualization tools. It delivers these capabilities through familiar interfaces in Excel and SharePoint. A key part of the solution is PowerPivot, which allows users to easily analyze massive datasets. PowerPivot empowers users to create intuitive, interactive analysis solutions independently with just a few mouse clicks.
Advanced Analytics and Artificial Intelligence - Transforming Your Business T...David J Rosenthal
Recent advances in AI have incredible potential and they are already fundamentally changing our lives in ways we couldn’t have imagined even five years ago. And yet, AI is also probably one of the least understood technological breakthroughs in modern times. Come to this event to learn about breakthrough advances in AI and the power of the cloud, and how Microsoft provides a flexible platform for you to infuse intelligence into your own products and services. Microsoft empowers you to transform your business, uniquely combining AI innovation with a proven Enterprise platform, deriving intelligence from a wide range of data relevant to your business no matter where it lives.
The document discusses new features in SQL Server Analysis Services (SSAS) "Denali" release including a new unified BI Semantic Model that brings together relational and multidimensional data models. It provides more flexibility and choices in building BI applications using either tabular or multidimensional approaches. Denali also improves performance and scalability with new in-memory and compression technologies. New tools are introduced for data modeling and management.
Overcoming Today's Data Challenges with MongoDBMongoDB
The document outlines an agenda for an event on overcoming data challenges with MongoDB. The event will feature speakers from MongoDB and Bosch discussing how the world has changed since relational databases were invented, how to radically transform IT environments with MongoDB, MongoDB and blockchain, and MongoDB for multiple use cases. The agenda includes presentations on these topics as well as a Q&A session and conclusion.
The document discusses how traditional business intelligence (BI) approaches have issues that can be addressed by agile BI. It notes that traditional BI implementations require a lot of time, skills, resources and ongoing maintenance. Agile BI is presented as a viable alternative that is quicker to install, more flexible, easier to use and less costly. The document demonstrates how agile BI from LogiXML works and its benefits for empowering users, enabling collaboration, providing insights and delivering business value.
IBM Governed data lake is a value-driven big data platform journey. The journey starts by ingesting wide variety of data, governing it, applying data science and machine learning on it to produce actionable insights.
Analytics in a Day Ft. Synapse Virtual WorkshopCCG
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
As a follow-on to the presentation "Building an Effective Data Warehouse Architecture", this presentation will explain exactly what Big Data is and its benefits, including use cases. We will discuss how Hadoop, the cloud and massively parallel processing (MPP) is changing the way data warehouses are being built. We will talk about hybrid architectures that combine on-premise data with data in the cloud as well as relational data and non-relational (unstructured) data. We will look at the benefits of MPP over SMP and how to integrate data from Internet of Things (IoT) devices. You will learn what a modern data warehouse should look like and how the role of a Data Lake and Hadoop fit in. In the end you will have guidance on the best solution for your data warehouse going forward.
Big Data Expo 2015 - Pentaho The Future of AnalyticsBigDataExpo
Leer hoe Pentaho kan helpen om zowel legacy data en ongestructureerde (Big) data van verschillende bronnen te blenden en te verrijken om zo waarde te creeeren voor uw organisatie. Praktische voorbeelden illustreren hoe Pentaho dit al bij vele organisaties heeft weten te bereiken.
Zie hoe organisaties Pentaho onder andere inzetten om:
• problemen met te lange ETL jobs op te lossen waardoor Data Warehouse loads weer doorgaan,
• de kosten van data-integratie te verlagen,
• het overlopen van traditionele Data Warehouses en bijkomende kosten doet voorkomen,
• Data Quality en Data Governence in uw process inbrengt en
• hoe dit vervolgens embedded in uw applicaties kan worden geanalyseerd.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
5. Delivering on our VisionPervasive Business Intelligence Business Intelligence with the world’s most popular business productivity suite and most widely deployed information platform Increasing IT efficiency & reducing cost … on growing volumes of data from diverse sources Accelerating decision making & collaboration … working together across small and large groups Empowering people through familiar tools … they already know how to use
9. Familiar End User Tools PowerPivot for Excel PowerPivot for SharePoint
10. IT Operations Dashboard PowerPivot for SharePoint App Hosting Usage Visibility Query Performance Refresh Scheduling Security Manageability
11. Managed Self-Service BI IW Power-user IT Professional BI solution authors Access to good data Better experience BI solution governance Oversight on data Insight into activity
12. Mediterranean Shipping Company 22 TB of data on SQL Server 2008 External data sources (US Customs) 33 million rows 1.7GB compressed Built in 3 hours
13. Bank of New Zealand (BNZ) Manual month-end reconciliations Complex mapping between GL & PnL Data from multiple sources e.g. SAP Large data sets – 2m rows / month Slicers for easy navigation
15. Microsoft SharePoint 2010The businesscollaboration platformfor the Enterprise and the Web Sites Connect and Empower People Communities Composites Cut Costs with a Unified Infrastructure Content Insights Rapidly Respond to Business Needs Search
24. Microsoft Business Intelligence Azure cloud Business Productivity Suite Internet unstructured reports ATOM Feeds Business Collaboration Platform applications RDBMS Information Platform Teradata IBM Oracle Siebel SAP
If you consider our vision and you look at where we are at….we have some work to do.It is commonly thought that fewer than 20% of the users in the organizations we serve together have access to the BI tools and data they need to be most effective in their every day decision making. Fewer than 20%. You can leverage the sound data foundation you’ve built on Microsoft SQL Serverto bring greater agility to everyday decision making in your organizations, and to do it by empowering them to build on what they already know- Microsoft Office Excel and Microsoft SharePoint Server
In the past, we might have thought of That Guy as the enemy. That Guy as the one who proliferated spreadmarts and data sprawl in our organizations.That guy is Domain expertUnderstands data workMad skills in ExcelHe – or she – is the go-to-guy for many information workers.And most importantly, the number of people who are ‘That Guy’ is increasing over time
And there are some 500 Million information workers for whom That Guy is a potential hero.In the past, we’ve railed against That Guy and those like him whoCobble together their own solutions,Deploy them via email or sneaker net, And proliferate stale and decaying copies of corporate data. We’ve banned Those Guys. We’ve taken away their data access. We’ve ignored them hoping they’ll go away.Thank goodness only 4% of business users are like That Guy.But in this case, 20% of 500 M is actually a pretty powerful workforce.It’s time to try get That Guy, That Gal and all like them working with us toward a common goal. ….so how do we do that ….lets start by making that guy part of the solution and that introduces us to the idea of Managed Self Service BI Embracing excel, not …well lets start by looking at the tools that that guy uses
These familiar tools enable great new experiences for the IT Professional and the Information Worker. Information workers get greater agility, and are able to rapidly build and share BI solutions to aid in their everyday, ad-hoc decision making. IT Professionals and BI Practitioners get Oversight to better control what and how data is shared, and Insight into how long and by whom these former underground BI solutions get used.We recently retired the “Gemini” code name and unveiled Microsoft SQL Server PowerPivot for Exceland Microsoft SQL Server PowerPivot for SharePoint.We’re going to spend the next several minutes diving deeper into the underpinnings of PowerPivotwith the principle architect of its enabling technologies and underlying engine. An engine we call VertiPaq.Please join me in welcoming to the stage, Microsoft’s Distinguished Engineer focusing on Business Intelligence, Amir Netz. Amir…
Hence our significant focus in SQL Server 2008 R2 on what we call Managed Self-Service BI.Self-service because we leverage a powerful new in-memory BI engine to give the power-user a better experience working with data of any size and scale. Managed becauseWe integrated all these new innovations in Excel, SharePoint and Analysis Services. The tools you already know and employ as part of your Information infrastructure.
1. Mediterranean Shipping Company (MSC):Company Background Info: Mediterranean Shipping Company (MSC) is the second largest container ship line in the world. MSC is also an existing SQL Server customer managing 22 Terabytes of data on SQL Server 2008. (existing MSC case study: http://www.microsoft.com/casestudies/Case_Study_Detail.aspx?casestudyid=4000003470 )Business Problem: Wanted to use publically available data from the US customs to benchmark themselves against other shipping companies in the market. Business users have never been able to grab all this public data into a single location. Solution:PowerPivot allowed them to pull the public data that they wanted for the time period that they needed. The ability to pull from multiple data sources enabled them to align this data into a format that they could easily analyze and build a meaningful report in a short period of time. (Market and Customer share in TEUs – Twenty foot equivalent units)Technology Highlights:Working with large amounts of data i.e .Leveraging 33 million rows of data, equivalent to 1.7GB of compressed data.Rapid time to solution: It took only 3 hours to pull the solution together. 2. CareGroup Healthcare System:Company Background Info: Based in Boston, CareGroup is the corporate parent of Beth Israel Deaconess Medical Center, a teaching hospital of Harvard Medical School, and three other area hospitals. CareGroup upgraded to SQL Server 2008 to take advantage of new features including advanced auditing and transparent encryption to help it meet HIPAA and other regulatory requirements. CareGroup Healthcare System is responsible for protecting the privacy and integrity of 2 terabytes of patient information and related data. Existing CareGroup case studies: 2009 - http://www.microsoft.com/casestudies/Case_Study_Detail.aspx?casestudyid=4000003892 2007 - http://www.microsoft.com/casestudies/Case_Study_Detail.aspx?casestudyid=4000001003Business Problem:CareGroup and its hospitals needs to proactively protect patient data and meet HIPAA compliance. Needed to obtain data from a very heterogeneous healthcare IT environment and wanted to understand what users were doing to proactively ensure user privacy.Solution: CareGroup Healthcare created this report to understand how people (physicians, nurses, medical staff) are using and accessing patient data. Audit Dashboard: Spots trends in healthcare data usage by department, database, and class type; as well as overall monthly trends (note the dip from 2008 to 2009)Technology Highlights:Merge corporate and unofficial data: Merges SQL Healthcare Audit data with business logic and metadata stored in spreadsheets and other systems. Source was 20GB of data, the workbook was only 1.5MB and it took them only a week to create the solution. PowerPivot allowed them to pull in all of the data in a short amount of time. More importantly, used Excel as a tool to experiment and prototype different report formats and metrics to get to the desired set of reports. Because all of the data was in one work book, was also able to create a map to identify source location for the events.
3. Bank of New Zealand (BNZ)Company Background Info: Bank of New Zealand operates alongside one million New Zealanders, helping them to achieve their financial goals. BNZ focuses on being a total provider of specialized financial services with products including loans, investments, retirement savings, insurance (life, general, health, travel) and private banking. Business Problem:BMZ’s month end reconciliations between General Ledger and Profit & Loss are manual and expected variances not well defined. Fee process requires reconciliation between two sources (2.6mil rows per month to 1,600 aggregated rows per month). No accurate mapping process between the two Fee Hierarchies GL and PnL) and they have two Organisation Hierarchies (Cost centre and Profit Centre). BNZ needs to provide some visualization of the relationship mappings of PnL Fee Type to GL and need one environment for querying and analyzing data .Solution:BNZ used the extensive mapping capabilities of PowerPivot to pull the PnL and GL data together onto a single excel document with ~5 worksheets and 7 PowerPivot datasets. The tabular based layout in excel and new formatting capabilities allowed for an easy visualization of the PnL and GL fees side by side. The excel slicers by Cost Center, Profit Center & Time allow for easy navigation and interaction with the mapped data.Technology Highlights:Built a fairly complex app involving large volumes of data and extensive relationship mapping in PowerPivot. PnL data is 2m rows / month from a DW and GL Data is 1,500 rows / month from SAP.
Point of Slide: Introduce SharePoint 2010 as an all-up platform that can enable BI 2.0 and address the challenges highlighted earlierAnimation: N/ANotes: Microsoft SharePoint 2010is a business-productivity platform that empowers all users to collaborate, discover, and manage their aspect of the business with the right information by using the familiar tools to create and share information without involving IT, and manage, drive and define organizational success by aligning to key metrics and strategy utilizing an extensible, trusted, and secure platform. But how does SharePoint 2010 address the challenges we’ve just discussed from a BI perspective?
Non-NDA slide
SQL Server Parallel Data Warehouse is a data warehouse appliance that offers massive scalability at low cost.[Click to reveal components of SQL Server Parallel Data Warehouse]SQL Server Parallel Data Warehouse is built on the MPP technology acquired with Datallegro, and is provided as an appliance running SQL Server on Windows Server, with standard hardware components from a number of hardware vendors – HP, IBM, Dell, Bull, and EMC. This provides a balanced solution consisting of software and hardware working together.SQL Server Parallel Data Warehouse will support data warehouses that store 100’s of terabytes, and beyond into the petabyte range while offering a low total cost of ownership, previously unseen at this end of the market.SQL Server Parallel Data Warehouse will empower business by providing enterprise class performance and the flexibility of a hub and spoke architecture that enables organizations to implement a data warehouse and data mart ecosystem that meets their needs.
Point of the Slide: To show a bit more detail on how we think of the BI architecture in 3 main layers.Flow of the Slide: A trusted BI platform is critical for a business intelligence solution to work today. If we’re going to achieve the promise of BI, we need to have the confidence and trust in the data, we need to know where it came from, and that it is both timely and reliable for us to use to make a decision. That’s where the power of an integrated BI platform like SQL Server comes into play.Once you have the data ready to use, the middle tier comes into play, where business users actually interact with the data and turn it into something that is useful to them to make the right decision. The numbers that we pull from other systems are just that—we need applications and content to turn them into actionable items—and that’s where the middle tier comes into play. Finally, we need the right tools and applications to ensure that we can use that data in the way we want to in order to make our decisions. Applications and tools that range from personal, to team, to organizational and corporate tools, all with a familiar look and feel, all integrated and working with my Operating system, email, Internet search function. And this is what the power of integration through Microsoft Office brings you. From the Office productivity tools like Excel, through to the team and collaboration tools of SharePoint. By integrating BI seamlessly into a broader business productivity suite that includes search, collaboration, unified communications, and content management, we offer the end user a much richer experience. Soundbite: With other BI solutions, you need 3-4-6-10 different products, footprints, and integration points. In our BI solution, we look three main layers of data and information that you need—all within the Office and SQL Server families: The data infrastructure and BI platform; the middle tier, where the business user comes into play, and the individual layer—where you and I use the data to make decisions.