IBM is redefining business intelligence (BI) by combining reporting, analysis, modeling, planning, and collaboration capabilities into a single enterprise solution. This allows for better decision-making cycles while also removing barriers to being an analytics-driven organization. Specifically, IBM's solution balances user freedom with IT control by infusing traditional BI with personal analytics and performance management capabilities. The goal is to provide users with the freedom to explore and analyze data while also maintaining management and governance from IT.
The document summarizes findings from a study of over 3,000 CIOs across 71 countries and 18 industries. It identifies four distinct "CIO Mandates" that CIOs operate under based on their organization's business needs and goals. The mandates are Expand, Leverage, Transform, and Pioneer. The summary describes the typical responsibilities and focus areas for CIOs working under each mandate. It also provides examples of initiatives and priorities for CIOs depending on their assigned mandate.
The document discusses data-driven decision making and data management. It introduces Deployments Factory SA, which provides data-driven project, program, and portfolio management solutions. The presentation covers:
1) How data-driven decision making can improve organizational performance
2) Challenges of managing large, diverse data sources
3) The "information virtuous cycle" and how the DataFactory concept transforms raw data into useful information to support better decisions
4) Examples of real applications in different domains like project management, risk management, and strategic execution.
How are technology leaders helping their organizations adapt to the
accelerating change and complexity that mark today’s competitive
and economic landscape? To find out, we spoke in person with 622
Midmarket CIOs, spanning growth and mature markets. These in-person
conversations, along with our statistical analyses of responses, underscore
the evermore vital role of the CIO.
ZY Vision specializes in business intelligence solutions like data warehousing, management, and analytics to help companies make better, faster decisions. Their team of experts assists companies across industries to analyze patterns in corporate data. They advise on comprehensive data strategies, design data warehouses, and implement the MicroStrategy business intelligence platform. ZY Vision helps customers gain insights from their enterprise data through reports, dashboards, and mobile business intelligence applications.
Leverage IBM Business Analytics with PMSquarePM square
This document discusses how business intelligence (BI) solutions can meet the analysis needs of different types of business users. It provides an overview of common business questions around performance, factors influencing it, and necessary actions. The document then maps these questions to BI capabilities for reporting, analytics, trend analysis, modeling and planning that can provide insights. It argues that empowering all users with analysis can help address issues more quickly and make better decisions. An example shows how understanding production shortfalls and their drivers allows modeling scenarios to avoid future shortages.
Business intelligence provides information but not tools to take action, while business process management makes intelligence actionable by defining processes, simulating improvements, and integrating processes into operations. Existing systems often don't match real processes, but business process management captures interactions and exchanges as repeatable solutions. Combining business intelligence insights with business process management allows defining improved processes and measuring results within 30 to 90 days.
DB2 for z/OS Update Data Warehousing On System ZSurekha Parekh
Abstract:
Data Warehouses delivers the floor in most Business analytics solution. Recent analysis reveals that the demand for near-real-time data, as well as integration between day-to-day business applications increases.
IBM will share insight on today’s business environment and its impact on an IT organization’s ability to deliver a competitive Business Analytics and Data Warehousing strategy. You will learn how DB2 for z/OS combined with other InfoSphere data movement offerings from IBM can help enable information on demand – user demands.
Improving Organizational Performance Through Pervasive Business IntelligenceFindWhitePapers
Explore the growing body of evidence suggesting a direct link between investment in business analytics solutions and organizational performance. This white paper highlights market trends that point toward more pervasive use of BI solutions. The recommendations presented are based on ongoing IDC coverage of the BI and analytics solutions market.
The document summarizes findings from a study of over 3,000 CIOs across 71 countries and 18 industries. It identifies four distinct "CIO Mandates" that CIOs operate under based on their organization's business needs and goals. The mandates are Expand, Leverage, Transform, and Pioneer. The summary describes the typical responsibilities and focus areas for CIOs working under each mandate. It also provides examples of initiatives and priorities for CIOs depending on their assigned mandate.
The document discusses data-driven decision making and data management. It introduces Deployments Factory SA, which provides data-driven project, program, and portfolio management solutions. The presentation covers:
1) How data-driven decision making can improve organizational performance
2) Challenges of managing large, diverse data sources
3) The "information virtuous cycle" and how the DataFactory concept transforms raw data into useful information to support better decisions
4) Examples of real applications in different domains like project management, risk management, and strategic execution.
How are technology leaders helping their organizations adapt to the
accelerating change and complexity that mark today’s competitive
and economic landscape? To find out, we spoke in person with 622
Midmarket CIOs, spanning growth and mature markets. These in-person
conversations, along with our statistical analyses of responses, underscore
the evermore vital role of the CIO.
ZY Vision specializes in business intelligence solutions like data warehousing, management, and analytics to help companies make better, faster decisions. Their team of experts assists companies across industries to analyze patterns in corporate data. They advise on comprehensive data strategies, design data warehouses, and implement the MicroStrategy business intelligence platform. ZY Vision helps customers gain insights from their enterprise data through reports, dashboards, and mobile business intelligence applications.
Leverage IBM Business Analytics with PMSquarePM square
This document discusses how business intelligence (BI) solutions can meet the analysis needs of different types of business users. It provides an overview of common business questions around performance, factors influencing it, and necessary actions. The document then maps these questions to BI capabilities for reporting, analytics, trend analysis, modeling and planning that can provide insights. It argues that empowering all users with analysis can help address issues more quickly and make better decisions. An example shows how understanding production shortfalls and their drivers allows modeling scenarios to avoid future shortages.
Business intelligence provides information but not tools to take action, while business process management makes intelligence actionable by defining processes, simulating improvements, and integrating processes into operations. Existing systems often don't match real processes, but business process management captures interactions and exchanges as repeatable solutions. Combining business intelligence insights with business process management allows defining improved processes and measuring results within 30 to 90 days.
DB2 for z/OS Update Data Warehousing On System ZSurekha Parekh
Abstract:
Data Warehouses delivers the floor in most Business analytics solution. Recent analysis reveals that the demand for near-real-time data, as well as integration between day-to-day business applications increases.
IBM will share insight on today’s business environment and its impact on an IT organization’s ability to deliver a competitive Business Analytics and Data Warehousing strategy. You will learn how DB2 for z/OS combined with other InfoSphere data movement offerings from IBM can help enable information on demand – user demands.
Improving Organizational Performance Through Pervasive Business IntelligenceFindWhitePapers
Explore the growing body of evidence suggesting a direct link between investment in business analytics solutions and organizational performance. This white paper highlights market trends that point toward more pervasive use of BI solutions. The recommendations presented are based on ongoing IDC coverage of the BI and analytics solutions market.
This document discusses key points for executives regarding data governance. It outlines that the purpose of data governance within master data management is to make critical data policy decisions and ensure data is accurate, consistent and reliable. Both business processes and technology are needed for successful data governance. The concepts of data governance aim to treat data as a valuable business asset, like financial assets, through centralized ownership and standard policies. The document also provides examples of how to build a business case for data governance by demonstrating its value across various business operations.
The document discusses how most enterprises are investing in big data and real-time analytics initiatives to gain competitive advantages, but many IT organizations lack strategies to align these technologies with business goals. It describes how new data sources can provide richer customer insights and how real-time analytics can enable more timely operational decisions. However, organizations must evaluate whether their specific use cases require real-time data or would benefit more from traditional BI.
Information management is key to business growth. It is a competitive advantage with the same merit as product knowledge and inventory availability. These once-held corporate competitive advantages are now considered “tickets to entry” and rather indistinguishable. Regulatory protections are largely gone, and when comparing your company’s features and functions, “demo parity” is the norm, especially within the larger industries.
Business intelligence and IT governance are increasingly important for modern businesses. Business intelligence involves collecting and analyzing large amounts of data to help businesses make better decisions. It has evolved from early attempts by businesses to understand their own information and markets. Modern business intelligence utilizes tools like dashboards, scorecards, and data warehouses. IT governance ensures that business and IT strategies are aligned and that information technology supports business objectives. Business intelligence 2.0 takes analysis a step further by enabling more interactive and flexible analysis of both structured and unstructured data.
This document provides an overview of master data management (MDM) and how organizations can treat data as a key asset. It discusses how as companies grow, their data becomes fragmented across different systems. This leads to inconsistencies and a lack of a single view of critical data like customers. The document defines MDM and explains how it can integrate master data to provide a consistent view. It argues that as data drives business operations, organizations should manage data as strategically as they do physical assets to maximize its value.
This document summarizes the key benefits of integrating business intelligence capabilities with Microsoft SharePoint. It discusses how SharePoint can help address three legacy issues with BI: noise in data, lack of fit for purpose, and lack of access and visibility. The document outlines Microsoft's BI roadmap using SharePoint and how this provides interactive dashboards and scorecards to give insights at all organizational levels. It positions SharePoint as providing a solution to common excuses around data security, time pressures, costs and complexity that have hindered BI adoption in the past.
The Business Data Catalogue provides a method of integrating business data from back-end server applications, such as SAP or Siebel or other line of business applications, into Microsoft Office SharePoint Server 2007, without writing any code. Business Intelligence with Office SharePoint Server 2007 provides a framework for accessing that data, and for providing a toolset for business decision makers to turn the raw data into critical business information.
This presentation is designed to provide the audience with an overview of how BI can be used to create visual dashboards that assemble and display business information from multiple sources (e.g. Excel Services, SQL Reporting) using built-in web parts.
This is a business session and does not cover the technical implementation of BDC.
The white paper discusses SAS's platform for business analytics which provides a unified infrastructure for data integration, analytics, and reporting. This platform allows organizations to integrate different data sources and systems, gain insights through predictive analytics, and provide reporting tools. It helps organizations address challenges like supporting growth, managing increasing demand for data and intelligence, and extracting more value from existing IT assets.
When Worlds Collide: Intelligence, Analytics and OperationsInside Analysis
The Briefing Room with Shawn Rogers and Composite Software
Slides from the Live Webcast on May 15, 2012
Everyone wants more data these days, though often for different reasons. Business analysts, data scientists and front-line workers all know the value of having that extra piece of information. The big question remains -- how can all these needs be supported without taxing IT and without breaking the bank? And how can the worlds of traditional Business Intelligence, Big Data Analytics and Transaction Systems combine to improve business outcomes?
In this episode of The Briefing Room, veteran Analyst Shawn Rogers of Enterprise Management Associates explains what is needed to take advantage from today's hybrid data ecosystem. He'll be briefed by Bob Eve of Composite Software who will explain how innovative enterprises are using data virtualization to gain insight across these worlds and doing so with greater agility and lower costs.
For more information visit: http://www.insideanalysis.com
Watch us on YouTube: http://www.youtube.com/playlist?list=PL5EE76E2EEEC8CF9E
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM USIBM Danmark
This document discusses IBM Smarter Analytics signature solutions. It introduces how these solutions tackle high-value initiatives, deliver proven outcomes, and accelerate time-to-value. Examples of solutions addressed include increasing customer value, anticipating financial decisions, and preventing losses from fraud. These solutions bring together IBM's intellectual capital and analytics capabilities to deliver results for industries such as telecommunications, banking, insurance, and more.
This document provides an introduction and table of contents for the 22nd issue of The Architecture Journal. The issue focuses on business intelligence and includes articles on developing an enterprise BI strategy, embedding business insights into line-of-business applications, global data warehouse design, empowering business users with self-serve BI, and a semantic enterprise data model. There is also an article on lightweight service-oriented architecture implementations.
Delivering ITaaS With a Software-Defined Data CenterEMC
This document discusses delivering IT as a service (ITaaS) using a software-defined data center (SDDC). Key points include:
1) ITaaS allows IT to quickly respond to changing business needs through standardized, virtualized solutions deployed on demand.
2) An SDDC enables automated, elastic provisioning of compute, storage, networking and security resources according to policies.
3) ITaaS positions IT as a strategic partner rather than just a support function, improving its ability to enable the business.
If you are a senior IT leader, you need to make the same kinds of disciplined choices for your department that the CEO and top leadership team are making about the strategic direction of the enterprise. Here's how to develop a sophisticated, more strategically oriented information technology approach--based on six ways to create value for the enterprise, and five archetypes that resolve the tension among those six value drivers.
Sanjay Mehta, CEO of MAIA Intelligence, highlights
the barriers preventing IT managers from adopting business intelligence, while delving into its innovations and capabilities.
This is an excerpts from an interview taken by N. Geetha, Executive Editor, ITNext and published in October 2011 issue by 9Dot9 Media.
A new dual-model approach to IT management is proposed that separates IT functions into "Factory IT" and "Enabling IT". Factory IT aims to drive efficiency and reduce costs through standardization, lean techniques, and automation. Enabling IT focuses on supporting innovation through rapid experimentation, close business collaboration, and enabling new technologies like data analytics and Web 2.0 tools. The document discusses how each model operates and the organizational changes needed to effectively implement this new dual-model approach to IT leadership and governance.
The document introduces the concept of the predictive enterprise, which uses emerging technologies to analyze large amounts of data in real-time and anticipate future business issues. This allows businesses to transition from being reactive to proactive. The key is reducing the gap between analyzing data (knowledge) and taking actions (execution). The predictive enterprise requires capabilities to capture, manage, access, analyze and respond to data from various sources. Intel sees its role as enabling this model through architecture-based technologies that support computing capabilities for sensing, predicting and acting on information.
Green, Governance and Growth are the three quintessential features for a next generation data center; resulting in lower cost, better industry compliance and contribution to overall business growth.
HCL and EMC have joined hands to provide G3 data centers in post recession era helping CIOs to transform their Data Centers.
Social media has taken the business world by storm. Many companies struggle as they try to build successful strategies with social networking tools. When used purposefully, these media can communicate not only products and services, but also business goals, vision, mission, and values. Social networking has great potential in marketing, sales, customer service, and recruitment efforts. Human resource professionals can be catalysts in addressing the social media challenge in their organizations. This workshop will describe common business uses of social media with real life examples. As a result of this program, participants will be able to:
• Identify the business benefits of social networking
• Leverage social media to increase effectiveness of corporate communication
• Build a successful social media strategy within their companies
• Measure social media ROI (Return on Investment).
This document discusses digital banking strategies and the transition from traditional to digital banking models. It analyzes the strengths, weaknesses, opportunities, and threats of digital versus branch banking. Survey results show most customers prefer digital banking and mobile apps. The document recommends strategies for ING Vysya Bank to improve its digital offerings, such as developing mobile banking apps, an e-wallet, personal finance tools, and partnerships to drive customer acquisition and retention. Adopting new digital technologies is crucial for the bank to reduce costs and better serve customers into the future.
This document discusses key points for executives regarding data governance. It outlines that the purpose of data governance within master data management is to make critical data policy decisions and ensure data is accurate, consistent and reliable. Both business processes and technology are needed for successful data governance. The concepts of data governance aim to treat data as a valuable business asset, like financial assets, through centralized ownership and standard policies. The document also provides examples of how to build a business case for data governance by demonstrating its value across various business operations.
The document discusses how most enterprises are investing in big data and real-time analytics initiatives to gain competitive advantages, but many IT organizations lack strategies to align these technologies with business goals. It describes how new data sources can provide richer customer insights and how real-time analytics can enable more timely operational decisions. However, organizations must evaluate whether their specific use cases require real-time data or would benefit more from traditional BI.
Information management is key to business growth. It is a competitive advantage with the same merit as product knowledge and inventory availability. These once-held corporate competitive advantages are now considered “tickets to entry” and rather indistinguishable. Regulatory protections are largely gone, and when comparing your company’s features and functions, “demo parity” is the norm, especially within the larger industries.
Business intelligence and IT governance are increasingly important for modern businesses. Business intelligence involves collecting and analyzing large amounts of data to help businesses make better decisions. It has evolved from early attempts by businesses to understand their own information and markets. Modern business intelligence utilizes tools like dashboards, scorecards, and data warehouses. IT governance ensures that business and IT strategies are aligned and that information technology supports business objectives. Business intelligence 2.0 takes analysis a step further by enabling more interactive and flexible analysis of both structured and unstructured data.
This document provides an overview of master data management (MDM) and how organizations can treat data as a key asset. It discusses how as companies grow, their data becomes fragmented across different systems. This leads to inconsistencies and a lack of a single view of critical data like customers. The document defines MDM and explains how it can integrate master data to provide a consistent view. It argues that as data drives business operations, organizations should manage data as strategically as they do physical assets to maximize its value.
This document summarizes the key benefits of integrating business intelligence capabilities with Microsoft SharePoint. It discusses how SharePoint can help address three legacy issues with BI: noise in data, lack of fit for purpose, and lack of access and visibility. The document outlines Microsoft's BI roadmap using SharePoint and how this provides interactive dashboards and scorecards to give insights at all organizational levels. It positions SharePoint as providing a solution to common excuses around data security, time pressures, costs and complexity that have hindered BI adoption in the past.
The Business Data Catalogue provides a method of integrating business data from back-end server applications, such as SAP or Siebel or other line of business applications, into Microsoft Office SharePoint Server 2007, without writing any code. Business Intelligence with Office SharePoint Server 2007 provides a framework for accessing that data, and for providing a toolset for business decision makers to turn the raw data into critical business information.
This presentation is designed to provide the audience with an overview of how BI can be used to create visual dashboards that assemble and display business information from multiple sources (e.g. Excel Services, SQL Reporting) using built-in web parts.
This is a business session and does not cover the technical implementation of BDC.
The white paper discusses SAS's platform for business analytics which provides a unified infrastructure for data integration, analytics, and reporting. This platform allows organizations to integrate different data sources and systems, gain insights through predictive analytics, and provide reporting tools. It helps organizations address challenges like supporting growth, managing increasing demand for data and intelligence, and extracting more value from existing IT assets.
When Worlds Collide: Intelligence, Analytics and OperationsInside Analysis
The Briefing Room with Shawn Rogers and Composite Software
Slides from the Live Webcast on May 15, 2012
Everyone wants more data these days, though often for different reasons. Business analysts, data scientists and front-line workers all know the value of having that extra piece of information. The big question remains -- how can all these needs be supported without taxing IT and without breaking the bank? And how can the worlds of traditional Business Intelligence, Big Data Analytics and Transaction Systems combine to improve business outcomes?
In this episode of The Briefing Room, veteran Analyst Shawn Rogers of Enterprise Management Associates explains what is needed to take advantage from today's hybrid data ecosystem. He'll be briefed by Bob Eve of Composite Software who will explain how innovative enterprises are using data virtualization to gain insight across these worlds and doing so with greater agility and lower costs.
For more information visit: http://www.insideanalysis.com
Watch us on YouTube: http://www.youtube.com/playlist?list=PL5EE76E2EEEC8CF9E
Smarter Analytics giver dig indsigt i hele forretningen, Rich Holada, IBM USIBM Danmark
This document discusses IBM Smarter Analytics signature solutions. It introduces how these solutions tackle high-value initiatives, deliver proven outcomes, and accelerate time-to-value. Examples of solutions addressed include increasing customer value, anticipating financial decisions, and preventing losses from fraud. These solutions bring together IBM's intellectual capital and analytics capabilities to deliver results for industries such as telecommunications, banking, insurance, and more.
This document provides an introduction and table of contents for the 22nd issue of The Architecture Journal. The issue focuses on business intelligence and includes articles on developing an enterprise BI strategy, embedding business insights into line-of-business applications, global data warehouse design, empowering business users with self-serve BI, and a semantic enterprise data model. There is also an article on lightweight service-oriented architecture implementations.
Delivering ITaaS With a Software-Defined Data CenterEMC
This document discusses delivering IT as a service (ITaaS) using a software-defined data center (SDDC). Key points include:
1) ITaaS allows IT to quickly respond to changing business needs through standardized, virtualized solutions deployed on demand.
2) An SDDC enables automated, elastic provisioning of compute, storage, networking and security resources according to policies.
3) ITaaS positions IT as a strategic partner rather than just a support function, improving its ability to enable the business.
If you are a senior IT leader, you need to make the same kinds of disciplined choices for your department that the CEO and top leadership team are making about the strategic direction of the enterprise. Here's how to develop a sophisticated, more strategically oriented information technology approach--based on six ways to create value for the enterprise, and five archetypes that resolve the tension among those six value drivers.
Sanjay Mehta, CEO of MAIA Intelligence, highlights
the barriers preventing IT managers from adopting business intelligence, while delving into its innovations and capabilities.
This is an excerpts from an interview taken by N. Geetha, Executive Editor, ITNext and published in October 2011 issue by 9Dot9 Media.
A new dual-model approach to IT management is proposed that separates IT functions into "Factory IT" and "Enabling IT". Factory IT aims to drive efficiency and reduce costs through standardization, lean techniques, and automation. Enabling IT focuses on supporting innovation through rapid experimentation, close business collaboration, and enabling new technologies like data analytics and Web 2.0 tools. The document discusses how each model operates and the organizational changes needed to effectively implement this new dual-model approach to IT leadership and governance.
The document introduces the concept of the predictive enterprise, which uses emerging technologies to analyze large amounts of data in real-time and anticipate future business issues. This allows businesses to transition from being reactive to proactive. The key is reducing the gap between analyzing data (knowledge) and taking actions (execution). The predictive enterprise requires capabilities to capture, manage, access, analyze and respond to data from various sources. Intel sees its role as enabling this model through architecture-based technologies that support computing capabilities for sensing, predicting and acting on information.
Green, Governance and Growth are the three quintessential features for a next generation data center; resulting in lower cost, better industry compliance and contribution to overall business growth.
HCL and EMC have joined hands to provide G3 data centers in post recession era helping CIOs to transform their Data Centers.
Social media has taken the business world by storm. Many companies struggle as they try to build successful strategies with social networking tools. When used purposefully, these media can communicate not only products and services, but also business goals, vision, mission, and values. Social networking has great potential in marketing, sales, customer service, and recruitment efforts. Human resource professionals can be catalysts in addressing the social media challenge in their organizations. This workshop will describe common business uses of social media with real life examples. As a result of this program, participants will be able to:
• Identify the business benefits of social networking
• Leverage social media to increase effectiveness of corporate communication
• Build a successful social media strategy within their companies
• Measure social media ROI (Return on Investment).
This document discusses digital banking strategies and the transition from traditional to digital banking models. It analyzes the strengths, weaknesses, opportunities, and threats of digital versus branch banking. Survey results show most customers prefer digital banking and mobile apps. The document recommends strategies for ING Vysya Bank to improve its digital offerings, such as developing mobile banking apps, an e-wallet, personal finance tools, and partnerships to drive customer acquisition and retention. Adopting new digital technologies is crucial for the bank to reduce costs and better serve customers into the future.
The document provides information about an upcoming energy conference that will discuss key issues and opportunities in BC's power sector. Over two days, experts from industry, government, and academia will present on topics like BC Hydro's latest electricity demand forecast, the progress and opportunities of LNG projects in BC, challenges around meeting infrastructure needs, and the relationship between the BC government and private sector as the province aims to meet its power and sustainability goals. Attendees will gain insights on shaping developments and have opportunities to network with leaders in the BC power industry.
Explores the public library collection as a discovery tool. Browsing as a primary human search practice; weeding; other collection maintenance and merchandising techniques that improve the reader's experience while in the library and at the shelf.
Committed to Shareholder Value Creation - CIBC Whistler Institutional Investo...AuRico Gold
Young-Davidson mine: The document discusses the Young-Davidson mine in Canada, which is projected to produce between 120,000-140,000 ounces of gold in 2013 at cash costs of $575-675 per ounce. Reserves at the mine total 3.8 million ounces.
El Chanate mine: Production at the El Chanate mine in Mexico is estimated at 70,000-80,000 ounces in 2013 at cash costs of $475-525 per ounce. Proven and probable reserves at El Chanate total 1.3 million ounces.
Key highlights: The presentation emphasizes CIBC's high quality, low cost asset base in North America and organic growth profile through projects like Young-David
This map shows the physical features and political divisions of South America, including major rivers such as the Amazon and Parana Rivers, the Andes Mountains, and national capitals such as Brasilia, Buenos Aires, and Bogota. Major cities, rainforests, plateaus, and other geographical elements are also indicated on the map.
This document summarizes a study of CEO succession events among the largest 100 U.S. corporations between 2005-2015. The study analyzed executives who were passed over for the CEO role ("succession losers") and their subsequent careers. It found that 74% of passed over executives left their companies, with 30% eventually becoming CEOs elsewhere. However, companies led by succession losers saw average stock price declines of 13% over 3 years, compared to gains for companies whose CEO selections remained unchanged. The findings suggest that boards generally identify the most qualified CEO candidates, though differences between internal and external hires complicate comparisons.
The document discusses three approaches to business intelligence (BI) that organizations can take to improve decision making:
1. IT-centric - Focuses on analyzing historical data to understand what happened in the past. Asks "What happened?"
2. Information management - Enables real-time decision making by integrating data sources. Asks "How are we doing and what can we tweak now?"
3. Predictive insight - Adds advanced analytics to anticipate the future and identify opportunities. Asks "What will happen next and how can we optimize outcomes?" More advanced organizations use this approach.
Find how to add more value to your Business Intelligence and Performance Management solutions by incorporating predictive analytics using IBM Cognos 10. Learn about the integration of Predictive Analytics and SPSS functionality, and how it fits with the Cognos platform. View the video recording and download this deck: http://www.senturus.com/resources/ibm-cognos-10-demo-predictive-analytics/.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
This document discusses business intelligence (BI), including its concepts, components, techniques, and benefits. It defines BI as the process of collecting, analyzing, and presenting large amounts of enterprise data to help managers make better business decisions. The key components of BI discussed are online analytical processing (OLAP) and extraction, transformation, and loading (ETL) tools. BI is described as an integrated solution that analyzes detailed business data and reports to address business needs through technologies like data warehousing and reporting.
ZY Vision provides business intelligence solutions including data warehousing, management and consulting. Their solutions help clients effectively analyze data patterns to make better, faster decisions. Some key offerings include visualizations for real-time data, BI platform consulting and sales, and data warehousing. Testimonials from clients highlight time and money saved through working with ZY Vision.
Research in the performance of business intelligence tools finds that most deployments serve less than 15% of the enterprise population requiring insights to make better decisions. Surprising then that corporations on average employ more than 15 different BI tools. The high cost and complexity to change means that many Enterprise BI software suites focus on answering questions that are already well understood. Learning lessons from previous deployments suggest the future of business intelligence lies in nimble tools that extend collaborative workspaces with ‘instant insight’.
How to become an Analytics-driven organization - and why bother? - IBM Smarte...IBM Sverige
Presentation från IBM Smarter Business 2011. Spår: IBM Cognos Performance.
Information is the oil of the future. It will be the resource running our economy in ways not possible in the past. In this era of extreme information organizations need to understand how to find the information that really matters and how to draw intelligence from it. They need to become Analytics-driven.
Talare: Juha Teljo, Business Analytics Executive.
Mer information på www.smarterbusiness.se
The document discusses business analytics and big data. It provides an overview of key concepts like business process analytics, enterprise analytics capability, case studies on implementing analytics, and frameworks for business strategy, IT strategy, business process management, and enterprise architecture. The summaries emphasize linking analytics to business processes and strategy to drive business value from big data.
This document provides an overview of business intelligence (BI). It defines BI as a technology infrastructure that analyzes available data to improve business processes and make effective decisions. The main components of a BI infrastructure include software to gather, clean, integrate, analyze and share data. The purpose of BI is to help executives and managers make better informed decisions to cut costs, find new opportunities and improve inefficient processes. Key benefits of BI include accelerating decision making, optimizing processes, increasing efficiency, and gaining competitive advantages. BI differs from business analytics in that BI describes past and current states, while business analytics uses software to predict future outcomes or prescribe optimal approaches.
An asset management firm is able to increase its marketing offer acceptance rate by 300%, an insurance company is able to identify fraudulent claims 30 days faster than before, a manufacturer is able to anticipate equipment maintenance issues, a bank is able to identify 50% of fraud cases within the first hour, and a communications company is able to increase customer satisfaction as measured by net promoter score by 53%.
The document discusses the business value of predictive analytics based on research from IBM and IDC. Some key points:
1) Predictive analytics can significantly increase business metrics like marketing offer acceptance rates by 300% and identify fraudulent claims 30 days faster.
2) The ROI of predictive analytics projects is around 250%, significantly higher than non-predictive projects. Predictive analytics provide sustained benefits over time.
3) Case studies show how predictive analytics helped an asset manager increase revenues, an insurer reduce costs and fraud, and a communications company improve customer satisfaction.
Business Intelligence, Portals, Dashboards and Operational Matrix with ShareP...Optimus BT
This document discusses business intelligence (BI) trends and the role of SharePoint 2010 in enabling BI capabilities. It outlines trends driving BI like predictive and real-time analytics. The vision is described as strategy-driven BI execution across the enterprise using tools like dashboards, reports and collaboration. SharePoint 2010 supports BI through features for self-service, group and organizational BI like Excel services, reporting and collaboration tools. Examples are provided of dashboards and reports built in SharePoint 2010.
The document discusses how most enterprises are embarking on or plan to embark on big data initiatives, but most IT organizations do not have an articulated big data strategy. It explores how organizations can embrace big data and real-time analytics to gain immediate improvements and a competitive edge. New sources of data beyond traditional transaction data can provide richer customer insights. While business sees opportunities, IT organizations face challenges in adopting big data concepts. The first step for IT is to evaluate infrastructure to support anticipated growth in volume, velocity, variety and complexity of data.
This document discusses IBM's business analytics development strategy as part of its "Smarter Planet" initiative. It provides examples of how IBM analytics solutions have helped organizations gain insights from large amounts of data, improve business performance, and optimize processes like marketing campaigns. The solutions discussed use IBM analytics software like SPSS Modeler to perform tasks like customer segmentation, predictive modeling, and data mining. Overall the document promotes IBM's full suite of business intelligence and predictive analytics capabilities.
Unleashing the Power of Business Intelligence Software Solutions.pdfChetu
BI software empowers organizations to transform raw data into actionable insights, enabling them to drive growth, optimize operations, and enhance decision-making processes.
Reaping the Benefits of Next Generation DashboardsFindWhitePapers
Traditional BI solutions face many obstacles and limitations. However, the need for timely and succinct business intelligence (BI) continues to grow.
Ziff Davis Benefits of Next Generation DashboardsSAP
Next generation dashboards provide concise yet comprehensive business intelligence to executives and managers across an organization. They visualize data from multiple sources in an intuitive format, and enable interactive analysis through simple navigation. By aligning business processes with up-to-date information, next generation dashboards help users make faster, more informed decisions to improve operations and seize new opportunities.
Next generation dashboards provide concise yet comprehensive business intelligence to both executives and operational staff. They visualize data from multiple sources in an intuitive format, and allow users to interact with and explore the information. This helps users make faster, more informed decisions. Next generation dashboards also bridge gaps between IT and business users by empowering non-technical staff to build and customize dashboards aligned with business needs.
The document summarizes findings from a study of over 3,000 CIOs across 71 countries and 18 industries. It identifies four distinct "CIO Mandates" that CIOs operate under based on their organization's business needs and goals. The mandates are Expand, Leverage, Transform, and Pioneer. The summary describes the typical responsibilities and focus areas for CIOs working under each mandate. It also provides examples of initiatives and priorities for each mandate based on responses from CIOs in the study.
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1. IBM Software Cognos Business Intelligence and Performance Management
Business Analytics
Traditional BI infused with performance
management and personal analytics:
Balancing user freedom with IT control
IBM Cognos Enterprise
2. Traditional BI infused with performance management and personal analytics: Balancing user freedom with IT control
Executive summary
Contents Top performing organizations are analytics-driven. They
2 Executive summary use business intelligence (BI), performance and strategy
management, statistical analysis, modeling and predictive
3 The search for analytic freedom and control
and advanced analytics to guide their actions, large and small
3 Making better, smarter decisions
and in all corners of their businesses. They not only know
6 Arming every user with what they need
the answers to how they are doing and why, but they also
11 Supporting where and how users work know what to do next to stay ahead of the competition. Their
13 Meeting the needs of both the business and IT decisions are better and smarter.
14 Conclusion
A 2010 joint study by MIT Sloan and sponsored by IBM
indicates that more organizations want to invest in business
analytics solutions to become analytics-driven. However,
many feel constrained by traditional business intelligence
(reporting, analysis, dashboards and scorecards) investments
that have been made or integrated haphazardly, with little
thought to how the business as a whole might benefit from
the data or insight they provide. For the best business
outcomes, companies need an agile BI solution infused with
personal analytics capabilities and integrated with planning
and forecasting, analysis, profitability modeling and
performance reporting. Companies also need a solution
that is modular, integrated, scalable and open so their IT
organizations are not hampered with excessive implementation,
deployment, management and maintenance tasks.
2
3. Business Analytics
IBM is redefining BI with an enterprise solution that brings Centralized BI provides dashboards and reports that tip
reporting, analysis, modeling, planning and collaboration the balance toward IT control, offering a certain amount
together for better decision-making cycles and to help remove of personalization and interactivity but in a managed
the barriers to being analytics-driven.1 This paper describes environment and with a managed dataset. Decentralized
how IBM is infusing traditional BI with personal analytics and data discovery tips the balance the other way toward freedom
performance management to balance user freedom and IT of analysis with personal data sets; however, this comes at
control. It introduces IBM® Cognos® Enterprise, the solution the price of generating separate and often incompatible
that can help your organization take advantage of this new data and getting answers that might not be complete.
kind of BI — one where the sky’s the limit.
IBM has worked with organizations in the past that like
the idea of analytic freedom but also want control. These
organizations often feel trapped because they believe that
IBM is redefining BI with an enterprise choosing one means giving up the other. The good news is
solution that brings reporting, analysis, that this choice is no longer necessary. IBM now has a solution
modeling, planning and collaboration designed to provide both analytic freedom and management
control so your company can make better, smarter decisions
together for better decision-making cycles without being bound to one type of solution.
and to help remove the barriers to being
analytics driven. Making better, smarter decisions
A recent IBM study shows that organizations that use analytics
to determine why and what they need to be doing next are
twice as likely to outperform their industry peers.2 These
The search for analytic freedom
organizations have infused their business intelligence with
and IT control data exploration, trend and statistical analysis, what-if
Businesses have been searching for some time for the best
analysis and predictive analytics to become analytics-driven
solutions for answering the question “How are we doing?”
organizations. They have become top performers because
In the 1980s, businesses often used different types of
they are relying on analytics for their decisions.
proprietary reporting in each line of business, which gave
way in the 1990s to centrally managed report creation and
These top performers operate their businesses differently
distribution. In the mid-2000s, discovery tools emerged and
from their peers. They use analytics for all types of decisions,
businesses went back and forth between centralized and
large and small. Analytics guides their goals and objectives for
decentralized solutions.
the future; insight is the basis for their daily operations and
rigorous analysis guides their decisions. The correlation
between performance and analytics-driven management has
important implications for organizations who want to make
better use of their data.
3
4. Traditional BI infused with performance management and personal analytics: Balancing user freedom with IT control
A critical barrier to becoming analytics-driven is how
organizations have approached the adoption of business
intelligence and analytics technology, which returns to
the centralized or decentralized debate. Different parts or
divisions of an organization might be using different business
intelligence and analytics solutions or multiple tools that
Smith and Associates reacts faster to emerging satisfy different needs might have been shoe-horned together
opportunities with Cognos Enterprise in an attempt at integration. In some cases, departments have
purchased their own desktop tools because IT couldn’t satisfy
Smith and Associates is a world-leading distributor of user needs fast enough. The result is user frustration because:
electronic components. The company regularly deals with
complex electronics supply chains. Therefore, Smith and • They are faced with multiple interfaces and tools.
Associates must source the right electronic components at • They must wait for IT to deliver changes and enhancements.
the right price and meet customers’ tight manufacturing • They cannot easily share information with key stakeholders.
schedules. The company uses Cognos Enterprise to view • They cannot reach all the relevant facts they need.
and assess inventory levels, pricing and the supply chain,
so their traders can source, purchase and deliver the Analytics-driven business intelligence served up the way it’s
components that customers need. Analytics have also been needed helps all users assess current facts and past history,
embedded into the traders’ existing systems, providing determine what might happen based on trends and adjust
seamless access to reports even while the traders are on the as the marketplace changes to gain and retain competitive
phone to customers. As a result, traders and trade managers advantage. Integrate it with performance management
have a clearer understanding of important factors, such as
solutions and everything is there to help your organization
cost of inventory, helping them make better sales decisions
become top performing and analytics driven. From the
while maintaining profit margins. The company says that
many reporting processes are twice as fast as they used
desktop, mobile and from the web, users in your organization
to be, and the company expects even faster performance can start almost anywhere — with a solution for workgroups,
when they start using a Cognos enhanced query process. for example — and add more functionality, such as statistical
analysis, continuous forecasting or real-time monitoring — as
you need it. IBM now offers Cognos Enterprise, a solution
that provides all this and more.
4
5. Business Analytics
A powerful and flexible solution that includes BI capabilities
infused with personal analytics and performance management
from a company with business analytics expertise, Cognos
Enterprise can help everyone in your company base decisions
on facts. Cognos Enterprise is designed to scale from hundreds
to thousands of users, and it can be accessed from wherever in
your company it is needed and from smart phones, tablets and
notebook computers. Business users can quickly find historical
One big, happy family facts, real-time information and predictive models (Figure 1)
that help drive their decisions. Business analysts can develop
The IBM Cognos 10 family helps put analytics into the hands
of everyone to drive better business outcomes. Right-sized
and share models to test scenarios. Finance and other users
and integrated to meet the needs of your organization, the have the flexibility and information to create and adapt plans,
members of the Cognos 10 family include: budgets and forecasts.
• Cognos Insight—for individuals who want freedom and
flexibility of desktop analytics
• Cognos Express—for workgroups, departments or midsize
businesses who need to be up and running fast with a
solution that is easy to install and manage
• Cognos Enterprise—for organizations who need to meet
strategic objectives spanning multiple functions, levels and
business units
Whether you want to deploy to a couple of desktops or to
your entire enterprise, IBM has the solution for you. You can
even address your most pressing needs now and grow your
solution over time. With the Cognos 10 family, you get the
flexibility and ease of use that the business demands while
providing IT with integrated, easy-to-manage software that
seamlessly grows with evolving needs.
Figure 1: Historical facts, real-time data and predictive models in one
unified workspace.
5
6. Traditional BI infused with performance management and personal analytics: Balancing user freedom with IT control
In short, Cognos Enterprise is designed to arm every user with
what they need to act, support the way users want to work and
meet the needs of both the business and IT.
Arming every user with what they need
Users need quick access to facts and the flexibility to manage
information so they can make informed decisions. With
Cognos Enterprise, business users in your organization can:
OMERS streamlines reporting, external
audits and more • Assemble relevant information to understand the business.
• Analyze information to make fact-based recommendations.
With more than $53,000,000,0000 in net assets in 2010,
• Share and collaborate in analytics processes to achieve
OMERS is one of Canada’s leading pension funds. It
administers a diversified global portfolio of stocks and alignment.
bonds, along with real estate, infrastructure and private • Act on findings to drive better business outcomes.
equity investments that consistently yield superior returns,
ultimately funding almost 70 percent of the plan over the And, IT can deliver a system that helps users outperform with
long-term. Building on previous success with IBM Business confidence knowing they have complete understanding of their
Analytics software, OMERS chose to deploy Cognos business.
Enterprise for financial reporting, planning and forecasting,
uniting 41 sets of books and 9 charts of accounts into a Assembling relevant information
single entity, eliminating manual reconciliations and saving Assembling relevant information involves three main activities:
several days per quarter. Financial reports are generated
faster and financial planning processes are now automated, • Quickly and easily finding the most relevant content with
which eliminates the need to hire external consultants, integrated search (Figure 2) and navigation
saving up to $15,000 a year. In addition, the solution
• Monitoring the pulse of the business in a single workspace
has streamlined an allocation process that previously
that shows historical information alongside real-time updates,
took 1.5 hours of pure system processing time for each
iteration, and it can now be executed in minutes, saving
plans and predictive results
approximately 30 hours annually. • Easily exploring and personalizing information by formatting
content and adding visualizations and calculations to gain
richer insight
6
7. Business Analytics
How does it work? With integrated search, users can navigate
content to find the right information. They can interact with
that information in an interface designed to help them explore,
personalize and format data for a better understanding of what
is going on in the business. Users see can see history, look at
current numbers, view plans and analyze predictive results. For
example, a customer service representative can be confident she
has information from every time period needed to make the
right decision for that specific situation, because she can view:
• Historic call and customer satisfaction data
• The number of calls currently coming in
• Actual and plan information
• Future predictions generated by predictive analysis
Figure 2: Integrated search. Analyzing information
Analyzing information in an analytics-driven organization
includes:
Cognos Enterprise is designed to provide what users
• Understanding the underlying reasons for an event or
need for each of these activities. To help with information
action with lightning-fast analysis of all critical business data
collection, drag-and-drop features can be used to create
• Uncovering relationships in data that will give you a wider
unique perspectives or to personalize content with the user’s
context
own perspective. It is also possible to incorporate external
• Developing what-if scenarios on the fly to validate
workgroup or personal data with corporate sources. The
assumptions and make strong and informed recommendations
interactive workspace makes it easier to follow the natural
• Harnessing predictive results to better understand what
path from viewing to light exploration and on to deeper
might happen
analysis. Users can uncover insights by following their own
• Driving decisions by creating and sharing statistical evidence
trains of thought, add visualizations to gain richer insight
to validate information
and create new ways to present valuable information.
7
8. Traditional BI infused with performance management and personal analytics: Balancing user freedom with IT control
Cognos Enterprise provides users with an extensive set
of analysis capabilities so they can anticipate and shape
outcomes with fact-based recommendations. It includes tools
designed to drill into both corporate and personal business
data. Users are able to create and share statistical evidence
to compare, for example, the correlation between the demand
for a product and its price, which then can be used to make
recommendations for future promotions. Or they can create
scenarios as needed to visualize a profitability problem in
the context of the current quarter’s revenues. A customer
service manager might wish to see the profitability of
rendering a new service to customers and also view the
effect of a discount for that service.
Cognos Enterprise users are no longer constrained to
historical information and validating what has happened. Figure 3: Workspace personalized for defects.
Cognos Enterprise helps users uncover why something
happened and then helps them decide what the next best
action should be. What-if analysis capabilities make it possible You use that information to create a report that focuses
to create scenarios that help users anticipate risk and validate on the resources and the defects, adding a scatter plot
their assumptions. Cognos Enterprise can also help them (Figure 4) to demonstrate that there is a correlation between
examine predictive results to better understand what might resources and defects. Meanwhile, a coworker uses his
happen in the future. personal desktop solution to do research on competitors.
He pulls together his analysis and creates a report on the
To understand how it all works, imagine that you oversee desktop that is published and incorporated directly into
product quality for a company, and you have noticed that the Cognos Enterprise environment.
current revenue projections are not looking good and future
projections are also in the red. This is affecting your company’s
ability to sell products and your competitors are gaining
market share. In your workspace, which has been personalized
for detecting defects (Figure 3), you have the current resource
plan and a list report showing key defect metrics.
8
9. Business Analytics
Achieving alignment
It can be difficult to achieve the critical alignment of goals
and objectives needed for top performance, especially in large
enterprises that are spread out around the globe. Cognos
Enterprise can help with capabilities designed for:
• Communicating organizational strategy so all users can
understand and agree on key activities and projects
• Sharing insights by adding commentary to dashboards,
reports and individual cells (Figure 5)
• Engaging the right people at the right time to exchange
ideas and accelerate alignment
• Engaging in an in-depth collaborative discussion based
on enterprise information
Figure 4: A scatter plot demonstrating correlations between resources
and defects.
You can take the coworker’s analysis, add it to your defects
workspace and make some adjustments to show how
much your competitors are investing in R&D because it
is an important data point. You now need to make some
recommendations for reducing the defect rate, which should
improve quality and help drive sales, so you work on a scenario
that shows how increasing the R&D resources for a specific
project affects the defects. You can change information
and recalculate revised defect projections until you see the
improvement you need. You make a quick comment and
share your insight with the team. You have now used Cognos
Enterprise to create fact-based recommendations that will
help your company anticipate and shape better outcomes. Figure 5: Adding commentary to dashboards and reports.
9
10. Traditional BI infused with performance management and personal analytics: Balancing user freedom with IT control
With Cognos Enterprise, users can pool their personal
data with other users without affecting enterprise data
sources. With robust personal analytics in the mix, business
users can also validate their planning assumptions, providing
a fact-based approach to business plans. Before forecasting
(or re-forecasting), for example, a planner can share new
discoveries and prototype plans with the core team, who, in
turn, can explore performance gaps at various levels of detail.
Users can also attach greater business context to the
information itself by capturing annotations down to the
cell level, including definitions of terms, data lineage and
comments explaining how and why decisions were made.
With scorecards and strategy management capabilities,
it is possible to communicate organizational strategy so all
stakeholders can understand and align with key activities Figure 6: Initiate an activity in your workspace.
and projects.
Built-in collaboration capabilities accelerate alignment by Acting on findings
engaging the right people at the right time to exchange ideas After users have assembled data, analyzed information and
and knowledge. Dashboard activities help everyone engage achieved alignment of strategy, they need to be able to act.
in collaborative discussions based on BI content. With these The performance management capabilities of Cognos
collaboration capabilities, users can: Enterprise, such as assessment, modeling and workflow, and
performance reporting capabilities, can help your business:
• Initiate activities (Figure 6).
• Engage others with expertise. • Rapidly create and share dynamic, adaptable plans with
• Post messages, files and links. shared business rules, data and metadata.
• Discuss or review the opinions of others so everyone • Empower more users to model plans with guided modeling,
can work together toward a common goal. which can help reduce planning time.
• Assign tasks to achieve greater levels of commitment to
and accountability for plans.
• Track performance and compare it with strategic objectives
to optimize business outcomes.
10
11. Business Analytics
Users in sales, marketing or other functions can analyze Supporting where and how users work
planning results, explore alternative scenarios and share Business users need to make critical decisions regardless of
plans in dashboards or reports. In addition, they can prompt their roles. Cognos Enterprise is designed to make BI,
other team members for comments and validation. performance management and analytics available to users
where and how they work:
Adaptable planning and forecasting capabilities can enable
consistent decision-making. Using a flexible, expressive • Over the web
modeling environment that includes guided steps for building • On mobile devices
dimensions, cubes, data links and processes, business analysts • In a personalized, individual workspace
can quickly develop models and link them to other models to • In process
form a cohesive set of enterprise plans that can accommodate
current practices such as driver-based planning, profitability Web
analysis or rolling forecasting. With Cognos Enterprise, users work in a web-based interface
that is unified so they can view historical data alongside
With the same interface, analysts can then deploy the current data and predict outcomes with advanced analytics.
models to workgroups or users throughout the enterprise Users can move from viewing information to working with
for contribution, with planning types, such as hierarchical data or combining BI content with external web and application
or non-hierarchical, and interfaces that are adaptable to the data sources and systems. In addition, the web interface can
preferences of your business. Workflow capabilities help you connect the right people to share insight, gather perspectives
structure and automate analytic processes to drive greater and opinions and understand how decisions were made and
speed, accuracy and increased participation and accountability who made them. As a result, everyone in your company can
in performance planning and forecasting. easily interact, share information, plan, model and conduct
comprehensive analytics without having to use special
Cognos Enterprise is also designed to provide a planning programming or get IT involved.
environment with many report formatting options. Planners
and managers can view and share template-based or ad hoc
reports, from those with complex dimensions, such as balance
sheet or cash flow, to alternate scenarios for forecasts to
financial intelligence such as the result of a product
profitability analysis.
11
12. Traditional BI infused with performance management and personal analytics: Balancing user freedom with IT control
Mobile
Many BI users are on the road frequently, and they expect
to be able to content on a wide range of mobile devices,
including their personal smart phones and tablets. Cognos
Enterprise includes mobile solutions that are designed to
provide the same content regardless of location. Users can
also easily interact with trusted information to make decisions
when offline or get focused information at their fingertips
with location-aware reports. These reports zero in on where
a user is currently and provide information related to clients
and prospects that are in that area. In addition, users can also
be assured that the information they receive on their mobile
devices is no different from the information they receive on
their computers in the office.
Desktop
Figure 7: Publish personal work as a shared application.
Cognos Enterprise also offers users a personal analytics
solution that enables them to work independently on their
desktops. They can explore, understand, share and take action. In process
They can drag and drop imported data, create data from With Cognos Enterprise, it is not necessary to switch
scratch and enrich data without complex scripting. They can from other applications when you need BI, performance
create custom applications, dashboards and what-if scenario management or analytics. Instead, it is designed to integrate
models for analysis. They can control presentation with analytics with existing applications and business workflows.
visualization capabilities and they can publish their personal You can embed information assets into everyday applications,
work as a shared application to collaborate and take action portals and business processes so users have greater access to
(Figure 7). Because they are connected to your enterprise, all sources of relevant information. Managed workflow helps
they can share their content and use the content of others. connect all actions and decisions.
12
13. Business Analytics
Meeting the needs of both the business Often, organizations install and adopt BI capabilities that are
and IT not easily integrated with other capabilities or with other
Cognos Enterprise is designed to meet the needs of both applications and systems, such as ERP and data warehousing.
the business and your IT organization with: Cognos Enterprise is designed to integrate with other
• A system that grows and adapts with the business
capabilities, applications, data warehouses, information
• Complete and consistent access to all information
infrastructure and enterprise systems. In addition, this
• Optimized performance for rapid information delivery
integration is optimized for lightning-fast performance,
• Proactive management with a complete view of system
scalability and easier governance.
activity
Cognos Enterprise is open with broad hardware and device
Growing and adapting with the business support so that companies can deploy it on their current
The best solutions are those that can grow and adapt as your servers, tablets, smart phones, workstations and more.
business needs change. For that reason, Cognos Enterprise There are also different deployment options: you can install
is modular, integrated and open so that IT organizations are them in your data center or in a private cloud or opt for
not hampered with excessive implementation, deployment, hosted services.
management and maintenance tasks.
Gaining complete and consistent access to information
Because Cognos Enterprise is modular, IT can implement Complete and consistent access to information is important
new capabilities to address specific challenges. For to both IT and the business. Cognos Enterprise is designed
example, your IT organization can start by implementing to provide open data access to all data sources regardless of
capabilities such as dashboards, mobile and key reports and where the data is stored. As a result, it is possible to use most
add functionality such as collaboration or what-if modeling combinations of data and evolve them over time with minimal
later. As your organization grows and requirements change, effects on users.
nothing is left behind because it is easy to add capabilities
and there is no need to change products or to rip and replace Cognos Enterprise also helps you implement flexible data
what is already there. sourcing strategies so that data sources can be combined and
real-time information integrated into workspaces, providing
users with a more holistic view of overall business performance.
The business owns and manages a common sanctioned source
for all dimensions and a dictionary of business terms to provide
clarity and understanding.
13
14. Traditional BI infused with performance management and personal analytics: Balancing user freedom with IT control
As a result, business users know where information comes IT can validate content from multiple environments in a
from and are confident that it is consistent and complete. single interface, which can streamline upgrade processes
and increase IT efficiency. Multi-version coexistence support
Achieving optimized performance for rapid eases upgrade and roll out. IT can also effectively use and
information delivery enhance existing security standards and restrict access to data
Cognos Enterprise is designed to optimize the performance according to business requirements, while at the same time
and on-demand response time of multidimensional data. reducing barriers to user adoption with the option to simplify
Cognos Enterprise uses a 64-bit in-memory analytics engine the login process.
designed to analyze complex or large data sets for on-demand
planning, analysis, profitability analysis and management
Conclusion
reporting. In addition, aggregate operations can speed up
When you put all the capabilities and options together, it is
computing time, and optimized caching and flexible refresh
easy to see why Cognos Enterprise can be described as both
management enable the reuse of views that users repeatedly
simple and powerful.
access. Cognos Enterprise is also designed to scale to support
enterprise-level planning and analytics.
It is simple because you can start just about anywhere with
any BI or performance management capability and add
Confidently deploying and proactively managing
capabilities as you go. Users are not overwhelmed with a
Cognos Enterprise is designed for confident deployment
massive system of applications that they must navigate to get
and proactive management. A complete view of system
to the capabilities they need.
activity enables administrators to take action before a
problem affects business, which can help meet and exceed
It is powerful because it blurs the distinctions between BI,
SLAs. It is fault-tolerant with self-aware peer-to-peer services
business analytics and performance management and exploits
and automatic load balancing to help minimize risk for
the capabilities of all three. As a result, it can support all
mission-critical deployments. It is also designed to effectively
your business decisions, arm your users with what they need,
manage through change to lessen the effect on both IT and
make BI and analytics capabilities available where and how
the business by helping IT assess the effect of change and
users need them and provide for the needs of both the business
address business requirements quickly (for example, refresh
and IT.
pack, data source updates).
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15. Business Analytics
IBM has redefined and reinvented BI by infusing it with
performance management and business analytics to help
your organization become analytics driven. With Cognos
Enterprise, your organization can use BI, performance
management and personal analytics to guide actions in all
corners of the business. It can help you find the answers to
how you are doing and why, and what to do next to stay ahead
of the competition. And the result? Better, smarter decisions
for the best business outcomes now and in the future.
About Business Analytics
IBM Business Analytics software delivers actionable insights
decision-makers need to achieve better business performance.
IBM offers a comprehensive, unified portfolio of business
intelligence, predictive and advanced analytics, financial
performance and strategy management, governance, risk
and compliance and analytic applications.
With IBM software, companies can spot trends, patterns
and anomalies, compare “what if” scenarios, predict potential
threats and opportunities, identify and manage key business
risks and plan, budget and forecast resources. With these
deep analytic capabilities our customers around the world can
better understand, anticipate and shape business outcomes.
For more information
For further information, visit ibm.com/business-analytics.
Request a call
To request a call or to ask a question, go to ibm.com/
business-analytics/contactus. An IBM representative
will respond to your inquiry within two business days.
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