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.
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’.
This document discusses how organizations can build a smarter workforce with the future of productivity. It summarizes that:
1) Emerging technologies like cloud computing, social networking, and mobile devices are changing how people work and creating a more diverse workforce.
2) Microsoft offers a suite of online services and tools that can improve collaboration, communication, and access to information from any device. This includes enterprise search, shared document editing, and communication tools.
3) These services aim to improve business processes like demand forecasting and supply chain management. They allow for real-time tracking of key metrics, shared document editing, and communication from mobile devices to drive better decision making and productivity.
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.
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.
The document discusses how cloud computing enables business agility. It notes that cloud solutions allow companies to focus on core competencies, provide value to customers through partnerships, and bring innovative products to market faster. The cloud provides benefits like speed to market, ability to scale rapidly, and lower barriers to entry through consumption-based pricing models. It also discusses how cloud computing impacts areas like IT roles, application architecture, integration, data management, and financial models for technology.
IDC Manufacturing Insights provides a broad portfolio of research-based advisory services and custom research focused on market and technology developments impacting the manufacturing industry, including supply chain and demand management, product lifecycle management, operations technology, risk management, RFID/sensor networks, sustainability, and warranty and quality management.
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.
Taleo selected Actuate and BIRT to develop an analytics module for its talent management product to meet growing customer demands. The open architecture of BIRT allowed for a rapid integration and launch of the new module within 120 days. Customers can now access enhanced reports, dashboards, and analytics through an easy-to-use interface. This has improved customer satisfaction and expanded Taleo's market opportunities.
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’.
This document discusses how organizations can build a smarter workforce with the future of productivity. It summarizes that:
1) Emerging technologies like cloud computing, social networking, and mobile devices are changing how people work and creating a more diverse workforce.
2) Microsoft offers a suite of online services and tools that can improve collaboration, communication, and access to information from any device. This includes enterprise search, shared document editing, and communication tools.
3) These services aim to improve business processes like demand forecasting and supply chain management. They allow for real-time tracking of key metrics, shared document editing, and communication from mobile devices to drive better decision making and productivity.
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.
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.
The document discusses how cloud computing enables business agility. It notes that cloud solutions allow companies to focus on core competencies, provide value to customers through partnerships, and bring innovative products to market faster. The cloud provides benefits like speed to market, ability to scale rapidly, and lower barriers to entry through consumption-based pricing models. It also discusses how cloud computing impacts areas like IT roles, application architecture, integration, data management, and financial models for technology.
IDC Manufacturing Insights provides a broad portfolio of research-based advisory services and custom research focused on market and technology developments impacting the manufacturing industry, including supply chain and demand management, product lifecycle management, operations technology, risk management, RFID/sensor networks, sustainability, and warranty and quality management.
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.
Taleo selected Actuate and BIRT to develop an analytics module for its talent management product to meet growing customer demands. The open architecture of BIRT allowed for a rapid integration and launch of the new module within 120 days. Customers can now access enhanced reports, dashboards, and analytics through an easy-to-use interface. This has improved customer satisfaction and expanded Taleo's market opportunities.
IDC Retail Insights, a worldwide advisory services and market research firm, assists retail industry executives, and vendors serving retailers, to achieve competitive differentiation and market success through business-driven technology investments. Our fact-based research and merchant-centric strategies enable better offerings from vendors and more effective technology investment by retailers.
The National Registration Department of
Malaysia (Jabatan Pendaftaran Negara
Malaysia, or JPN) is the government agency
responsible for registering important demographic
events. To expedite statistical queries
and requests for data extraction from governmental
entities, JPN custom-built an application
referred to as the Statistics and Data Extraction
Request Management System (SAL). Although
the application was designed to automatically
manage, calculate and distribute responses to
data requests, the underlying hardware platform
was woefully inadequate for the task and
frequently bogged down.
How the Modern Data Center Extends Across Remote Locations Due to Automation ...Dana Gardner
A discussion on how new demands from the industrial edge, 5G networks, and hybrid deployment models will lead to more diverse types of data centers in more places.
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.
Ibm integrated new intelligence solutions 2011Friedel Jonker
1. Target Group Campaign Management - Identify the most responsive target groups for marketing campaigns.
2. Personalized Offerings - Develop personalized product or service offerings for individual customers.
3. Analytical Decision Improvement - Use predictive analytics to improve operational and strategic decisions.
4. Risk Scoring and Fraud Prevention - Predict risks and identify potential fraudulent activities.
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.
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
The document discusses opportunities for IT organizations to optimize their datacenter services over the next five years. As businesses look to grow and innovate following the economic downturn, IT will need to balance efficiency gains with flexibility to enable new initiatives. Datacenters of the future will require automation and standardized infrastructure that can adapt to changing workload demands. Many IT organizations currently lack the in-house expertise to implement private clouds and achieve this level of optimization, and may require external assistance to successfully transform their datacenters.
The document discusses the analytical revolution and how market research firms can leverage data and analytics to become insight partners. It notes that clients are demanding faster insights while research is becoming commoditized. To address this, firms must harness diverse data sources, derive insights from text analytics, and use predictive analytics to deliver foresight. This allows predicting outcomes, finding patterns, and enriching data with attitudes. Firms can then provide a complete workbench and maximize efficiencies to become valued partners that understand customers and deliver strategic, actionable insights.
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.
The document discusses how clouds, mobility, and big data together create a revolution in business capabilities when used together. It provides a use case example of how an airport authority could use these technologies together in an "outside-in" model, rather than traditional "inside-out" IT systems, to allow real-time collaboration between different groups' employees to solve operational issues as they arise. This would allow improved efficiency and customer satisfaction over just using individual groups' internal IT systems.
Outsmart Your Business - Stappenplan InformatiestrategieJohn Septer
1) The document discusses challenges organizations face with inconsistent and disconnected information from different channels.
2) It introduces an information-centric approach to positioning information centrally in doing business, compared to the traditional application-centric approach where information is an afterthought.
3) The plan of approach outlines preparing the organization for transformation, analyzing current information problems and requirements, defining a vision for improved information management, and developing business cases to support implementation initiatives.
Confluent - Monthly magazine by Symbiosis Centre for IT - September 2010Dhiren Gala
What the next generation will expect of BI applications? How generational shift will drive changes in BI tools and technology? How the roles of BI professionals will be transformed? How the uses of BI systems will grow and change?
Data Visualization with Dashboard & KPI
Taking Strategy to the Clouds - Roberto Severo - TOG San FranciscoAEA Brazil Chapter
The document discusses how an organization can establish an enterprise architecture group or center of excellence to help align IT strategies with business objectives and leverage cloud computing technologies. It provides examples of how such a group can define principles, roadmaps, and quick win projects to help guide the organization's cloud adoption and digital transformation. Establishing clear governance, communication, and executive sponsorship are identified as key factors for the success of the enterprise architecture group.
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
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.
This document discusses defining a blueprint for a smarter data center through flexibility, cost-effectiveness, and active monitoring and management. It outlines four ways to achieve this: 1) extending the life of existing infrastructure, 2) rationalizing infrastructure across the company through consolidation, 3) implementing flexible modular design, and 4) providing integrated IT and data center operations management. Analytics-based services can help assess infrastructure needs, model outcomes, automate processes, and manage operations to unlock greater value from data center investments. Case studies demonstrate benefits like reduced costs, deferred capital expenditures, and improved efficiency.
How to Better Manage Your IT InfrastructureEdarat Group
1) Businesses are implementing infrastructure management strategies to keep their IT functioning effectively as business acceleration requires better management of information and resources.
2) For IT organizations, better infrastructure management results in high performance, seamless configuration, and strong security.
3) Non-IT companies can also benefit from effective infrastructure management through meeting business needs, ensuring operational efficiency, optimizing resource allocation, and adopting new technologies.
The document discusses how emerging technologies are creating new sources of data and how analyzing this data can provide businesses a competitive advantage. It identifies key trends like cloud computing, social media, mobile devices, and big data that are fueling data growth. To leverage this "nexus of forces", companies need strategies to innovate using new types of information and analytics. This includes assessing business needs, understanding new possibilities, and adopting technologies like analytics, databases, and Hadoop to access diverse data sources and gain insights.
This document discusses business intelligence in the cloud. It begins by introducing constraints to traditional BI adoption like costly and inflexible integrated infrastructures. Cloud computing provides an environment for BI that is elastic, low-cost, and flexible. The document then discusses how cloud BI can accelerate adoption, enable easier evaluation and short-term analysis, and increase flexibility. Overall, cloud BI makes BI implementation cheaper and faster while increasing an organization's analytic capabilities.
IDC Retail Insights, a worldwide advisory services and market research firm, assists retail industry executives, and vendors serving retailers, to achieve competitive differentiation and market success through business-driven technology investments. Our fact-based research and merchant-centric strategies enable better offerings from vendors and more effective technology investment by retailers.
The National Registration Department of
Malaysia (Jabatan Pendaftaran Negara
Malaysia, or JPN) is the government agency
responsible for registering important demographic
events. To expedite statistical queries
and requests for data extraction from governmental
entities, JPN custom-built an application
referred to as the Statistics and Data Extraction
Request Management System (SAL). Although
the application was designed to automatically
manage, calculate and distribute responses to
data requests, the underlying hardware platform
was woefully inadequate for the task and
frequently bogged down.
How the Modern Data Center Extends Across Remote Locations Due to Automation ...Dana Gardner
A discussion on how new demands from the industrial edge, 5G networks, and hybrid deployment models will lead to more diverse types of data centers in more places.
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.
Ibm integrated new intelligence solutions 2011Friedel Jonker
1. Target Group Campaign Management - Identify the most responsive target groups for marketing campaigns.
2. Personalized Offerings - Develop personalized product or service offerings for individual customers.
3. Analytical Decision Improvement - Use predictive analytics to improve operational and strategic decisions.
4. Risk Scoring and Fraud Prevention - Predict risks and identify potential fraudulent activities.
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.
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
The document discusses opportunities for IT organizations to optimize their datacenter services over the next five years. As businesses look to grow and innovate following the economic downturn, IT will need to balance efficiency gains with flexibility to enable new initiatives. Datacenters of the future will require automation and standardized infrastructure that can adapt to changing workload demands. Many IT organizations currently lack the in-house expertise to implement private clouds and achieve this level of optimization, and may require external assistance to successfully transform their datacenters.
The document discusses the analytical revolution and how market research firms can leverage data and analytics to become insight partners. It notes that clients are demanding faster insights while research is becoming commoditized. To address this, firms must harness diverse data sources, derive insights from text analytics, and use predictive analytics to deliver foresight. This allows predicting outcomes, finding patterns, and enriching data with attitudes. Firms can then provide a complete workbench and maximize efficiencies to become valued partners that understand customers and deliver strategic, actionable insights.
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.
The document discusses how clouds, mobility, and big data together create a revolution in business capabilities when used together. It provides a use case example of how an airport authority could use these technologies together in an "outside-in" model, rather than traditional "inside-out" IT systems, to allow real-time collaboration between different groups' employees to solve operational issues as they arise. This would allow improved efficiency and customer satisfaction over just using individual groups' internal IT systems.
Outsmart Your Business - Stappenplan InformatiestrategieJohn Septer
1) The document discusses challenges organizations face with inconsistent and disconnected information from different channels.
2) It introduces an information-centric approach to positioning information centrally in doing business, compared to the traditional application-centric approach where information is an afterthought.
3) The plan of approach outlines preparing the organization for transformation, analyzing current information problems and requirements, defining a vision for improved information management, and developing business cases to support implementation initiatives.
Confluent - Monthly magazine by Symbiosis Centre for IT - September 2010Dhiren Gala
What the next generation will expect of BI applications? How generational shift will drive changes in BI tools and technology? How the roles of BI professionals will be transformed? How the uses of BI systems will grow and change?
Data Visualization with Dashboard & KPI
Taking Strategy to the Clouds - Roberto Severo - TOG San FranciscoAEA Brazil Chapter
The document discusses how an organization can establish an enterprise architecture group or center of excellence to help align IT strategies with business objectives and leverage cloud computing technologies. It provides examples of how such a group can define principles, roadmaps, and quick win projects to help guide the organization's cloud adoption and digital transformation. Establishing clear governance, communication, and executive sponsorship are identified as key factors for the success of the enterprise architecture group.
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
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.
This document discusses defining a blueprint for a smarter data center through flexibility, cost-effectiveness, and active monitoring and management. It outlines four ways to achieve this: 1) extending the life of existing infrastructure, 2) rationalizing infrastructure across the company through consolidation, 3) implementing flexible modular design, and 4) providing integrated IT and data center operations management. Analytics-based services can help assess infrastructure needs, model outcomes, automate processes, and manage operations to unlock greater value from data center investments. Case studies demonstrate benefits like reduced costs, deferred capital expenditures, and improved efficiency.
How to Better Manage Your IT InfrastructureEdarat Group
1) Businesses are implementing infrastructure management strategies to keep their IT functioning effectively as business acceleration requires better management of information and resources.
2) For IT organizations, better infrastructure management results in high performance, seamless configuration, and strong security.
3) Non-IT companies can also benefit from effective infrastructure management through meeting business needs, ensuring operational efficiency, optimizing resource allocation, and adopting new technologies.
The document discusses how emerging technologies are creating new sources of data and how analyzing this data can provide businesses a competitive advantage. It identifies key trends like cloud computing, social media, mobile devices, and big data that are fueling data growth. To leverage this "nexus of forces", companies need strategies to innovate using new types of information and analytics. This includes assessing business needs, understanding new possibilities, and adopting technologies like analytics, databases, and Hadoop to access diverse data sources and gain insights.
This document discusses business intelligence in the cloud. It begins by introducing constraints to traditional BI adoption like costly and inflexible integrated infrastructures. Cloud computing provides an environment for BI that is elastic, low-cost, and flexible. The document then discusses how cloud BI can accelerate adoption, enable easier evaluation and short-term analysis, and increase flexibility. Overall, cloud BI makes BI implementation cheaper and faster while increasing an organization's analytic capabilities.
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.
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 summarizes Accenture's Technology Vision for 2013, which is titled "Every Business is a Digital Business".
The first trend discussed is "Relationships at Scale", which argues that businesses need to move beyond online transactions and marketing to develop digital relationships with consumers. While new technologies have increased digital connections, most companies only use this for more detailed consumer data and transactions. To truly transform, companies need to integrate digital relationships into all aspects of their operations and strategies.
Discute as facilidades que uma ferramenta como portal corporativo pode oferecer a uma organização, apresenta os critérios de avaliação, infra-estrutura de tecnologia de informação, e o posicionamento, visão e impacto do portal na corporação.
www.terraforum.com.br
Relationships at Scale discusses how businesses need to move beyond transactions and e-commerce to focus on digital relationships with consumers. Technologies like mobile, social media, and analytics now allow companies to learn more about consumers and customize every interaction. To truly capitalize on this opportunity, companies must shift their mindset from transactions to building relationships with consumers at scale through mass personalization across all channels. This will involve using insights from digital interactions to improve engagement and loyalty.
This document discusses the trend of Relationships at Scale, where businesses are moving beyond simple transactions to develop digital relationships with consumers. While new technologies have increased connections, most companies still focus only on transactions and consumer attributes rather than developing true relationships. To succeed, companies must leverage big data analytics to gain insights into consumer needs and behaviors over time in order to deliver personalized, context-aware experiences across all digital touchpoints. This will allow businesses to develop one-to-one relationships at a massive scale and transform themselves into digital organizations.
Accenture technology vision_2013_feb_18[1]Lars Kamp
Relationships at Scale discusses how businesses need to move beyond transactions and e-commerce to focus on digital relationships with consumers. Technologies like mobile, social media, and analytics now allow companies to learn more about consumers and customize every interaction. This enables mass personalization and managing relationships with consumers at a large scale. To truly transform, companies must shift their mindset from transactions to ongoing relationships and interactions through integrated digital channels.
The document discusses the importance of taking a strategic approach to information infrastructure in order to align it with business objectives. It notes that a strategic infrastructure can deliver scalability, flexibility and secure access to information. It provides an overview of key considerations like accommodating workforce trends, leveraging cloud technologies, and the role of the CIO. The document then outlines some business outcomes of a strategic infrastructure approach, such as accommodating a mobile workforce, building flexibility, focusing IT resources, and handling security issues. It also discusses best practices derived from Ricoh's engagements with customers.
The document discusses AT&T's vision for how mobility will transform businesses over the next 3-5 years. It envisions that mobility will allow companies to streamline operations, increase worker productivity, and enable real-time response. It then elaborates on how mobility will enhance workflows, improve access to knowledge, speed up transactions, and provide better reporting and management. Specifically, it outlines how mobility can enhance businesses in four ways: by improving workflows, knowledge management, transactions processing, and reporting.
This whitepaper discusses how cloud adoption provides benefits beyond just financial return on investment (ROI). Moving to the cloud allows IT teams to focus less on managing infrastructure and more on innovation and strategic initiatives that can improve business operations. The cloud enables quicker application delivery and increased employee productivity, leading to greater business agility and competitive advantage over time. While cost savings are important, cloud computing allows for continuous business transformation through new ideas implemented by a more creative IT organization.
White Paper: The Benefits of An Outsourced IT InfrastructureAsaca
This white paper will explore the benets of a hosted IT infrastructure
in the context of several key business topics including disaster recovery,
cost management and scalability .
Business Case on Leveraging convergence within IT, to simplify technology management, save costs and automate the delivery of services to business users
Cross Docking IT is a three-stage framework with five phases that helps align IT applications with business functions. It covers the entire spectrum of an organization's IT systems. The framework includes: [1] Discover - mapping existing business processes, applications, and infrastructure; [2] Rationalize - suggesting options to reduce costs and create a unified environment; [3] Build - transforming processes and architecture to align with business goals. This framework enhances efficiency, visibility, stability, and reduces costs.
Ergo - IT Infrastructure Overview Brochureffurlong
Ergo IT Infrastructure is a division of one of Ireland's leading IT services companies that provides consulting, software solutions, and IT infrastructure services with over a decade of experience. They help businesses optimize their IT systems through fully outsourced managed services or partnering with in-house teams. This enables clients to focus on their core business while leveraging technology for increased productivity and competitiveness. Their portfolio of proven success stories and industry references help mitigate risks when moving to a new IT supplier.
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.
Unica Detect provides a solution for event-based marketing that allows financial institutions to detect patterns in customer transaction data and other behaviors. This enables opportunities like reducing churn, cross-selling, fraud detection, and personalizing the customer experience. While banks have more customer data than ever, integrating diverse systems and making sense of large datasets presents challenges. Unica Detect uses an open and adaptable system to overcome these challenges and power behavior-based marketing actions.
2. White Paper Sense, Predict, Act: The Predictive Enterprise
The Predictive Enterprise
Predictive Enterprise is the new model for enterprise computing—using technology to
make your business proactive instead of reactive by reducing the gap between knowl-
edge and execution. As a Predictive Enterprise, your business will become more agile,
letting you maximize your return on investment (ROI) and build a competitive edge to
expand growth. The key to becoming a Predictive Enterprise is learning how to devel-
op business processes and infrastructure that are connected and adaptive. This white
paper is a high-level primer that introduces you to the Predictive Enterprise and the
business and IT issues companies face on the way to becoming one.
Converging Technologies wants and needs, and to respond to unanticipated
Over the last five years, the convergence of infor- requests.2 Businesses in multiple industries are
mation technologies has driven—and extended— integrating IT capabilities and online business
the capabilities needed for new business services. data to help improve business operations and
The importance of technology convergence to enable business growth. A recent Accenture arti-
business services was explained in a 2006 Intel cle defined a vision for predictive business:
article1:
A company’s ability to predict
• Internet-based communications will signifi- business needs and
cantly blur the boundaries between enterprises incorporate advanced
to create global ecosystems. technologies to meet them
• Emerging technologies (e.g., infrastructure will be increasingly important
virtualization, pervasive networks, service-ori- to enabling…future business
ented architecture) are becoming highly con- success. Key technologies
verged. Open standards will enable IT and allow business to capture,
business services extend across corporate manage, access and analyze
boundaries. data at a level and speed
never before possible, thus
• Services between enterprises will be enabling agile and proactive
orchestrated to deliver capability to global response. 3
customers and consumers.
Soon, having a complete and easily accessible pic-
This convergence provides the technological ture of both the present past—still a goal for
foundation that enables businesses to design and many organizations—will be a basic business
implement the capabilities to search out, capture, requirement. But real differentiation will be provid-
and interpret clues about emerging customer ed by predictive insight. Top business performers
will look over the horizon, anticipate future even-
tualities, and take the right actions today to opti-
mize outcomes and prevent problems.
1
3. Sense, Predict, Act: The Predictive Enterprise White Paper
This Accenture research supports the case for using These management issues relate to the challenges of
existing and emerging IT capabilities to enable more business analytics (knowledge) as well as the opera-
accurate business decisions and actions. tional capabilities needed to apply this analysis in a
customer interaction (execution). For most companies,
This white paper explores the concept of predictive
the problem is not converting data into knowledge; it is
business insight, examining the role IT and Intel® archi-
converting this knowledge into actions and using the
tecture-based technologies play to help enable predic-
IT infrastructure to make these actions operational.
tive business capabilities. Intel calls this concept the
This is where companies often struggle.
Predictive Enterprise.
Strategic IT infrastructure architectures such as
Based on prior experience, both internally and with
Forrester Research's Digital Business Architecture and
customers, Intel has developed a conceptual model to
Gartner Group's Real Time Infrastructure define the
illustrate the core functional capabilities needed to
type of adaptive and responsive capabilities Intel sees
enable and support the Predictive Enterprise:
as the architectural models needed to enable predictive
• Capture appropriate, filtered data from a variety business. The principles and capabilities defined in
of sources including readers and sensors. these strategic IT models are being developed and real-
ized in enterprise architecture roadmaps from vendors
• Manage the explosion of distributed data and
including IBM (On-Demand*), HP (Adaptive Enterprise*),
events and be scalable, reliable, and secure
EDS (Agile Enterprise*), and others.
• Access the data any time, anywhere enabling
Intel sees its role as enabling the Predictive Enterprise,
appropriate people, applications, and business
acting as a catalyst to help the IT ecosystem acceler-
processes to use it.
ate the business and IT innovations and capabilities
• Analyze the data and events in real time for enterprises will need to realize the Predictive
business intelligence and proactive process Enterprise and enjoy its business benefits. Intel plays a
improvement. fundamental role in this process, supplying the archi-
tecture-based technologies needed to implement and
• Respond to events and information automatical-
support computing capabilities for the Predictive
ly and allow for people to manage by exception.
Enterprise. Intel also works with its enterprise cus-
Businesses will need to address strategic management tomers and their strategic IT partners to apply and
issues as they move to develop and utilize their busi- unlock the value of Intel architecture-based technolo-
ness and IT capabilities as a Predictive Enterprise. gies to enable the IT foundation needed for the
Predictive Enterprise.
Figure 1: IT’s Evolving Role in Enabling Business Capabilities
From reactive to adaptive to predictive. After years of painful cost optimization, the combination of business trends
and technology innovation is leading toward a new wave in business optimization.
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4. White Paper Sense, Predict, Act: The Predictive Enterprise
Changing CIO Priorities For CIOs, it’s all about maximizing return on
investment. And to make it happen, a CIO's world
To see how much priorities have changed over the
usually revolves around cost containment.
last few years, consider a 2002 Harvard Business
Review article called “IT Doesn’t Matter.” The key Investing for competitive advantage can also be a
message for the reader was: priority, but the last time this happened was
before the dot-com bust, when companies were
The ability of any one
investing heavily in e-Business. This included Intel,
company to use IT in a
which became the first company to earn a billion
distinctive way to gain
dollars worth of e-Business revenue.
competitive advantage will
diminish until...it will make Now experts seem to agree that after years of
more sense to manage IT as painful cost optimization, the combination of
a commodity; something that business trends and technology innovation is
is absolutely necessary but finally leading toward a new wave in business
(that) isn’t going to set you optimization.
apart from competitors.4
The Changing Role of IT
The article’s premise was that IT is a commodity- In the past, information technology tended to
type resource for supporting business operations— react to business requirements. IT focused on
not a means to enable business innovation and quickly capturing business information about
growth. The perspective of this article reflected the what had happened in the past, working to reduce
thinking of many senior business managers in the the lag to facilitate better decisions.
post-dot-com era.
Today, business is evolving to be more adaptive—
A Gartner Group study of the Top 10 CIO to capture information in real time and be more
Management Priorities for 2002 supported this responsive, enabling the business to act on the
perspective. It lists “Reducing total IT costs” as information IT provides.
the top priority. The other nine items on the list
Tomorrow’s businesses will be predictive, capturing
reflected a similar focus of improving on existing
information in real time to not only facilitate the
IT resources5.
best possible decisions, but to actively make busi-
Today, an enterprise CIO's priorities have evolved ness systems easily adaptable to changing business
in a different direction. The Gartner Group study strategies. This capability will help businesses bring
of the Top 10 CIO Management Priorities for new products to market faster than their competi-
2006 lists “Delivering projects that enable tion, more quickly identify higher-yielding market
business growth” and “Linking business and IT segments, and respond faster to customer
strategies and plans” as the first and second demands. IT will give business the foundation capa-
priorities. In today's enterprise, business looks to bilities to enable a competitive advantage.
IT strategies and capabilities to help enable
Understanding likely future outcomes gives an
business innovation and growth. The role of IT in
organization the ability to move from being reac-
the enterprise is evolving from cost center to
tive to proactive in its business behavior—and the
enabler of new business capabilities (Figure 1)6.
opportunity to base business decision-making on
what-if scenarios.
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5. Sense, Predict, Act: The Predictive Enterprise White Paper
In the Predictive Enterprise, IT matters. The power of Figure 2: Predictive Capabilities and Decision-Making
flexible information technology is a fundamental ingre-
dient that enables new business capabilities for inno-
vation and growth.
The Predictive Enterprise
Conceptual Model
The idea of using predictive capabilities to improve
business decision-making is not new. Weather fore-
casting is a good example of how predictive capabilities
are already widely used. Improved collection and analy-
sis of data has enabled weather forecasters to develop
a better understanding of what is likely to happen. For business management, the Predictive Enterprise concept is about the
potential impact improved actions and decision-making can have on overall
Being able to accurately predict future weather pat-
business operations.
terns is valuable to both government agencies and citi-
zens, enabling these stakeholders to take appropriate,
proactive actions.
The predictive capabilities that have proven so valuable Figure 3: The Knowledge and Execution Gap
for weather forecasting can also apply to business man-
agement (Figure 2).The Predictive Enterprise concept is
about using advanced and emerging information tech-
nologies and online data to anticipate future business
issues and enable better decisions.
For business management, the Predictive Enterprise
concept is about the potential impact improved actions
and decision-making can have on overall business oper-
ations. Using predictive capabilities can enable busi-
ness management to evolve from:
• Explaining (reporting what happened) to
• Reacting (focusing on key business drivers) to
Most businesses start with all available data and then analyze it
• Predicting (anticipating the future so that you (knowledge). However, this top-down approach does not enable the business
can take appropriate actions) to effectively transform the results of this analysis into a customer
interaction (execution).
This evolution of business analytic capabilities is the foun-
dation of the Predictive Enterprise concept.
The first steps to building a Predictive Enterprise are to:
• Understand core business operational points
• Gather the appropriate information in the right
timeframe
• Use information to support decision-making
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6. White Paper Sense, Predict, Act: The Predictive Enterprise
This ability to sense information is not something a Figure 4: Improving Execution Capability
business can buy and plug in. It requires a clear
understanding of what is important to the business,
the interfaces to the business, and the environment
that governs the way business is conducted.
Making Decisions in a Sea of Data
IT is making it possible to gather, store, and access
massive quantities of data from a number of
sources—going well beyond practices in traditional
enterprise systems. Computing power and process-
ing speed have advanced to the point where data
can be manipulated and transmitted in real time.
Organizations that understand the value of using Improving execution capability is the business opportunity from the Predictive Enterprise.
appropriate information taken at the right place and
at the right time can stream new data from either
existing systems or new sources. This offers the
opportunity to connect the physical world to the
logical world—which strains current capabilities
including data warehousing, remote analytics, dash-
Figure 5: Functional Capabilities
boards, and IT-generated reports. Chart
Over the last decade, the volume of online business
data available to the enterprise has exploded. For
example, five exabytes of new data were created in
2005.7 (One exabyte represents one million ter-
abytes or one billion gigabytes.) Some IT Industry
analysts have likened the situation to being lost in a
sea of data.
The ability to have sophisticated computational and
storage capabilities and applications to manage this
sea of data is far outreaching the intrinsic worth of
the data. At the same time, increasingly sophisticat-
ed computational and storage capabilities often cre-
ate a negative impact. The ability to collect any and
all data can far outpace a company’s ability to use
that data for strategic advantage, or to make it both
Functional capabilities needed for the Predictive Enterprise include capture, manage, access,
timely and easy to use and available for real deci- analyze, and respond.
sion-makers.
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7. Sense, Predict, Act: The Predictive Enterprise White Paper
The Knowledge and Execution Gap • Access the data any time, anywhere enabling
A Gartner Group paper on the challenges of using the appropriate people, applications, and business
growing volume of online business data provides an processes to use it.
important perspective on the data analysis challenge:
• Analyze the data and events in real time for business
“Only 20% of enterprise will use more than 50% of the
intelligence and proactive process improvement.
total data they collect to gain competitive advantage.” 8
• Respond to events and information automatical-
The fundamental challenge for these companies is how
ly and allow for people to manage by exception.
to best utilize the business data (e.g., operations, cus-
tomers, and marketplace) to understand current condi-
Logical Architecture
tions and make better business decisions going forward.
Using the model in Figure 6, Intel defined a logical
According to this Gartner model (Figure 3), most busi- architecture model for the Predictive Enterprise.
nesses start with all available data and then analyze it Developed from an enterprise architecture perspective,
(knowledge). However, this top-down approach does not the model includes both business- and technology-
enable the business to effectively transform the results driven elements.
of this analysis into a customer interaction (execution).
The structure of this logical architecture model (Figure
This Gartner model shows the functional challenges 7) is composed of:
businesses face when they try to fully realize the
• System interface: The human or machine interface
capabilities and benefits of the Predictive Enterprise.
that enables interaction with a computer system to
For most companies, converting data into knowledge is
collect input, manipulate data, and/or display output
not the problem. Converting this knowledge into
actions and making these actions operational using the • Business architecture: The functions and
IT infrastructure is where many companies struggle. processes required for company's business to be
successful
Extending the predictive capabilities model (Figure 2) to
include the challenge of execution yields a more com- • Data architecture: What must be known to
plete model to illustrate the Predictive Enterprise con- effectively execute and support the business
cept (Figure 4).Timely response (execution) based on processes
better understanding (analytics) of future situations is
• Application architecture: The applications
the key business opportunity the Predictive Enterprise
required to support business functionality and
offers.
delivery methods for information
Enabling the Predictive Enterprise • Technical architecture: Defines and manages
the infrastructure, enabling access to information
Functional Model
by providing the environment and platforms to run
Figure 5 shows the essential functional capabilities an
applications
organization needs to enable and support the
Predictive Enterprise. • Service-oriented architecture: A design
approach to standardize functions or services so
• Capture appropriate, filtered data from a variety
that numerous dissimilar applications and tech-
of sources including readers and sensors.
nologies can share them—both inside and outside
• Manage the explosion of distributed data and the company
events and be scalable, reliable, and secure.
• Service-oriented infrastructure: The hardware
and storage infrastructure that can appear and be
used as virtualized resources
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8. White Paper Sense, Predict, Act: The Predictive Enterprise Enterprise
The computing elements defined in this logical Figure 6: Logical Architecture for the Predictive Enterprise
Chart
architecture are a combination of existing and
evolving computer hardware and software. They
do not represent an exhaustive list of computing
elements; they do represent the computing ele-
ments that enable the functional capabilities the
Predictive Enterprise needs. Many of these com-
puting elements are either in use or being intro-
duced into business organizations.
Intel and the Predictive Enterprise
A fundamental aspect of the journey to the
Predictive Enterprise lies in the infrastructure on
which the computing stack will be assembled.
There are many choices to be made, and today no
single product can deliver the entire vision. Intel
understands this challenge and has focused prod- Intel defined a logical architecture model for the Predictive Enterprise using both business-
and technology-driven elements.
uct and technology delivery on supporting the
foundational elements of the Predictive Enterprise.
With each generation of technology, Intel introduces
new products, technology, and standards to enable
Figure 7: Logical Architecture with Intel Technology Pillars
the organization to continuously improve, as well as Chart
to create a more autonomous, green, and self-man-
aging infrastructure.
Intel Architecture Technology
Pillars
Intel contributes to the Predictive Enterprise in
three key ways:
1. Leadership in products, technology, and
standards.
2. Influence on the information ecosystem,
both indirectly through standards and directly
through engagement. Intel works diligently
to ensure that software and solutions are
available to help organizations make the
To show how Intel technologies enable the Predictive Enterprise, Figure 7 extends the logical
most of product and technology innovations. architecture model to include the six Intel architecture technology pillars.
3. Vision. Intel has used its understanding of
strategies from end users, system integra-
tors, and fellow travelers to define a future
vision that allows business and IT success.
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9. Sense, Predict, Act: The Predictive Enterprise White Paper
To make Intel's technical contributions to the Predictive • Heal: The ability to remotely connect to and trou-
Enterprise easy to understand, we have divided them bleshoot systems even if the host OS is unable to
into six key pillars: launch.
1. Trust management • Protect: This includes a wake and update function
for critical patches and network filters for isolating
2. Energy-efficient performance
systems to prevent virus propagation and to limit
3. Dynamic resource management connectivity before remediation of systems that
don’t meet minimum security requirements. It also
4. Data-intensive computing
includes new sets of filters that can proactively
5. Unified communications detect anomalous network behavior and take action.
6. Mobility and rich user experience
Energy-Efficient Performance
These pillars are built on Intel’s foundation of leading Intel is leading the way to reduce power in silicon and
performance and efficiency. Each pillar provides a con- across the platform, the rack, and the data center, and
text for the technologies and features enabling the adding capabilities to help proactively manage power
enterprise journey to the Predictive Enterprise. and thermal consumption. Intel AMT client manage-
ment technology and systems based on Intel vPro
To show how Intel technologies enable the Predictive
processor technology allow client devices to be pow-
Enterprise, Figure 7 extends the logical architecture model
ered down for power savings without sacrificing off-
to include the six Intel architecture technology pillars.
hours IT patch distribution.
Trust Management In the data center, Intel has changed the nature of per-
Security attacks are becoming more frequent, software formance delivery. Through the last three generations,
viruses are becoming more sophisticated, the methods Intel server platforms have delivered a four-fold
used for attacks are continually evolving, and enterpris- increase in performance, while staying inside a flat
es must protect confidential information about cus- power envelope. This achievement makes for excellent
tomers, products, and employees. A Predictive efficiency and allows data center designers to plan for
Enterprise manages its resources proactively to a set rack power/cooling that will work today and with
address existing and emerging threats. future generations.
Today, the security focus is on building a consistent Besides constantly improving silicon efficiency, Intel
and reliable boundary of to ensure that clients and continues to add new technologies like dynamic-based
servers are up to date, the appropriate agents are run- switching and node power management for monitoring
ning and protected, and network traffic is monitored and managing energy use across the platform, the rack,
and filtered. and eventually the entire data center. This combination
of efficiency and management enables true data cen-
Intel continues to enhance security solutions, including
ter optimization.
new hardware support to address emerging threats
such as rootkits. Equally important is the work Intel
Dynamic Resource Management
does in this area with the leading independent soft-
Industry visions for the data center are consistent in
ware vendors (ISVs). Through our Intel® vPro™ and Intel®
their promise of providing increased flexibility, agility,
Centrino® Pro processor technologies, Intel® Active
and utilization. Enabling this vision is driving the addi-
Management Technology (Intel® AMT) in clients deliv-
tion of technology and features across Intel’s diverse
ers these capabilities:
product families.
• Discover: The ability to find and connect to sys-
tems for hardware and software inventory and
resolve issues regardless of power state or system
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10. White Paper Sense, Predict, Act: The Predictive Enterprise
The primary vehicle for achieving these goals is Data is doubling every year, yet customers want to do
increased and improved virtualization, much like what more to improve business decisions. Companies like Wal-
has already been achieved in the storage space in SAN Mart* and Amazon* have expressed a strong interest in
and NAS arrays (i.e., abstracting the physical disc and mining the data for information on a continuous, real-
delivering the virtual volume). Extending this model to time basis. The 24-hour batch cycle is no longer ade-
compute and network resources is a logical next step quate. CIOs are being asked to do more work on more
that holds the promise for Predictive Enterprise opti- data in less time. The data center with the best ability to
mization of server size and capability to exactly fit the process data will deliver the greatest business value.
workload assigned.
Besides providing raw performance leadership, Intel’s
Intel’s leading virtualization performance makes Intel- research and development engine is delivering new plat-
based servers the ideal platform for partitioning into form technologies to further increase I/O performance.
virtual servers. Intel has led the marketplace with the Extensible Markup Language (XML) is the fastest-grow-
introduction of silicon enhancements to improve server ing type of data on the Internet. Intel’s acquisition of
virtualization. Intel® Virtualization Technology, the first XML acceleration companies has combined silicon and
hardware virtualization in standard servers, was intro- software expertise to improve XML processing. Within
duced in 2005. Intel continues to introduce new, the processor, Intel is adding new instructions to speed
enhanced virtualization technologies for servers and processing of large XML data types including searching
desktop and mobile systems, including enhanced I/O and encryption (QuickAssist*).
virtualization and VMware Vmotion* across processor
Data accelerators are getting a lot of attention and
generations.
Intel has opened our front-side bus to drop in accelera-
Collaborating with other leading companies, Intel is tors. The industry momentum for this solution is in the
enabling standards and technology for enhancements to expansion of the PCI/Express standard that Intel is
Ethernet for the data center, combining the affordability driving (Geneseo technology). Geneseo provides a
and ubiquity of Ethernet with the guaranteed latency standard drop-in interface for data- and work-specific
and throughput of other data center fabric technology. acceleration by expanding on an industry standard.
Virtualization is the path of the future data center, and Intel® QuickPath, QuickAssist, and QuickData technolo-
Intel is leading the way through close working relation- gies accelerate data from network, storage, memory,
ships with key ISVs and solution developers. and processors.
Data-Intensive Computing Unified Communications
Analysts are raising the alarm because a massive wall of Virtual offices, remote workers, global distributed
data is about to hit the data center. IT managers need to teams, and mobile road warriors challenge today’s
ensure their architectural choices will not only survive, but information infrastructure. Unified communications can
also take advantage of this data wealth. Intel anticipated deliver features like presence detection, giving users
this trend and—through products, technology, and stan- more information about how and when to connect
dards—is delivering the best in data processing architecture. with colleagues. Instant messaging, voice, and video
collaboration from a single user interface can increase
productivity. Utilizing wireless networks and mobile
clients connects employees on the go. Being able to
deliver these features on a single flexible and scalable
IP network helps reduce total cost of ownership versus
multiple traditional separate networks that require their
own staffing, training, and support models.
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11. Sense, Predict, Act: The Predictive Enterprise White Paper
A workforce that is global and mobile requires a com- Figure 8: The Journey to Predictive Enterprise
munications and collaboration environment that can Chart
deliver voice, data, video, and messaging from a consis-
tent, presence-aware interface. By combining multiple
separate networks with a single unified communica-
tions network, IT departments can deliver new produc-
tivity capabilities while driving down total cost of own-
ership (TCO). According to a recent report by the
Aberdeen Group, enterprises with best-in-class imple-
mentations of unified communications systems aver-
aged annual savings of $154 per user and 49% ROI9. Beyond the next three years, Intel expects enterprises to invest in business
ecosystem capabilities that will build on the capabilities developed during the data center
Intel understands the network. In fact, Intel architec- and enterprise computing stages of development.
ture powers nearly 50% of the high-end IP-PBX sys-
tems from leading vendors. Intel is the leading proces-
sor in enterprise servers and clients. Bringing servers voice over IP (VoIP) is migrated to more comprehensive
and communications together on the same architec- deployments, new security threats emerge.
ture allows for a scalable and flexible enterprise solu- In 2009 Intel will deliver Intel® QuickAssist Technology,
tion that helps reduce TCO. which integrates acceleration for functions like encryption
Intel delivers business value through converged appli- and compression, allowing for more application processing
cations platforms that consolidate multiple functions capabilities. This will provide higher-quality and more secure
on to a single voice, application, and security device. As and cost-effective platforms. In the future, voice commands
and speech recognition and fixed and mobile video confer-
encing will raise productivity to new levels.
Figure 9: Predictive Enterprise Vision Framework
Beyond the next three years, Intel expects enterprises to invest in business ecosystem capabilities that will build on the
capabilities developed during the data center and enterprise computing stages of development.
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12. White Paper Sense, Predict, Act: The Predictive Enterprise
Mobility and Rich User Experience In the next stage, which will happen over the next three
Intel has led in the areas of mobility and performance, years, these businesses will invest in new enterprise com-
two vectors that continue to be critical to the business puting capabilities. The enterprise computing stage of
enterprise moving forward. Graphics and visualization development will build the capabilities developed during
and advanced analytics are also areas of increasing the data center computing stage of development. The
importance. Intel’s leadership in silicon engineering and enterprise computing stage includes:
manufacturing is extending to new integrated tech-
• Adding business management capabilities:
nologies combining graphics and compute. Graphics and
Becoming adaptive, flexible, and dynamically
visualization are becoming more important with the
changeable in both business processes and tech-
transition to Microsoft Windows* Vista and the trend
nology. This includes being able to integrate new
toward a distributed workforce. New collaboration solu-
resources or reallocate existing ones as needed to
tions that integrate voice video and data sharing will
solve business problems and address needs as
drive the need for power and connection in client as
they arise.
the endpoint.
• Providing IT as a service: Enabling optimization
On the analytics side, multiple vectors are driving
through reusable services—reducing development
needs. The agile enterprise enables better and faster
cost, accelerating deployments, reducing applica-
decisions using enterprise data, with a requirement for
tion and data silos, and optimizing computing
secure, interactive access both online and offline.
resources.
Algorithms and analyses performed with desktop and
enterprise search tools are evolving beyond text to Beyond the next three years, Intel expects enterprises
include audio, video, and semantic-based search. This to invest in business ecosystem capabilities that will
growth will demand optimum client performance for build on the capabilities developed during the data cen-
maximum productivity in a knowledge-centric workforce. ter and enterprise computing stages of development
(Figure 9).
The Journey to Predictive Enterprise
The business ecosystem stage will include:
Developing the business and IT capabilities needed to fully
realize the Predictive Enterprise will take years—and a • Building the Predictive Enterprise: Extending
foundation built on emerging enterprise and data center the adaptive business model beyond just quicker
capabilities. This transformation will happen in stages reaction by adding the ability to:
(Figure 8).
— Sense: Collect real-time data
The first stage, the data center computing stage, has
— Predict: Develop accurate conclusions
already been taking place. Over the last three years, many
enterprises have invested in new data center capabilities — Act: Make more effective actions
to help them:
• Making IT services an integral part of busi-
• Do more with less: Business management solutions ness capabilities: Continued expansion of tech-
have helped to reduce costs through power/thermal nology-enabled, dynamic business relationships
optimization, virtualization, manageability, and security. and an explosion in business analytics and busi-
ness automation.
• Gain control over IT: Information technologies
have helped to reduce capital and maintenance costs
and complexity and make data centers quickly and
dynamically scalable.
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13. Sense, Predict, Act: The Predictive Enterprise White Paper
Building the Predictive Enterprise Appendix: Industry Examples
Intel is committed to providing the computational
Logistics/Transportation: Metro
capacity to meet today's and tomorrow's business
Metro is the transportation authority for the area around St.
demands with the next-generation Intel® Core™2 and
Louis, MO,. Its fleet of 433 MetroBuses carries more than
Intel® Xeon® processor families based on our industry-
100,000 passengers daily. Metro recently completed a pilot
leading 45-nanometer (nm) Hi-k + metal gate process
program based on predictive business. The goal was to see
technology and latest microarchitecture enhance-
if Metro could forecast and address vehicle equipment prob-
ments. This next evolution in Intel Core microarchitec-
lems in a way that would reduce maintenance costs while
ture builds on the tremendous success of our revolu-
also minimizing customer inconvenience. The pilot program
tionary microarchitecture (currently used in both the
enabled Metro to:
Intel Xeon and Intel Core 2 processor families) and
marks the next step in Intel's rapid cadence of deliver- • Sense: Twenty buses were outfitted with sensor
ing a new process technology with an enhanced devices and data collection boxes that sent engine and
microarchitecture or an entirely new microarchitecture transmission information to central data collection com-
every year. puter.
Over many years, Intel has built a unique capability and • Predict: For each bus, the computer first developed a
combination of products, technologies, tools, and serv- model that reflected normal operating conditions and
ices. We have also established the deepest relation- performance. Then data from each bus was captured
ships with hardware, software, and integrator compa- three times a day and compared with the model for
nies around the world. Intel continues to invest in new that specific vehicle.
products, infrastructure, and standards for the future.
• Act: When a particular bus operated outside its per-
Intel will continue to work with customers, hardware formance parameters, it showed up on a watch list.
and software vendors, and system integrators to help Once alerted, mechanics could call up more detailed
provide and enable the underlying computer stack for data, then identify and execute an ideal response.
the Predictive Enterprise. Intel’s role is to develop and
The next phase of the project will combine maintenance
align the Predictive Enterprise framework and work
predictions with other data such as the cost and availability
with the IT industry ecosystem as a catalyst for busi-
of parts and labor and the value of lost revenue. This will
ness innovation.
enable public transportation officials to fine-tune their over-
Since nothing is more important than the business suc- all maintenance operation and significantly reduce costs. For
cess of our customers and colleagues around the example, improved lifetime maintenance along with continu-
globe, Intel will continue leading the industry through ous, real-time monitoring could keep buses in service
innovation, enabling, standardization, and integration between 8 and 10% longer, saving as much as $25,000 per
inside your platforms, across your business, throughout bus over the life of the vehicle.
the industry, and across the world.
To learn more or begin taking steps to make your
own company a Predictive Enterprise, contact the
consulting professionals at Intel® Solution Services or
visit www.intel.com/go/intelsolutionservices.
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14. White Paper Sense, Predict, Act: The Predictive Enterprise
HealthCare: St Vincent’s Hospital • Sense: When a customer checks out, the bar code is
St. Vincent's is a 300-bed, acute care hospital with scanned at the register. Managers use handheld wire-
advanced services for treating patients. From a 2004 less devices that run applications processed on the
analysis, St. Vincent’s estimated there were 3,161 hours central mainframe to look up inventory, order more
of medical staff time diverted per year from delivering products, adjust prices, and produce coupon stickers
healthcare. that are scanned at the register. All of this data is
transmitted to a central data warehouse for storage
By implementing new technology in key areas of the
and analysis.
hospital, St. Vincent's was able to sense, analyze, pre-
dict, and then act upon information to address this • Predict: By analyzing daily store sales data, the
issue and deliver: Hannaford category manager for meat can see if a
store is cutting too much or too little of a specific meat
• An 85% improvement in admissions time
item on a given day and then develop a revised plan to
• A 100% improvement in discharge time improve in-store meat offerings for the next day.
• Increased patient satisfaction • Act: The store’s butcher can access daily store sales
data analysis through an application that runs on an in-
• Better staff morale and productivity
store PC that pulls the information from the corporate
This Predictive Enterprise solution was initially mainframe. Knowing that there is a surplus of a particu-
deployed along with business process modifications in lar item, and based on the recommendations of the
a 35-bed surgical unit. The seven-month project gener- Hannaford category manager, the butcher can cut a
ated impressive benefits and return on investment reduced amount of that item for the following day.
(ROI). The hospital is now rolling the solution out to 12
Timely and accurate in-store sales data collection and analy-
additional nursing units. The increased visibility of
sis make it possible for Hannaford and other grocers to suc-
patient flow data helped produce significant improve-
cessfully operate in an industry well known for its small
ments in patient throughput.
profit margins, which hover between 1 and 2%.
The same information gathered during the pilot pro-
gram can also be used to analyze patient care, help Technology Infrastructure: Asklepios
optimize clinician and nurse resources, and make better One of Europe’s leading healthcare providers, Asklepios has
usage of assets—all from using the initial solution an annual turnover of EUR 2.3 billion (US$2.9 billion). It runs
investment in technologies to: 95 rehabilitation centers, clinics, and hospitals in Germany
and across Europe and the USA.
• Sense what is happening in the environment
Asklepios needed a solution that could:
• Predict the consequences of the information
gathered • Reduce PC downtime, potentially increasing staff
productivity and delivering more efficient and timely
• Act through providing recommendations
patient care.
Retail: Hannaford Brothers • Provide reliable, 24/7 visibility to the IT infrastruc-
Hannaford Brothers operates 158 supermarkets and ture, operating system, and software to cut average
supermarket/pharmacies in New England and New system downtime from seven hours to a few minutes.
York. For supermarkets and other traditional retailers,
technological advancements in the last decade have
transformed both customer service and business oper-
ations. With help from Intel, Hannaford Brothers was
able to put together an infrastructure that can:
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15. Sense, Predict, Act: The Predictive Enterprise White Paper
Initially deployed at one site, this Predictive Enterprise These capabilities augment an organization's own sys-
solution is now being rolled out across the rest of the tems for asset management, software licensing,
Asklepios Group. Having seen the solution's value, helpdesk, capacity planning, disaster recovery, availabili-
Asklepios is continuing to test and assess additional ty management, and security.
features such as platform-level alerting.
Contributing Authors
The same information that has been gathered (sensed)
• Enrique Castro-Leon
has helped with the proactive maintenance in the sup-
port and helpdesk operations. These features can also • Charles Cortese
be integrated to assess asset usage and registering
• Robert Deutsche
and validation of all software installed across the IT
infrastructure. It can also be integrated with the • Steven Gorenbergh
change management processes to assure that all secu-
• Jim Henrys
rity, patches, definition files, and versions of software
are applied everywhere with the same level of security. • Ken Lloyd
The capabilities that allow the sensing also allow tech-
• George Moakley
nicians to act on the instructions sent, run programs,
shut down the system, or start up the system. • John Morton
Intel’s Predictive enterprise within IT Infrastructure: • Mary Murphy-Hoye
• Senses what is happening in the environment • Parviz Peiravi
• Predicts the consequences of the information • Kate Pugh
gathered
• Acts by providing recommendations
1 “The Convergence of Grid, SOA and Virtualization”, Intel Software Insight, July 2006.
2 Stephan H. Haeckel, Adaptive Enterprise: Creating and Leading Sense-And-Respond Organizations, Harvard Business School Press, July 1999.
3 Sanjay Mathur and Baiju Shah, “The Power of Predictive Insight”, Accenture Outlook, October 2005.
4 Nicholas G. Carr, "IT Doesn't Matter Anymore," Harvard Business Review, 1 May 2003.
5 “Top 10 CIO Management Priorities,” Gartner Group, 2002.
6 “Top 10 CIO Management Priorities,” Gartner Group, 2007.
7 Susan Firka, “Business Intelligence,” Proctor and Gamble, June 2006.
8 Gareth Herschel, “Introduction to CRM Analytics,” Gartner Symposium ITExpo, October 2002.
9 Peter Brockmann, and Bojan Simic, “Beyond Dial-Tone: Unified Communications Benchmark Report,” Aberdeen Group, December 2006.
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