This document discusses faster and cheaper approaches to information governance. It suggests starting small with a tangible project that addresses an acute business problem. Use existing resources and focus on quick success metrics to prove value. Grow the initiative over time by publicizing results, establishing executive support, and developing a growth plan around key technologies like data quality, master data management and information lifecycle management. The goal is more effective yet lower cost information governance.
The document discusses holistic enterprise data management. It introduces Black Watch Data (BWD) and its offerings to help businesses address data management in a holistic way through tools, resources, knowledge and skills. BWD's suite includes software to assist with data governance, continuous data validation and rule enforcement, and master data management. The document outlines BWD's approach to data sustainability through governance, cleansing and enrichment, enforcement, and monitoring processes. It also discusses specific competencies like data migration, integration and technology consolidation.
The document advertises an 8th conference on Master Data Management to take place in Berlin from September 24-26, 2012. The conference will focus on empowering businesses through improved data governance structures and financial benefits of master data management. Attendees will learn techniques for master data definitions and governance, and how to maximize benefits from improved product and customer data management. The conference includes case studies and presentations on topics like big data developments, data quality, and long-term master data management strategies.
The document discusses building effective data governance through a data governance summit. It outlines that business intelligence requires highly relevant applications, reports and dashboards designed to provide users with specific, actionable knowledge from corporate data, which requires an optimized data architecture and governance model. It then discusses what data governance entails, focusing on decision rights, processes and organizational structures governing enterprise information. Finally, it outlines a seven phase lifecycle for building an effective data governance program, including developing a value statement, roadmap, funding, design, deployment, ongoing governance and monitoring.
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
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.
Real-World Data Governance: Governing Data through MetadataDATAVERSITY
The webinar discusses governing data through metadata. Metadata includes information from data management tools, artifacts from data governance programs, and records specifically for data accountability. Metadata is a byproduct of data governance and can be used in many ways by organizations. The webinar will focus on identifying the most valuable metadata for governance, where it can be found, and how to use metadata to support governance initiatives. Real-world examples of metadata uses will be shared.
The document discusses getting value from data and outlines several key steps:
1. Conduct a realistic assessment of your current data maturity and focus of value. This includes determining how advanced your reporting, analytics, and data governance currently are.
2. Assign a business owner to construct a data strategy to add value, based on the current assessment.
3. Develop a value framework that becomes an agreed and sponsored plan for the business.
4. The focus should be on adding value, not leading with technology, and accounting for cultural and people issues.
This document discusses faster and cheaper approaches to information governance. It suggests starting small with a tangible project that addresses an acute business problem. Use existing resources and focus on quick success metrics to prove value. Grow the initiative over time by publicizing results, establishing executive support, and developing a growth plan around key technologies like data quality, master data management and information lifecycle management. The goal is more effective yet lower cost information governance.
The document discusses holistic enterprise data management. It introduces Black Watch Data (BWD) and its offerings to help businesses address data management in a holistic way through tools, resources, knowledge and skills. BWD's suite includes software to assist with data governance, continuous data validation and rule enforcement, and master data management. The document outlines BWD's approach to data sustainability through governance, cleansing and enrichment, enforcement, and monitoring processes. It also discusses specific competencies like data migration, integration and technology consolidation.
The document advertises an 8th conference on Master Data Management to take place in Berlin from September 24-26, 2012. The conference will focus on empowering businesses through improved data governance structures and financial benefits of master data management. Attendees will learn techniques for master data definitions and governance, and how to maximize benefits from improved product and customer data management. The conference includes case studies and presentations on topics like big data developments, data quality, and long-term master data management strategies.
The document discusses building effective data governance through a data governance summit. It outlines that business intelligence requires highly relevant applications, reports and dashboards designed to provide users with specific, actionable knowledge from corporate data, which requires an optimized data architecture and governance model. It then discusses what data governance entails, focusing on decision rights, processes and organizational structures governing enterprise information. Finally, it outlines a seven phase lifecycle for building an effective data governance program, including developing a value statement, roadmap, funding, design, deployment, ongoing governance and monitoring.
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
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.
Real-World Data Governance: Governing Data through MetadataDATAVERSITY
The webinar discusses governing data through metadata. Metadata includes information from data management tools, artifacts from data governance programs, and records specifically for data accountability. Metadata is a byproduct of data governance and can be used in many ways by organizations. The webinar will focus on identifying the most valuable metadata for governance, where it can be found, and how to use metadata to support governance initiatives. Real-world examples of metadata uses will be shared.
The document discusses getting value from data and outlines several key steps:
1. Conduct a realistic assessment of your current data maturity and focus of value. This includes determining how advanced your reporting, analytics, and data governance currently are.
2. Assign a business owner to construct a data strategy to add value, based on the current assessment.
3. Develop a value framework that becomes an agreed and sponsored plan for the business.
4. The focus should be on adding value, not leading with technology, and accounting for cultural and people issues.
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.
Introduccion a SQL Server Master Data ServicesEduardo Castro
En esta presentación hacemos una introducción a SQL Server 2008 R2 Master Data Services.
Saludos,
Ing. Eduardo Castro Martínez, PhD – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Technorati Tags: SQL Server
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http://sqlserverpedia.blogspot.com/
The new role of CIO, Borut Kolmanič, S&T SlovenijaS&T GROUP
The document discusses the changing role of the CIO. It notes that business demands are increasing while IT budgets are flat, and that CIOs must focus on both running IT operations and enabling business change. To succeed, CIOs need business knowledge, executive support, communication skills, and the ability to select projects that balance quick wins with long-term impacts. The document recommends CIOs optimize costs through services like cloud computing and outsourcing, create IT strategies aligned with business goals, and develop expertise in change management to help business processes change before implementing new technologies.
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.
Manthan provides solutions and services across various domains including analytics, information management, big data, social media intelligence, mobile dashboards, master data management, and data quality. It has over 700 associates with expertise in research and development, different engagement models, and over 350 accelerators and solution templates. Services include consulting, implementation, custom development, and managed services.
SAS Predictive Asset Maintenance enables organizations to reduce the risk of revenue loss by reducing asset and plant downtime. By predicting events that can cause outages, the solution can help reduce the amount of unplanned maintenance and maintenance costs. It also helps organizations run their assets at peak performance, improving quality and reducing energy costs.
zakipoint helps clients maximize revenue through big data analytics. It integrates strategy, operations, technology and data science to redesign businesses. zakipoint identifies goals and challenges, analyzes ROI from data opportunities, and prioritizes implementing new data models. It runs advanced analytics on structured and unstructured data using machine learning. zakipoint also implements infrastructure for storing, managing and analyzing big data to fundamentally change costs or store vast quantities of data. This allows targeting customers, improving retention, and increasing cross-sell and upsell through comprehensive use of data.
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.
Nacre systems introduction & product overviewNacre Sys
Nacre Systems is an IT solutions company that develops custom software to address complex business problems. It builds scalable solutions that align with client processes and goals to help businesses achieve their objectives. Nacre Systems offers solutions for industries like pharmaceuticals, manufacturing, and after-sales service to provide benefits like reduced costs, improved visibility, and faster decision-making.
AGC helps customers gain business intelligence insights from their data by transforming volumes of data into intuitive dashboards and reports. They have a team of SAP BI/BO experts who implement business intelligence platforms to enhance enterprise performance. These platforms provide personalized views of key metrics, detailed reports for decision makers, analytics capabilities, and access to real-time data to enable informed decisions.
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.
Datamine provides data-intensive information technology solutions & services for Telecoms, Banking & Retail industry. Our offering answers the needs of modern management for analytics, process insight, business & market intelligence.
How to implement measurements to drive valueOMNINET USA
Slides belonging to a BrighTalk presentation given by David Smith, president of Micromation.
How to Implement Measurements to drive value
Improve the "Business of IT" by using a measurement framework and metrics that matter most.
Metrics are important to management. What's not measured cannot be managed. But what should be measured, why and how?
If you're experiencing any of these symptoms, then this session is for you:
• not sure what to measure
• not sure how to measure
• IT metrics don't seem to support business goals
• too busy fighting fires to become more proactive
• measure too many things already
• business/IT goals not measured
• priorities focus on noise vs. what's important
• customer complaints drive improvements
• efficiency, effectiveness, quality not well understood
• reduced visibility resulting in loss of control
• not sure who needs what level of detail
Learning Objectives:
Metrics validate your IT strategy and vision; provide direction with targets and metrics; justify changes with a means to gauge value-realized; signal when to intervene with corrective actions.
Hear case studies and examples that help you improve alignment, meet compliance and drive service excellence.
Learn the secrets of how measurement frameworks works and take away a roadmap with actionable steps. Let's get IT started.
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.
This webinar from Gartner provided seven building blocks for a successful master data management (MDM) plan: vision, strategy, metrics, information governance, organization and roles, information lifecycle, and enabling infrastructure. The presentation emphasized the importance of establishing an MDM vision aligned with business goals, assessing the organization's current MDM maturity, defining metrics to measure success, establishing governance, and considering organizational roles and responsibilities. It also stressed understanding the information lifecycle and having the right technology infrastructure.
The document is an IBM study that developed a data center operational efficiency model with four stages - Basic, Consolidated, Available, and Strategic. Data centers operating at the Strategic level allocate 50% more resources to new projects compared to Basic centers. Key characteristics of Strategic data centers include optimizing assets for high availability, designing for flexibility, using automation tools, and aligning the data center plan with business goals. The study found Strategic data centers delivered greater investment in initiatives, efficiency, and flexibility compared to Basic centers.
Stop the madness - Never doubt the quality of BI again using Data GovernanceMary Levins, PMP
Does this sound familiar? "Are you sure those numbers are right?" "Why are your numbers different than theirs?"
We've all heard it and had that gut wrenching feeling of doubt that comes with uncertainty around the quality of the numbers.
Stop the madness! Presented in Dunwoody on April 18 by industry leading expert Mary Levins who discusseses what it takes to successfully take control of your data using the Data Governance Framework. This framework is proven to improve the quality of your BI solutions.
Mary is the founder of Sierra Creek Consulting
Predictive Analytics: Extending asset management framework for multi-industry...Capgemini
The document provides information about a webinar on predictive asset management. It discusses how asset data from sensors can be analyzed using HP's HAVEn platform to optimize equipment reliability, performance management, operations control, and predictive maintenance. Examples of predictive asset analytics solutions for various industries are also presented.
3 Keys To Successful Master Data Management - Final PresentationJames Chi
This document discusses keys to successful master data management including process, governance, and architecture. It summarizes a survey finding that while many companies see data as an asset, only around 20% have implemented master data management. Successful MDM requires alignment with business objectives, clear governance models, and comprehensive solution architectures. The document advocates establishing policies, procedures, standards, governance, and tools to create and maintain high-quality shared reference data.
Big Data in Financial Services: How to Improve Performance with Data-Driven D...Perficient, Inc.
Most banking and financial services organizations have only scratched the surface of leveraging customer data to transform their business, realize new revenue opportunities, manage risk and address customer loyalty. Yet a business’s digital footprint continues to evolve as automated payments, location-based purchases, and unstructured customer communications continue to influence the technology landscape for financial services.
Business intelligence and analytics solutions can help organizations turn abundant data into actionable insights to make better business decisions. As data increases 650% over the next five years, these solutions can leverage big data to build customer insights, enhance customer experience, and understand customer behaviors. Enfathom helps clients unlock the power of their data to identify new revenue opportunities and performance improvements through delivering solutions that derive insight from data and achieve transformative business results. They have delivered hundreds of solutions to large companies to improve customer relationships, profitability, and reduce time-to-value through transforming data into actionable insights.
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.
Introduccion a SQL Server Master Data ServicesEduardo Castro
En esta presentación hacemos una introducción a SQL Server 2008 R2 Master Data Services.
Saludos,
Ing. Eduardo Castro Martínez, PhD – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Technorati Tags: SQL Server
LiveJournal Tags: SQL Server
del.icio.us Tags: SQL Server
http://ecastrom.blogspot.com
http://ecastrom.wordpress.com
http://ecastrom.spaces.live.com
http://universosql.blogspot.com
http://todosobresql.blogspot.com
http://todosobresqlserver.wordpress.com
http://mswindowscr.org/blogs/sql/default.aspx
http://citicr.org/blogs/noticias/default.aspx
http://sqlserverpedia.blogspot.com/
The new role of CIO, Borut Kolmanič, S&T SlovenijaS&T GROUP
The document discusses the changing role of the CIO. It notes that business demands are increasing while IT budgets are flat, and that CIOs must focus on both running IT operations and enabling business change. To succeed, CIOs need business knowledge, executive support, communication skills, and the ability to select projects that balance quick wins with long-term impacts. The document recommends CIOs optimize costs through services like cloud computing and outsourcing, create IT strategies aligned with business goals, and develop expertise in change management to help business processes change before implementing new technologies.
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.
Manthan provides solutions and services across various domains including analytics, information management, big data, social media intelligence, mobile dashboards, master data management, and data quality. It has over 700 associates with expertise in research and development, different engagement models, and over 350 accelerators and solution templates. Services include consulting, implementation, custom development, and managed services.
SAS Predictive Asset Maintenance enables organizations to reduce the risk of revenue loss by reducing asset and plant downtime. By predicting events that can cause outages, the solution can help reduce the amount of unplanned maintenance and maintenance costs. It also helps organizations run their assets at peak performance, improving quality and reducing energy costs.
zakipoint helps clients maximize revenue through big data analytics. It integrates strategy, operations, technology and data science to redesign businesses. zakipoint identifies goals and challenges, analyzes ROI from data opportunities, and prioritizes implementing new data models. It runs advanced analytics on structured and unstructured data using machine learning. zakipoint also implements infrastructure for storing, managing and analyzing big data to fundamentally change costs or store vast quantities of data. This allows targeting customers, improving retention, and increasing cross-sell and upsell through comprehensive use of data.
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.
Nacre systems introduction & product overviewNacre Sys
Nacre Systems is an IT solutions company that develops custom software to address complex business problems. It builds scalable solutions that align with client processes and goals to help businesses achieve their objectives. Nacre Systems offers solutions for industries like pharmaceuticals, manufacturing, and after-sales service to provide benefits like reduced costs, improved visibility, and faster decision-making.
AGC helps customers gain business intelligence insights from their data by transforming volumes of data into intuitive dashboards and reports. They have a team of SAP BI/BO experts who implement business intelligence platforms to enhance enterprise performance. These platforms provide personalized views of key metrics, detailed reports for decision makers, analytics capabilities, and access to real-time data to enable informed decisions.
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.
Datamine provides data-intensive information technology solutions & services for Telecoms, Banking & Retail industry. Our offering answers the needs of modern management for analytics, process insight, business & market intelligence.
How to implement measurements to drive valueOMNINET USA
Slides belonging to a BrighTalk presentation given by David Smith, president of Micromation.
How to Implement Measurements to drive value
Improve the "Business of IT" by using a measurement framework and metrics that matter most.
Metrics are important to management. What's not measured cannot be managed. But what should be measured, why and how?
If you're experiencing any of these symptoms, then this session is for you:
• not sure what to measure
• not sure how to measure
• IT metrics don't seem to support business goals
• too busy fighting fires to become more proactive
• measure too many things already
• business/IT goals not measured
• priorities focus on noise vs. what's important
• customer complaints drive improvements
• efficiency, effectiveness, quality not well understood
• reduced visibility resulting in loss of control
• not sure who needs what level of detail
Learning Objectives:
Metrics validate your IT strategy and vision; provide direction with targets and metrics; justify changes with a means to gauge value-realized; signal when to intervene with corrective actions.
Hear case studies and examples that help you improve alignment, meet compliance and drive service excellence.
Learn the secrets of how measurement frameworks works and take away a roadmap with actionable steps. Let's get IT started.
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.
This webinar from Gartner provided seven building blocks for a successful master data management (MDM) plan: vision, strategy, metrics, information governance, organization and roles, information lifecycle, and enabling infrastructure. The presentation emphasized the importance of establishing an MDM vision aligned with business goals, assessing the organization's current MDM maturity, defining metrics to measure success, establishing governance, and considering organizational roles and responsibilities. It also stressed understanding the information lifecycle and having the right technology infrastructure.
The document is an IBM study that developed a data center operational efficiency model with four stages - Basic, Consolidated, Available, and Strategic. Data centers operating at the Strategic level allocate 50% more resources to new projects compared to Basic centers. Key characteristics of Strategic data centers include optimizing assets for high availability, designing for flexibility, using automation tools, and aligning the data center plan with business goals. The study found Strategic data centers delivered greater investment in initiatives, efficiency, and flexibility compared to Basic centers.
Stop the madness - Never doubt the quality of BI again using Data GovernanceMary Levins, PMP
Does this sound familiar? "Are you sure those numbers are right?" "Why are your numbers different than theirs?"
We've all heard it and had that gut wrenching feeling of doubt that comes with uncertainty around the quality of the numbers.
Stop the madness! Presented in Dunwoody on April 18 by industry leading expert Mary Levins who discusseses what it takes to successfully take control of your data using the Data Governance Framework. This framework is proven to improve the quality of your BI solutions.
Mary is the founder of Sierra Creek Consulting
Predictive Analytics: Extending asset management framework for multi-industry...Capgemini
The document provides information about a webinar on predictive asset management. It discusses how asset data from sensors can be analyzed using HP's HAVEn platform to optimize equipment reliability, performance management, operations control, and predictive maintenance. Examples of predictive asset analytics solutions for various industries are also presented.
3 Keys To Successful Master Data Management - Final PresentationJames Chi
This document discusses keys to successful master data management including process, governance, and architecture. It summarizes a survey finding that while many companies see data as an asset, only around 20% have implemented master data management. Successful MDM requires alignment with business objectives, clear governance models, and comprehensive solution architectures. The document advocates establishing policies, procedures, standards, governance, and tools to create and maintain high-quality shared reference data.
Big Data in Financial Services: How to Improve Performance with Data-Driven D...Perficient, Inc.
Most banking and financial services organizations have only scratched the surface of leveraging customer data to transform their business, realize new revenue opportunities, manage risk and address customer loyalty. Yet a business’s digital footprint continues to evolve as automated payments, location-based purchases, and unstructured customer communications continue to influence the technology landscape for financial services.
Business intelligence and analytics solutions can help organizations turn abundant data into actionable insights to make better business decisions. As data increases 650% over the next five years, these solutions can leverage big data to build customer insights, enhance customer experience, and understand customer behaviors. Enfathom helps clients unlock the power of their data to identify new revenue opportunities and performance improvements through delivering solutions that derive insight from data and achieve transformative business results. They have delivered hundreds of solutions to large companies to improve customer relationships, profitability, and reduce time-to-value through transforming data into actionable insights.
Business intelligence and analytics solutions can help organizations turn abundant data into actionable insights to make better business decisions. As data increases 650% over the next five years, these solutions can leverage big data to build customer insights, enhance customer experience, and understand customer behaviors. Enfathom helps organizations identify areas for new revenue and performance improvement by delivering data solutions to derive insight from data and achieve transformative business results such as improved customer relationships, profitability, and margins. Enfathom has delivered hundreds of solutions to large companies to improve processes like customer acquisition, reduce reporting redundancy by 70%, and conduct predictive modeling and statistical analysis.
Business intelligence and analytics solutions can help organizations turn abundant data into actionable insights to make better business decisions. As data increases 650% over the next five years, these solutions can leverage big data to build customer insights, enhance customer experience, and understand customer behaviors. Enfathom helps organizations unlock the power of their data through solutions that allow deriving insights, gaining clarity, and achieving transformative business results such as improving customer relationships, profitability, and reducing time-to-value.
Mike2.0 Information Governance Overviewsean.mcclowry
This document introduces the MIKE2.0 methodology for information governance. MIKE2.0 is an open source methodology that provides a comprehensive framework for enterprise information management. It addresses the growing complexity of managing exponential data growth across increasingly federated organizations. The methodology promotes standards and transparency to improve data quality and business insights while increasing efficiency.
The document discusses the rise of big data and why it is important for organizations now. It notes that the volume of data is growing exponentially and will soon reach zettabytes in size. However, most of this data is unstructured and many business leaders do not have access to all the information they need or do not fully trust the information they have. The traditional approach of having IT design structured solutions based on business requirements is no longer sufficient. Instead, the document advocates a big data approach where organizations explore and analyze all available data sources using a platform to discover new insights in an iterative manner and determine new questions to ask. IBM's big data platform is presented as a solution to address these needs by handling large volumes,
Business intelligence systems are also unable to deal with market volatiles. Infosys' business analytics offerings provide the processes, tools and expertise to extract the most from information investments description.
Australian CIO Summit 2012: A Strategic Approach To BIG DATA Analytics. Separ...IT Network marcus evans
Australian CIO Summit 2012: A Strategic Approach To BIG DATA Analytics. Separating Hype from Reality by Ian Forrester, Managing Consultant, Inside Info
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/.
The document discusses elements of developing a business intelligence strategy, including understanding an organization's BI maturity level, aligning metrics and goals across different business units, establishing a Business Intelligence Competency Center, and determining whether to build a BI solution from scratch or purchase pre-built BI applications. It provides an overview of various components that should be considered when creating a comprehensive BI strategy.
Performance Management With Rational Insight - Karthi DRoopa Nadkarni
The document introduces IBM Rational Insight, a performance measurement solution that helps businesses improve software delivery and drive innovation. It does this by (1) providing real-time visibility into project and process performance across disparate tools and teams, (2) enabling continuous improvement through historical data analysis and benchmarking, and (3) aligning activities with strategic objectives through measurable key performance indicators.
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.
Tavant Technologies Business Intelligencevictorkyler
Tavant is a global IT solutions and services provider that offers business intelligence (BI) services and customized solutions. They have expertise in developing large, complex BI solutions across many industries using technologies like Oracle, MySQL, SQL Server, Informatica, and MicroStrategy. Their BI services include designing BI strategies, managing BI operations, improving data quality, and implementing cutting-edge technologies to analyze large volumes of structured and unstructured data. Tavant aims to deliver business critical data and insights to customers consistently through an agile development approach and proven track record.
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.
Real-World Data Governance - Tools of Data Governance - Purchased and Develop...DATAVERSITY
The document discusses tools that can be used to enable and support data governance programs. It describes templates and tools that can be developed internally, such as an operating model to formalize roles and responsibilities, a common data matrix to record accountability for data, and templates for workflows and issue resolution. The webinar will focus on these types of internally developed tools that can help structure and add value to a company's data governance initiative.
Tavant BI Capabilities: Architect and design large complex BI solutions tailored to meet your needs
Build/refine BI Strategy, including Roadmap creation and Budgeting
24x7 monitoring for business critical BI applications
Improve data quality by identifying/improving and automating data testing processes
Implement cutting edge technologies to process large volumes of structured and unstructured data
Execute architecture, technology and performance assessment of existing BI solutions
Estuate - Control Application Data GrowthEstuate, Inc.
Data growth is a significant challenge for most Fortune 1000 companies. The drivers of data growth are organic business growth, mergers and acquisitions, data retention requirements and something the author of this white paper refers to as the “Data Multiplier Effect.”
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.
Smarter Commerce, Salg og Marketing, Thomas Steglich-AndersenIBM Danmark
The document discusses smarter commerce and running a business more efficiently. It outlines key areas like marketing, procurement, order management, supply chain, fulfillment, and service. It also shows how customers can research, order, change, track and return products across different channels like stores, websites, calls, and mobile. The goal is running the business smarter through better brand relationships, procurement, order management, supply chain visibility, production planning, inventory analytics, and operational efficiency.
IBM is placing a strong emphasis on mobile technologies and applications. The document discusses IBM's MobileFirst initiative which provides tools to help organizations create more personalized, efficient and secure mobile interactions. It highlights growth in mobile transactions, devices, apps and users. IBM acquired 10 companies since 2006 and doubled its 2013 investment in mobile to strengthen its capabilities. The Worklight platform allows developing cross-platform hybrid and native mobile apps using a common codebase. It provides tools for testing, analytics, push notifications, and app distribution to enterprises.
The document discusses several topics related to smart cities and the Internet of Things (IoT), including developing solutions to track sea containers, optimize construction projects using RFID tags, and challenge banks to implement digital marketing. It also discusses trends in IoT such as the growing number of connected devices. The document advocates addressing problems through new technologies and taking on challenges in an innovation perspective.
Echo.it is an internal social media and engagement platform that helps companies align employee actions with strategic goals. It allows employees to share stories of their daily actions and how they further company strategies. Managers can use Echo.it to emphasize desired behaviors, provide recognition, and gain insights into organizational engagement. Employees are invited to a customized platform on Echo.it to share actions in categories related to company values and priorities. Their contributions are then aggregated into engagement statistics and recognition rewards to inspire further aligned actions across the organization. Echo.it offers a SaaS solution that is quick to set up and fully automated to launch and retain users.
The document discusses IBM's Big Data Platform for turning large and complex data into business insights. It provides an overview of key big data challenges faced by organizations and how the IBM platform addresses these challenges through solutions that handle the volume, velocity, variety and veracity of big data. These solutions include analytics, data warehousing, streaming analytics and Hadoop technologies. Use cases are presented for big data exploration, enhancing customer views, security intelligence, operations analysis and augmenting data warehouses.
Smarter Workforce Solutions focuses on helping employees transition to new tools and ways of working by changing mindsets and organizational culture, not just tools. Ginni Rometty notes that in a social enterprise, your value comes from the knowledge you share with others, not just what you accumulate yourself.
The document describes NumaConnect, a technology that tightly couples commodity servers into a single large system with shared memory, I/O, and a single operating system image. Key features include cache coherent global shared memory accessible by all CPUs, a shared I/O subsystem, and support for various APIs. NumaConnect uses custom NumaChip ASICs and a high-speed interconnect fabric to create a unified memory address space across servers at cluster prices. It can scale to thousands of nodes with hundreds of thousands of cores and petabytes of shared memory. Benchmark results show NumaConnect delivers low latency, high bandwidth, and excellent scaling for applications.
Mellanox is a leading provider of high-performance interconnect solutions including InfiniBand and Ethernet technologies. It has over 1,200 employees worldwide and reported record revenue in 2012 of $500.8 million, up 93% year-over-year. Mellanox's interconnect solutions reduce application wait times for data and increase ROI on data center infrastructure.
The document discusses Intel's HPC portfolio and roadmap update. It provides an overview of the new Intel Xeon E5-2600 v2 processor family, highlighting its efficiency, performance, and security features. The Xeon E5-2600 v2 is expected to deliver up to 30% more performance using the same or less power compared to the previous generation. It offers up to 12 cores, 30MB of cache, and support for the latest I/O and memory technologies to provide powerful and efficient processing for modern data centers.
IBM general parallel file system - introductionIBM Danmark
The document provides information about IBM's General Parallel File System (GPFS) 3.5 and introduces the GPFS Storage Server (GSS). It summarizes that GPFS is a scalable high-performance file management system that can scale from 1 to 8192 nodes. The GSS is a new storage solution using IBM servers and JBOD storage to provide high capacity and performance storage in a scalable building block approach. The GSS has no storage controllers and provides a single integrated storage solution built on GPFS software.
The document discusses IBM's NeXtScale computing platform. Key points include:
- NeXtScale uses a modular, scale-out architecture based on a dense 6U chassis that can hold 12 half-width server or expansion nodes.
- The initial compute node, the nx360 M4, is a 1U half-width server optimized for HPC workloads with support for Intel's latest Xeon processors.
- Native expansion options include a storage node that holds up to 32TB and a PCI node to support GPUs and Intel Xeon Phi coprocessors.
- NeXtScale is positioned as the successor to IBM's iDataPlex platform, offering greater flexibility, density, and
Future of Power: PowerLinux - Jan Kristian NielsenIBM Danmark
This presentation discusses IBM's PowerLinux offering, which combines the Power architecture with the Linux operating system. It highlights:
- New PowerLinux 7R4, 7R2, and 7R1 systems optimized for data-intensive and Java workloads
- Over 1,600 IBM software applications and 2,500+ third party applications certified or optimized for PowerLinux
- An IBM Big Data solution using PowerLinux servers and InfoSphere BigInsights for Hadoop-based analytics
Future of Power: Power Strategy and Offerings for Denmark - Steve SibleyIBM Danmark
IBM is promoting its Power Systems as optimized for big data, analytics, mobile, social, and cloud workloads. Key highlights include Power Systems providing a flexible, secure infrastructure to support next generation applications and analytics on big data. IBM also emphasizes partnerships with software vendors and the open innovation through the OpenPOWER consortium to deliver client choice and drive down costs.
This document discusses big data and provides an overview of key concepts:
- Big data is defined as datasets that are too large or complex for traditional data management tools to handle. It is characterized by volume, velocity, and variety.
- Big data comes from a variety of sources like social media, sensors, web logs, and transaction systems. It is growing rapidly due to the digitization of information.
- Big data can be used for applications like enhancing customer insights, optimizing operations, and extending security and intelligence capabilities. Example use cases are described.
- Architecting solutions for big data requires handling its scale and integrating diverse data types and sources. Both traditional and new analytics approaches are needed.
Future of Power: IBM PureFlex - Kim MortensenIBM Danmark
IBM offers a portfolio of integrated systems designed to improve IT efficiency, accelerate applications and analytics, and simplify cloud infrastructure. This includes PureFlex and Flex System which tightly integrate compute, storage, networking and management. PureSystems provide expertise through pre-integrated solutions and patterns that simplify tasks. Clients benefit from higher performance, utilization and lower costs through integration and automation.
Future of Power: IBM Trends & Directions - Erik RexIBM Danmark
This document provides an overview of IBM i trends and directions presented at a conference on September 4, 2013. It discusses new Power7+ servers with higher frequencies and more L3 cache providing better price/performance. It also outlines IBM i roadmap commitments, new technology refreshes, and strategies around virtualization, availability, security and simplification to focus on business needs. Customer input and priorities are reviewed to guide IBM i investment themes around solutions for today and the future.
Future of Power: Håndtering af nye teknologier - Kim EscherichIBM Danmark
This document discusses the opportunity for growth and innovation in the Internet of Things (IoT) domain. It defines the key aspects of an instrumented, interconnected and intelligent IoT. Examples are given of IoT innovations and use cases, such as using sensor data to improve bus transportation performance and help retailers track inventory in real time. The challenges of IoT are also addressed, such as how to generate insights from the vast amounts of data.
Future of Power - Lars Mikkelgaard-JensenIBM Danmark
This document is the Global Benchmark Report 2013 authored by Lars Mikkelgaard-Jensen. It discusses topics like Europe's economic stagnation and unemployment rates. It also discusses trends in big data, mobile technology, and social media transforming businesses. The report notes that Linux is planned for the majority of big data workloads and many mission critical applications by 2017. It presents IBM Power systems as an open platform that can support new applications in areas like big data analytics, cognitive computing, and industry solutions while providing choice, flexibility and availability on-premise or through the cloud. The report encourages inspiration and exploring what is possible with Power systems and its OpenPOWER consortium.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.