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project risk management

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Published By: HP - Enterprise     Published Date: Jun 05, 2013
Traditional project management techniques are not working as well as expected. According to research, an average organization has at least $74 million USD (yearly) in at-risk projects. And, even when projects are executed successfully, all too often they still fail to deliver business benefits. So, how do you get started? How do you prioritize which issues to address first? What are the risks and potential rewards? What can you do yourself and where can you need help? This paper helps you answer those questions. It provides important insights into the root causes of project failures and misalignment with business unit expectations, along with possible solutions. It illustrates the path to optimized project and portfolio management from four different starting points, and provides step-by-step advice to help you reach new milestones quickly. It is intended to help you make the transition from managing IT projects to managing business outcomes.
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it project, portfolio management
    
HP - Enterprise
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: Zingbox     Published Date: Oct 31, 2017
The arrival of the Internet of Things (IoT) moves on with ever-intensifying pace as enterprises experiment with business projects that incorporate IoT endpoints and technologies. This engagement is necessitating a profound commitment by security and risk management leaders to more capable forms of protection. Several vendors are offering distinct approaches to enterprise mobility management, software composition analysis and asset discovery. This Gartner review of the notable vendors serving IoT engagements looks closely at how these companies developed representative cool technologies and solutions to support the expansion of IoT interconnectivity.
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Zingbox
Published By: Procore     Published Date: May 28, 2019
The successful construction companies of tomorrow will be those that have critically reviewed how they manage their business and how they run their projects, making changes to their systems and processes to become more efficient at delivering client value. Download this eBook to learn exactly how construction technology can help your business remain competitive by: ? Increasing efficiency and productivity ? Reducing delays and costs ? Enabling better communication and collaboration ? Improving customer satisfaction ? Engaging an ever-evolving, tech savvy workforce Procore is a construction management platform that improves efficiency and reduces risk by giving contractors complete control and visibility of their business. Project Management, Quality & Safety, Construction Financials, and Field Productivity tools give office and site-based users access to the information and functionality they need, on any mobile device. As a platform, Procore’s ability to integrate with other leading
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Procore
Published By: Procore     Published Date: May 28, 2019
Looking for Construction Project Management Software? Ensure you don’t make an expensive mistake. Downloading this eBook will help you build a framework for evaluating and choosing the construction management software solution to fit your business. What you’ll learn: ? How to identify and define your needs ? The functionality you should assess ? Specific features to look for ? How to evaluate a software vendor Procore is a construction management platform that improves efficiency and reduces risk by giving contractors complete control and visibility of their projects. Project Management, Quality & Safety, Construction Financials, and Field Productivity tools give office and site-based users access to the information and functionality they need, on any mobile device. As a platform, Procore’s ability to integrate with other leading applications streamlines process and insights across all aspects of a contractor’s projects and business.
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Procore
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
There is a significant gap between how manufacturing companies value specific aspects of their project execution and how they judge their performance. Better education in project management methodologies and standalone software tools alone will limit a company’s ability to perform at its highest level. A study by Engineering.com found that a web-based Product Lifecycle Management (PLM) solution is the best way for a company to fully achieve its best practices. This white paper shares how a PLM solution with embedded project management can uniquely provide: • Full alignment between projects and the product portfolio • Coordination of a project’s schedule, resources and scope • Automatic real-time status updates of project tasks • Mitigation of project risks based upon real-time assessment of product development Benefit from the unique value provided by PLM systems with embedded project management.
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manufacturing, project execution, product management education, software tools, web based, product lifecycle management, product portfolio, project schedule
    
Dassault Systèmes
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: TIBCO     Published Date: May 15, 2013
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data. Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data. Continue on to gain insight into: •3 key big data management activities you need to consider •Technologies you need to create for your big data ecosystem •A multi-dimensional view of the customer is the holy grail of individualization •Overcoming key integration challenges And more!
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big data, integration, architecture, database, data warehousing, operations management
    
TIBCO
Published By: KeyedIn Solutions     Published Date: May 29, 2012
No project worth undertaking ever comes totally risk free. In this white paper you will find helpful guidance to learn how to recognize when your project is in danger of failing and the key steps to turning around a project successfully.
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project risk keyedin, spreadsheets, data, decisions, system, learning, planning, security
    
KeyedIn Solutions
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, ibm, big data outcomes, information governance, big data analytics
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : 
ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm
    
IBM
Published By: Citrix Online     Published Date: Apr 06, 2009
Today, stakeholders and projects pepper the globe. Successfully navigating the project lifecycle - from risk management and estimating to managing scope and facilitating knowledge transfer - now requires a different recipe.
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citrix, project management, project lifecycle, risk management, managing scope, risk, collaboration, projects
    
Citrix Online
Published By: AtTask     Published Date: Feb 11, 2012
To protect their investment in a project, an organization needs to engage in a three step process to put a reasonable and viable risk management plan in place. This free guide walks you through the process.
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project risk management, risk management tools, it project risk management, enterprise risk management, risk management plan, business risk management
    
AtTask
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