organizational structure

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Published By: Workplace by Facebook     Published Date: Sep 27, 2018
As organizational structures get flatter, opportunities for meaningful global collaboration are increasing. However, without the right tools in place, those opportunities will go to waste. Workplace by Facebook asked Harvard Business Review to find out how its audience is thinking about adopting, deploying, and using social collaboration tools at work. The results from over 750 magazine and e-newsletter readers, customers and HBR.org users show that the time to act is now. Download this info-graphic to view the results from over 750 magazine and e-newsletter readers, customers and HBR.org users
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collaboration software, collaboration portal, business communication, workforce management, project management, team work
    
Workplace by Facebook
Published By: Workplace by Facebook     Published Date: Dec 21, 2018
As organizational structures get flatter, opportunities for meaningful global collaboration are increasing. However, without the right tools in place, those opportunities will go to waste. Workplace by Facebook asked Harvard Business Review to find out how its audience is thinking about adopting, deploying and using social collaboration tools at work. The results show that the time to act is now. Download this info-graphic to view the results from over 750 magazine and e-newsletter readers, customers and HBR.org users.
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Workplace by Facebook
Published By: SAS     Published Date: Jan 17, 2018
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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SAS
Published By: LogMeIn     Published Date: Mar 19, 2015
Many organizations are making fundamental changes to their organizational structures, delivery models are changing, support organizations are adding new capabilities, and mission statements are changing at breakneck speed. Our support organizations are adding new services, taking on new roles and responsibilities, engaging in different ways with their customers, and consolidating many operational functions to create a scalable delivery model that is focused on customer success and outcomes within a cost structure that meets the company’s revenue, cost, and margin goals. This report will explore some of these issues, and how support organizations can make the shift needed to meet their customers' needs.
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delivery models, customer support, support services, service offerings
    
LogMeIn
Published By: Dell EMC     Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
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Dell EMC
Published By: CA Technologies     Published Date: Nov 12, 2014
This white paper examines why unified IT monitoring is an important enabling technology for both enterprises and management service providers, including both the organizational and strategic impacts as well as the business case surrounding it. It goes further to examine CA Unified Infrastructure Management as an example of unified IT monitoring, and reviews three case studies where the solution has been deployed for active use in a unified manner.
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complete it visualization, it operations visibility, application visibility, infrastructure management, uim, enterprise applications, data management, virtualization, cloud computing, infrastructure
    
CA Technologies
Published By: Oracle     Published Date: Feb 28, 2018
There is no doubt that enterprise cloud is a new and improved IT strategy. Cloud services have proven to improve organizational agility and reduce the burden of IT infrastructure and cost. Moving to the cloud is no longer a question of “if” but “when” and “how.” Most enterprises we interviewed are moving to cloud in phases over time and matching workloads to their perceptions of a vendor’s cloud capabilities that will best support their objectives. Many will require the ability and flexibility to support multivendor cloud and multiple deployment choices (e.g., public cloud, private cloud, and hybrid cloud).
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cloud, enterprise, scale, infrastructure
    
Oracle
Published By: Pure Storage     Published Date: Oct 09, 2018
Digital technology is so intrinsic to our personal lives that we barely think about the fitness trackers and smartphones that are as much a part of us as the clothing we wear. For organizations, the shift to digital is more disruptive and the stakes far higher. Digital transformation has been high on the executive agenda for a few years and, for many, harnessing data has become a significant force for value and revenue creation. Agility has emerged as an organizational superpower as businesses grapple with change and uncertainty in their own customer bases and in the global political and economic landscape. IT has been thrust into the spotlight as the unwitting hero of the story – tasked with delivering on the digital vision, implementing all manner of applications and building firm infrastructure foundations to support the latest digital initiatives. In an increasingly on-demand world, it is this final point that often gets overlooked in the rush for the next shiny new technologies. E
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Pure Storage
Published By: SAP     Published Date: May 05, 2016
One survey, two perspectives – by Oxford Economics
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sap, ariba, procurement, oxford economics, procurement talent, organizational structure, enterprise applications
    
SAP
Published By: Red Hat     Published Date: Jun 23, 2016
The traditional technical and cultural challenges that large, hierarchical IT organizations face become more visible during times of IT transformation, such as the adoption of cloud technologies, DevOps practices, and agile methodologies. Persistent organizational culture is organic, and it can be extremely difficult for IT leaders to dictate it effectively from the top down. IT leaders can, however, use technology to encourage proper incentive structures in all levels of the organization. This paper explores the role of OpenShift by Red Hat in creating an atmosphere where creative and passionate developers can succeed frequently and quickly. Their success means decisionmakers can impact organizational culture and more rapidly achieve their goals. In this way, IT leaders can harness the efficiency and persistence of spontaneous organization, despite the inherent limitations of hierarchical systems.
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technology, productivity, red hat, best practices, database development, web development
    
Red Hat
Published By: SAP Ariba     Published Date: May 05, 2016
One survey, two perspectives – by Oxford Economics
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sap, ariba, procurement, oxford economics, procurement talent, organizational structure, enterprise applications
    
SAP Ariba
Published By: Trifacta     Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. In this recorded webinar you will learn: • Where does data preparation fit within DataOps • What are the key technical & business differentiators of data preparation solutions • How to align the righ
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Trifacta
Published By: Teradata     Published Date: Jun 12, 2013
Because subpar analytics put customer relationships at risk, Forrester is redefining the modern practice of web analytics as "digital intelligence." This new approach to analytics brings a set of expanded requirements and calls on firms to consider their technology frameworks, organizational structures, metrics, and optimization practices.
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web analytics, data driven marketing, digital intelligence
    
Teradata
Published By: Harvard Business School     Published Date: Mar 05, 2015
Capital abundance, low interest rates, and high volatility are creating new challenges and opportunities in equity markets. To succeed in this crowded and complex global landscape, you must take your investment expertise to a new level. The Private Equity and Venture Capital program at Harvard Business School explores cutting-edge industry models and related issues—from venture capital, growth equity, and buyouts to industry infrastructure, portfolio strategies, and decision-making processes.
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private equity, venture capital, investment expertise, growth equity, buyouts, negotiation, organizational structure, portfolio management, asset management, financial strategy, investment opportunities, competitive advantage, marketing, capital, technology, business issues and trends, global hr management, human resources management, legal issues, management fundamentals
    
Harvard Business School
Published By: Harvard Business School Executive Education     Published Date: Mar 09, 2015
For decades, large companies have been wary of corporate venturing. So why are more and more smart companies going VC to find their next breakthroughs? With corporate R&D units under pressure to focus on a narrow range of projects, companies often lack a good way to sniff out competitive threats beyond their main areas of expertise. A corporate venture capital fund for investing in outside startups can help a company see, understand, and respond rapidly to changes in the business landscape. But the parent company’s processes tend to bog down these funds.
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private equity, venture capital, investment expertise, growth equity, buyouts, negotiation, organizational structure, portfolio management, asset management, financial strategy, investment opportunities, competitive advantage, benefits, business issues and trends, global hr management, human resources management, legal issues, management fundamentals, technology, training and development
    
Harvard Business School Executive Education
Published By: Harvard Business School Executive Education     Published Date: Mar 09, 2015
Capital abundance, low interest rates, and high volatility are creating new challenges and opportunities in equity markets. To succeed in this crowded and complex global landscape, you must take your investment expertise to a new level. The Private Equity and Venture Capital program at Harvard Business School explores cutting-edge industry models and related issues—from venture capital, growth equity, and buyouts to industry infrastructure, portfolio strategies, and decision-making processes.
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private equity, venture capital, investment expertise, growth equity, buyouts, negotiation, organizational structure, portfolio management, asset management, financial strategy, investment opportunities, competitive advantage, business issues and trends, global hr management, human resources management, legal issues, management fundamentals, technology, training and development
    
Harvard Business School Executive Education
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
Published By: Singularity University     Published Date: Oct 20, 2017
Technologies are accelerating at an exponential rate, yet most organizational structures and processes remain stubbornly linear. Yesterday’s best practices are no longer sufficient to succeed in today's fast-paced, tech-driven, disruptive world. Instead, new mindsets and skill sets are required for leaders to envision the future and stay ahead of competitors.
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Singularity University
Published By: Saba Software     Published Date: Jun 19, 2012
With human capital accounting for nearly 70% of an organization's cost, optimizing the investment demands constant vigilance. HCI's findings confirm that organizational planning, or creating and adjusting the organizational structure to meet business goals, enables a new level of organizational agility when done with a methodical process on a regular basis. Download to find out more.
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human concepts, human resources, hr management, business strategy, hci, talent, structure, business issues and trends, global hr management, human resources management, management fundamentals, training and development
    
Saba Software
Published By: Riverbed     Published Date: Nov 02, 2016
"As companies undergo digital transformation, many IT organizations are embracing DevOps to better align with evolving business requirements, foster rapid innovation, and deliver high-performing services. But what IT leaders are failing to grasp is that this cultural shift also requires modifications to the underlying application performance management (APM) technologies and processes that have historically been used to manage IT service delivery. Read this analyst paper to explore: Key challenges IT organizations face as they roll out DevOps practices Additional APM tools and capabilities needed to support DevOps Recommendations for forming the right organizational structure and processes"
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Riverbed
Published By: Cornerstone OnDemand     Published Date: Dec 12, 2014
The new way of work is multigenerational, multi-geographical, multi-cultural, and location-agnostic and device-independent. Workteam and organizational structures have morphed into more matrixed (vs. hierarchical) arrangements. Find out the different expectations of how, where and what people use to get their jobs done through this whitepaper.
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cornerstone ondemand, millennials, work management, multicultural, work place, gen x, expectations, business management, careers, jobs, best practices, productivity
    
Cornerstone OnDemand
Published By: VMware     Published Date: Nov 07, 2016
In today’s digital economy, the ability to bring new software applications and updates to market quickly is a key to competitive advantage. For companies in diverse industries, the goal is the same: Get high-quality software into production as fast as possible. In this quest to accelerate release cycles, organizations must get beyond historical barriers that impede the rapid delivery of the software that keeps an enterprise competitive. In too many cases, processes tend to be inefficient, slow, and prone to failed releases. Much of the blame for the problem can be laid at the feet of organizational structures that mandate conflicting goals for the two key departments at either end of the application development chain: development/testing (dev/test) and operations. Where dev/test teams want to push their applications and updates into production quickly, operations teams want to go more slowly in order to maintain control and keep applications and systems available.
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VMware
Published By: Trillium Software     Published Date: Jun 29, 2011
This white paper highlights how BT's experience of IQIP can help to inform the challenge of organizing for enterprise wide DQ, lists the key organizational structures, outlines the roles of the potential main protagonists and summarizes the main lessons learned.
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trillium software, data quality, mdm, master data management, british telecommunications, entreprise wide dq improvement program, data governance, nigel turner, governance, collaboration, information management, project management
    
Trillium Software
Published By: Kaspersky Lab     Published Date: Feb 18, 2014
Download the Kaspersky Lab security experts' Guide to the Threat Landscape to have access to a wealth of IT security intelligence.
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kaspersky, kaspersky lab, malware, anti-virus industry, organizational security, mobility, byod, the cloud, virtualization, it administrators, it security, monitoring intrusions, phishing, cybercriminals, system malware, infrastructure, data management, mobile malware, social networks, unpatched application
    
Kaspersky Lab
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