organizational data

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Published By: SAP     Published Date: Nov 17, 2016
Culture has become one of the most important business topics of 2016. CEOs and HR leaders now recognize that culture drives people's behavior, innovation, and customer service: 82 percent of survey respondents believe that "culture is a potential competitive advantage." Knowing that leadership behavior and reward systems directly impact organizational performance, customer service, employee engagement, and retention, leading companies are using data and behavioral information to manage and influence their culture.
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sap, human resources, employee, deloitte, culture
    
SAP
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: Dell     Published Date: Nov 12, 2018
Today, IT leaders address the PC lifecycle across a continuum from control to transformation. Control is geared to optimization, while transformation focuses on the business impact of technology. Though the two approaches differ, they are not in opposition. They strive for the same goals and face similar challenges. As IT leaders provide their workforce with the tools to carry out the corporate mission, they should develop a PC lifecycle strategy that encompasses the key organizational needs of systems management, end-user productivity, business innovation and data-centric security. Read this Dell whitepaper to learn more about the findings of a recent Forrester Consulting study, “Digital Transformers Innovate, Digital Controllers Optimize”. This paper will help clarify the PC lifecycle continuum, from the basics of control to the advanced levels of transformation, so you will be better equipped to determine the needs of your organization on that spectrum.
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Dell
Published By: IBM APAC     Published Date: Sep 25, 2017
Industry convergence is collapsing the barriers between formerly distinct industries. According to “Redefining Connections: Insights from the Global C-suite Study – The CIO Perspective,” produced by the IBM Institute for Business Value, CIOs believe this is the biggest trend transforming the business arena.
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organizational security, site security, communication security, application security, database security, software licensing, installation
    
IBM APAC
Published By: Intacct Corporation     Published Date: Jan 26, 2016
Download the white paper, “Developing P&L Reports to Improve Visibility” and learn how to improve: • Insight into organizational performance through a reliable and actionable P&L statement • Visibility into operational, competitive or strategic issues • Data integrity with a single source of truth for profit and loss information
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Intacct Corporation
Published By: Workday     Published Date: Jul 19, 2017
Multi-tenancy is a key feature of Workday and enables multiple customers to share one physical instance of the Workday system in a highly secure environment. Multi-tenancy is enabled through the Workday Object Management Server (OMS). Workday OMS allows servers to host multiple customer tenants simultaneously and builds “security walls” between each of the tenants. Thanks to Workday OMS, there is no way for any worker in one tenant to access the information of another tenant. Workday delivers its software using a continuous development model. Builds are rolled out weekly that contain new features, bug fixes, or performance improvements. Twice a year, Workday takes all the features put into preview and releases them to production for all customers. Workday customers are never landlocked on an old release, and all customers can utilize new features for the products they purchased as soon as they are live.
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organizational security, site security, communication security, application security, database security, software licensing, installation
    
Workday
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: Dun & Bradstreet     Published Date: Oct 21, 2016
Companies are looking to their CFOs for strong leadership in developing corporate strategies and achieving growth. CFOs can meet these rising expectations by leveraging their knowledge of corporate data to extract valuable insights about customers, suppliers, partners and other stakeholders. Supported by analytics, CFOs can help their companies create a global, unified and clear view of their many relationships with customers and others to guide intelligent risk-taking and thoughtful investment—both necessary catalysts for growth. This capability will also enable the company, particularly its sales and marketing functions, to move faster and adapt more quickly to changing conditions. The 21st-century CFO is not only concerned with controlling costs and minimizing risk, but also with maximizing opportunities and generating growth. The right foundational technologies and organizational processes for data-driven decision making can help them achieve all of these strategic goals.
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Dun & Bradstreet
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
The lifeblood of discrete organizational inputs—customer phone numbers, invoices, marketing prospect lists, inventory calculations, employee job descriptions—once existed in disconnected silos, typically transcribed on carefully guarded pieces of paper, limited in lifespan and scope to the department or person carefully guarding it. Now, the modern organization both enjoys, and drowns in, a proliferation of business data both ripe for strategic possibilities and staggering in complexity. Few are the companies who feel they’ve totally tapped into its power to supercharge their growth efforts. Download this white paper to find out how your company can cultivate key relationships.
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Dun & Bradstreet
Published By: Workday     Published Date: Aug 07, 2018
Rethink the way you plan, budget, and forecast. This webinar, hosted by Workday and featuring Paul Hamerman of Forrester Research, provides insight into the advantages of: Uniting organizational, workforce, and financial data Collaborating with stakeholders and planning participants Guiding the business with reporting, dashboards, and scorecards Watch the webinar replay to learn best practices for planning, budgeting, and forecasting that’ll help your organization succeed.
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budget, forecast, forrester, best practices
    
Workday
Published By: Cohesity     Published Date: Apr 24, 2018
As organizational needs change and workloads become increasingly distributed, a key realization is emerging: traditional approaches to backup and recovery may no longer be sufficient for many organizations. These companies may have discovered that their existing tools are not keeping pace with other advancements in their computing environments, such as scale-out storage systems and hyperconverged systems, which seek to reduce data center complexity and help manage surging storage costs.
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Cohesity
Published By: Oracle     Published Date: Jul 31, 2017
Consolidation in the healthcare industry has reached a record pace. The volume of organizational change has generated solid templates and best practices for change management. In addition, technological advances provide opportunities for sophisticated data analytics and systems integrations. By identifying and taking advantage of these technologies, healthcare organizations can increase the odds of successful integrations that result in greater agility decrease their cost base, and improve the quality of care they provide.
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Oracle
Published By: IBM     Published Date: Jan 30, 2017
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent analytics, cognitive computing, analytics, engagement, human resources
    
IBM
Published By: IBM     Published Date: Jul 02, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years. As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical applications remain high performing, available, and secure. Another challenge relates to new requirements for accelerating the analysis of organizational data to near real time, much faster than previously possible with earlier incarnations of Business Intelligence (BI). Agile businesses are demanding faster access to the information contained within operational and business data stores to
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IBM
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q119
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: Gigya     Published Date: Jun 08, 2015
Companies recognize the importance of managing employee identities, data and permissions. But managing customer identity data requires an entirely different set of tools and technologies in order to keep up with the flood of data being generated as consumers interact across channels and devices.
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customer data management, employee identities, sso standards, organizational data silos, data privacy compliance
    
Gigya
Published By: AWS     Published Date: Jan 03, 2019
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease. Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed. Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn: • How to generate relevant, actionable insights from any data, anywhere • Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud • How to
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AWS
Published By: CDW     Published Date: Jul 11, 2013
New platforms and business-user tools are helping to defray the consequences of a less than robust economy.
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cdw, business intelligence, internal organizational performance, external data
    
CDW
Published By: HP     Published Date: Jan 20, 2015
"Improving the operational aspects of a business can span the organizational chart, from line of business teams focused on the supply chain to IT teams reporting on communication networks and their switches. The goal is to capture the data streaming in from these various processes, and put Big Data techniques to work for you."
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big data, hp haven, scalable, secure data platform, ecosystem, security
    
HP
Published By: Great Bay Software     Published Date: Jan 04, 2018
Protecting patients, their PHI and your organizational data is mission critical. With almost 15 network connected IoMT devices per bed having an accurate inventroy, minimizing cybersecurity risks, protecting patients & their PHI data is critical.
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iomt, iomt security, medical device security
    
Great Bay Software
Published By: Datalink     Published Date: Jun 01, 2012
Assembling an internal private cloud or migrating to an external one is a challenge - both technically and organizationally. Datalink has answers - and a unified solution with the Datalink V-Scape Reference Architecture.
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v-scape, vscape, datalink, architecture, infrastructure, migration, storage, networking, cloud, virtualization
    
Datalink
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