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Published By: K2     Published Date: Jan 07, 2016
We’re experiencing a data explosion. By 2020 the data we create and copy annually will reach 44 trillion gigabytes.1 As this data disseminates into the workplace, companies add hardware and software systems to store, protect and manage it all. While data can help solve business problems, data is most helpful when it reaches those who can use it. Companies need to build Microsoft SharePoint apps that integrate with other line-of-business (LOB) systems so users can take full advantage of this data explosion. But the reality of creating apps that integrate data across organizational systems presents an intimidating challenge. To integrate multiple isolated data sources into an application that transforms data into useful information requires technical expertise, coding and ongoing maintenance. Integration also raises security and governance concerns. So it’s no surprise that only 47 percent of SharePoint users have connected their SharePoint apps with other systems.2 As a result, nearly
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microsoft sharepoint, data integration, security, sharepoint solutions
    
K2
Published By: AuditBoard     Published Date: Nov 26, 2018
Aggregating and analyzing internal organizational data, external subject matter expertise, and internal control-related data should provide the internal audit team a solid understanding of how the process works, the key risks managed by the process, and how the internal audit team should spend their time and resources to carry out the process.
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AuditBoard
Published By: IBM     Published Date: Jul 17, 2018
Ensuring your data is compliant can be a fairly straightforward task. Your IT team works their way through the checklist, and stays out of trouble with lawyers and regulatory agencies. There’s value to that. But true data protection is more than regulatory compliance. In fact, even if you’re compliant, your organization could still be at risk unless you strategically identify and protect your most valuable data. Traditionally, you’ve been presented with IT security metrics—sometimes reassuring, other times alarming. But simply reviewing IT security metrics is not meaningful in and of itself. As an executive, you don’t evaluate issues in siloes. Instead, you excel at assessing issues in the broader context of your organizational operations. In other words, technical security data and metrics lack value unless viewed through the lens of business risk. When you’re presented with IT security metrics, your question is: What does this mean for my business? And ultimately, what data should I
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 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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Group M_IBM Q418
Published By: Cisco     Published Date: Jul 11, 2016
Operational efficiency and cost savings. Datadriven business insights. Organizational agility and market differentiation. Enterprises in every industry are pursuing such gains, but they cannot be achieved with a fragmented, siloed technology infrastructure. Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact. This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are aking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
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Cisco
Published By: IBM     Published Date: Apr 03, 2017
Businesses today certainly do not suffer from a lack of data. Every day, they capture and consume massive amounts of information that they use to make strategic and tactical decisions. Yet organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take. The combination of predictive analytics and decision optimization provides organizations with the ability to turn insight into action. Predictive analytics offers insights into likely scenarios by analyzing trends, patterns and relationships in data. Decision optimization prescribes best-action recommendations given an organization’s business goals and business dynamics, taking into account any tradeoffs or consequences associated with those actions.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
    
IBM
Published By: SAS     Published Date: Aug 28, 2018
Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property. However, as Jill Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s an approach that requires one to be both holistic and pragmatic: • Holistic. All aspects of data usage and maintenance are taken into account in establishing the vision. • Pragmatic. Political challenges and cross-departmental struggles are part of the equation. So, the tactical deployment must be delivered in phases to provide quick “wins” and avert organizational fatigue from a larger, more monolithic exercise. To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
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SAS
Published By: SAS     Published Date: Jun 05, 2017
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: x1     Published Date: Aug 21, 2009
This paper describes a new user-centric approach to managing structured and unstructured organizational documents and data. Focusing on end-user features offers significant benefits to corporations, their employees, and their IT managers.
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document management, data management, user-centric, desktop search, search and retreival
    
x1
Published By: Quocirca     Published Date: Dec 02, 2008
The need to share information has never been greater as cross-organizational business processes become deeper and more complex. The movement of digital information, both within a business and across its increasingly porous boundaries to external individuals and organizations, carries more and more risk as regulations are tightened around data protection and personal privacy.
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quocirca, content security, aep networks, clearswift, symantec, trend micro, websense, smtp
    
Quocirca
Published By: ZSL Inc.     Published Date: Jul 20, 2009
One of the vital needs of business is to connect processes, people and information both within across the organizational boundaries. Microsoft Dynamics CRM 4.0, a Customer Relationship Management application, provides solution to the sales managers in accessing the lead/prospect data and promoting their business successfully.
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ms office, crm, customer relationship management, lead data, prospect, zsl, office, outlook
    
ZSL Inc.
Published By: CDW     Published Date: Nov 12, 2012
When data center technology such as servers or storage area networks are aligned with specific applications or organizational departments, the result is often inefficiency. Through data center convergence, IT resources can be managed more easily.
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data center convergence, it infrastructure, converged data center, server consolidation, virtualization
    
CDW
Published By: IBM     Published Date: Oct 10, 2013
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
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cloud, mobility, social business, big data, external threats, business risks, business continuity, financial stability
    
IBM
Published By: Dun & Bradstreet     Published Date: Feb 03, 2016
Better customer data management increases marketing ROI.” Easy to say, but not so easy to prove. This whitepaper provides everything you need to build a business case for customer data management, including: What organizational data maturity is and how it benefits the business Actual performance outcomes of data-mature organizations Data maturity’s quantifiable impact on targeting, nurturing and close
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Dun & Bradstreet
Published By: Progress     Published Date: Jan 09, 2017
Did you know? • 86% of organizations say they have 2 years to make inroads with digital transformation • 55% say they have a year or less, before they begin to suffer financially or from competitive threats • 59% are worried they may be too late To help you evaluate your organizational readiness for digital transformation, we put together a package to help you measure your current capabilities—from a technology and organizational perspective—as well as some information to help you plan ahead. The Digital Transformation Kit contains: • CMS Evaluation Guide: Learn about CMS capabilities that can enhance the customer experience • Digital Marketing Maturity Guide: Rate your usage of digital marketing technology • Data-Driven Marketing e-Book: Learn how to use the power of your data to drive growth
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Progress
Published By: Host Analytics     Published Date: Aug 01, 2017
Summary Strategic corporate performance management solutions support the office of finance's efforts to manage organizational performance and strategy. Application leaders should use this Magic Quadrant to identify vendors that are a good match for their business needs. Strategic Planning Assumptions By 2020, at least 75% of organizations will seek to improve the accuracy and actionability of financial planning and analysis by using operational data from multiple business domains. By 2020, at least 25% of organizations will achieve more collaborative, continuous and consistent financial planning and performance management by closely linking key operational and financial planning processes.
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Host Analytics
Published By: Sitecore     Published Date: Aug 08, 2019
The Global Trends in Personalization Study is a collaboration between SoDA and Sitecore to assess investment plans, adoption of emerging technology, organizational priorities and key challenges relative to delivering personalized digital consumer experiences. Data was collected in January and February of 2019 from 351 marketing leaders and C-level executives across North American, Europe and APAC
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Sitecore
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