management challenges

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Published By: Tamr, Inc.     Published Date: Feb 08, 2019
Traditional data management practices, such as master data management (MDM), have been around for decades – as have the approaches vendors take in developing these capabilities. And they were well-equipped for the problem at hand: managing data at modest size and complexity. However, as enterprises mature and start to view their data assets as a source of competitive advantage, new methods to managing enterprise data become desirable. Enterprises now need approaches to data management that can solve critical issues around speed and scale in an increasingly complex data environment. This paper explores how data curation technology can be used to solve data mastering challenges at scale.
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Tamr, Inc.
Published By: TopQuadrant     Published Date: Mar 21, 2015
Data management is becoming more and more central to the business model of enterprises. The time when data was looked at as little more than the byproduct of automation is long gone, and today we see enterprises vigorously engaged in trying to unlock maximum value from their data, even to the extent of directly monetizing it. Yet, many of these efforts are hampered by immature data governance and management practices stemming from a legacy that did not pay much attention to data. Part of this problem is a failure to understand that there are different types of data, and each type of data has its own special characteristics, challenges and concerns. Reference data is a special type of data. It is essentially codes whose basic job is to turn other data into meaningful business information and to provide an informational context for the wider world in which the enterprise functions. This paper discusses the challenges associated with implementing a reference data management solution and the essential components of any vision for the governance and management of reference data. It covers the following topics in some detail: · What is reference data? · Why is reference data management important? · What are the challenges of reference data management? · What are some best practices for the governance and management of reference data? · What capabilities should you look for in a reference data solution?
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data management, data, reference data, reference data management, top quadrant, malcolm chisholm
    
TopQuadrant
Published By: Experian     Published Date: May 17, 2016
Every year, Experian Data Quality conducts a study to look at the global trends in data quality. This year, research findings reveal how data practitioners are leveraging and managing data to generate actionable insight, and how proper data management is becoming an organization-wide imperative. This study polled more than 1,400 people across eight countries globally from a variety of roles and departments. Respondents were chosen based on their visibility into their orgazation's customer data management practices. Read through our research report to learn: - The changes in channel usage over the last 12 months - Expected changes in big data and data management initiatives - Multi-industry benchmarks, comparisons, and challenges in data quality - And more! Our annual global benchmark report takes a close look at the data quality and data management initiatives driving today's businesses. See where you line up and where you can improve.
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Experian
Published By: Experian     Published Date: Mar 12, 2018
Data is quickly becoming the currency of the emerging digital economy. As digital transformation efforts proliferate and become commonplace, data will take center stage as a critical driver of these initiatives. Organizations that are able to mobilize their data assets to power critical business initiatives will see a distinct advantage in the years to come. In fact, a majority of C-level executives (87%) believe that data has greatly disrupted their organization’s operations over the last 12 months. As the reliance on data deepens, the need for trustworthy and reliable data assets will become increasingly important. This year’s global study highlights several important issues and opportunities throughout the data management and data quality spaces. By discussing the latest advancements and challenges within our industry, we hope to empower all organizations to better leverage their data and to thrive in the digital economy.
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Experian
Published By: Experian     Published Date: Mar 12, 2018
Data is quickly becoming the currency of the emerging digital economy. As digital transformation efforts proliferate and become commonplace, data will take center stage as a critical driver of these initiatives. Organizations that are able to mobilize their data assets to power critical business initiatives will see a distinct advantage in the years to come. In fact, a majority of C-level executives (87%) believe that data has greatly disrupted their organization’s operations over the last 12 months. As the reliance on data deepens, the need for trustworthy and reliable data assets will become increasingly important. This year’s global study highlights several important issues and opportunities throughout the data management and data quality spaces. By discussing the latest advancements and challenges within our industry, we hope to empower all organizations to better leverage their data and to thrive in the digital economy.
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Experian
Published By: Datawatch     Published Date: Apr 06, 2018
Enterprises are focusing on becoming ever more data-driven, meaning that it is simply unacceptable to allow data to go to waste. Yet, as the amount of data businesses collect and control continues to increase exponentially, many organizations are failing to derive enough business value from their data. Companies are feeling the pressure to extract maximum value from all of their data, both defensive and offensive. Defensive analytics are the “plumbing aspects” of data management that must be captured to mitigate risk and establish a basic understanding of business performance. Offensive analytics build on defensive analytics and support overarching business objectives, strategic initiatives and long-term goals using predictive models. In this whitepaper, you will learn how to address many challenges, including streamlining operational reporting, delivering insight and providing a single, unified platform for everyone.
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Datawatch
Published By: TopQuadrant     Published Date: Jul 18, 2016
With information streaming in from more varied sources and at a faster pace than ever before, organizations are having an increasingly difficult time deriving accurate meaning from their data. Data governance systems that were once able to organize and process enterprise information are becoming too slow and limited.   Semantic information management makes it easier to reconcile data from different sources by compiling and organizing information about that data, its metadata. By connecting all kinds of data and metadata in a more accessible way, semantic information systems empower users, data stewards and analysts to unlock and use the true meaning and value of their organization’s data.     Learn more about the challenges in the evolving data landscape and how a semantic approach can help.
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TopQuadrant
Published By: TopQuadrant     Published Date: Aug 01, 2016
With information streaming in from more varied sources and at a faster pace than ever before, organizations are having an increasingly difficult time deriving accurate meaning from their data. Data governance systems that were once able to organize and process enterprise information are becoming too slow and limited. Semantic information management makes it easier to reconcile data from different sources by compiling and organizing information about that data, its metadata. By connecting all kinds of data and metadata in a more accessible way, semantic information systems empower users, data stewards and analysts to unlock and use the true meaning and value of their organization’s data. Learn more about the challenges in the evolving data landscape and how a semantic approach can help.
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TopQuadrant
Published By: Experian     Published Date: Nov 03, 2015
It is critically important for businesses today to leverage data as a strategic asset, instead of allowing it to become an obstacle. As more and more organizations are trying to make smarter, data-driven decisions, they are discovering that their data management strategy may not be as mature as it needs to be. One major shift we are seeing is the implementation of a Chief Data Officer. Experian Data Quality recently conducted a research study of more than 250 Chief Information Officers (CIOs) and Chief Data Officers (CDOs) in the US about their data management practices, and the explosion of the CDO role. Key insights in the report include: - Tips for overcoming typical data challenges within your organization - The changing data management landscape and its affect on the CIO - The new and growing need for the CDO - And more!
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Experian
Published By: First San Francisco Partners     Published Date: Jan 23, 2013
Master data management (MDM) is about people and process; it is not about technology. Implementing MDM technology alone will not address operational and business process challenges.
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white paper, data, data management, master data management, first san francisco partners, dataversity
    
First San Francisco Partners
Published By: First San Francisco Partners     Published Date: May 19, 2014
Master data management (MDM) is about people and process; it is not about technology. Implementing MDM technology alone will not address operational and business process challenges. Rather, “mastering” data involves people taking action through established data policies and processes. Data Governance ensures that data in the MDM hub is of high quality and can be trusted by business users. Lacking Data Governance, organizations do not have consistent data definitions or know what constitutes a data problem, who is accountable, what decisions need to be made, or how to escalate and resolve issues.
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white paper, master data management, first san francisco partners, kelle o'neal, dataversity, data governance, mdm, master data management white paper, data governance white paper
    
First San Francisco Partners
Published By: HERE Technologies     Published Date: Feb 13, 2019
Discover the four big trends in fleet management being powered by location services. Trends to help you differentiate your solutions and enable transportation companies to overcome their logistical challenges and increase asset utilization. Discover what’s making the biggest impact, together with how, by integrating some of these trends into your solutions, you can position yourself as the service provider of choice in fleet and transportation management solutions. And find out how HERE is delivering features, from comprehensive mapping capabilities and real-time location data, to truck-specific attributes, to help you do just that. Download the eBook now
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location data, transport & logistics, location services
    
HERE Technologies
Published By: Black Duck Software     Published Date: May 18, 2010
In this webinar Black Duck Software (www.blackducksoftware.com), together with representatives of SAP, will review the benefits open source offers to development organizations, the management challenges it presents, and approaches for addressing those challenges.
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black duck software, open source, platform, sap, multi-source, code, source
    
Black Duck Software
Published By: Kaseya     Published Date: Mar 01, 2019
The increasing number of endpoints and the growing complexity of IT landscape brings in the need of having a unified method of managing IT. Unified Endpoint Management (UEM) gives organizations a simple, flexible way to manage and secure endpoints from an all-in-one single platform. With capabilities such as centralized discovery and management, automation and remote control, UEM equips enterprises to address complex problems encountered by IT in the current landscape. Download this ebook to learn how to enable your IT teams to eliminate roadblocks and increase productivity and move forward on their way to the digital transformation of the enterprise. Few salient points: -The challenges faced by modern IT teams -How Unified Endpoint Management helps address these challenges -Benefits of Unified Endpoint Management in the enterprise -Kaseya’s approach to UEM
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Kaseya
Published By: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: Commvault     Published Date: Jul 06, 2016
It’s no secret that today’s unprecedented data growth, data center consolidation and server virtualization are wreaking havoc with conventional approaches to backup and recovery. Here are five strategies for modern data protection that will not only help solve your current data management challenges but also ensure that you’re poised to meet future demands.
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commvault, data growth, datacenter consolidation, server virtualization, backup, recovery, data management, scalability, it management, business technology
    
Commvault
Published By: HERE Technologies     Published Date: Dec 05, 2018
Discover the four big trends in fleet management being powered by location services. Trends to help you differentiate your solutions and enable transportation companies to overcome their logistical challenges and increase asset utilization. Discover what’s making the biggest impact, together with how, by integrating some of these trends into your solutions, you can position yourself as the service provider of choice in fleet and transportation management solutions. And find out how HERE is delivering features, from comprehensive mapping capabilities and real-time location data, to truck-specific attributes, to help you do just that. Download the eBook now
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location data, transport & logistics, location services
    
HERE Technologies
Published By: VMware AirWatch     Published Date: Jul 19, 2017
There’s no denying that today’s workforce is “mobile.” Inspired by the ease and simplicity of their own personal devices, today’s workforce relies on a variety of tools to accomplish their business tasks — desktops, smart phones, tablets, laptops or other connected devices — each with varying operating systems.  The specific tasks they need to accomplish? That depends on the person. But it’s safe to say remotely logging in and out of legacy, desktop, mobile, software as-a-service (SaaS) and cloud applications is a given. And the devices on which they work? They could be owned by the enterprise or the end user, with varying levels of company oversight, security and management. The result? An overabundance of “flexibility” that leads to fundamental IT challenges of security and manageability.
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VMware AirWatch
Published By: OpenText     Published Date: Mar 13, 2017
Take a look at this infographic to learn how Enterprise Information Management solutions can help you make better decisions faster, gain competitive advantage, speed time-to-value, and empower your organization.
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eim, infographic, analytics, data management
    
OpenText
Published By: Symantec     Published Date: Aug 15, 2017
Stay ahead of the evolving threats. Organized crime is driving the rapid growth and sophisticated evolution of advanced threats that put entire website ecosystems at risk, and no organization is safe. The stealthy nature of these threats gives cybercriminals the time to go deeper into website environments, very often with severe consequences. The longer the time before detection and resolution, the more damage is inflicted. The risk and size of fines, lawsuits, reparation costs, damaged reputation, loss of operations, loss of sales, and loss of customers pile up higher and higher. The complexity of website security management and lack of visibility across website ecosystems is further impacted by the fact that it is nearly impossible to know how and where to allocate resources. Website security must be evolved in line with these growing threats and challenges.
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Symantec
Published By: Adobe     Published Date: Mar 26, 2018
Discover how data management platforms can enable marketers to tackle growing data challenges, create powerful customer insights, and set up marketing campaigns that will increase revenues and significantly decrease wasted effort.
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Adobe
Published By: Adobe     Published Date: Apr 17, 2018
Discover how data management platforms can enable marketers to tackle growing data challenges, create powerful customer insights, and set up marketing campaigns that will increase revenues and significantly decrease wasted effort.
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Adobe
Published By: Riverbed     Published Date: Jan 25, 2018
"Visibility into the live mix of network and application activity being hosted and delivered by the IT infrastructure has always is a 'must-have' for many aspects of IT planning and operations. But the greatest value and impact is achieved when those two viewpoints are blended together into one unified view. This paper reviews the primary challenges that IT teams face in establishing unified visibility, the key requirements that management solutions must meet to address those challenges, and examines a Riverbed solution that has been specifically designed to offer a path to success."
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Riverbed
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
If your organization is one of the 95% of enterprises that operate in the cloud, you are already grappling with cloud security. And if your organization is one of the 85% of companies that use multiple Infrastructureas-a-Service (IaaS) and Software-as-a-Service (SaaS) clouds, you have additional issues to consider. Compared to the days when organizations managed everything on-premises or only had a handful of cloud deployments, this new multi-cloud world exacerbates the expansion of the attack surface and makes threat containment and accountability more difficult. Further, pressure on security teams to protect everything in the multi-cloud environment is leading to reactive and expensive threat management. If you are a security leader tasked with meeting the challenges of a multi-cloud environment, eventually you’ll find that siloed cloud security strategies fall short of the mark. But don’t wait. Now is the time to consider a holistic security approach that reclaims control from dispa
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Fortinet EMEA
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