data complexity

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Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
For many years, traditional businesses have had a systematic set of processes and practices for deploying, operating and disposing of tangible assets and some forms of intangible asset. Through significant growth in our inquiry discussions with clients, and in observing increased attention from industry regulators, Gartner now sees the recognition that information is an asset becoming increasingly pervasive. At the same time, CDOs and other data and analytics leaders must take into account both internally generated datasets and exogenous sources, such as data from partners, open data and content from data brokers and analytics marketplaces, as they come to terms with the ever-increasing quantity and complexity of information assets. This task is clearly impossible if the organization lacks a clear view of what data is available, how to access it, its fitness for purpose in the contexts in which it is needed, and who is responsible for it.
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Waterline Data & Research Partners
Published By: IBM     Published Date: Jun 04, 2018
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Don’t miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
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business analytics, analytics solutions
    
IBM
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Claravine     Published Date: Jan 03, 2019
Marketers have long struggled with the simple task of knowing which marketing spend is truly effective, and how to optimize that spend. At the heart of the issue lies the challenge of ensuring the data quality and consistency exists to make decisions based on real intelligence. Why is this a problem? First, effective tracking is reliant on the consistent, complete application of campaign tracking codes and associated metadata, which has traditionally been a manual, ungoverned process. Adding to this complexity has been the dramatic expansion of digital marketing point solutions, and the disparate teams expected to execute across each of these channels and geographies. The result is what you would expect—highly inaccurate, incomplete, and inconsistent data that must be manually cleaned before reporting is possible. Fortunately a solution exists. Progressive marketing leaders are implementing Digital Experience Data Management (DXDM), ensuring the rich, consistent insights critical to ma
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Claravine
Published By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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MarkLogic
Published By: Workday     Published Date: Sep 19, 2018
The data deluge problem isn’t just about the amount of internal, operational data being stored, but also the level of granularity available. The finance and HR teams of many institutions still operate on outdated systems that are only able to store aggregate data with complex details summarized. While these systems may be sufficient for the purpose of financial reporting, they’re unable to keep up with the level of complexity needed to drive business decisions.
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Workday
Published By: Oracle     Published Date: Nov 06, 2012
The increasing amount of information that is being captured by organizations has given rise to a new megatrend called Big Data. An added complexity in this trend is the co-existence of both structured and un-structured data.
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oracle, big data, financial services institutions
    
Oracle
Published By: Oracle     Published Date: Nov 06, 2012
The increasing amount of information that is being captured by organizations has given rise to a new megatrend called Big Data. An added complexity in this trend is the co-existence of both structured and un-structured data.
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oracle, big data, financial services institutions
    
Oracle
Published By: Nasuni     Published Date: Nov 19, 2014
When world-class architecture and design firm Perkins+Will needed a high performance storage platform to support their global teams, they turned to Nasuni. With 24 locations around the world, traditional storage and data protection schemes were becoming expensive and difficult to manage. Teams in different locations wanted access to shared project data. Nasuni has allowed Perkins+Will to deploy a high performance storage platform that delivers data protection and synchronization at a fraction of the cost and complexity of any existing solution.
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storage management, data protection, data synchronization
    
Nasuni
Published By: Juniper Networks     Published Date: Aug 03, 2017
Security, network complexity and growing volumes of traffic are the top factors affecting enterprise network strategy, based on a recent IDG Research Services poll among IT leaders. Here’s what they’re planning to do about these issues
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information technology, data security, network complexity, traffic volume, network strategy
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 08, 2017
Cloud, social, big data, and the Internet of Things (IoT) are increasingly central to business decisions as the pace of digitization accelerates. The impact of software-defined networking (SDN), virtualization, and converged and hyperconverged infrastructure within the datacenter is substantial. These technologies add complexity but offer enticing opportunities for new business models, revenue streams, operating efficiencies, and agility that organizations must pursue if they want to remain competitive and viable. This pursuit requires businesses to keep up with current and emerging technologies and applications and transform the ways in which they conduct business. At the core of "keeping up" is an organization's datacenter strategy — with an associated technology and services strategy that will either create industry laggards or accelerate innovators.
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Juniper Networks
Published By: Cisco and NVIDIA Corporation     Published Date: Sep 09, 2019
Application performance and delivery have changed. Should your network change too? Cloud is changing the fundamentals of how IT teams deliver applications and manage their performance. Applications are increasingly deployed farther from users, crossing networks outside of IT’s direct control. Instead of enterprise data centers, many apps now reside in public and hybrid cloud environments. There are even new breeds of applications, built upon microservices and containers. Today, IT needs modern solutions that: ? Extend on-premises networks, apps, and infrastructure resources to the cloud. ? Maintain high levels of performance, user experience, and security across all applications, including microservices based apps. ? Sustain operational consistency across on-premises and cloud environments. ? Move away from the expense, complexity, and poor performance of traditional networking methods. These solutions are available for apps running on Google Cloud Platform (GCP) through the allia
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Cisco and NVIDIA Corporation
Published By: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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StreamSets
Published By: Riverbed Technology, Inc.     Published Date: Apr 22, 2014
Riverbed SteelFusion, as the first converged infrastructure solution purpose-built for the branch, promises to transform branch IT through the stateless “projection” of data, applications, and VMs actually stored in the datacenter. In this Taneja Group Technology Validation we found that SteelFusion truly can transform branch IT by reducing complexity, injecting powerful capabilities and making the branch resilient, protected, and recoverable.
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riverbed, branch office recovery, branch office, data loss, risk aversion, backup recovery, virtual servers, branch operations, technology challenges
    
Riverbed Technology, Inc.
Published By: IBM     Published Date: Aug 31, 2012
As those hosting transactional data on System z today already realize, it is one of the most secure, highly available and reliable platforms on the market - now see how organizations are bringing their analytics to IBM System z to better harness their data and gain greater business insights while containing cost and reducing complexity.
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IBM
Published By: HP Inc.     Published Date: Feb 14, 2019
How to overcome complexity and be ready for future growth. The modern production digital print market brought a world of opportunities for micro-runs and variable data printing into the hands of Print Service Providers (PSPs). With print available in any quantity to anyone, print is being democratized, resulting in ever-greater numbers of increasingly smaller jobs. The old print model of high-volume static print is being replaced with a myriad of micro-runs and micro-jobs. Automation that allows PSP owners to master the ensuing complexity and respond faster than ever before is enabling them to refocus on market development and on delivering value.
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HP Inc.
Published By: Dassault Systèmes     Published Date: Aug 08, 2017
Industrial Equipment Manufacturers have to connect closely with customers and introduce new products quickly and efficiently to meet their needs. While smaller Industrial Equipment Manufacturers may be able to control, access, and share product data with relatively simple Product Data Management (PDM) tools, larger Industrial Equipment Manufacturers rely on full-featured PLM systems that help automate processes and share data across global supply chains. Industrial Equipment Manufacturer companies may find themselves in-between because: • Product and organizational complexity drive them beyond basic PDM capabilities • A full-featured PLM implementation may feel out of reach They need to choose a system that quickly delivers the core capabilities they need to streamline product development but also gives them room to grow value over time. What’s the right size PLM to fit an Industrial Equipment Manufacturer? Let’s take a look.
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pdm, product data management, industrial, equipment manufacturers, plm, dassault
    
Dassault Systèmes
Published By: Kronos     Published Date: May 30, 2018
How do you know for sure that you're managing compliance with labor laws and regulations correctly and accurately? Start by completing this checklist. Responses to a recent Kronos® survey of 812 HR and payroll managers identified five key compliance readiness issues that organizations need to address to reduce risk of noncompliance. These issues were determined from questions such as: •Can I easily respond to and communicate to my organization about new regulations within 60 to 90 days? •Do I spend more time on duplicate data entry among various systems than I do on strategic initiatives? •Does my workforce management vendor provide education and tools that help my organization stay compliant? Download this piece and complete the entire checklist to see where your organization stands on compliance preparedness. You can also and find out more about the Kronos single unified platform for HR and payroll that can help you adapt to regulatory changes and reduce the data-entry complexity, co
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Kronos
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: DataCore     Published Date: Apr 23, 2019
In our developing digital economy, IT is a strategic asset. By effectively leveraging data, businesses become more operationally efficient, create more differentiated customer experiences, and develop new products and business models. However, unlocking those benefits requires a higher degree of execution by IT. Simply keeping pace with demand is no longer good enough; IT needs to help drive the business’s digital pursuits. The increased pressure on IT has amplified complexity, as well—66% of IT decision makers surveyed by ESG say IT is more complex than it was just two years ago.1 Demands being placed on IT are scaling relentlessly, and the tools IT teams use are in a constant state of evolution. Integrating and optimizing those new infrastructure technologies while managing existing investments is a perpetual burden. IT organizations, therefore, have two choices: either increase their personnel and budgets enough to survive the evolution with just traditional tools, or redirect those
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software defined storage, hyperconverged, storage consolidation, storage management, data migration, storage migration
    
DataCore
Published By: ParAccel     Published Date: Dec 16, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
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paraccel, analytic database, financial fraud analytics, fidelity information services
    
ParAccel
Published By: Riverbed     Published Date: Feb 26, 2015
Nobody can afford to lose data. But managing data, including backup and availability, in locations can present many logistical and technological challenges that bring complexity, expense, and risk. It doesn’t have to be that way, though. A new branch converged infrastructure approach allows organizations to project virtual servers and data to remote offices, providing for local access and performance while storing the data in centralized data centers. Enterprises can now do business across the globe in any location without putting data at risk.
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data center, lose data, infrastructure, data backup, infrastructure
    
Riverbed
Published By: F5 Networks Inc     Published Date: Jan 22, 2009
Getting your applications to work properly over a Wide Area Network (WAN) is a complex task, and it is not likely to get easier any time soon. Trends such as data center consolidation, the advent of Web 2.0 applications, and the move to web-based application delivery have only served to increase complexity and slow user response times. Often, the result is sluggish application response and at worst, abandoned applications and shopping carts due to slow or failed web page loads. The good news is that you can do something to improve application performance over slow or congested WAN networks. An Application Delivery Network can accelerate your applications and help make sure they’re secure, fast, and available.
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acceleration, data center consolidation, web-based application, application performance, application delivery network, accelerate, optimize, big-ip, wanjet, webaccelerator
    
F5 Networks Inc
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