data types

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Published By: FICO     Published Date: Jan 11, 2018
Many organizations consider optimization only for their largest or most challenging business problems, often utilizing a small number of Operations Research professionals. But in our age of Big Data, market globalization and increased competition, many organizations are successfully making the case that optimization can be applied to a wider variety of business and operational decisions, and be developed by a new group of users — the organization’s business analysts. With a proven track record of results demonstrating that organizations can increase profitability with business analysts applying optimization to many types of business problems, FICO’s proven development methodology is giving organizations the confidence to extend optimization practices across their enterprises.
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business analyst, optimization, fico, partnership, credit, collections, banking, finance
    
FICO
Published By: FICO     Published Date: Apr 07, 2018
High profile data breaches such as those at Equifax and MyFitnessPal have made everyone aware of cyber-risk. It is not only the cyber-risk that exists within your business you need to assess – do you understand the risk you inherit from the businesses you work with such as your: -Suppliers -Customers -Acquisitions and mergers For vital information about why you should assess the different types of organization you work with; and to learn how you can do this quickly and easily - Read our guide ‘Why Should You Understand the Cybersecurity Risk of the Businesses You Work with?’
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FICO
Published By: ForgeRock     Published Date: May 05, 2015
The goal of ESG Lab reports is to educate IT professionals about data center technology products for companies of all types and sizes. ESG Lab reports are not meant to replace the evaluation process that should be conducted before making purchasing decisions, but rather to provide insight into these emerging technologies. Our objective is to go over some of the more valuable feature/functions of products, show how they can be used to solve real customer problems and identify any areas needing improvement. ESG Lab's expert third-party perspective is based on our own hands-on testing as well as on interviews with customers who use these products in production environments. This ESG Lab report was sponsored by ForgeRock.
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esg, forgerock, identity platform, self-service, third-party authentication
    
ForgeRock
Published By: Gigamon     Published Date: Sep 03, 2019
Dataflow is increasing at a rate unseen in history. Network managers are tasked with enabling massive quantities of new data in a secure and highly available fashion, all while facilitating access to new types of form factors and data stores. This challenge is often met with layers of networking hardware and tools resulting in a complex mess, or even worse, a culture of network protectionism that inhibits business innovation.
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Gigamon
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
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Group M_IBM Q3'19
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Sophisticated banking requires sophisticated computing systems. But which systems offer the greatest chance for success? Many banks are discovering that the answer can be found within their on-premise data centers – the mainframe computer. Mainframes have become a modern platform for innovation. When operating in a hybrid cloud environment, mainframes provide cost flexibility, scalability, agility, sophistication and unmatched security. And they support innovation, business transformation and new types of monetization. The power of mainframe computing is being rediscovered. Specifically, in a recent 2017 survey of banking executives, we found that: • 50 percent said they believe hybrid cloud – and the systems that underpin it – can significantly lower the cost of IT ownership • 47 percent said they believe mainframe enabled hybrid cloud can improve operating margin • 47 percent said they believe dual-platform hybrid cloud can accelerate innovation. While innovation and improved p
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Sep 25, 2018
There’s no getting around it. Passed in May 2016, the European Union (EU) General Data Protection Regulation (GDPR) replaces the minimum standards of the Data Protection Directive, a 21-year-old system that allowed the 28 EU member states to set their own data privacy and security rules relating to the information of EU subjects. Under the earlier directive, the force and power of the laws varied across the continent. Not so after GDPR went into effect May 25, 2018. Under GDPR, organizations are subject to new, uniform data protection requirements—or could potentially face hefty fines. So what factors played into GDPR’s passage? • Changes in users and data. The number, types and actions of users are constantly increasing. The same is true with data. The types and amount of information organizations collect and store is skyrocketing. Critical information should be protected, but often it’s unknown where the data resides, who can access it, when they can access it or what happens once
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Group M_IBM Q418
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Modern storage arrays can’t compete on price without a range of data reduction technologies that help reduce the overall total cost of ownership of external storage. Unfortunately, there is no one single data reduction technology that fits all data types and we see savings being made with both data deduplication and compression, depending on the workload. Typically, OLTP-type data (databases) work well with compression and can achieve between 2:1 and 3:1 reduction, depending on the data itself. Deduplication works well with large volumes of repeated data like virtual machines or virtual desktops, where many instances or images are based off a similar “gold” master.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
The next wave of cloud storage innovation is upon us. It’s called multicloud. With multicloud storage you can combine cloud simplicity with enterprise-grade reliability, provide data mobility among multiple cloud types, and eliminate vendor lock-in. And it’s available right now through the Nimble Cloud Volumes service.
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cloud, storage, flash
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jun 17, 2019
"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond the remote monitoring systems of a prior generation. Three key features differentiate cloud-based predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically what types of value these systems can drive, IDC discusses them at some length in this white paper."
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Hewlett Packard Enterprise
Published By: Hortonworks     Published Date: Apr 05, 2016
Download this whitepaper to learn how Hortonworks Data Platform (HDP), built on Apache Hadoop, offers the ability to capture all structured and emerging types of data, keep it longer, and apply traditional and new analytic engines to drive business value, all in an economically feasible fashion. In particular, organizations are breathing new life into enterprise data warehouse (EDW)-centric data architectures by integrating HDP to take advantage of its capabilities and economics.
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Hortonworks
Published By: HP     Published Date: Jun 23, 2008
To stay competitive in today's business climate, organizations must find ways to meet their business needs while controlling IT costs. IT departments face flat budgets and, at the same time, find that their organizations have become increasingly dependent on uninterrupted access to business-critical data. In today's world, prudent IT administrators prepare to recover from two types of disasters as part of a complete Business Continuity and Availability (BC and A) plan.
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3 data center replication, 3dc, 4aa0-3153enw, storageworks, xp continuous access async, xp continuous access journal, xp continuous access synchronous, xp10000 disk array
    
HP
Published By: HP Data Center     Published Date: Feb 18, 2009
Today's IT executives are not only expected to create and maintain high-availability IT environments, but they are also expected to implement green initiatives to satisfy customers, analysts, and government agencies that are worried about the impact of modern, energy-thirsty data centers on the environment. Is such a dual mandate reasonable? Can companies be expected to maintain service levels and reduce their carbon footprints at the same time? The White Paper offers a description of the different types of services available to improved energy efficiency data center design and a prescription for successful implementation.
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hp data center, energy efficiency, data center, high-availability it environments, green initiatives, it infrastructure, epeat, global commerce
    
HP Data Center
Published By: HP VMware     Published Date: Mar 03, 2008
There are probably as many approaches to data protection and disaster recovery as there are types of disasters that might befall your datacenter. Figuring out which approach is best for your datacenter—from a technical, operational and financial outlook—is enough to keep a responsible manager like you up at night. Download this paper to learn about the proven, flexible solution that prepares your data to survive and recover from almost any calamity, from HP and VMware.
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vmware, disaster recovery, sim, data protection, cdp, esx server, bladesystem, data replication
    
HP VMware
Published By: IBM     Published Date: May 30, 2008
Not all data is created equal, however, and deriving business value from information dispersed over many different sources means integrating, analyzing and optimizing heterogeneous types and sources of information throughout its lifecycle. Find out how, when deployed together in the same environment, IBM TotalStorage Productivity Center, IBM System Storage SAN Volume Controller and IBM Tivoli Storage Manager deliver the core technologies need to help customers tier their storage based on classes of service.
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information lifecycle, information management, tivoli, storage management, leveraging information, ibm, ibm li, li campaign
    
IBM
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
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ibm, information management software, leveraging data, dynamic warehousing, data management, improve customer service, real-time risk analysis, analytics capabilities
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight
    
IBM
Published By: IBM     Published Date: Sep 06, 2013
In this IBM security report, we will take a look at the data we've gathered through our monitoring operations and the security intelligence generated by our analysts and incident response teams who interpret that data. Our aim is to help you gain important insights into the current threat landscape - with a close look at the volume of attacks, the industries most impacted , the most prevalent types of attacks and attackers, and the key factors enabling them.
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ibm, security services, cyber security intelligence, index, security report, security attacks, security protection, business security
    
IBM
Published By: IBM     Published Date: Dec 06, 2013
Data workloads are rapidly evolving and changing. Today's enterprises have many different types of applications, with different usage patterns, all constantly accessing data. As a result, data services need to be more robust and scalable. IBM PureApplication System and IBM PureData™ System for Transactions are designed to meet these needs. This paper shows how the latest technology and expertise built into these systems gives businesses an innovative approach to rapidly create and manage highly scalable data services, without the complexity of traditional approaches.
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ibm, ibm puredata system, ibm pureapplication system, data, data center, data management, applications, workloads
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
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ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities
    
IBM
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth
    
IBM
Published By: IBM     Published Date: Nov 19, 2014
As the use of mobile devices exponentially expands, so too does security threats to the increasing number of mobile applications that companies rely on. As a result, companies struggle to keep pace with mobile application security and face the risk of embarrassing and costly data breaches. In this technical session, you’ll learn how Worklight Application Scanning helps you deliver applications that aren’t susceptible to the most common types of malware, including SQL Injection and Cross-Site Scripting. In addition, you’ll learn how this powerful tool helps address the OWASP Top 10 Mobile Risks for 2014.
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application screening, user feedback, mobile app development, cloud-based services
    
IBM
Published By: IBM     Published Date: Apr 09, 2015
The information explosion, the proliferation of endpoint devices, growing user volumes and new computing models like cloud, social business and big data have created new vulnerabilities. Data security is a moving target—as data grows, more sophisticated threats emerge; the number of regulations increase; and changing economic times make it difficult to secure and protect data. Because data is a critical component of daily business operations, it is essential to ensure privacy and protect data no matter where it resides. Different types of information have different protection requirements; therefore, organizations must take a holistic and systematic approach to safeguarding information.
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ibm, cloud, social business, big data, data security, data protection, privacy
    
IBM
Published By: IBM     Published Date: Nov 09, 2015
IBM believes the Data Warehouse market continues to expand and adapt to address new requirements for user self-service, increased agility, requirements for new data types, lower cost solutions, adoption of open source, driving better business insight, and faster time to value.
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ibm, data, magic quadrant, data management, analytics
    
IBM
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