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Published By: IBM     Published Date: Jan 27, 2017
The bottom line is that those that have the most customer insight will win because they know what customers want. So the question is how will you get that insight? What is it that you don’t know about customers in the market(s) that you operate in? Do you have all the attributes about customers in your MDM system that could be of value to your business? Do you know about all the relationships that your customers have in your MDM system? In most cases, the answer to the above questions is no which inevitably means one thing. You need more data
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IBM
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: IBM     Published Date: Sep 28, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. This paper outlines what readers should consider when making a strategic commitment to a database platform that will act as a bridge from legacy environments to the cloud.
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bridging the cloud, database, hybrid cloud, cloud organization, strategic commitment
    
IBM
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
Published By: Oracle     Published Date: Jan 28, 2019
Traditionally, the best practice for mission-critical Oracle Database backup and recovery was to use storage-led, purpose-built backup appliances (PBBAs) such as Data Domain, integrated with RMAN, Oracle’s automated backup and recovery utility. This disk-based backup approach solved two problems: 1) It enabled faster recovery (from disk versus tape) 2) It increased recovery flexibility by storing many more backups online, enabling restoration from that data to recover production databases; and provisioning copies for test/dev. At its core, however, this approach remains a batch process that involves many dozens of complicated steps for backups and even more steps for recovery. Oracle’s Zero Data Loss Recovery Appliance (RA) customers report that total cost of ownership (TCO) and downtime costs (e.g. lost revenue due to database or application downtime) are significantly reduced due to the simplification and, where possible, the automation of the backup and recovery process.
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Oracle
Published By: IBM APAC     Published Date: Aug 25, 2017
The world of business analytics is evolving rapidly, and while there are multiple emerging trends of note, two stand out as particularly impactful. First, there is an expanding and increasingly diverse audience of users that are becoming more analytically active. From mid-level Line-of-Business staff to senior executives on mahogany row, more users in more job functions are taking an increased level of ownership in the insight that fuels their decisions and the underlying data that supports that insight.
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data integration, data security, data optimization, data virtualization, database security
    
IBM APAC
Published By: IBM APAC     Published Date: Aug 25, 2017
Machine learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciplines within the world of statistics and data science, but the barrier to entry has been high, not only in cost, but also in the need for specialized talent.
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machine learning, apache spark, additional resources, big data, ibm
    
IBM APAC
Published By: NAVEX Global     Published Date: May 06, 2016
This report outlines Data & Analysis to Help You Benchmark Your Programme Against the World’s Largest Ethics & Compliance Hotline Database—and Enhance Your Ethics & Compliance Programme Effectiveness.
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data analysis, benchmarking
    
NAVEX Global
Published By: F5 Networks Inc     Published Date: Jan 25, 2018
With digital transformation reshaping the modern enterprise, applications represent a new class of assets and an important source of differentiation. The ever-more-competitive digital economy requires that your applications be delivered with unprecedented speed, scale, and agility, which is why more and more organizations are turning to the cloud. This explosive growth of apps hosted in the cloud creates a world of opportunities—and a whole new set of challenges for organizations that must now deploy and manage a vast portfolio of applications in multi-cloud environments. Automation and orchestration systems can help streamline and standardize IT processes across traditional data centers, private clouds, and public clouds. But with rapid innovation come concerns about security and delivering a consistent experience across environments.
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application delivery, digital transformation, cloud technology, application, multi-cloud enviornment
    
F5 Networks Inc
Published By: Data Stax     Published Date: Oct 14, 2016
Financial services companies engage with customers across multiple channels and across a range of financial products. This wealth of customer information is often stored in isolated data silos. Building a 360° view of the customer can directly impact customer experience and help banks grow customer retention, upsell products and provide compelling interactions. This paper examines the challenges these institutions face when creating a 360° view of every customer interaction, what database requirements the lines of business should look into, and use cases to benefit from by leveraging DataStax Enterprise, the database platform purpose built to power cloud applications.
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datastax, netflix, mint bills, digital, personalization
    
Data Stax
Published By: HP     Published Date: Feb 02, 2015
Everyone agrees that data is the lifeblood of any business. Just think how tense you get when your laptop crashes and you realize you have not saved that critical document. Or put yourself in the shoes of your company’s sales teams when they suddenly find themselves unable to access information related to a deal in the pipeline at the end of the quarter because it is corrupted or went missing because of a database or server issue. Data protection is—and always will be—a constant concern.
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HP
Published By: Red Hat     Published Date: Sep 25, 2014
As a strategic partner in your business, you face increasing demands from your line-of-business leaders for new functionality and advanced capabilities, which you must deliver with a constrained IT budget. What could you do to meet these expectations and add value to the business if you could contain costs, increase operational efficiency, and do more with less? You need to overcome several challenges. The cost of software licensing management is rising as a result of maintaining proprietary platforms or legacy technology, making it difficult to modernize your datacenter and migrate to more cost-effective solutions. You’re likely burdened by regulatory compliance mandates, which create enforcement, reporting, and auditing expenses. And, like 67% of IT organizations, your budget is probably shrinking. Red Hat can help. Red Hat® Enterprise Linux® gives you the high-value subscription model, built-in governance processes, and simplified migration path you need to aggressively lower your
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increased demands, functionality, software licensing management, proprietary platforms, legacy technology, datacenter, it organization, it management
    
Red Hat
Published By: NetApp     Published Date: Sep 22, 2014
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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flash pool, fas storage systems, ssd, online transaction processing, cluster storage
    
NetApp
Published By: Delphix     Published Date: Jun 27, 2014
Data is increasingly critical to driving business. This IDC Whitepaper outlines how CIOs can understand what the "total cost of data" is across their entire organization and how Delphix can assist them in managing the data that drives the business forward.
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idc, report, business gains, idc, cios, total cost of data, organization, manage data
    
Delphix
Published By: Delphix     Published Date: Jun 27, 2014
Executing financial stress tests mandated by C-CAR, EMIR, MiFID and other regulations is a lengthy, complex process that eats into budgets and erodes productivity across IT and lines of business. Learn the 3 ways Delphix alleviates these growing burdens throughout the typical compliance lifecycle.
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financial stress, testing, agile data, c-car, emir, mifid, business, it management
    
Delphix
Published By: Delphix     Published Date: Mar 24, 2015
SAP customers face a constant business need to deliver customized features and functionality, putting stress on application and IT teams. This Gartner Report outlines how you can get fast, flexible, and efficient data at low cost with Delphix Data as a Service.
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Delphix
Published By: Delphix     Published Date: Mar 24, 2015
Poor data archiving can lead to non-compliance with regulations. This white paper outlines Delphix's Live Archive, which can build a condensed copy of a data source that can be accessed on demand and quickly while also bookmarking data sources to restore any application so one can comply with regulations.
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Delphix
Published By: Delphix     Published Date: May 28, 2015
Over the past several years data loss and data leaks have been a regular part of headline news. From high-profile hacks of retailers such as Target and Home Depot to inadvertent email data leaks from large multi-national banks to targeted leaks of sensitive government documents, it is becoming clear throughout the private and public sector that data security or the lack thereof is an existential threat to business operations. While there are many vendors focused on data encryption, data masking is actually the single most effective mechanism for an IT organization to dramatically reduce or even eliminate the risk of data loss.
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Delphix
Published By: HP     Published Date: Feb 11, 2015
Everyone agrees that data is the lifeblood of any business. Just think how tense you get when your laptop crashes and you realize you have not saved that critical document. Or put yourself in the shoes of your company’s sales teams when they suddenly find themselves unable to access information related to a deal in the pipeline at the end of the quarter because it is corrupted or went missing because of a database or server issue. Data protection is—and always will be—a constant concern.
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HP
Published By: MobileIron     Published Date: May 07, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
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cloud, best, practices, endpoint, security, data
    
MobileIron
Published By: MobileIron     Published Date: Aug 20, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
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cloud, practices, audit, checklist, endpoint, security
    
MobileIron
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Today, businesses pour Big Data into data lakes to help them answer the big questions: Which product to take to market? How to reduce fraud? How to retain more customers? People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast. The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
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Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. The biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation. The increasing volume, variety, and velocity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, and sharing. Download this white paper to find out how you can improve your data preparation for business analytics.
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Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. To perform data discovery and exploration, use analytics to define desired business outcomes, and derive insights to help attain those outcomes, users need good, relevant data. Executives, managers, and other professionals are reaching for self-service technologies so they can be less reliant on IT and move into advanced analytics formerly limited to data scientists and statisticians. However, the biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation.
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Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Our recent primary research project solicited feedback from respondents to determine familiarity with, and plans for use of Hadoop ecosystem components. Download this white paper to learn more.
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Waterline Data & Research Partners
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