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Results 276 - 300 of 974Sort Results By: Published Date | Title | Company Name
Published By: U.S. Cellular     Published Date: Aug 23, 2016
Primary internet connections fail for a variety of reasons: severe weather, downed poles and lines or simply heavier than usual network congestion. Business continuity solutions provide businesses with back-up internet access via a cellular network when primary Wide Area Network (WAN) connections fail or are over-loaded. These solutions enable businesses to: Maintain seamless, uninterrupted access to the internet Process credit card transactions Access to important information stored online This paper will provide an overview of business continuity solutions, examples of in-use scenarios and a path to adoption in an easy to understand and digestible way. Download now.
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U.S. Cellular
Published By: IBM     Published Date: Aug 16, 2016
In this executive report, based on cumulative research over the past five years by the IBM Institute for Business Value we will explore how the emergence of digital technology, and the increasing willingness of consumers to use it, has disrupted the retail industry at virtually every level – from shoppers, to megastores, to digital to social media, and more. Further, we will provide recommendations that can enable retailers to position themselves to slice through this disruption and provide seamless, omnichannel customer experiences and conversations that can help build customer loyalty, create value and positively impact the bottom line.
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ibm, commerce, retail, customer analytics, ibm institute for business value, digital technology, enterprise applications
    
IBM
Published By: IBM     Published Date: Nov 30, 2016
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
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ibm, cloud, cloudant managed service, cloudant local, apache couchdb, enterprise applications, cloud computing
    
IBM
Published By: Veritas     Published Date: May 12, 2016
This inforgraphic highlights that a ‘store everything’ hoarding culture is forming ‘databergs’: where masses of unstructured, irrelevant, unseen or unclassified data is growing daily with no notion of slowing down. They conceal a threat ‘below the waterline’ that adds significant levels of risk and cost to organisations. And this risk is rising.
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Veritas
Published By: Veritas     Published Date: May 12, 2016
The Data Genomics Index is a first-of-its-kind benchmark analysis of data stored within a typical enterprise environment. This report reveals insights into data growth, data age, and data type thereby providing organizations with the comparison standard for beginning to take action on their data. In addition to the Index, Veritas has founded the Data Genomics Project. This community of likeminded data scientists, industry experts and thought leaders will come together to surface the true nature of enterprise environments, build the data-genome that matters for information management, and share the discussion with a world struggling to solve tremendous data growth challenges.
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Veritas
Published By: Veritas     Published Date: May 12, 2016
Nearly 70% of all stored data contains no legal, regulatory, or business value. Intelligence about your information’s age, location, and ownership provides the roadmap to effective decision-making.
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Veritas
Published By: IBM     Published Date: Jan 18, 2017
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
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ibm, cloud, analytics, cloudant managed service, cloudant local, apache couchdb, databases, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, analytics, ecm, data, big data, information governance, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 20, 2017
Government agencies are taking advantage of new capabilities like mobile and cloud to deliver better services to its citizens. Many agencies are going paperless, streamlining how they interact with citizens and providing services more efficiently and faster. This short video will show real examples of how government agencies are applying new capabilities like cognitive and analytics to improve how they ingest, manage, store and interact with content.
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ibm, ecm, analytics, smarter content, ecm for government, enterprise applications
    
IBM
Published By: IBM     Published Date: Feb 16, 2017
This video explains the integrations from IBM StoredIQ and Box that enables data cleanup and discovery. Learn how StoredIQ fits into the solution platform from IBM to help manage and mitigate risk with the use of Box's cloud solution.
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ibm, analytics, ecm, ibm storediq, ibm box
    
IBM
Published By: IBM     Published Date: Feb 16, 2017
Watch this video to learn how IBM Datacap and Box enable better customer centricity through the capture of data across mobile devices, scanners, email, fax and files. This solution works with Box to store documents in the cloud.
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ibm, ecm, analytics, ibm datacap, ibm box, enterprise applications
    
IBM
Published By: HotSchedules     Published Date: Jan 26, 2018
Restaurants are complex businesses with a simple aim: great guest experiences that keep customers coming back for more. In order to achieve this goal, stores must deliver on the promise of a great product and exceptional service. There are a lot of ways to make the equation work and each brand has its own unique mix of ingredients that bring the whole operation together to create a recipe for profitability. There are also elements of a successful restaurant that are consistent across any operation. Restaurant executives have long been on the hunt for this elusive lever (or combination of levers) that systematically drive performance regardless of conditions.
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cio, office, innovation, restaurant, data, software, workflow, hotschedules
    
HotSchedules
Published By: HotSchedules     Published Date: Jan 17, 2019
The cost of labor can be managed effectively when restaurateurs are equipped with the right training, tools and processes. Traditional methods for capturing critical forecasting data and formulating labor plans & budgets are incomplete and often inaccurate, rarely accounting for menu pricing changes or current economic conditions. Even when the best practices of forecasting are employed, the information isn’t always available to the store managers who are attempting to manage the cost of labor. This ebook will walk you through the ins and outs of labor forecasting and best practices to build efficiency, grow revenue, and positively impact your restaurant’s bottom line.
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HotSchedules
Published By: Datastax     Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
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cloud, data model, multi-model
    
Datastax
Published By: Datastax     Published Date: Aug 27, 2018
"Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models"
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Datastax
Published By: Datastax     Published Date: Apr 08, 2019
For decades, organizations relied on traditional relational database management systems (RDBMS) to organize, store, and analyze their data. But then Facebook came along, and an RDBMS was suddenly not quite enough. The social giant needed a powerful database solution for its Inbox Search feature, and Apache Cassandra—a distributed NoSQL database—was born. Released as an open source project in July 2008, Cassandra—named after the mythological prophet who famously put a curse on an oracle—became an Apache Incubator project in March 2009. It graduated to a top-level project in February 2010
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Datastax
Published By: Druva     Published Date: Sep 27, 2017
Managing the backup and restore of virtual machines in a distributed environment is typically a convoluted process. Learn how a cloud-native platform for these data protection workloads enables organizations to reduce the demands on IT teams as well as their budgets.
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vmware, data protection, cloud protection, native platforms
    
Druva
Published By: Druva     Published Date: Oct 02, 2017
To best address HIPAA compliance, maintain productivity, and mitigate risk in the mobile age, HIPAA-regulated enterprises need to ensure high standards of data security and privacy on all endpoint devices that contain or have access to protected health information (PHI). Get this white paper to learn: What HIPAA means for data on endpoint devices Features you should look for when evaluating endpoint backup solutions How to maintain HIPAA compliance whether data is stored on-premise or in the cloud What other organizations are doing to comply with HIPAA/HITECH
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hipaa, hipaa compliance, risk mitigation, data security, endpoint devices, protected health information
    
Druva
Published By: IBM     Published Date: Jul 02, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years. As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical applications remain high performing, available, and secure. Another challenge relates to new requirements for accelerating the analysis of organizational data to near real time, much faster than previously possible with earlier incarnations of Business Intelligence (BI). Agile businesses are demanding faster access to the information contained within operational and business data stores to
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IBM
Published By: IBM     Published Date: Jul 05, 2018
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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IBM
Published By: Group M_IBM Q418     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Oct 23, 2018
The EU General Data Protection Regulation (GDPR) has arrived. Every company doing business with European customers — regardless of location — must make considerable governance, people, process, and technology changes to comply with the new rules. While companies have made progress, more work remains. To succeed, they must tackle key challenges, including data identification, mapping, and access management. Despite the work ahead, forward-looking businesses understand GDPR is an opportunity. This is a transformation for a data-savvy world, with the potential to yield enhanced customer and business benefits. Investment in solutions with data privacy, security, and compliance offerings that can protect data no matter where it’s stored — on-premises and in the cloud — can ease companies along their readiness journeys and help them achieve and sustain compliance from May 25, 2018, and onward
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Group M_IBM Q418
Published By: Empyr     Published Date: Jan 11, 2018
Read a case study on Empyr’s CPR platform: • Reach 175+ consumers • 100% attribution from an online consumer to an in-store sale • No upfront cost or minimum ad spend “The Empyr CPR campaign has been one of our best performing digital marketing campaigns because of the one-hundred percent attribution of the digital marketing spend to in-store sales. We finally are buying revenue and not ads. One of the biggest challenges for advertisers today is the gap between online advertising spend and in-store sales. Empyr has truly solved this challenge with their card-linked offers platform.”
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Empyr
Published By: Resonate     Published Date: May 30, 2018
The seismic shift in consumer behavior has created the slow demise of many long-established, iconic brands. The woes of brick and mortar retail have become a daily news item, with store closures and financial downturns dominating the headlines. Though low cash and heavy debt play a significant role, many point to online retail as the culprit for this decline. Retail margins on average fell to 9% last year from 10.5% in 2012 and over that period ecommerce sales increased to 15.5% of total sales according to the Wall Street Journal. For most companies, this meant shifting towards online sales.
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Resonate
Published By: Cohesity     Published Date: Nov 20, 2018
Today, hybrid cloud is increasingly the norm, and enterprises are challenged with ways to have visibility, manage and make use of all this data – both on-premises and in the cloud. While much attention has been given to primary data affecting mission-critical workloads, data for secondary workloads – backup, test/dev, disaster recovery, and archiving to name a few – have become siloed the same way application data has, leading to multiple point solutions to manage an increasing amount of data. This white paper looks at the evolution of these challenges and offers practical advice on ways to store, manage and move secondary data in hybrid cloud architectures while extracting the hidden value it can provide. Download to learn more.
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Cohesity
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