data strategies

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Published By: Silver Peak     Published Date: Dec 31, 9999
Offsite data replication is key to ensuring ongoing business operations, but it can be complex and costly, especially when performed over long distances. Join this discussion to discover how you can apply fast, cost effective and reliable remote replication that can: • Meet Recovery Point Objectives (RPO) by reducing remote replication times by up to 20X • Reduce bandwidth costs and extend replication distances • Lower storage costs while increasing storage flexibility • Leverage emerging cloud and virtualization technologies for better offsite disaster recovery Hear from the experts and users at Dell Compellent, Silver Peak and AlaskaUSA discuss essential data replication strategies and technologies.
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offsite data, remote replication, reliable, storage flexibility, cloud, virtualization, technology, offsite disaster recovery
    
Silver Peak
Published By: Canon Solutions America     Published Date: Jul 15, 2019
Colleges and universities are under cyber siege. In a recent attack, more than 2,500 student, alumni, and staff accounts were compromised at the University of Buffalo. This brief will teach you how to help prevent a data breach on your own campus.
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Canon Solutions America
Published By: Adobe     Published Date: Jul 15, 2019
With an ever-growing array of customer interactions, especially digital, businesses are rapidly looking to gain competitive advantage by using data and insights at scale to create and activate 360-degree profiles of their customers to deliver a better experience. In a rush to accelerate digital growth and improve their business strategies, many global enterprises have built soiled, redundant technology environments, resulting in inaccurate, or worse, conflicting views of their customer's brand interactions. For example, Forrester's research reveals that 90% of enterprises use multiple analytics tools.
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Adobe
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Today’s C-level executives expect data and analytics to provide them with speed and agility to deliver competitive advantage and to disrupt new markets. But, in today’s complex data environment exists a near paradox between these expectations, that companies will be able to rapidly deliver value using data and analytics--and the complexities of the data landscape, making it more difficult to find, govern, connect to and access the data needed to deliver that value. Once thing is clear: if management expectation is to be met, simplifying connectivity is a must.In this white paper, veteran analyst Mike Ferguson, Managing Director of Intelligent Business Strategies explores how simplifying data access –connectivity –aligns expectations with data realities thus decreasing time to value.
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Simba by Magnitude
Published By: NetApp APAC     Published Date: Jul 04, 2019
This IDC study provides an evaluation of 10 vendors that sell all-flash arrays (AFAs) for dense mixed enterprise workload consolidation that includes at least some mission-critical applications. "All-flash arrays are dominating primary storage spend in the enterprise, driving over 80% of that revenue in 2017," said Eric Burgener, research director, Storage. "Today's leading AFAs offer all the performance, capacity scalability, enterprise-class functionality, and datacenter integration capabilities needed to support dense mixed enterprise workload consolidation. More and more IT shops are recognizing this and committing to 'all flash for primary storage' strategies."
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NetApp APAC
Published By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
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.
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Group M_IBM Q3'19
Published By: SAS     Published Date: Jun 26, 2019
To support open government initiatives and uphold the values of transparency, participation and collaboration in the US, federal agencies today make their data open, or publicly accessible. Citizens can use this open data to assess college affordability, the economy, educational issues, environmental damage, health care, taxes, agriculture, the climate and more. Governments can use APIs to pull this open data into SAS Visual Analytics as a way to identify trends and patterns and obtain all sorts of new insights. With public health surveillance, for example, governments can monitor and evaluate indicators that point to high-risk areas so they’ll know where and how to focus efforts. Such public health surveillance can serve as an early warning system for impending emergencies, document the impact of an intervention, track progress toward public health goals, and clarify health problems to inform public health policies and strategies.
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SAS
Published By: Adobe     Published Date: Jun 26, 2019
The world of advertising has become a complex tangle of organizational silos, disconnected platforms, and scattered customer data, turning even the simplest media buy into a chaotic event. But it doesn’t have to be this way. When you unify your audience data, media inventory, and performance results you get a clear view of ad activity and investment. So you can better allocate budgets. And dramatically boost your return on ad spend. Read Behind every great ad, there are a million digital connections for valuable insights on: - How the fragmented ad landscape keeps you from connecting with customers - Strategies for integrating technology and data to reach customers everywhere - Tips for recovering from data loss — and avoiding it altogether.
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Adobe
Published By: Oracle     Published Date: Jun 04, 2019
This survey report shows that while finance departments take responsibility for ensuring there are data-management strategies in place that include securing their organisation’s data, they struggle to manage the huge volumes of data and gain valuable insights from it. This affects both their confidence in the security of the data and their ability to manage it ethically. The number one priority of finance leaders is to enforce technologies that enable insights instantly, any place, anytime, to enable better forecasting. Read report
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Oracle
Published By: Oracle     Published Date: Jun 04, 2019
Finance leaders believe data management is a burden on businesses. Yet less than half of organisations have a data management strategy in place. But data management strategies positively impact security across all lines of business. Poor data management practices inevitably lead to poor outcomes, with bad decisions based on bad data. Data must also be protected, with weak practices leading to cyber breaches. And the reputational damage to an organisation’s brand cannot be underestimated. However, when managed well, data offers a competitive advantage. In the past, data was typically informed historical reporting, with internal needs and compliance taking priority. There is a new data paradigm. Data is the new currency in the digital age.
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Oracle
Published By: Schneider Electric     Published Date: May 31, 2019
Colocation facilities are rapidly designing and building new facilities in order to capitalize on market opportunity. Getting the facility up and running is the first challenge. The second? Recruiting, training, and retaining qualified data center staff. In this webinar, co-hosted by Tony DeSpirito, VP & General Manager Data Center Operations at Schneider Electric, & Brian Gisi, Infrastructure Management & Services Manager at IBM, to access field-tested methods & strategies that can help you: 1. Overcome the worldwide shortage of experienced data center professionals 2. Understand how out-tasking data center operations can benefit you & your clients 3. Identify key characteristics of a strong data center operations partner
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data center, business growth, schneider electric
    
Schneider Electric
Published By: Alert Logic     Published Date: May 23, 2019
Organizations continue to adopt cloud computing at a rapid pace to benefit from increased efficiency, better scalability, and faster deployments. As more workloads are shifting to the cloud, cybersecurity professionals remain concerned about security of data, systems, and services in the cloud. To cope with new security challenges, security teams are forced to reassess their security posture and strategies as traditional security tools are often not suited for the challenges of dynamic, virtual and distributed cloud environments. This technology challenge is only exacerbated by the dramatic shortage of skilled cybersecurity professionals.
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Alert Logic
Published By: HERE Technologies     Published Date: May 22, 2019
For 100% operational readiness in a data-driven culture, you need an optimized location platform. Ovum’s Location Platform Index: Mapping and Navigation can help you identify what you should expect from a platform, and discover the platform that best meets your operational requirements. Founded in 1985, Ovum has one of the most experienced analyst teams in the industry and is a respected source of guidance for technology and intelligence leaders. Ovum's report assesses and ranks the major vendors in the location platform market with a focus on the mapping and navigation space. Download this free report to learn more about Why HERE topped Google to take 1st place in the ranking The relative strengths and weaknesses for each vendor- including data, enablers, and features The strategies vendors use to stay responsive towards changes in technology and trends To understand the location platform market, what constitutes a healthy location platform, and which provider offers the correct portfolio—and necessary flexibility—to achieve mission success, download your copy of this report by completing this form.
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mapping, defence, location data.
    
HERE Technologies
Published By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
Discover how to streamline your data migration journey from HPE Pointnext.  Based on real-world experience, this four-step guide helps you assess and prioritize requirements, accelerate your transition, and reduce risk and uncertainty along the way. This blueprint is based on HPE’s extensive experience helping customers successfully plan and execute largescale data migration strategies.
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Hewlett Packard Enterprise
Published By: CyberSource     Published Date: Apr 25, 2019
Download this white paper to find out how you could augment your fraud management with Decision Manager machine learning insights from more than 68 billion annually processed Visa and CyberSource transactions – matched with flexible rules-based fraud strategies. • Detect fraud more accurately with robust data and insights on ever-changing fraud patterns • Protect your bottom line by reducing fraud and chargebacks • Increase acceptance rates with the only fraud solution that uses machine learning to generate and test new rules-based strategies from your historic data …and more.
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CyberSource
Published By: CloudHealth by VMware     Published Date: Apr 15, 2019
Choosing Azure revolutionises your environment's agility, simplicity, and innovation, but have you achieved the cost savings you expected? Discover 10 ways you can reduce your spend in Azure, including: Terminate Zombie Assets Delete Aged Snapshots Rightsize Virtual Machines Rightsize SQL Databases Read 10 Best practices for Reducing Spend in Azure, to learn key strategies for optimising cloud spend and saving 10-20?% on your monthly Azure costs.
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CloudHealth by VMware
Published By: MicroStrategy     Published Date: Apr 11, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDC’s Data Age 2025 Report. How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organizations will win with embedded and augmented analytics, HyperIntelligence, collaboration, enterprise AI strategies, and more. This eBook details the transformational technologies data-driven organizations will need to leverage to get and stay ahead in 2019 and beyond, with contributions from thought leaders, including: Mike Gualtieri of Forrester Research Ray Wang and Doug Henschen of Constellation Research Mark Smith and David Menninger of Ventana Research Chandana Gopal of IDC Ronald van Loon, and more. Is your organization ready for the data-driven future? Read 10 Enterprise Analytics Trends to Watch in 2019 today to find out.
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MicroStrategy
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: Group M_IBM Q119     Published Date: Mar 08, 2019
The transformation imperative is now the imperative of the entire enterprise. The challenge to leaders of top financial services firms is to build operating models that are ready for anything. Join American Banker Editor-at-Large, Penny Crosman, and former IBM Global leader for strategy and design, Robert Schwartz, as they discuss this idea, pulling clips from a recent event for industry leaders, including: Bridget van Kalingen, IBM on redefining success with cloud, AI, quantum and blockchain Shari van Cleave, Wells Fargo on rethinking data strategies in the age of AI Bret King, Moven on rebuilding the bank from the ground up Rob Bauer, AIG on the ways to get started with transformative projects Marty Lippert, MetLife on creating space for innovation by migrating core operations off of legacy infrastructure and many more
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Group M_IBM Q119
Published By: Avi Networks     Published Date: Mar 06, 2019
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling IT teams to re-architect applications into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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Avi Networks
Published By: Dell EMC EMEA     Published Date: Feb 28, 2019
As diverse organizations seek to implement data-driven strategies, the personal computer in all its varieties remains the key workforce productivity tool. IT leaders must guide PC management across the entire PC lifecycle to enable users to work most effectively. Today, IT leaders address the PC lifecycle across a continuum from control to transformation. Control is geared to optimization, while transformation focuses on the business impact of technology. Download this white paper to learn more about Dell solutions powered by Intel®.
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Dell EMC EMEA
Published By: TIBCO Software     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them.
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them. We'll also provide a short overview of TIBCO Statistica, an easy-to-use predictive analytics software solution designed to turn big data into your bigg
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TIBCO Software
Published By: CloudHealth by VMware     Published Date: Feb 13, 2019
Choosing Azure revolutionizes your environment's agility, simplicity, and innovation, but have you achieved the cost savings you expected? Discover 10 ways you can reduce your spend in Azure, including: -Terminate Zombie Assets -Delete Aged Snapshots -Rightsize Virtual Machines -Rightsize SQL Databases Read 10 Best Practices for Reducing Spend in Azure, to learn key strategies for optimizing cloud spend and saving 10-20% on your monthly Azure costs.
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cloud management, microsoft azure, multicloud management
    
CloudHealth by VMware
Published By: Workday     Published Date: Feb 04, 2019
Read the whitepaper from Human Resource Executive® to learn how data-driven technology can help you: • Save time by cutting down on paper-pushing tasks • Renew focus on important HR strategies • Use the same HR systems as Fortune 500 companies without breaking the bank
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workday, workforce technology, digital strategy
    
Workday
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