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data growth

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By: IBM     Published Date: Jul 25, 2012
As it has been the trend over the last decade, organizations must continue to deal with growing data storage requirements with the same or less resources. The growing adoption of storage-as-a-service, business intelligence, and big data results in ever more Service Level Agreements that are difficult to fulfill without IT administrators spending ever longer hours in the data center. Many organizations now expect their capital expense growth for storage to be unstoppable, and see operating expense levers - such as purchasing storage systems that are easy to manage - as the only way to control data storage-related costs.
Tags : infrastructure, technology, cloud, storage, virtualization, data management
     IBM
By: IBM     Published Date: Nov 09, 2012
In this webinar, IBM explores enterprise modernization solutions for System Z. With so much data that is being generated, can your IT systems handle this explosive growth while maintaining IT costs?
Tags : business analytics, end-to-end optimization, modernization solutions, enterprise rationalization
     IBM
By: CDW     Published Date: Aug 04, 2016
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use. Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights. Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
Tags : data, technology, data analytics, business intelligence, enterprise, data analytics
     CDW
By: Teradata     Published Date: Jan 22, 2014
Trying to keep up with explosive data growth? Want to reduce your energy consumption costs? Or keep up with a constantly “on-the-go” consumer and workforce? You need Analytics in the Cloud.
Tags : cloud analytics, big data, private cloud, public cloud
     Teradata
By: NetApp     Published Date: Dec 12, 2013
IT managers have indicated their two most significant challenges associated with managing unstructured data at multiple locations were keeping pace with data growth and improving data protection. Learn how the NetApp Distributed Content Repository provides advanced data protection and system recovery capabilities that can enable multiple data centers and remote offices to maintain access to data through hardware and software faults.
Tags : netapp, lab validation, distibuted content repositor, big content scalability, enterprise reliability, intelligent object management
     NetApp
By: Box     Published Date: Feb 13, 2015
IDC's 3rd IT Platform — defined by the nascent and confluent mobile, cloud, social business and big data technologies — will drive 98 % of future IT industry growth over the next seven years. In 2013, industry transition to the 3rd Platform will move from the exploration stage to full-blown high stakes competition, resetting the leadership ranks in the IT sector forever.
Tags : idc, it platform, mobile, mobile content, 3rd platform technologies
     Box
By: Equinix     Published Date: Mar 26, 2015
The client had an extensive global multiprotocol label switching (MPLS) network with over 30 Gbps of bandwidth. However, the client was experiencing bandwidth growth of >30% compound annual growth rate (CAGR) and foresaw increasing demands for multi-media applications, data center to data center traffic, and cloud solution usage to support its business units and global workforce. It became crucial for the client to re-architect their current network to support growth and provide a globally consistent user experience at lower cost. With 40% of their WAN traffic being http internet traffic, they needed regional internet service provider (ISP) breakouts. The client needed a lower cost/MB high capacity WAN backbone for better application performance and cloud optimization. Their network needed to be scalable to poise them for anticipated growth and offer improved site connectivity options.
Tags : bandwidth growth, multi-media applications, data center, cloud solution, internet service provider, cloud optimization
     Equinix
By: Dell EMC     Published Date: Feb 08, 2016
This IDC Buyer Case Study summarizes how a $1.4 billion manufacturer of faucets and other fixtures has integrated flash storage technology into its datacenter environment to improve performance, handle rapid business growth, and improve internal productivity.
Tags : emc, xtremio, data center, flash storage, growth, productivity, performance
     Dell EMC
By: Emarsys     Published Date: Mar 19, 2018
The one thing these powerful brands have in common? Data. The growth of data has brought us to the tipping point between brand and customer. Before the digital age, the biggest and best brands had just that – a brand, which THEY controlled. Now, a brand is powerful because of the data it collects and how it uses it to serve its customers. The value of data is only going to increase as we move from a handful of brands owning first-party data to a greater democratization of information. As a result, consumers will have much more control over their personal data and more companies will be able to generate their own first-party data. Once again, it’s time to look ahead to identify the trends and technologies that are most likely to survive the hype cycle and become the must-haves of the near future. Here we take all we learned over the past year and craft our strategies for the future. We explore the five predictions we believe marketers should be excited about and prepare for over the ne
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     Emarsys
By: VMware     Published Date: Oct 08, 2010
This white paper covers the benefits of virtualization, including reduced costs, simplified management, and improved application availability and disaster protection.
Tags : wmware, server virtualization, workload consolidation, simplified management, disaster protection, spending, data backup, recovery
     VMware
By: IBM     Published Date: Feb 18, 2009
This white paper explains how the IBM® Optim™ Data Growth Solution provides proven technology and comprehensive capabilities that make archiving complex relational data both practical and desirable.
Tags : ibm integrated data management, database growth, optim data growth solution, database archiving, idm, disaster recovery, database referential integrity
     IBM
By: IBM     Published Date: Feb 18, 2009
The basic principles for managing an archiving project presented in this paper can help you initiate and plan an archiving strategy that meets your organization’s requirements.
Tags : ibm integrated data management, peoplesoft, business critical erp applications, daily operations, database archiving, data growth, archiving project, data classification
     IBM
By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
Tags : ibm integrated data management, siebel crm, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth
     IBM
By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
Tags : ibm integrated data management, oracle e-business suite, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution
     IBM
By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
Tags : ibm integrated data management, jd edwards, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution
     IBM
By: IBM     Published Date: Feb 18, 2009
Let’s face it, DBAs have a tough job.  DBAs must manage a complex set of tasks including ensuring high performance and availability, maintaining business critical production applications and managing changes. 
Tags : : ibm integrated data management, dbas, performance monitoring, data management tools, data retention, data growth
     IBM
By: Oco, Inc.     Published Date: Jun 24, 2008
As a Services Executive are you struggling with questions regarding what to measure, how to effectively engage with your customers, and what information should be leveraged and shared with service-chain partners and customers? Leading edge organizations are making tools and data available to their suppliers and customers with aggregated information from multiple data systems. Service-chain partners and customer personnel can now see the same views of service performance and activity. This is the next frontier to creating customer "stickiness" and business growth.
Tags : business analytics, oco, service management, analytical applications, dashboard, analytic, growth
     Oco, Inc.
By: Mimecast     Published Date: Apr 16, 2009
According to industry analysts, email volume in organizations is growing by more than 30% annually, and the average user receives 7MB of data per day via email. if not more. As a result of this growth, the handling of email has become a critical business, IT and regulatory issue - driving the need for email archiving solutions. Most organizations looking for an email archiving solution are motivated by four reasons: mailbox/server management, compliance/records retention, eDiscovery/litigation support, and knowledge management/IP protection. In addition to these challenges, IT departments want to know how to control costs of the email environment, while keeping important data accessible for business, legal and regulatory users.
Tags : mimecast, saas, email solutions, email managemeng, archiving, ediscovery, mailbox, compliance
     Mimecast
By: Mimecast     Published Date: Feb 05, 2010
According to industry analysts, email volume in organizations is growing by more than 30% annually, and the average user receives 7MB of data per day via email. As a result of this growth, the handling of email has become a critical business, IT and regulatory issue - driving the need for email archiving solutions. Most organizations looking for an email archiving solution are motivated by four reasons: mailbox/server management, compliance/records retention, eDiscovery/litigation support, and knowledge management/IP protection.
Tags : mimecast, saas, software as a service, email archive, medium-size business, esg, storage
     Mimecast
By: QuinStreet     Published Date: Feb 09, 2009
Between cost savings and the efficiency of a converged voice-data network, VoIP presents an attractive case for shoring up business communications expenses in a down economy.The VoIP value proposition is so strong that industry analysts are anticipating continued growth in IP telephony through 2009.
Tags : quinstreet, voip, voice-data network, business communications, recession
     QuinStreet
By: NetApp     Published Date: Mar 12, 2010
Find out how NetApp and VMware enable customers to improve disaster preparedness while saving money. Today, at Tucson Electric Power, almost 90 percent of servers are virtual, 100 percent of daily backups can now be performed within a 24-hour window, disaster preparedness is greatly improved, regulatory requirements are met, and the IT infrastructure is ready for the future. Download this report to learn more.
Tags : netapp, data management, disaster recovery, back up, storage, server virtualization
     NetApp
By: SAS     Published Date: Jun 06, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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     SAS
By: Gleanster     Published Date: Nov 10, 2011
This Gleansight benchmark report is based on the experiences of 387 companies and includes the following sections: Reasons to Implement, Challenges, Value Drivers, Core Technologies and Success Story. It also includes a Vendor Landscape with descriptions, rankings and analysis of 39 solution providers. Social intelligence is being increasingly used today to describe the next rung on the evolutionary ladder of listening to and acting upon consumer conversation on the social web. That rung maps to a number of technology innovations. Chief among them are improved capabilities around analyzing and integrating all sources of voice-of-the-customer data to generate more actionable insights. Social intelligence also speaks to an emerging corporate mindset regarding the strategic importance of social data and the need to better capitalize upon it. This Gleansight benchmark report reveals how Top Performers are achieving success when it comes to the incessant quest to extract customer insights and take actions that ultimately translate into revenue growth, cost reduction, risk reduction and relationship enhancement.
Tags : social intelligence, marketing, social media, gleanster, business intelligence, market research, usability, social media marketing
     Gleanster
By: IBM     Published Date: Oct 09, 2015
In this white paper, IDC Energy Insights discusses the current and future challenges that utilities face in meeting their business objectives and the role analytics will play.
Tags : ibm, analytics, research, data, demand growth, utilities, energy
     IBM
By: Arcserve     Published Date: May 29, 2015
Today, data volumes are growing exponentially and organizations of every size are struggling to manage what has become a very expensive and complex problem. It causes real issues such as: • Overprovisioning their backup infrastructure to anticipate rapid future growth. • Legacy systems can’t cope and backups take too long or are incomplete. • Companies miss recovery point objectives and recovery time targets. • Backups overload infrastructure and network bandwidth. • Not embracing new technologies, such as cloud backup, because there is too much data to transfer over wide area networks.
Tags : backup infrastructure, legacy systems, overload infrastructure, cloud, security
     Arcserve
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