data strategy

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Published By: Riverbed     Published Date: Apr 27, 2011
One of the greatest challenges today is effectively backing up and protecting the vast amounts of data stored throughout an organization. With WAN optimization, you can accelerate network-based backup by 5x and can reduce bandwidth use by up to 95%. Download this paper and learn more about this strategy today.
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riverbed, storage intelligence, wan optimization, backup, replication, disaster recovery, steelhead appliance, dr strategy
    
Riverbed
Published By: Riverbed     Published Date: Jul 17, 2013
Your business is complex. Big data promises to manage this to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, causing delays and downtime. Forrester predicts this will worsen. To combat this onslaught, you need machines to analyze conditions to invoke automated actions. To perform adaptive automation, you need IT analytics, a disruption to your monitoring and management strategy. This report helps leaders prepare for IT analytics that turn big data efforts inward to manage the technology services that run your business. Register to get the full report.
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analytics, big data, forrester
    
Riverbed
Published By: Riverbed     Published Date: Jul 15, 2014
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your existing monitoring and management strategy.
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big data analysis, it analytics, manage, complex, automation, monitoring, management strategy, networking, it management
    
Riverbed
Published By: Riverbed     Published Date: Sep 05, 2014
This white paper details the current challenges organizations face with respect to their evolving IT requirements, growing storage needs, and more extensive data protection requirements. It focuses on an expanding set of cloud-based storage offerings and the buying considerations of those who want to improve the data management metrics associated with data protection services such as backup and recovery. The paper also takes a closer look at the solutions offered by Riverbed Technology that allow organizations to integrate cloud-based storage withing solutions that address a growing set of data protection demands.
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cloud, enterprise storage, data protection, it requirements, metrics, security, data management
    
Riverbed
Published By: Rubrik EMEA     Published Date: Apr 15, 2019
Ransomware is not going away. This makes it imperative for businesses across all industries to adopt a data management strategy of multi-layered security, easy automation, and quick recovery. To learn more about Rubrik and how it can ?t into your ransomware protection strategy while simplifying data protection across your entire datacenter, visit www.rubrik.com. As the leading next-generation data protection solution, Rubrik deploys as a plug-and-play appliance in less than an hour and has been adopted across all verticals and organization sizes including Fortune 50 companies.
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data, backup, recovery, backups, solution, security, encryption, cyber, privacy, infrastructure
    
Rubrik EMEA
Published By: SafeNet     Published Date: Jun 03, 2013
To learn more about the current state of the data braech epidemic and how to implement a strategy to prevent it, read SafeNet's Secure Breach Manifesto.
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data breach, it security, data security, data protection
    
SafeNet
Published By: SafeNet     Published Date: Jun 04, 2013
To learn more about the current state of the data breach epidemic and how to implement a strategy to prevent it, read SafeNet's Secure Breach Manifesto.
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data breach, data security, it security
    
SafeNet
Published By: Sailthru     Published Date: Jul 01, 2015
The ability to know the next action of an individual customer is gold, quite literally, as this knowledge translates directly into revenue. True predictive intelligence has arrived, and it’s one of the most incredibly exciting advancements in modern marketing. With good reason given that for many brands as much as 95% of future revenue comes from a mere 5% of customers! But with any major advancement, messaging landmines threaten a marketer’s ability to identify the technologies that can actually deliver on the predictive promise.
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ecommerce, publishing, data science, predictive marketing, customer experience, personalization, marketing, strategy, technology
    
Sailthru
Published By: SAP     Published Date: Dec 14, 2010
While your competitors sit back, download this free paper to learn how to cut costs, boost profits, build loyalty, and solve a myriad of day-to-day business challenges.
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sap, data strategy, competitive data, reduce costs, increase profits, employee improvement, business performance
    
SAP
Published By: SAP     Published Date: Mar 10, 2009
Learn about the importance of having a data quality strategy and setting the overall goals. The six factors of data are also explained in detail and how to tie it together for implementation.
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sap, data quality, strategy, project management, erp
    
SAP
Published By: SAP     Published Date: Mar 24, 2011
The list of initiatives that are data-enabled-indeed, data-intensive-vary from company to company, from industry to industry. But the common denominator is an increasing awareness that these and other programs can't succeed without clean, meaningful, and available information. In this white paper, Baseline Consulting's Jill Dyché discusses how the data conversation is changing from philosophical questioning to hard-core tactics, from "What do we need?" to "Where do we start?" It covers the most common reasons for data governance failure, as well as the components of data governance that will inform the right strategy and give companies a means of determining where and how to begin their data governance journeys.
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data governance, data governance failure, data governance initiative
    
SAP
Published By: SAP     Published Date: Jun 30, 2011
This white paper explores why today's executives still lack the relevant information or data quality to make decisions in a timely manner. Inside, learn about the biggest decisions-making challenges facings modern businesses and three keys to achieving better data-driven decisions.
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sap, smbs, high-quality data, erp software solution, decision management, data visibility, data quality, corporate strategy, business activities, resource allocation, compliance, metrics, tec
    
SAP
Published By: SAP     Published Date: May 22, 2012
Business intelligence technology must meet the demands of tomorrow's "digital natives"; integrate seamlessly with cloud data and platforms; align people, conversations, and data with business strategy; and make the most of the infrastructures we have today.
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sap, business intelligence, business analytics, technology, business technology
    
SAP
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAS     Published Date: Mar 14, 2014
Master data management is not just something you install and fill with data. By transitioning from a consolidation approach to a data utilization approach, you will see how the disciplines and capabilities of master data management contribute to a long term information strategy that uses best practices to enable comprehensive information visibility.
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sas, data management, consolidation approach, data utilization, information strategy, comprehensive information visibility, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
There is a continuing disconnect between lT and lines of business with regard to analytics. While IT sees itself contributing to and guiding analytics strategy, LOB is more likely to see it as a roadblock. But the nature of analytics is changing, presenting a new, unique role for the CIO.
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sas, cio, idc, lob, it organization, analytic's value, data integrator, disconnect, analytic strategy, data management, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
In this study, we identified many ways that IT is perceived to be a roadblock to a successful analytics strategy and a number of disconnects between how IT and lines of business view IT’s role.
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sas, data strategy, idc, productive collaboration, analytic's strategy, counterparts, support, data management, data center
    
SAS
Published By: SAS     Published Date: Apr 16, 2015
The framework presented here is a way to avoid data dysfunction via a coordinated and well-planned governance initiative. These initiatives require two elements related to the creation and management of data: • The business inputs to data strategy decisions via a policy development process. • The technology levers needed to monitor production data based on the policies. Collectively, data governance artifacts (policies, guiding principles and operating procedures) give notice to all stakeholders and let them know, “We value our data as an asset in this organization, and this is how we manage it.”
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SAS
Published By: SAS     Published Date: Apr 16, 2015
SAS Institute is gearing up to make a self-service data preparation play with its new Data Loader for Hadoop offering. Designed for profiling, cleansing, transforming and preparing data to load it into the open source data processing framework for analysis, Data Loader for Hadoop is a lynchpin in SAS's data management strategy for 2015. This strategy centers on three key themes: 'big data' management and governance involving Hadoop, the streamlining of access to information, and the use of its federation and integration offerings to enable the right data to be available, at the right time.
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SAS
Published By: SAS     Published Date: Aug 03, 2016
No matter the vintage or sophistication of your organization’s data warehouse (DW) and the environment around it, it probably needs to be modernized in one or more ways. That’s because DWs and requirements for them continue to evolve. Many users need to get caught up by realigning the DW environment with new business requirements and technology challenges. Once caught up, they need a strategy for continuous modernization.
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best practices, technology, data, business technology
    
SAS
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Despite heavy, long-term investments in data management, data problems at many organizations continue to grow. One reason is that data has traditionally been perceived as just one aspect of a technology project; it has not been treated as a corporate asset. Consequently, the belief was that traditional application and database planning efforts were sufficient to address ongoing data issues.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
Despite heavy, long-term investments in data management, data problems at many organizations continue to grow. One reason is that data has traditionally been perceived as just one aspect of a technology project; it has not been treated as a corporate asset. Consequently, the belief was that traditional application and database planning efforts were sufficient to address ongoing data issues. As our corporate data stores have grown in both size and subject area diversity, it has become clear that a strategy to address data is necessary. Yet some still struggle with the idea that corporate data needs a comprehensive strategy. There’s no shortage of blue-sky thinking when it comes to organizations’ strategic plans and road maps. To many, such efforts are just a novelty. Indeed, organizations’ strategic plans often generate very few tangible results for organizations – only lots of meetings and documentation. A successful plan, on the other hand, will identify realistic goals along with a r
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SAS
Published By: SAS     Published Date: Aug 28, 2018
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS
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