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data management strategies

Results 1 - 25 of 38Sort Results By: Published Date | Title | Company Name
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: 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: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: Vision Solutions     Published Date: Aug 21, 2014
A report on research findings into the state of resilience and methods used companies to ensure their strength.
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data management strategies, data protection, system migrations, data safeguarding, cloud computing, data center design and management
    
Vision Solutions
Published By: Oracle     Published Date: Aug 08, 2013
As social media use has grown, an urgent need has emerged to correlate the information generated through social data with existing consumer information, and integrate it with sophisticated data management systems. This white paper describes how organizations can blend social insights with more-traditional data in an integrated customer data hub to optimize social strategies and create outreach efforts, new products, and campaigns grounded in real-time, repeatable, automated, and scalable analysis.
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social media, business intelligence, customer hub, crm, oracle
    
Oracle
Published By: Pure Storage     Published Date: Sep 27, 2019
At no other time has data played such a crucial role in the success of our commercial sector, and no more so than in financial services. We can see this powerfully illustrated when we pause to consider the growth of data driven ‘technologies’ such as Artificial Intelligence and their prevalence in driving innovation in areas such as risk management, multi-channel customer experience and fraud detection. So keen is the sector to use data to deliver advantage, that PwC says startups with a strong AI-based offer attract some of the most lucrative funding – to the tune of $1 billion over the past two years.1 With this as our landscape, and the continued drive to deliver data-driven innovation the prospect of disruption and downtime is something that cannot be countenanced. This being the main reason why the senior management of most organisations continue to buy into tried-and-tested Disaster Recovery (DR) strategies. We all feel assured that if we ‘double up’ our investments in – as f
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Pure Storage
Published By: Schneider Electric     Published Date: Oct 11, 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: CA Mainframe     Published Date: Sep 12, 2008
The CA Performance Management Handbook for DB2 for z/OS by renowned tuning experts Susan Lawson and Dan Luksetich of YL&A covers information to enhance your skills and raise awareness for databases performance management issues and tuning strategies. This supplement to the CA Performance Management Handbook provides specific information on which technologies apply to which issues and how CA Database Management addresses your most pressing database performance management challenges.
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ca mainframe, mainframe, apm, application performance management
    
CA Mainframe
Published By: Oracle ODA     Published Date: Dec 06, 2016
IT leaders must consider new approaches to database administration, implementation, and security, including proactive management, to reduce time-consuming administrative tasks. This, in turn, will free them to develop strategies for capitalizing on the new data-driven initiatives that can help transform the enterprise. Learn more about these opportunities as well as how products, such as an integrated Database Appliance, can streamline the management of these tasks, while reducing costs and time.
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Oracle ODA
Published By: Oracle ODA     Published Date: Dec 06, 2016
It’s no secret that data-driven business strategies have resulted in unprecedented data growth and management of more complex database structures. Not only that, but IT leadership continues to play a strategic role in the direction of the business, especially as these disruptive business strategies come into play. This white paper addresses some of the key considerations IT management should have as they evaluate their IT roadmap and infrastructure to meet these dynamic enterprise needs.
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Oracle ODA
Published By: Datastax     Published Date: Dec 27, 2018
Most enterprises operate in a hybrid cloud environment, whether they know it or not. The benefits of hybrid cloud and multi-cloud architectures are numerous, but since most companies don’t even realize they’re using multi-cloud, they’re not taking full advantage of the multi/hybrid cloud environment. Read this ebook to learn how proper data management via an enterprise data layer empowers enterprises to unlock the full potential of their multi- and/or hybrid cloud strategies to achieve data autonomy while scaling efficiently, effectively, and safely.
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Datastax
Published By: DataStax     Published Date: Nov 02, 2018
Most enterprises operate in a hybrid cloud environment, whether they know it or not. The benefits of hybrid cloud and multi-cloud architectures are numerous, but since most companies don’t even realize they’re using multi-cloud, they’re not taking full advantage of the multi/hybrid cloud environment. Read this ebook to learn how proper data management via an enterprise data layer empowers enterprises to unlock the full potential of their multi- and/or hybrid cloud strategies to achieve data autonomy while scaling efficiently, effectively, and safely.
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DataStax
Published By: Datastax     Published Date: Nov 02, 2018
Most enterprises operate in a hybrid cloud environment, whether they know it or not. The benefits of hybrid cloud and multi-cloud architectures are numerous, but since most companies don’t even realize they’re using multi-cloud, they’re not taking full advantage of the multi/hybrid cloud environment. Read this ebook to learn how proper data management via an enterprise data layer empowers enterprises to unlock the full potential of their multi- and/or hybrid cloud strategies to achieve data autonomy while scaling efficiently, effectively, and safely.
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Datastax
Published By: Datastax     Published Date: Dec 27, 2018
Most enterprises operate in a hybrid cloud environment, whether they know it or not. The benefits of hybrid cloud and multi-cloud architectures are numerous, but since most companies don’t even realize they’re using multi-cloud, they’re not taking full advantage of the multi/hybrid cloud environment. Read this ebook to learn how proper data management via an enterprise data layer empowers enterprises to unlock the full potential of their multi- and/or hybrid cloud strategies to achieve data autonomy while scaling efficiently, effectively, and safely.
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Datastax
Published By: Landis + Gyr     Published Date: May 30, 2017
Learn how five asset management strategies have evolved to unlock real-time data. Today, many utilities are developing transformative, data-driven asset management strategies that build on their advanced metering infrastructure (AMI) investments. The results? Improved reliability, customer satisfaction, efficiency, and long-term planning. In this white paper, we examine the relationship between asset management and technology: • How technology advances have driven the evolution of asset management • 5 asset management strategies built on real-time data • How you can prepare for a distribution-centric world
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asset management, analytics, data, ami, landis
    
Landis + Gyr
Published By: Merkle     Published Date: Oct 19, 2012
As media and channels proliferate with the upsurge in digital touchpoints, we have access to massive volumes of customer data. This leads to the personalization of customer interactions that drive customer strategy as a business strategy.
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brand experience, customer experience, customer insights, communication management, marketing accountability, roi, data management, customer centricity, crm, buying behaviors, segmentation, customer lifecycle, integrated, customer solutions, target segmented customers, measurement, marketing strategy, competitive advantage, business strategy, customer value
    
Merkle
Published By: Merkle     Published Date: Oct 19, 2012
An effective marketing investment strategy will help you take inventory of your current measurement framework and develop a more accurate, reliable and consistent strategy for assessing and improving the performance of your marketing spend.
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marketing accountability, roi, data management, customer centricity, crm, buying behaviors, segmentation, customer lifecycle, integrated, customer solutions, target segmented customers, marketing measurement, marketing strategy, competitive advantage, business strategy, customer value, optimization, integrated marketing strategies, integrated, customer experience
    
Merkle
Published By: Merkle     Published Date: Oct 19, 2012
An integrated customer communication strategy places customer needs, behaviors and value at the center of all interactions and will result in increased revenue, profit and shareholder value.
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data management, customer centricity, crm, buying behaviors, segmentation, customer lifecycle, integrated, customer solutions, target segmented customers, marketing measurement, marketing strategy, competitive advantage, business strategy, customer value, kpi, optimization, integrated marketing strategies, integrated
    
Merkle
Published By: McAfee     Published Date: Oct 28, 2014
For SIEM to help usher in more effective security and risk management strategies—particularly related to threat mitigation, embracing trends, and aligning with business priorities—these five business issues must be addressed. McAfee spoke with SIEM users and this brief lists those top issues along with corresponding customer case studies and use cases.
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big security data, situational awareness, real-time context, management ease, integrated security, siem, mcafee, risk management strategies, siem use cases, customer stories, federal government, healthcare provider, retailer, utility company, financial services, security
    
McAfee
Published By: Anaplan     Published Date: Mar 29, 2018
IDC believes that digitization and the 3rd Platform are driving enterprise leaders to consider significant upgrades to their business systems. Included in this list of systems are enterprise planning and performance management solutions. New tools must be fast and flexible to connect data from throughout an organization and continuously synchronize plans with changing market conditions. Organizations with planning and performance management needs should proactively evaluate connected EPM solutions as a central component of their digital enterprise strategies.
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enterprise, management, solutions, data, organization, solutions
    
Anaplan
Published By: Veeam '18     Published Date: Dec 04, 2018
"The new EU General Data Protection Regulation (GDPR) is the most important change in data privacy regulation in 22 years and it will have a profound impact on every organization that relies on the storage and processing of personal data of EU citizens. Starting May 25, 2018, the penalties begin for noncompliance, with GDPR fines of up to 4% of annual global revenue or 20 million euros - whichever is greater. As this new regulation also impacts Veeam®, we wanted to share our insights on our road to compliancy. In a new executive brief, GDPR: 5 Lessons Learned, Veeam Compliance Experience Shared, we walk through these lessons and share how our software played a critical role within data management and protection strategies to ensure we remain compliant while delivering Availability for the Always On Enterprise™."
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Veeam '18
Published By: MuleSoft     Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture. Read this whitepaper to learn: -Data management challenges in financial services -Best practices to manage data in financial institutions -Integration strategies for optimal data management
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back office systems, operational effectiveness, unlocking data, business imperatives, modernizing legacy systems, enterprise applications
    
MuleSoft
Published By: Mimecast     Published Date: Dec 20, 2018
According to Gartner, E-discovery readiness is an initiative that spans legal, IT and business stakeholder concerns and can also unify and align with archiving and data management strategies. To reduce risk and exposure, an E-discovery plan should be proactive and holistic instead of reactive and time pressured. This newsletter, “Strengthen E-Discovery Readiness to Reduce Cost and Risk” features Gartner research and offers guidance on the considerations for and E-discovery action plan, such as retention schedules, access rights, privacy concerns and security controls.
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Mimecast
Published 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.
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ibm integrated data management, siebel crm, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification, enterprise applications
    
IBM
Published 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.
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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, rapid data growth, data classification, enterprise applications
    
IBM
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