data strategy

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Published By: MarkLogic     Published Date: Jun 21, 2017
Remember Y2K – the IT “problem” that should have brought businesses to a screeching half? Despite the hype, the preparation led to widely documented business benefits and uncovered new opportunities that transformed organizations worldwide. Similarly in today’s highly regulated Financial Services industry, enabling GRC by integrating data from silos can be the driver for future business use cases like machine learning and anti-fraud detection services. GRC can be your catalyst for new opportunities. Listen in as our panel of financial services experts discuss the keys to reinventing your data strategy. We’ll cover: How to align your GRC strategy with a business transformation agenda How to ensure your organization’s approach to data management isn’t just a one-off solution, but a comprehensive one adaptable to changing regulations How to navigate the increasing regulatory demands for granular data security How to turn your compliance spend into new opportunities to earn revenue
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation, data architecture, compliance, reporting, business transformation, fraud, digital transformation
    
MarkLogic
Published By: Oracle     Published Date: Nov 07, 2018
At many organisations, planning and budgeting take too long and devour resources. Finance teams spend too much time on administrative tasks relating to these processes—collecting, consolidating and reconciling data, for example—and are left with little time for analysis, strategy development and target setting. Accuracycan be patchy, results unreliable.
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Oracle
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q119
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q2'19
Published By: Equinix     Published Date: Oct 27, 2014
The businesses that thrive amid fluctuating technology demands are not only keeping a finger on the pulse of current trends, they have the infrastructure in place to handle whatever changes might come. And they’re doing so by treating their data centers as a strategic asset—a hub from which providers and performance can all stem. Are you ready for what’s next? According to analyst forecasts and IT executives, the five key trends affecting our state of technology are mobility, consumer technology, cloud services, hyperdigitization and globalization. In the following pages, you’ll learn how these bgtrends are affecting current networks, and why a strategic data center is key to not only surviving, but thriving, today and in the future.
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data center, enterprise, cloud, experience, hybrid, performance, strategy, interconnectivity, network, drive, evolution, landscape, server, mobile, technology, globalization, stem, hyperdigitization, consumer, networking
    
Equinix
Published By: Workday     Published Date: Sep 19, 2018
Hoarding data isn’t doing much to help your financial services firm if you can’t easily combine data from multiple sources and quickly run analytics. But there is a way to turn those heaps of data into actionable insights to get clearer answers to your biggest questions and better drive your firm’s strategy. Read the blog to learn how to improve your back end to go from data hoarding to decision-making.
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Workday
Published By: Hewlett Packard Enterprise     Published Date: Sep 25, 2017
IT organizations today must work in an “and” world, rather than an “or” world to meet the demands of their users. In an “and” world, IT architectures and strategies leverage an ever-broadening variety of tools while still supporting and propelling a single strategy.
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Hewlett Packard Enterprise
Published By: Kaminario     Published Date: Sep 09, 2016
Here’s a handy checklist you can use in evaluating how well your healthcare data storage strategy holds up.
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ehr, healthcare, records, it strategy, it management, storage, business technology
    
Kaminario
Published By: Simba by Magnitude     Published Date: Mar 25, 2019
Software providers say that connecting applications to data sources, having adequate resources to do so, applying an effective maintenance strategy and addressing scalability are top-of-mind challenges. This eBook from the connectivity experts with 100s of person-years of data adapter experience is your how-to guide on the journey toward addressing these challenges to accelerate adoption of your application.
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Simba by Magnitude
Published By: Carbonite     Published Date: Oct 10, 2018
Backup and high availability are both essential forms of protection that fulfill different roles within a data protection strategy. So which type of protection is right for different systems? According to recent analyst reports, experts recommend a blended approach that aligns data protection with type of data.1 By aligning data protection with data urgency, businesses can ensure higher levels of resiliency and reduce demands on internal resources.
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Carbonite
Published By: Carbonite     Published Date: Jan 04, 2018
Backup and high availability are both essential forms of protection that fulfill different roles within a data protection strategy. So which type of protection is right for different systems? According to recent analyst reports, experts recommend a blended approach that aligns data protection with type of data.By aligning data protection with data urgency, businesses can ensure higher levels of resiliency and reduce demands on internal resources.
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Carbonite
Published By: MoreVisibility     Published Date: Dec 19, 2017
Each year Digital Marketing becomes more targeted and the available products get more detailed in terms of data advertisers can leverage with targeting. With search engines getting more sophisticated and collecting more user data, it’s important to make these considerations within your marketing strategy. Digital Marketing has changed from a few search engines and display networks to now include Social Media platforms, internet radio, video, algorithmic buying, and more. With all of these new tactics available, how can a business decide what is right for them and which channels will be most effective? Here, we will define what it takes to create an effective Digital Marketing Strategy and how we can navigate this complex marketing channel.
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MoreVisibility
Published By: IBM     Published Date: Jun 23, 2015
Watch this webinar to hear the VP of Enterprise Data Management for Sutter Health, Vijay Venkatesan describe the challenges and successes that Sutter Health faced in driving their enterprise wide data strategy.
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ibm, customer data, customer insight, data management, medical records, medical intelligence
    
IBM
Published By: Micron     Published Date: Oct 14, 2016
While software is essential to any big data strategy, it is not enough. Organizations must transform their infrastructure based on innovation in storage and memory to align with the increased need for faster, real-time decisions. Download this white paper to learn more.
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Micron
Published By: Datastax     Published Date: May 20, 2019
Mainframe technology is struggling to keep up with the data demands of today’s businesses. And yet, many businesses continue to rely on mainframes in spite of growing concerns around security, capacity, and performance. This white paper explains how adopting a data modernization strategy that incorporates your mainframe can save you millions of dollars in operating costs.
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Datastax
Published By: TIBCO     Published Date: Aug 18, 2014
Today, the open API is one of the most powerful sources of competitive advantage. It comes down to the potential of your data and services. Download this new eBook to learn how a well thought-out API strategy can help you compete and grow in new ways.
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tibco, api, byod, end user intelligence, business intelligence, byod, mobile device users, business strategy, business technology
    
TIBCO
Published By: HP     Published Date: Jul 08, 2009
Data is the backbone of every organization. No matter the business, industry, or size, reliable data access is essential to operations. Should a "worst-case scenario" occur, being prepared with an appropriate disaster recovery strategy is essential. Given the potential high cost associated with data loss, reliable data protection is no longer an option; rather, it is an obligation. This white paper discusses a data protection strategy that takes into consideration the business environment, offering sophisticated features while maintaining simplicity, affordability, and reliability.
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storage, data protection, reliability, reliable, disaster recovery, business protection, business continuity, storageworks, rto, rpo, recovery time objective, recovery point objective, tape, lan, san, das, direct attached storage, rdx, d2d, disk to disk
    
HP
Published By: HP     Published Date: Jul 08, 2009
Today's economic climate has heightened the goal of every IT department to provide high-quality IT service to the business, at the lowest possible cost, while improving business outcomes. Looking outside of the infrastructure itself, there are two key challenges related to data storage: provisioning capacity for applications and reducing risk through a sound data protection strategy. This white paper discusses the challenges of creating the right storage infrastructure, provides an overview of data storage options, and examines a storage solution that combines blade servers and network-attached storage.
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storage, storageworks, hp bladesystem, server, infrastructure, nas, network-attached storage, blade servers, data protection, san, fibre channel, iscsi, serial attached scsi, sas, proliant, msa, disk arrays, ethernet, rack, servers
    
HP
Published By: HP     Published Date: Jul 29, 2008
This white paper looks at HP's approach to Data Center Transformation and how it can help enterprise data centers reduce costs, manage risks, and support business growth. Learn about the 4 key factors which should influence your data center transformation strategy. See first hand how HP embarked on a three-year transformation program for its own data centers. This ambitious program involved rationalizing 85 data centers into just six global ones- with tangible and measurable benefits.
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network management, data center, datacenter, mission critical
    
HP
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