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data driven organization

Results 51 - 75 of 77Sort Results By: Published Date | Title | Company Name
By: Marketo     Published Date: Jun 08, 2017
As a marketer, you know how critical it is to understand how your marketing efforts contribute to the bottom line. There’s a lot that goes on behind-the-scenes to generate sales pipeline and ultimately revenue. And by becoming a data-driven marketer that’s in tune with the right metrics, you can demonstrate marketing’s contribution to both. Metrics illustrate the impact that you and your team are driving in the organization, which is critical to ensure you have the budget and resources you need to deliver optimum business outcomes. Without metrics, it’s nearly impossible to measure the success of your activities and identify elements to optimize in future campaigns. And without them, there’s no way to determine your return on investment (ROI).
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marketing, data driven, metrics, revenue model, tracking campaign, channel success, b2b, return on investment
    
Marketo
By: Enterprise Management Associates     Published Date: Nov 23, 2015
Join John Myers, managing research director at leading IT analyst firm Enterprise Management Associates (EMA), and Heine Krog Iversen, CEO at TimeXtender, for a discussion on how to improve your organization’s responsiveness to business change and how to adapt to a data-driven environment. Attendees will gain insight on: How data-driven organizations are changing business and technology Which data sources are empowering data-driven organizations and challenging IT departments How IT departments and analytical teams can get ahead of data-driven change How data warehouse automation enables not only data-driven business stakeholders, but proactive IT departments
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data warehouse, data automation, data driven organization, it departments, organization responsiveness, data warehousing
    
Enterprise Management Associates
By: NexGen     Published Date: Feb 09, 2015
Looking for the right Flash Array for you? Tired of all data being treated the same but want to save time and budget? Flash storage is helping to address the latency inherent with disk drives, enabling you to virtualize more, and reduce application response times. It's an inescapable fact that the $/GB of flash is much higher than disk drives. So why do the majority of storage vendors indiscriminately accelerate all data, regardless of its value to your business? All-flash arrays waste money by storing non-critical data in flash, and hybrid arrays can't control whether mission-critical or non-critical data accesses flash, leading to unpredictable performance. So what do you do to find a solution that addresses both of these issues? Download now and see NexGen's approach to value-driven data management. Make it simple to control what data is stored in flash and affordably tailor application performance to match your organizations priorities now! - See more at: http://www.findwhitep
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nexgen, hybrid, flash, cisco, nexus, vmware, software development, it management
    
NexGen
By: CDW     Published Date: Apr 04, 2016
Data proliferation can be both a source of business opportunity as well as a tremendous burden. With Hewlett Packard Enterprise’s broad portfolio and deep expertise, businesses can securely and easily harness their data to gain actionable insights, create and monetize new revenue streams, and enable continuous improvement of existing lines of business.
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data management, business practices, data application, insights, business optimization, network management, network performance, best practices, business intelligence, business management, content delivery, project management
    
CDW
By: Box     Published Date: Jan 16, 2015
Looking for the right Flash Array for you? Tired of all data being treated the same but want to save time and budget? Flash storage is helping to address the latency inherent with disk drives, enabling you to virtualize more, and reduce application response times. It's an inescapable fact that the $/GB of flash is much higher than disk drives. So why do the majority of storage vendors indiscriminately accelerate all data, regardless of its value to your business? All-flash arrays waste money by storing non-critical data in flash, and hybrid arrays can't control whether mission-critical or non-critical data accesses flash, leading to unpredictable performance. So what do you do to find a solution that addresses both of these issues? Download now and see NexGen's approach to value-driven data management. Make it simple to control what data is stored in flash and affordably tailor application performance to match your organizations priorities now!
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nexgen, hybrid, flash, cisco, nexus, vmware, software development, it management
    
Box
By: NetApp     Published Date: Mar 11, 2015
To enable the data-driven enterprise, IT organizations are moving rapidly to a services-based cloud model. This white paper highlights the challenges of controlling data in hybrid as-a-service IT environments and suggests that data control in hybrid IT should be looked at as a framework rather than as a single effort.
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NetApp
By: CDW-HPE Servers     Published Date: Apr 07, 2016
Data proliferation can be both a source of business opportunity as well as a tremendous burden. With Hewlett Packard Enterprise’s broad portfolio and deep expertise, businesses can securely and easily harness their data to gain actionable insights, create and monetize new revenue streams, and enable continuous improvement of existing lines of business.
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data management, business practices, data application, insights, business optimization, it management, enterprise applications
    
CDW-HPE Servers
By: AWS     Published Date: Oct 12, 2018
Safeguarding your data is more important than ever. In today’s data-driven business landscape, companies are using their data to innovate, inform product improvements, and personalize services for their customers. The sheer volume of data collected for these purposes keeps growing, but the solutions available to organizations for processing and analyzing it become more efficient and intuitive every day. Reaching the right customers at the right time with the right offers has never been easier. With this newfound agility, however, comes new opportunities for vulnerability. With so much riding on the integrity of your data and the services that make it secure and available, it’s crucial to have a plan in place for unexpected events that can wipe out your physical IT environment or otherwise compromise data access. The potential for natural disasters, malicious software attacks, and other unforeseen events necessitates that companies implement a robust disaster recovery (DR) strategy to
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AWS
By: AWS     Published Date: Jun 11, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
By: Glint     Published Date: Sep 26, 2017
This white paper explores the data-driven strategies of innovative organizations who leverage employee engagement as a strategic weapon to improve productivity, retention, and corporate performance. It looks at different ways of measuring engagement, how common challenges in building engagement programs have been overcome by well-known enterprises, and offers real-life examples from HR executives.
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employee engagement, hr metrics, employee engagement survey, employee engagement strategies, employee engagement strategy
    
Glint
By: IBM     Published Date: Jul 01, 2015
This paper discusses why it is important for healthcare organizations to become data driven, gives examples of organizations that are already leveraging a wide range of big data.
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clinical analytics, enhanced data foundation, data-driven healthcare organization, integrated data sources, data lifecycle management, big data, healthcare analytics solutions
    
IBM
By: IBM     Published Date: Mar 30, 2016
It is important for healthcare organizations to become data driven. IBM can help organizations leverage a wide range of big data to deliver clinical and financial benefits, and the provide the steps organizations should take to become data driven.
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ibm, healthcare, big data, healthcare analytics, enterprise analytics systems
    
IBM
By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
By: Cisco     Published Date: Jul 11, 2016
Operational efficiency and cost savings. Datadriven business insights. Organizational agility and market differentiation. Enterprises in every industry are pursuing such gains, but they cannot be achieved with a fragmented, siloed technology infrastructure. Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact. This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are aking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
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Cisco
By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
By: SAS     Published Date: Mar 20, 2019
What’s on the chief data and analytics officer’s agenda? Defining and driving the data and analytics strategy for the entire organization. Ensuring information reliability. Empowering data-driven decisions across all lines of business. Wringing every last bit of value out of the data. And that’s just Monday. The challenges are many, but so are the opportunities. This e-book is full of resources to help you launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven with best practices from TDWI, see what an open approach to analytics did for Cox Automotive and Cleveland Clinic, and find out how the latest advances in AI are revolutionizing operations at Volvo Trucks and Mack Trucks.
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SAS
By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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SAS
By: Oracle     Published Date: Nov 13, 2013
Being responsible for one-third of a business’ success already puts HR in a critical role. But it’s not just about finding the best people—it’s about finding the best people, at the lowest cost, with the lowest possible attrition and the best possible performance. And it’s about guiding your executive team to the right decisions using the language they understand best: numbers. Talent management—covering everything from recruiting and compensation to ongoing education and retention—has traditionally been managed in silos, with a series of disparate systems and disconnected processes and reports. In today’s data-driven world, CEOs demand more. This new study conducted by HR.com explores what’s working for organizations today and the biggest gaps to fill.
Tags : 
zenithoptimedia, oracle, successful hr leadership, talent management, core business strategy, human resources, transactional to strategic, financial decisions, smart recruiting, talent scarcity and recruitment, technology advances, competitive compensation, quality of hire, hire smartly, business management, employee performance, productivity
    
Oracle
By: SAS     Published Date: Apr 25, 2017
Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations’ challenges with data preparation and discuss technologies and best practices for making improvements.
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SAS
By: SAS     Published Date: Jun 05, 2017
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
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SAS
By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Tags : 
    
SAS
By: Oracle     Published Date: Nov 01, 2013
Being responsible for one-third of a business’ success already puts HR in a critical role. But it’s not just about finding the best people—it’s about finding the best people, at the lowest cost, with the lowest possible attrition and the best possible performance. And it’s about guiding your executive team to the right decisions using the language they understand best: numbers. Talent management—covering everything from recruiting and compensation to ongoing education and retention—has traditionally been managed in silos, with a series of disparate systems and disconnected processes and reports. In today’s data-driven world, CEOs demand more. This new study conducted by HR.com explores what’s working for organizations today and the biggest gaps to fill.
Tags : 
zenithoptimedia, oracle, successful hr leadership, talent management, core business strategy, human resources, transactional to strategic, financial decisions, smart recruiting, talent scarcity and recruitment, technology advances, competitive compensation, quality of hire, hire smartly, business management, employee performance, productivity
    
Oracle
By: Marketo     Published Date: Jun 08, 2017
As a marketer, you know how critical it is to understand how your marketing efforts contribute to the bottom line. There’s a lot that goes on behind-the-scenes to generate sales pipeline and ultimately revenue. And by becoming a data-driven marketer that’s in tune with the right metrics, you can demonstrate marketing’s contribution to both. Metrics illustrate the impact that you and your team are driving in the organization, which is critical to ensure you have the budget and resources you need to deliver optimum business outcomes. Without metrics, it’s nearly impossible to measure the success of your activities and identify elements to optimize in future campaigns. And without them, there’s no way to determine your return on investment (ROI).
Tags : 
    
Marketo
By: Oracle     Published Date: May 03, 2018
More than 75% of business leaders say their current ERP system doesn’t meet their requirements, let alone future plans. To enable today’s data-driven organization, the very foundation from which you are operating needs to be re-established; it needs to be “modernized”. To help you navigate your own journey to modernization, we’ve crafted this handbook series to share the knowledge gained working with many thousands of companies using both legacy and modern ERP systems.
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guide, erp, operation, data, organization, company
    
Oracle
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