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Published By: MarkLogic     Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform. Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices. Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to: • Unify, harmonize and ensure governance of information from diverse data sources • Transform information into evidence that proves product efficacy and safety • Identify data patterns, connections, and relationships for faster time to insight
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data, integration, drug, device, manufacture, science
    
MarkLogic
Published By: AWS     Published Date: Mar 22, 2018
Healthcare and Life Sciences organizations are adopting cloud-based workloads at a significant pace. A 2017 HIMSS study found that 65% of Healthcare organizations were using cloud-based services, and nearly 88% of those organizations were utilizing Software-as-a-Service (SaaS) solutions, which have become the preferred deployment method for many clinical application vendors. This eBook highlights advantages of using AWS to create and maintain cloudbased Next-Gen BI Solutions for Healthcare and Life Sciences organizations. This includes use cases from diverse organizations that have utilized AWS and APN Partners to manage and analyze data, and to discover insights otherwise obscured by the sheer volume of available information. Solutions from APN Partners can help your organization take the next step in building robust processes for making data-driven decisions that improve patient care, organizational processes, and innovative product development efforts.
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AWS
Published By: Juniper Networks     Published Date: Feb 05, 2018
Innovative data-driven strategies are enabling organizations to connect with customers and increase operational efficiency as never before. These new initiatives are built on a multitude of applications, such as big-data analytics, supply chain, and factory automation. On average, organizations are now 53% digital as they create new ways of operating and growing their businesses, according to the Computerworld 2017 Forecast Study. As part of this transformation, enterprises rely increasingly on multivendor, multicloud environments that mix on-premise, private, and public cloud services and workloads. This shift is causing enterprises to increase network capacity; 55% of enterprises in the Computerworld study expect to add network bandwidth in the next 12 months.
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security, automation, savings, technology, cloud
    
Juniper Networks
Published By: Pentaho     Published Date: Apr 28, 2016
Today, the need for self-service data discovery is making data governance a charged topic. As business-driven data discovery emerges as a fundamental need, the ability to ensure that data and analytics are trustworthy and protected becomes both more difficult and more imperative. This research explains how to manage the barriers and risks of self-service and enable agile data discovery across the organization by extending existing data governance framework concepts to the data-driven and discovery-oriented business. You’ll learn: - The implications of the "freedom vs. control" paradox - How to design for iterative, "frictionless" discovery - Critical checkpoints in data discovery process where governance should be in place
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pentaho, governed data, data and analytics, governance framework, freedom vs control, frictionless discovery
    
Pentaho
Published By: AWS     Published Date: Aug 01, 2018
Learn more about the AWS Partner Webinar Series at - https://amzn.to/2ILG0R7. Join our webinar to hear how Lyft and other data-driven organizations benefit from uncovering hidden insights in real time with AI solutions from Amazon Web Services (AWS) and Anodot. Learn how to prevent events that can impact your revenue and brand integrity with a solution that detects anomalies quickly, allowing you to address issues in a timely manner to help ensure a consistently high-quality experience for your customers.
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AWS
Published By: AWS     Published Date: Jan 03, 2019
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease. Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed. Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn: • How to generate relevant, actionable insights from any data, anywhere • Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud • How to
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AWS
Published By: Pure Storage     Published Date: Dec 05, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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Pure Storage
Published By: EMC Corporation     Published Date: Aug 05, 2014
Large organizations can no longer rely on preventive security systems, point security tools, manual processes, and hardened configurations to protect them from targeted attacks and advanced malware. Henceforth, security management must be based upon continuous monitoring and data analysis for up-to-the-minute situational awareness and rapid data-driven security decisions. This means that large organizations have entered the era of data security analytics. Download here to learn more!
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big data, data management, security threats, advanced analytics, security management, predictive analytics, compliance
    
EMC Corporation
Published By: Kronos     Published Date: Jul 26, 2017
When it comes to time, there never seems to be enough. Just ask any payroll professional. Time constraints are nothing new, but what is new is how payroll professionals are tackling the challenge. They are discovering how to strategically leverage today’s best-of-breed human capital management (HCM) technology to better manage the expectations and demands placed on today’s payroll teams to achieve greater business results. By investing in an HCM solution as an integral part of their workforce management strategy, businesses can align and create efficiencies within three core areas of payroll — compliance, processes, and data visibility. This will free up time for an already over-burdened payroll team that can add value, deliver on actionable real-time data, and execute on company-driven projects that can impact organizational goals and improve bottom-line results.
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payroll, human capital management, workforce management, compliance, processes, data visibility
    
Kronos
Published By: Anaplan     Published Date: Nov 27, 2017
"The pressure on sales to meet and exceed ever-increasing revenue targets is higher than ever before. At the heart of this challenge lies a complex analytical and modeling problem that involves data spread across many rigid–and usually disconnected–systems, teams, and geographies. Leading companies handle this problem by focusing first on creating a sales performance plan that is data-driven and tied to business objectives. The research report conducted by Harvard Business Review provides you with how today's sales executives: • Overcome technology weaknesses to uncover sophisticated analytics • Change ingrained, cultural tendances of sales organizations • Adopt dynamic practices to respond to change quicker"
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Anaplan
Published By: Infosys     Published Date: Sep 09, 2019
Infosys has embarked on a transformational journey to reinvent the way it and its clients do business. Like our most visionary clients, Infosys' goal is to become a completely knowledge- and data-driven organization, with agility built into its DNA so that it can quickly sense changing business needs and continuously evolve in response. But we are not there yet, and the road is challenging. We are envisioning Infosys to be a Live Enterprise powered by the Infosys Digital Platform. The vision with the digital platform is to provide everyone who uses it with a frictionless digital experience wherever they are in the world. Anytime, anywhere access will be completely scalable and secure, and will feature online and offline compatibility in a flawless, employee-centric manner.
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Infosys
Published By: Ephesoft     Published Date: Apr 04, 2018
If you have worked in an Accounts Payable department, you know that the premise of most AP functions is number-driven and data-driven. Invoices come in, they are processed and money goes out. While it may sound easy, the process requires special attention to details, numbers, data entry, approvals and other business processes. Organizations that use innovative, smart document capture solutions now have a simple way to streamline invoicing, improve accuracy and increase productivity.
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Ephesoft
Published By: Snowflake     Published Date: Jan 25, 2018
"The forces that gave rise to data warehousing in the 1980s are just as important today. However, history reveals the benefits and drawbacks of the traditional data warehouse and how it falls short. This eBook explains how data warehousing has been re-thought and reborn in the cloud for the modern, data-driven organization."
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Snowflake
Published By: Cohesity     Published Date: Aug 09, 2019
As organizations continue to look for ways to increase business agility, a need for a modern database architecture that can rapidly respond to the needs of business is more apparent than ever. While an RDBMS still serves as a lifeline for many organizations, the adoption of technologies such as NoSQL and Hadoop are enabling organizations to best address database performance and scalability requirements while also satisfying the goals of embracing hybrid cloud and becoming more data-driven. And with organizations relying so heavily on these new technologies to yield rapid insights that positively impact the business, the need to evaluate how those new technologies are managed and protected is essential. Hadoop and NoSQL workloads are now pervasive in production environments and require “production-class” data protection, yet few data protection solutions offer such capabilities today.
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Cohesity
Published 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
Published 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
    
Enterprise Management Associates
Published 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
    
NexGen
Published 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
    
CDW
Published 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
    
Box
Published 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
Published 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
    
CDW-HPE Servers
Published 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
Published By: Workday     Published Date: Sep 30, 2019
Be a more strategic partner to the business with data-driven HR analytics. Follow these five steps to: Streamline data processes Develop key metrics to answer essential business questions Share timely HR insights across the organization
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workday inc (wday), career development, employee engagement, human capital management, human resource management
    
Workday
Published By: AWS     Published Date: Jul 24, 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
Published 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
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