data insights

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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: Artemis Health     Published Date: Aug 08, 2019
The benefits landscape is constantly shifting, and it’s hard for brokers and consultants to keep up with the latest best practices. The key to making great recommendations? Great data. In this whitepaper, you’ll discover: • How a data solution can offer actionable insights in just 1 hour a week • The advantages of a data platform for serving the entire book of business • How more brokers and consultants acknowledge data as a competitive advantage
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Artemis Health
Published By: HERE Technologies     Published Date: Aug 08, 2019
The overall supply chain is becoming increasingly complex. When running smoothly, this global system lowers costs and improves quality, but as more moving parts are introduced the potential for inefficiency increases. Greater visibility is key to preventing disruptions and gaps in the supply chain - and location data is the key to enhancing visibility. By reading this eBook, you will discover: How location intelligence can help identify areas that are ripe for optimization How real-time data can provide useful insights on supply chain health and help identify waste in your processes How HERE helped a car manufacturer identify millions in savings annually by adding location awareness to its supply chain planning
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supply chain, transport and logistics, mapping
    
HERE Technologies
Published By: SAS     Published Date: Aug 06, 2019
With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
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SAS
Published By: Google     Published Date: Aug 05, 2019
"Agile BI requires more than just agile dashboards. True agility means prototyping data models quickly so business users can continuously iterate on them. Application development and delivery professionals working on BI initiatives should consider adding DWA platforms to their BI toolbox. This Forrester report discusses how seven data warehouse automation vendors bring Agile options to all phases of BI/analytics application development. Read more to find out how these platforms help facilitate shorter development cycles."
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data warehouse automation, forrester, agile solutions, business intelligence, analytics
    
Google
Published By: Google     Published Date: Aug 05, 2019
As organizations continue to produce vast quantities of data, they increasingly need platforms that allow them to analyze, store, and extract meaningful insights from that data. Gartner helps data and analytics leaders evaluate 19 vendors in an increasingly split market. Download the Gartner Magic Quadrant report and find out more.
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data management, database solutions, databases, enterprise database, managed database
    
Google
Published By: Workday     Published Date: Jul 30, 2019
In HR, you have access to an enormous amount of data. How do you filter out the noise from the insights? In this eGuide, and as part of the Getting the Basics Right series, you'll learn how to align on business and HR KPIs including a priority sequenced step-by-step approach to forming these processes.
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Workday
Published By: Box     Published Date: Jul 29, 2019
Most CIOs today understand that digital transformation initiatives can help streamline business process; boost ef?ciency; increase competitiveness; and, broadly, help their organization become disruptive over the long term. Some of the transformation initiatives under way—even in many pace-setting companies—are struggling to manage the exponential explosion of unstructured data and the associated heightened compliance and security demands, however. Fortunately, new solutions that tap arti?cial intelligence (AI) can extract hidden insights from unstructured data, such as documents, images, videos, and audio ?les. AI is also helping automate many of the labor-intensive processes used to classify, organize, and analyze unstructured content
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Box
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: ttec     Published Date: Jul 24, 2019
Data drives decision making across the enterprise. For sales executives, it’s critical to have information about where to focus outreach and understand what potential customers are looking for. But having data for its own sake won’t do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to advanced insights and machine learning that process algorithms and crunch millions of data points, new purchase patterns and propensity models are emerging to guide sales leaders as to what will work best for their business. Read this paper to learn how to act on advanced insight in the sales and marketing process. Highlights include: The enormous potential of new data tools and analysis Resources needed to act on the insight Company examples Strategic and operational recommendations
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ttec
Published By: SAS     Published Date: Jul 22, 2019
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices. Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation. This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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SAS
Published By: TIBCO Software     Published Date: Jul 22, 2019
Connected Intelligence in Insurance Insurance as we know it is transforming dramatically, thanks to capabilities brought about by new technologies such as machine learning and artificial intelligence (AI). Download this IDC Analyst Infobrief to learn about how the new breed of insurers are becoming more personalized, more predictive, and more real-time than ever. What you will learn: The insurance industry's global digital trends, supported by data and analysis What capabilities will make the insurers of the future become disruptors in their industry Notable leaders based on IDC Financial Insights research and their respective use cases Essential guidance from IDC
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization. Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon. We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to: Digitize the business Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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TIBCO Software
Published By: Oracle EMEA     Published Date: Jul 22, 2019
How confident are you and your peers about the data and security practices you’re working with? We asked 5,000 executives globally, across 24 markets and have some interesting results to share. For example, up to half of IT leaders consider their data is manageable but struggle to gain meaningful insights from it. Yet, while AI and autonomous technology could help relieve this situation, they aren’t high on the priority list. Read our report to find out more about executives’ views about data in connection with security, ethics, and visualisation. Read the report
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Oracle EMEA
Published By: Adobe     Published Date: Jul 15, 2019
With an ever-growing array of customer interactions, especially digital, businesses are rapidly looking to gain competitive advantage by using data and insights at scale to create and activate 360-degree profiles of their customers to deliver a better experience. In a rush to accelerate digital growth and improve their business strategies, many global enterprises have built soiled, redundant technology environments, resulting in inaccurate, or worse, conflicting views of their customer's brand interactions. For example, Forrester's research reveals that 90% of enterprises use multiple analytics tools.
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Adobe
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Siloed data has become the Achilles heel of marketing insights –especially in the world of B2B and B2B2C marketing. Today’s marketing and sales departments sit on a goldmine of data derived from the dozens of applications and data sources in their MarTech stack. Still, the real opportunity for insights is hidden in the combined data across applications. Combining data in a comprehensive way delivers a full picture of marketing efficacy and efficiency. In this eBook, learn about the origins of siloed data, and how data has emerged and evolved, as well as review the benefits that marketing can realize with connected data. Along the way, we’ll share some action items you can take to assess your current situation and build a plan to unify your data and fuel great marketing insights.
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Simba by Magnitude
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Siloed data has become the Achilles heel of marketing insights –especially in the world of B2B and B2B2C marketing. Today’s marketing and sales departments sit on a goldmine of data derived from the dozens of applications and data sources in their MarTech stack. Still, the real opportunity for insights is hidden in the combined data across applications. Combining data in a comprehensive way delivers a full picture of marketing efficacy and efficiency. In this eBook, learn about the origins of siloed data, and how data has emerged and evolved, as well as review the benefits that marketing can realize with connected data. Along the way, we’ll share some action items you can take to assess your current situation and build a plan to unify your data and fuel great marketing insights.
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Simba by Magnitude
Published By: HERE Technologies     Published Date: Jul 11, 2019
Supply chain managers are increasingly leveraging location intelligence and location data to raise visibility throughout their whole logistics process and to optimize their delivery routes. Leveraging this data requires an ever-more-robust technology stack. As supply chain technology stacks become more complex, diverse and defined by legacy system integrations, Application Program Interfaces (APIs) are becoming essential to making stacks scale, allowing supply chain managers to better meet the demands of the new generation of consumers. Innovative location APIs provide supply chain stacks and applications with: Greater agility Contextual intelligence Real-time data implementation Speed Scale Introducing new technology into an organization can sometimes be daunting. As one of the world’s leading location platforms, HERE shares insights and tips to streamline the supply chain technology integration across the whole organization.
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here technologies, supply chain, mapping
    
HERE Technologies
Published By: AWS     Published Date: Jul 10, 2019
Being able to monitor and respond to patient inquiries quickly and effectively is critical to creating a positive clinical experience and delivering successful products. But compiling and monitoring this data to address customer concerns in a timely way is a challenge when you have disparate sources and systems, global teams, and multiple patients. Read how a top 10 global pharmaceutical company worked with Slalom and AWS to design and implement a unified and globally distributed event and inquiry data reporting system. By combining three types of requests into one solution, the company has improved the customer experience and increased call center and data input operational efficiency by 50%. Learn how to Increase access to relevant data to help inform future or ongoing clinical trials Adapt your existing system development processes to an agile approach Engage with Slalom and AWS throughout the lifecycle of a healthcare engagement
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AWS
Published By: Workday France     Published Date: Jul 05, 2019
Whether informing talent strategy or building more effective teams, data-driven insights about your workforce can set you up for success. This eBook from Human Capital Institute explores how people analytics can empower your entire organisation. Read now."
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workforce-technologie, digitale strategie
    
Workday France
Published By: Workday Netherlands     Published Date: Jul 05, 2019
"How can your growing organisation scale effectively and remain competitive? A strong HR core can help. This playbook from HR guru Jason Averbook and Workday offers step-by-step instructions for building an HR foundation that helps teams achieve success across your organisation. Read now to learn how the right technology enables you to: ? Streamline HR processes ? Better engage your workforce ? Deliver timely data-driven insights to stakeholders "
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finance, workday, workforce technology, digital strategy
    
Workday Netherlands
Published By: Workday     Published Date: Jul 05, 2019
How can your growing organisation scale effectively and remain competitive? A strong HR core can help. This playbook from HR guru Jason Averbook and Workday offers step-by-step instructions for building an HR foundation that helps teams achieve success across your organisation. Read now to learn how the right technology enables you to: ? Streamline HR processes ? Better engage your workforce ? Deliver timely data-driven insights to stakeholders
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workforce-technologie, digitale strategie
    
Workday
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artifi cial 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. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifi cally to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, 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. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
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