data model

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By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
Tags : iiot, medical device, life sciences, machine learning, 3d modeling, digital twin
     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 11, 2019
Getting transformation right in today's competitive world is critical, and one key factor is the ability to manage and use data to achieve enterprise Strategic Objectives. A Digital Twin is often at the very heart of the metamorphosis. Every single product has definable characteristics in the real world, and the Digital Twin combines and portrays the attributes virtually. In a perfect world, the Digital Twin would capture every single attribute of a product or system and its processes. In reality, the technology is still evolving to accomplish this vision and we're not there yet. That doesn't mean manufacturers can't proceed with and derive tremendous value from a simpler virtual model.
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     Dassault Systèmes
By: SAS     Published Date: Nov 08, 2019
As organizations continue to adopt predictive analytics, many are struggling to make it stick. Challenges include skills, executive and organizational support, and data infrastructure issues. Many organizations have not considered how to practically put analytics to work, given the organizational, technology, process, and deployment issues they face. Addressing these issues involves a combination of traditional and new technologies and practices. Some practical considerations highlighted in this report include: Model Development, Infrastructure and Operational Process.
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     SAS
By: MicroStrategy     Published Date: Nov 08, 2019
The Constellation AstroChartTM research supplies a visual guide of the trends impacting Data to Decisions. After assessing boardroom priorities, organizations should employ AstroCharts to inform portfolio management. This report contains two AstroCharts: one identifying Business Trends and one identifying Technology Trends. The vertical axes plot “Organizational Adoption” rates from Mainstream to Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an organization’s business model, from Incremental to Transformational to Exponential. The Constellation AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the dynamics impacting the entire market. This report applies Constellation’s AstroChart to the business theme of Data to Decisions. This research domain examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multidisciplinary approach that
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     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
The Constellation AstroChartTM research supplies a visual guide of the trends impacting Data to Decisions. After assessing boardroom priorities, organizations should employ AstroCharts to inform portfolio management. This report contains two AstroCharts: one identifying Business Trends and one identifying Technology Trends. The vertical axes plot “Organizational Adoption” rates from Mainstream to Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an organization’s business model, from Incremental to Transformational to Exponential. The Constellation AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the dynamics impacting the entire market. This report applies Constellation’s AstroChart to the business theme of Data to Decisions. This research domain examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multidisciplinary approach that
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     MicroStrategy
By: TIBCO Software     Published Date: Nov 07, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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     TIBCO Software
By: TIBCO Software     Published Date: Nov 07, 2019
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning. Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law. Get insights into: How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics An overview of the key market challenges for delivering a unified data management and governance model Real-world case studies from G-SIBs focused on data governanc
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     TIBCO Software
By: Hewlett Packard Enterprise     Published Date: Nov 01, 2019
"Extracting value from data is central to the digital transformation required for businesses to succeed in the decades to come. Buried in data are insights that reveals what your customers need and how they want to receive it, how sales, manufacturing, distribution, and other aspects of business operations are functioning, what risks are arising to threaten the business, and more. That insight empowers your businesses to reach new customers, develop and deliver new products, to operate more efficiently and more effectively, and even to develop new business models. "
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     Hewlett Packard Enterprise
By: Datastax     Published Date: Oct 11, 2019
The first and most important step to building a successful, scalable application is getting the data model right. In this white paper, you’ll get a detailed, straightforward, five-step approach to creating the right data model right out of the gate—from mapping workflows, to practicing query-first design thinking, to using Cassandra data types effectively.
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     Datastax
By: IBM APAC     Published Date: Sep 30, 2019
Digital technology is changing the financial services industry rapidly with automated process, AI insights, customized experiences, new operating models and next generation applications. In such a scenario how should banks innovate and stay ahead of the game? This e-book will provide you the best strategies and recommendations for modernizing your IT infrastructure and operations. You’ll learn how to lead disruption and manage rapid change for your bank, its operations and its customers. Here are the five key takeaways: • Personalize customer experiences by maximizing your data • Borrow strategies from open banking and new business models • Step up your security game • Drive innovation from the inside out • Design an agile infrastructure to support participation in new digital marketplaces Find out more in the e-book.
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     IBM APAC
By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Data quality tools are vital for digital business transformation, especially now that many have emerging features like automation, machine learning, business-centric workflows and cloud deployment models. This Magic Quadrant assesses 15 vendors to help you make the best choice for your organization.
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     Group M_IBM Q4'19
By: BlackBerry Cylance     Published Date: Sep 18, 2019
There will be a ransomware attack on businesses every 14 seconds by the end of 2019 . Every 40 seconds, one of those attacks will prove successful , with devastating effects ranging from permanent loss of irreplaceable data to life-threatening interruptions to patient care. In years past, expert malware authors packaged up their know-how into costly exploit kits sold on the underground market. Cyber criminals had to recover high upfront costs before launching a campaign and realizing a profit. Today, ransomware-as a-service groups like Satan make it easier than ever before for would-be cyber criminals with minimal technical skills to launch attacks, offering free ransomware toolkits and hands-on help to manage campaigns and extort payments. Read our white paper to learn how CylancePROTECT® prevents Petya, Goldeneye, WannaCry, Satan, and many more from executing, with machine learning models dating back to September 2015, long before the ransomware first appeared in the wild.
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     BlackBerry Cylance
By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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     SAS
By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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     Group M_IBM Q3'19
By: Dell EMC Storage     Published Date: Sep 03, 2019
The move to data-centric business models is geared to enable organizations to turn their data into data capital. Because of the more stringent performance, scalability, availability, flexibility, and management requirements of the data-centric model, these organizations must modernize their storage and data protection infrastructure through the process of IT transformation. This white paper defines data capital, describes how boosting data capital is a critical ingredient for competitive differentiation, and discusses the implications for data storage and data protection infrastructure. It then turns to an overview of the Dell EMC storage and data protection portfolio, exploring the benefits these solutions offer to organizations interested in crafting the most effective infrastructure to maximize the value of data capital. Dell EMC Transformation powered by Intel®
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     Dell EMC Storage
By: MicroStrategy     Published Date: Aug 28, 2019
The Constellation AstroChartTM supplies a visual guide of the trends impacting Data to Decisions. After assessing boardroom priorities, organizations should employ AstroCharts to inform portfolio management. This report contains two AstroCharts: one identifying Business Trends and one identifying Technology Trends. The AstroCharts’ vertical axes plot “Organizational Adoption” rates from Mainstream to Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an organization’s business model, from Incremental to Transformational to Exponential. The Constellation AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the dynamics impacting the entire market. This report applies Constellation’s AstroChart to the Constellation’s business theme of Data to Decisions. This research domain examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multidisciplin
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     MicroStrategy
By: Virgin Media Business     Published Date: Aug 28, 2019
The world is now digital. From the explosive expansion in data-driven service delivery to digitally disruptive business models such as Uber and Netflix that have fundamentally changed the way we consume products, the digital evolution is unavoidable. As digital continues to advance, it’s crucial that UK businesses can be confident in their ability to keep up to date with the latest trends and technologies. But enhancing existing tools and models is just the beginning. Digital transformation is about taking advantage of new innovations that completely change the way businesses work, the experiences they offer their customers and the value they deliver within their market. To find out more download this whitepaper today.
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     Virgin Media Business
By: ASME - Formlabs     Published Date: Aug 28, 2019
Rapid prototyping helps companies turn ideas into realistic proofs of concept, advances these concepts to high-fidelity prototypes that look and work like final products, and guides products through a series of validation stages toward mass production. With rapid prototyping, designers and engineers can create prototypes directly from CAD data faster than ever before, and execute quick and frequent revisions of their designs based on real-world testing and feedback. Download this white paper to learn: How rapid prototyping fits into the product design process The applications of rapid prototyping from concept models to manufacturing An overview and comparison of 3D printing technologies for rapid prototyping: FDM vs. SLA vs. SLS
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     ASME - Formlabs
By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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     MicroStrategy
By: MicroStrategy     Published Date: Aug 21, 2019
Ready or not, the future is here. For enterprise organizations, it must be a data-driven one. Whoever can use technology to transform the customer experience, and be the first to discover and deliver on new business models, will be the disruptor. Those who can’t, the disrupted in this period known as the “era of Digital Darwinism.” The future belongs to the Intelligent Enterprise which anticipates constantly evolving regulatory, technological, market, and competitive challenges and turns them into opportunity and profit. It delivers a single version of the truth and agility. It connects to any data and distributes reports to thousands. The Intelligent Enterprise goes beyond business intelligence, delivering transformative insight to every user, constituent and partner. Are most organizations there yet? As brands hone and focus their 2020 (and even 2030) vision, MicroStrategy has surveyed 500 enterprise analytics professionals on the state of their organization’s analytics initiatives.
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     MicroStrategy
By: Dell EMC Storage     Published Date: Aug 20, 2019
The move to data-centric business models is geared to enable organizations to turn their data into data capital. Because of the more stringent performance, scalability, availability, flexibility, and management requirements of the data-centric model, these organizations must modernize their storage and data protection infrastructure through the process of IT transformation. This white paper defines data capital, describes how boosting data capital is a critical ingredient for competitive differentiation, and discusses the implications for data storage and data protection infrastructure. It then turns to an overview of the Dell EMC storage and data protection portfolio, exploring the benefits these solutions offer to organizations interested in crafting the most effective infrastructure to maximize the value of data capital.
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     Dell EMC Storage
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."
Tags : data warehouse automation, forrester, agile solutions, business intelligence, analytics
     Google
By: Virgin Media Business     Published Date: Aug 05, 2019
The world is now digital. From the explosive expansion in data-driven service delivery to digitally disruptive business models such as Uber and Netflix that have fundamentally changed the way we consume products, the digital evolution is unavoidable. As digital continues to advance, it’s crucial that UK businesses can be confident in their ability to keep up to date with the latest trends and technologies. But enhancing existing tools and models is just the beginning. Digital transformation is about taking advantage of new innovations that completely change the way businesses work, the experiences they offer their customers and the value they deliver within their market. To find out more download this whitepaper today.
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     Virgin Media Business
By: Virgin Media Business     Published Date: Aug 02, 2019
The world is now digital. From the explosive expansion in data-driven service delivery to digitally disruptive business models such as Uber and Netflix that have fundamentally changed the way we consume products, the digital evolution is unavoidable. As digital continues to advance, it’s crucial that UK businesses can be confident in their ability to keep up to date with the latest trends and technologies. But enhancing existing tools and models is just the beginning. Digital transformation is about taking advantage of new innovations that completely change the way businesses work, the experiences they offer their customers and the value they deliver within their market. To find out more download this case study today.
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     Virgin Media Business
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