analytics

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Published By: RMS     Published Date: Jul 18, 2019
The more holistic view of risk a property underwriter can get, the better decisions they are likely to make. In order to build up a detailed picture of risk at an individual location, underwriters or agents at coverholders have, until now, had to request exposure analytics on single risks from their portfolio managers and brokers. Also, they had to gather supplementary risk data from a range of external resources, whether it is from Catastrophe Risk Evaluation and Standardizing Target Accumulations (CRESTA) zones to look-ups on Google Maps.
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RMS
Published By: RMS     Published Date: Jul 18, 2019
When evaluating single risks, underwriters and coverholders typically have to request exposure analytics from their portfolio managers and brokers, or gather their own supplementary risk data from a range of external resources, whether it is from Catastrophe Risk Evaluation and Standardizing Target Accumulations (CRESTA) zones, through to lookups on Google Maps. But all this takes valuable time, requires multiple user licenses and can generate information that is inconsistent with the underlying modeling data at the portfolio level.
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RMS
Published By: Commvault ABM Oct     Published Date: Jul 17, 2019
Enterprises are cobbling together all the pieces that make up a digital business - improved analytics, scalable architecture, automation, and more engaging customer experiences, just to name a few. At the same time, they're facing the ever-present threats of cyber attacks and data breaches.
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Commvault ABM Oct
Published By: FICO EMEA     Published Date: Jul 17, 2019
Die Hersteller von heute suchen mehr denn je nach Wegen, um Advanced Analytics im gesamten Lebenszyklus eines Produkts in Bezug auf Planung und Produktion anzuwenden, um grundlegende Vernderungen zu erzielen und ihre Geschftsttigkeiten auszubauen.
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FICO EMEA
Published By: Flexential     Published Date: Jul 17, 2019
In a data environment thats become increasingly centralized by public cloud services, the edge is emerging as a critical solution for reducing latency for network-based services. Consumption habits of services and the need for analytics are shifting beyond core population centers, becoming local and even hyper-local within a region or city. As the online population continues to grow and new services emerge, the ability to handle data traffic securely close to the customer or application will become a common pattern for the new service evolution.
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Flexential
Published By: 15five     Published Date: Jul 17, 2019
The best practices for managing employees evolves at a break-neck pace. In 2019, the key distinction for performance management strategies is to focus on the whole employee. This ranges from physical, emotional, and mental well-being to facilitating their personal and professional development. To help you gain a deeper understanding of new trends, we assembled this list of top trends to help you create or refine your employee performance management strategy this year, including: Developing trust with your employees The value of people analytics Individualized support Learning & development Diversity & inclusion
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15five
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: Adobe     Published Date: Jul 15, 2019
Mit einer stndig wachsenden Anzahl von Kundeninteraktionen, insbesondere im digitalen Bereich, wollen Unternehmen schnell Wettbewerbsvorteile erzielen, indem sie mithilfe von Daten und Einblicken mageschneiderte 360-Grad-Profile ihrer Kunden erstellen und aktivieren, um ein besseres Erlebnis zu bieten. Um das digitale Wachstum zu beschleunigen und ihre Geschftsstrategien zu verbessern, haben viele globale Unternehmen isolierte, redundante Technologieumgebungen aufgebaut, die zu ungenauen oder sogar widersprchlichen Ansichten ber die Markeninteraktionen ihrer Kunden fhren. Beispielsweise zeigen die Untersuchungen von Forrester, dass 90 % der Unternehmen mehrere Analysewerkzeuge verwenden
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Adobe
Published By: Adobe     Published Date: Jul 15, 2019
Avec un nombre sans cesse croissant dinteractions client, notamment digitales, les entreprises cherchent rapidement obtenir un avantage concurrentiel en utilisant des donnes et des informations grande chelle pour crer et activer des profils 360 degrs de leurs clients afin doffrir une meilleure exprience. Presses dacclrer leur croissance digitale et damliorer leurs stratgies commerciales, de nombreuses entreprises mondiales ont mis en place des environnements technologiques cloisonns et redondants, ce qui a donn lieu des points de vue inexacts ou, pire encore, contradictoires sur les interactions de leurs clients avec leur marque. Par exemple, ltude mene par Forrester rvle que 90 % des entreprises utilisent plusieurs outils danalytics
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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. Todays 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, well 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
Todays C-level executives expect data and analytics to provide them with speed and agility to deliver competitive advantage and to disrupt new markets. But, in todays complex data environment exists a near paradox between these expectations, that companies will be able to rapidly deliver value using data and analytics--and the complexities of the data landscape, making it more difficult to find, govern, connect to and access the data needed to deliver that value. Once thing is clear: if management expectation is to be met, simplifying connectivity is a must.In this white paper, veteran analyst Mike Ferguson, Managing Director of Intelligent Business Strategies explores how simplifying data access connectivity aligns expectations with data realities thus decreasing time to value.
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Simba by Magnitude
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Jul 11, 2019
The Scandinavian commercial vehicle manufacturer wanted better uptime and reduction of vehicle on road (VOR), and also provide real-time feedback and visibility to their customers. LTI helped streamline analytics to detect exceptions and create actionable and achievable high scalability with microservices and serverless architecture. Download full case study
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Larsen & Toubro Infotech(LTI)
Published By: Workday     Published Date: Jul 05, 2019
"Putting people analytics into practice can be difficult, but this eBook outlines six key steps that can guide you through the journey. Learn how to demystify the tools and processes that help you derive insights from your people data. Read now."
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workday, workforce technology, digital strategy
    
Workday
Published By: Workday     Published Date: Jul 05, 2019
"Putting people analytics into practice can be difficult, but this eBook outlines six key steps that can guide you through the journey. Learn how to demystify the tools and processes that help you derive insights from your people data. Read now."
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workday, workforce technology, digital strategy
    
Workday
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 France     Published Date: Jul 05, 2019
"Getting the most out of your workforce data isnt easy, but the six key steps outlined in this eBook can help. Read now to learn how you can improve your people analytics capabilities and empower HR to become a more strategic partner to the business."
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workforce-technologie, digitale strategie
    
Workday France
Published By: Workday Netherlands     Published Date: Jul 05, 2019
"In zes stappen, omschreven in dit eBook, verbetert u uw people analytics skills en helpt u uw organisatie vooruit. Haal de beste inzichten uit uw personeelsdata Bied de juiste informatie aan de juiste stakeholders op het juiste moment Stel HR in staat om zakelijke doelen strategisch te ondersteunen Lees het eBook nu."
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workday, workforce technology, digital strategy
    
Workday Netherlands
Published By: Workday     Published Date: Jul 05, 2019
Getting the most out of your workforce data isnt easy, but the six key steps outlined in this eBook can help. Read now to learn how you can improve your people analytics capabilities and empower HR to become a more strategic partner to the business.
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workforce-technologie, digitale strategie
    
Workday
Published By: Pure Storage     Published Date: Jul 03, 2019
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache Spark has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude.
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Pure Storage
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
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 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 Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 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
Published By: SAS     Published Date: Jun 27, 2019
In the quest to understand how a therapeutic intervention performs in actual use in real medical practice outside the controlled environment of clinical trials many life sciences organizations are stymied. They rely on one-off processes, disconnected tools, costly and redundant data stores, and ad hoc discovery methods. Its time to standardize real-world data and analytics platforms to establish much-needed consistency, governance, repeatability, sharing and reuse. The organizations that achieve these goals will formalize their knowledge base and make it scalable, while significantly reducing turnaround times, resources and cost. Learn the seven key components for putting that structure to real-world evidence and four ways to take it to the next level.
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SAS
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