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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: 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: 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: 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
Published By: MeQuilibrium     Published Date: Jul 31, 2019
Even among high-income, highly educated people, almost 50 percent lack the skills they need to engage and perform in this era of increasing change and pressure. And only 6 percent of companies believe they are highly agile today. It’s time for a new perspective. In this e-book, discover the four challenges every HR executive faces in building engagement and performance, and how you can overcome them by: ? Equipping people and teams with resilience skills ? Meeting every employee right where they are ? Empowering all employees with leadership skills ? Harnessing cognitive insights that drive real results Get the e-book A New Perspective on Engagement and Performance today!
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MeQuilibrium
Published By: TIBCO Software     Published Date: Aug 20, 2019
How we fuel our vehicles, heat our homes, and power our industries is undergoing fundamental change. Well-deployed but inefficient technologies, such as internal combustion engine cars and oil/gas boilers are being replaced with electrified and higher-efficiency alternatives. And renewables such as sunlight, wind, thermal, and others, supported by next generation battery storage, are fueling an evergreater share of energy demand.
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renewable energy, oil&gas, connected intelligence, real-time data, analytical insights, information technology
    
TIBCO Software
Published By: BetterUp     Published Date: Mar 06, 2019
Despite the huge amount of time, money, and resources invested in L&D solutions, most simply deliver information without effecting lasting transformational change. In fact, after a year, only about 30% of employees successfully transfer their learnings to the workplace. A new approach is required as most L&D solutions are failing us. In this report, we share the five shortcomings of L&D solutions today and offer insights into how you can create a program that delivers the business outcomes you need, while enabling your people to thrive.
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BetterUp
Published By: PwC     Published Date: Aug 27, 2019
Six hours a day. According to research, that’s how much of a lawyer’s time, on average, is spent on administrative tasks or new client development (sound familiar?). Fortunately, technology and the data it generates can help you streamline systems and processes — and reveal important insights about your firm. But what tools should you use? How should you implement them? We’ve got the answers. Our guide outlines what you need to know when leveraging technology to reduce admin inefficiencies and, better yet, increase cash flow. You’ll learn how to identify what metrics matter most to your practice: like billable hours, profitability by client and hiring decisions. It also spotlights helpful tools, like PwC’s InsightsOfficer, that turn data into insights, impacting your firm’s performance.
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PwC
Published By: Ability Commerce     Published Date: May 18, 2009
It always surprises me that as eCommerce marketers we give lip service to the importance of testing, buy many of us don't take the time to fine-tune our email programs. If you are able to identify a few elements through testing that resonate with your customers and then employ those insights in your ongoing program, the improvements may be sustainable over time.
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ability commerce, seo, email frequency, email test, lead generation, roi, pci, ecommerce
    
Ability Commerce
Published By: Epicor Software Corporation     Published Date: Mar 09, 2018
Learn how ERP software addresses the real-world challenges companies face as they look to grow in today’s global economy. Take the virtual tour and see how your business can: • Reach new markets, expand product lines and grow your business with deep Industry and country specific functionality • Drive improved customer experience and accelerate the digital transformation of your business • Expand collaboration within your company and throughout your supply chain with social and commerce solutions • Respond quickly to changing demands with configurable real-time mobile capabilities Please view the virtual tour below for more information about Epicor ERP version 10. The tour will acquaint you with Epicor ERP and offer insight on how Epicor inspires growth for leading business around the globe.
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Epicor Software Corporation
Published By: HERE Technologies     Published Date: Jan 16, 2019
Audience segmentation is key for successful ad campaigns. Without it, a brand is flying blind – wasting spend and resources. However, the good news is that increasingly sophisticated technology makes it possible for brands to gain a deeper understanding of their target audiences – and how to reach them. This is especially true of location intelligence-driven advertising which can give more timely and complete insights into audiences than ever before. As one of the world’s leading location platforms in 2018, HERE Technologies shares insights and solutions to buying location data for better audience segmentation. Find out about the challenges and questions to ask when buying location data and download the Buyers Guide for Marketers.
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location data, ad tech, location targeting
    
HERE Technologies
Published By: HERE Technologies     Published Date: Mar 11, 2019
Increasingly sophisticated location technology makes it possible for data scientists to gain a deeper understanding of their target audiences – and how to reach them. Accurate and precise intelligence can give more timely and complete insights into audiences than ever before. As one of the world’s leading location platforms in 2018, HERE shares insights and solutions to buying location data for better audience segmentation.
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location data, ad tech, location targeting
    
HERE Technologies
Published By: HERE Technologies     Published Date: Mar 11, 2019
Audience segmentation is key to any marketing strategy. Without it, a brand is flying blind – wasting spend and resources. However, the good news is that increasingly sophisticated technology makes it possible for brands to gain a deeper understanding of their target audiences – and how to reach them. This is especially true of location intelligence-driven advertising which can give more timely and complete insights into audiences than ever before. As one of the world’s leading location platforms in 2018, HERE shares insights and solutions to buying location data for better audience segmentation.
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location data, ad tech, location targeting
    
HERE Technologies
Published By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
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