business intelligence

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Published 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
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: BillingPlatform     Published Date: Jul 30, 2019
Organization leaders and companies of all sizes are leveraging digital transformation in their industry, market, and business using a myriad of disruptive technologies like connectivity, the Internet of Things, blockchain, business intelligence and big data. CFOs who manage to get in front of these technologies will lead their businesses to greater success. This eBook illustrates how cloud-based billing management offers the quickest path toward this transformation. Download this eBook to explore how the right solution can help you: • Monetize IoT and increase revenue • Launch product innovations quickly • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today.
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BillingPlatform
Published By: BillingPlatform     Published Date: Jul 30, 2019
Discover How Cloud-based Billing Delivers Transformation Enterprise leaders and companies of all sizes are leveraging digital transformation through disruptive technologies like the Internet of Things, AI, business intelligence and big data. This eBook demonstrates 5 strategies for leading the charge for change within your business. Discover how to quickly leverage digital transformation in your technology stack and monetize it quickly with cloud-based billing. Download this eBook to explore how the right solution can help you: • Launch product innovations quickly • Monetize IoT and increase revenue • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today!
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BillingPlatform
Published By: Group M_IBM Q3'19     Published Date: Jul 30, 2019
Some technologies cause ripples, others cause waves of transformation. Artifical Intelligence (AI) is prehaps the most transformative of ur era. Read this paper to learn how AI can help you transform your business and B2B network so that you can build a business network for the future. Discover three ways you can apply AI--today--to build a modern, faster, more efficient B2B network: Access detailed, real-time transactional intelligence across your business Gain in-depth, real-time visability into supplier and partner performance Empower supply chain and LOB users with self-service
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Group M_IBM Q3'19
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
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: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: HERE Technologies     Published Date: Jul 23, 2019
Whether you’re a private company moving people or goods, or a governmental organization responsible for managing traffic flow, urban environments present a common set of challenges. Greater safety, reduced congestion and pollution, a better consumer experience, more well-organized networks and intuitive vehicle use are shared goals for all those looking to transform urban mobility. City transportation is about to undergo a seismic change. This presents a huge opportunity for businesses to improve their services and for public sector leaders to understand and manage networks more efficiently. By reading this ebook, you will discover how location intelligence helps: - Meet ever-increasing customer expectations of timely pick-ups and deliveries - Improve safety and congestion across a road network - Reduce operational costs and improve efficiency for movers of people and parcels -Maximize the use of fleet vehicles and drivers by efficiently matching supply to demand
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here tech, mapping, location data, location intelligence
    
HERE Technologies
Published By: TIBCO Software     Published Date: Jul 22, 2019
FINANCIAL SERVICES’ HISTORY OF DISRUPTION Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
FINANCIAL SERVICES’ HISTORY OF DISRUPTION Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today’s market. Now there has been a shift away from these “black box” applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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TIBCO Software
Published By: Expert System     Published Date: Jul 18, 2019
Robotic Process Automation (RPA) is helping companies reduce costs and improve on quality and productivity by automating some of their most time consuming, rule-based and replicable business processes. RPA is especially effective in the banking and insurance sector where it brings speed and efficiency to customer service and compliance. Based on artificial intelligence algorithms, Expert System’s Cogito cognitive technology enables an automatic, human-like understanding of the content of text documents. Applied to RPA, Cogito adds greater business value and ROI for both repetitive and complex information-intensive processes. Using Cogito, companies can expect up to 53% savings on activities such as FTEs and warranty management, and cost reductions of 30 to 60% for email management and quote processing, etc.
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Expert System
Published By: Zebra Technologies (Bulldog)     Published Date: Jul 11, 2019
Surviving and thriving amid the global, digital shopping revolution, in which consumers fluidly browse and buy from their smartphones, computers and in store, calls for a supply-chain makeover. Pressed to offer consumers fast, flexible and even free product fulfillment and delivery in an omnichannel retail landscape, a crowdsourced, collaborative model is taking shape. Traditional roles are blurring as logistics companies, manufacturers and retailers work to meet the growing on-demand economy via the adoption of business intelligence supply chain technologies.
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Zebra Technologies (Bulldog)
Published By: HERE Technologies     Published Date: Jul 11, 2019
Whether you’re a private company moving people or goods, or a governmental organization responsible for managing traffic flow, urban environments present a common set of challenges. Greater safety, reduced congestion and pollution, a better consumer experience, more well-organized networks and intuitive vehicle use are shared goals for all those looking to transform urban mobility. City transportation is about to undergo a seismic change. This presents a huge opportunity for businesses to improve their services and for public sector leaders to understand and manage networks more efficiently. By reading this ebook, you will discover how location intelligence helps: - Meet ever-increasing customer expectations of timely pick-ups and deliveries - Improve safety and congestion across a road network - Reduce operational costs and improve efficiency for movers of people and parcels -Maximize the use of fleet vehicles and drivers by efficiently matching supply to demand
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urban mobility, here tech, mapping
    
HERE Technologies
Published By: Esker     Published Date: Jul 09, 2019
We all know that teamwork makes the dream work. And in the case of procurement and accounts payable (AP), this rings especially true.This IOFM white paper explores the negative effects of dissociated procurement and AP departments and the benefits of integrating them with an automated, end-to-end P2P workflow, including: -Fewer duplicate payments & improved ROI -More collaborative teams & increased efficiency -Heightened business intelligence from greater visibility & reporting
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Esker
Published By: Esker     Published Date: Jul 09, 2019
In the innovation-focused world we live in, businesses that skimp on technology are the first to fall behind the competition. Top-performing enterprises have taken their AP operations to the next level by leveraging technology to streamline the AP process and allow for more strategic activities.This research report explores how best-in-class organizations are using emerging tech to operate AP departments at full potential and details strategies for success in the “Age of Intelligence,” including: Adopting a customer service-led mentality for AP teams Pursuing holistic & comprehensive AP process automation Integrating more progressive technologies, such as mobility & RPA
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Esker
Published By: Pure Storage     Published Date: Jul 03, 2019
For thousands of organizations, Splunk® has become mission-critical. But it’s still a very demanding workload. Pure Storage solutions dramatically improve Splunk Enterprise deployments by accelerating data ingest, indexing, search, and reporting capabilities – giving businesses the speed and intelligence to make faster, more informed decisions.
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Pure Storage
Published By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
Organizations continue to rush down the digital transformation path. Whether by modernizing their IT infrastructures, leveraging the cloud, or becoming data-centric and data-driven, organizations must become more agile in their business practices and within their IT infrastructure stack to effectively compete in today’s dynamic business environment. Between the speed and distributed nature of modern businesses, as well as the expectation of instantaneous access to data from everyday users, it’s not surprising that nearly one in three organizations are looking into ways to improve data analytics for real-time business intelligence and customer insight.
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Group M_IBM Q3'19
Published By: Genesys     Published Date: Jun 19, 2019
Contact centers often pool agents into large groups of generalists to distribute work evenly. Skills-based routing takes this a step further with specialized groups. But neither approach scales properly to identify all opportunities and drive business outcomes on each interaction. Predictive routing uses artificial intelligence (AI) and machine learning to create balance—meeting targets and giving customers a personalized experience. Read Demystifying AI: Creating an AI partnership that maximizes business results to learn how predictive routing systematically: Evaluates historical and real-time data to make predictions; Makes the best customer-agent match to drive desired outcomes; Keeps agents engaged and reduces handle times.
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Genesys
Published By: MicroStrategy     Published Date: Jun 06, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact.
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MicroStrategy
Published By: MicroStrategy     Published Date: Jun 06, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact.
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MicroStrategy
Published By: KPMG     Published Date: Jun 06, 2019
As businesses start to experiment with true artificial intelligence, safe delivery of AI demands a new risk and control framework. This report, designed for anyone tasked with the safe delivery of AI, proposes an effective solution. Read the report to find out: • the risks associated with AI and the challenge of managing them • a 17-category Risk & Controls framework for AI • in-depth details for key categories, including security management, business continuity and knowledge management • an essential glossary of AI terms.
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KPMG
Published By: Nuance EMEA     Published Date: Jun 04, 2019
New market entrants are shifting the way the financial sector operates, new business models are changing customer expectations, and ever-changing client demographics are forcing businesses to adapt the way they work. As we move into a decade of artificial intelligence (AI) and digital innovation, huge opportunities are opening up for the financial sector to combat these changes. But with this comes new challenges, and exponential increases in available information must be accompanied by smart tools and processes to make sense of it, ensure regulatory compliance, and add real value to clients. To find out more, download this ebook!
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Nuance EMEA
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