business intelligence management

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Published By: TIBCO Software     Published Date: May 16, 2019
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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data, applications, analytics, algorithms, innovation, cloud, technology, customer, banking
    
TIBCO Software
Published By: Visier     Published Date: Jan 25, 2019
John Schwarz founded Visier to address what he saw as the major failing of business intelligence and big data analytics. He had a front row seat in this market while leading Business Objects, the largest global business intelligence provider (acquired by SAP). John and co-founder Ryan Wong’s vision was to completely reinvent the approach to analytics, providing instant and complete, domain-specific applications to business leaders, answering their important strategic questions and leading them to adopt best management practices. Their applied business analytics project is working. Today, more than a hundred blue chip companies have selected Visier as their people strategy platform and are achieving incredible results. And that’s just the beginning.
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Visier
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: Lookout     Published Date: Dec 13, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence. Watch the webinar to learn more about: What makes up the full spectrum of mobile risks Lookout's Mobile Risk Matrix covering the key components of risk How to evolve beyond mobile device management
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Lookout
Published By: CA Technologies EMEA     Published Date: Sep 13, 2018
Auf einen Blick Mit dem neuen CA Project & Portfolio Management (CA PPM) 15.3 können Sie Projekte für beliebige Geschäftsbereiche ganz einfach per Drag-and-drop maßschneidern. Ob komplexe Workflows für die Personalabteilung oder einfaches Aufgabenmanagement für den Vertrieb – Projekte sind nun statt erst nach Tagen innerhalb weniger Minuten eingerichtet. Mit der In-App-Kooperation eliminieren Sie überflüssige Meetings, Budgets verwalten Sie mit einem vertrauten Raster ähnlich wie in Microsoft Excel®, und dank der neuen Verknüpfung mit Business Intelligence (BI) Tools von Drittanbietern lassen sich versteckte Antworten aufspüren. Sie verfügen damit über die modernste Projektportfoliomanagement-App, die derzeit am Markt verfügbar ist.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 13, 2018
Introduzione CA Project & Portfolio Management (CA PPM) 15.3 consente di personalizzare i progetti per qualsiasi business unit, con la semplicità del drag-and-drop. Dal complicato workflow per HR o alla semplice gestione delle attività per le vendite, oggi i lavoratori riescono ad avviare i progetti in pochi minuti, anziché in giorni. È possibile integrare la collaborazione all'interno dell'applicazione per eliminare riunioni ridondanti, una familiare griglia di tipo Microsoft Excel® per la gestione dei budget, una nuova connessione per strumenti di Business Intelligence (BI) di terze parti che consentono di trovare risposte, e si ottiene la più moderna app di Project Portfolio Management attualmente sul mercato.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
At a Glance: With the new CA Project & Portfolio Management (CA PPM) 15.3, you can tailor projects to any business unit with drag and-drop ease. Whether complex workflow for HR or simple task management for sales, workers now spin up projects in minutes—not days. Add in-app collaboration to eliminate redundant meetings, a familiar Microsoft Excel®-like grid to manage budgets, a new connection for third-party business intelligence (BI) tools to unearth answers, and you have the most modern project portfolio management app on the market today. Download this whitepaper today to find out more about CA PPM 15.3—a simple, powerful and practical project portfolio management tool available on-premises and in the cloud—let you modernize the project management office.
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CA Technologies EMEA
Published By: Adverity     Published Date: Jun 15, 2018
Master Your Client's Data To Build An Advertising Agency For The Future This is the first part of our ebook Strategic Playbook For Data-driven Advertising Agencies. In this instalment we cover how agency executives can benefit from their client's data to maintain a sustainable, future-proof business in times of digital transformation. Scaling your business with Marketing Intelligence Building a data strategy to stay ahead of the curve Mastering the end-to-end data management process Once you decide to master your data, you will be rewarded with deep, meaningful insights and happy long-term clients that get the most out of their data. We know it’s worth it! Signup and download the 28-page pdf-document to understand how data will secure your spot in the future advertising industry.
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity
Published By: SAS     Published Date: Mar 06, 2018
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Rick Styll, Senior Manager, Visual Analytics Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
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SAS
Published By: IBM     Published Date: Oct 19, 2017
The Smarter Process platform is IBM’s solution for reinventing business operations in a way that infuses every process with intelligence and expertise to deliver greater customer centricity, which in turn fuels top-line growth. It incorporates Business Process Management, Case Management, Operational Decision Management and Process Analytics, along with Process Discovery and Design with an objective of ensuring that customers find it easy to do business and that every interaction includes positive touch points. Within the context of this new imperative, accessing cloud efficiencies, leveraging mobile for greater engagement, mining big data for insights, and enhancing customer relationships via social media, are proving to be critical and interrelated strategies.
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customer engagement, mobile, social, bpm, case management
    
IBM
Published By: IBM     Published Date: Oct 03, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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data, enterprise resource planning, customer relationship management, business intelligence, data management systems
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage. The IBM® data replication portfolio is designed to address these issues through a highly flexible one-stop shop for high-volume, robust, secure information replication across heterogeneous data stores. The portfolio leverages real-time data replication to support high availability, database migration, application consolidation, dynamic warehousing, master data management (MDM), service
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ibm, infosphere, data replication, security, data storage
    
IBM
Published By: Epicor     Published Date: Jul 06, 2017
It’s hard to make good decisions without good information. Having access to data, and the tools to quickly analyze that data, is essential. Without data, you are blind to how your business is performing and areas for improvement—all you have to go on is instinct. A robust business intelligence (BI) system can provide new insights to help steer your distribution organization clear of obstacles that impede growth—and toward the opportunities that enable it. A monthly report just doesn’t cut it anymore. You need real-time information, and if you’re running legacy software, it’s probably slowing you down.
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erp software, enterprise resource planning software, business intelligence, distribution, inventory management, distribution software
    
Epicor
Published By: SAS     Published Date: Apr 25, 2017
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Andy Bitterer, Senior Director of Business Intelligence Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
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SAS
Published By: Esker     Published Date: Feb 03, 2017
Order processing is most efficient when manual touch points are minimized. But when orders come in by fax or email, what’s the best way to handle them? Read our eBook, Addressing Manual Order Management, to learn how 100% electronic order processing can be achieved via one universal automation platform. Download this eBook to discover how to: Make every order electronic Allow customers to send fax/emails Increase speed, visibility & accuracy Eliminate manual data entry Manage growth without adding staff
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best practices, business optimization, business management, productivity, business intelligence, business process automation, business process management
    
Esker
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: Microsoft     Published Date: Oct 07, 2016
Security was once largely limited to the confines of an on-premises world, but now it must extend to the cloud, as well as a myriad of mobile devices. Employees and companies now expect increasingly complex interactions with devices, apps, data, and even other users. As many companies struggle to keep up with traditional single-point solutions, and limited budgets, this pressure is creating security blind spots for IT. In a world of evolving threats, it is becoming increasingly impossible to address all of these issues with an on-premises solution.
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technology, best practices, data, enterprise, business analytics, business intelligence, business management
    
Microsoft
Published By: FICO     Published Date: Sep 02, 2016
The unifying concept that defines FICO and its substantial technology and solutions stack is Decision Management. This term has not yet become mainstream - but it will. All business analytics activities are performed with the single aim of improving the accuracy and efficiency of business decisions. This applies to business intelligence, data visualization, data mining, business rules management, and many other forms of analysis. Unifying these activities under a single discipline means that currently fragmented analytical efforts can be combined into a single whole, with benefits that will be discussed in this review.
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FICO
Published By: HPE_OMG_7.16     Published Date: Jul 22, 2016
The evolution of cloud infrastructures toward hybrid cloud models is inexorable, driven both by the requirement of greater IT agility and by financial pressures. A study by 451 Research reveals that the greatest barrier to cloud migrations is the twin challenges of security and compliance in the hybrid cloud space. Organizations are struggling with practical considerations, which can prevent them from achieving some of the most important and valuable benefits of hybrid cloud deployments. This report details a number of steps that organizations can take to set themselves squarely on a path to a secure and compliant hybrid cloud.
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security, compliance, hybrid cloud, best practices, cloud security, business intelligence, business management, cloud computing
    
HPE_OMG_7.16
Published By: HPE_OMG_7.16     Published Date: Jul 22, 2016
With many enterprises implementing a hybrid cloud environment to move applications to cloud, IT organizations must establish a decision-making framework for evaluating, deploying, and operating applications in the cloud. Businesses need to be able to deliver applications in the right way and on the right cloud, so IT organizations seek insight into setting policies for the best placement of applications across different cloud options. In this report, Gartner offers analysis and recommendations for moving traditional apps to private cloud and for brokering and managing apps across different private and public cloud options.
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technology, best practices, cloud computing, infrastructure, best practices, business intelligence, business management
    
HPE_OMG_7.16
Published By: HPE_OMG_7.16     Published Date: Jul 22, 2016
To achieve the full benefits from private cloud deployments for rapid infrastructure provisioning, I&O leaders should look beyond infrastructure to provide enhanced services that support development requirements.
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technology, best practices, infrastructure, business intelligence, business management
    
HPE_OMG_7.16
Published By: SAP     Published Date: Jul 18, 2016
To determine the status of Analytics and Business Intelligence in the Cloud, Enterprise Management Associates (EMA) embarked on an end-user research study to look at the current state of cloud-based analytics. Read the white paper to discover panelists’ insights on cloud-based analytics, business intelligence strategies, and implementation practices.
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SAP
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