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Published By: Cognizant     Published Date: Oct 23, 2018
As financial services firms embrace digital, they need business assurance strategies that extend conventional quality assurance methods to address the nuances of emerging technologies such as blockchain and advanced artificial intelligence (AI). At the same time, they also need assurance that their strategies can accommodate changes in the ever-shifting regulatory landscape wrought by the acceleration of digital within the core of their businesses. This white paper explores how financial firms can excel in digital by holistically addressing the quality of business processes built on disruptive technologies while assuring compliance to regulations.
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cognizant, finance, digital
    
Cognizant
Published By: Cognizant     Published Date: Oct 23, 2018
The implications of AI’s unique approach are profound: AI can learn by example rather than through brute-force programming; can understand human intention and emotions and act accordingly; and can handle extraordinarily complex relationships of data that are beyond the capability of human analysts working alone. AI can multiply what we currently do and take us to experiences we’ve never had before, at a speed and scale that will change entire industries. In these case studies, we’re pleased to present a range of real-world examples to guide your imagination. Here, you’ll find situations where companies like yours found AI to be part of the solution. These examples show how AI can enhance an existing application, workflow or process and reduce friction. This e-book presents how 10 organizations are using artificial intelligence to accelerate decision making, improve business processes, enhance user engagement, reduce costs and drive remarkable growth and profitability.
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cognizant, artificial intelligence
    
Cognizant
Published By: Intapp     Published Date: Jan 09, 2019
Intapp Time provides superior business intelligence thatchangesyour firm’sfundamental relationship with time.Thisunified suite of applications gives timekeepers access to time data and capture wherever they are: in the office, on a mobile device, online and offline.It is user-centric, offering a completely automated option while fullysupporting hands-on tracking—contemporaneous or reconstructionist.Intapp Time helps your business mine time data to reveal new sources of revenue, inform staff decisions, increase project efficiency, and reduce time leakage.
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business, business intelligence, time, tax, time for tax, intapp, applications, time data, automation, reporting, timekeeping, audit, accounting, consulting, professional services, active time capture, passive time capture, time tracking
    
Intapp
Published By: Intapp     Published Date: May 10, 2019
The Cornerstone of Financial Control Time equals money. Time plus data equals control. All professionals, whether in management, consulting, engineering, or accounting, must be confident that their value is reflected in their bottom line. One of the primary factors driving that compensation is the amount of time spent on a particular subject or client. But too often front line earners at those firms don’t provide the clean, data-rich timesheets needed to accurately gauge the effort required by each project.
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business, business intelligence, time, tax, time for tax, intapp, applications, time data, automation, reporting, timekeeping, audit, accounting, consulting, professional services, active time capture, passive time capture, time tracking
    
Intapp
Published By: Google     Published Date: Oct 26, 2018
As businesses have embraced application development, they have also adopted cloud technologies that provide their teams lesser reliance on hardware. In this sponsored Economist Intelligence Unit report, we look at the real-life experiences of over 1,000 business executives and understand the importance of close alignment between development teams, C-suite, and the wider business. Read the report and find out how you can manage application development to unlock its full potential.
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Google
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
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Oracle Analytics
Published By: Google     Published Date: Jan 24, 2019
As businesses have embraced application development, they have also adopted cloud technologies that provide their teams lesser reliance on hardware. In this sponsored Economist Intelligence Unit report, we look at the real-life experiences of over 1,000 business executives and understand the importance of close alignment between development teams, C-suite, and the wider business.
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Google
Published By: Dell & Microsoft     Published Date: Aug 14, 2013
Information is the engine of business growth in the digital age. Market intelligence, customer information, intellectual property and other data can be harnessed to create a quantifiable competitive advantage for a company and lay the path for future expansion. Yet as critical as data can be, the sweeping year-over-year proliferation in data volumes can quickly overwhelm an IT organization. This is much more than a budget problem: Without an effective data storage strategy, an organization is putting a critical resource at risk.
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data storage management, microsoft windows server, market intelligence, customer information, intellectual property, data, it organizations, storage strategy
    
Dell & Microsoft
Published By: IBM     Published Date: May 02, 2013
The enormous volume, velocity and variety of data flooding the enterprise, along with the push for analytics and business intelligence, is creating a massive challenge that is overwhelming traditional storage approaches. As the demand for capacity continues to escalate, companies must be able to effectively and dynamically manage the storage supply, but also the demand for storage resources. The key is to optimize the infrastructure through standardization and virtualization, and replace manual tasks with policy-based automation.
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optimize, storage, efficient, data center, analytics, business, virtualization
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
Building and managing cloud resiliency solutions in-house is difficult. Many organizations prefer to work with a third-party technology provider for the development and management of cloud solutions.
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cloud computing, business intelligence, cloud solutions, recovery point objectives, virtualization technologies, recovery solutions
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: IBM     Published Date: Jul 26, 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. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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scalability, data warehousing, resource planning
    
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: IBM     Published Date: Jun 13, 2018
In the digital era, businesses in every industry are becoming technology companies. New business models such as “product as a service” (in which traditional manufacturers and distributors are driving new revenue streams by integrating software-based services into their offerings) and new operational models, such as collaboration, social business, and mobile platforms, mean that nearly every company is deriving at least part of its revenue from cloudbased solutions. So, why are so many of these new cloud solution providers building their businesses on shaky foundations? The truth is, when your business is based in the cloud, you need more than on-demand leased compute and storage capacity. You need a cloud that is enterprise-grade, secure, and resilient. Equally important—and overlooked by too many cloud solution providers—you need a cloud platform that is able to grow your business into the future, supporting next-generation functionality like Artificial Intelligence (AI). No matter wh
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IBM
Published By: Blue Coat Systems UK     Published Date: Nov 03, 2011
ERP and Business Intelligence are essential to your success. Read this and learn how to improve productivity and decision-making using Blue Coat WAN
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blue coat, wan optimization, resource management, sap, erp, secure web gateway, application performance monitoring, netweaver, business objects, soa, optimization
    
Blue Coat Systems UK
Published By: Teradata     Published Date: Jan 28, 2015
Althrough Hadoop and related technologies have been with us for several years, most business intelligence (BI) professionals and their business counterparts still harbor a few misconceptions that need to be corrected about Hadoop and related technologies such as MapReduce. This webcast presents the 10 most common myths about Hadoop, then corrects them. The goal is to clarify what Hadoop is and does relative to BI, as well as in which business and technology situations Hadoop-based BI, data warehousing and analytics can be useful.
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teradata, business, intelligence, hadoop, data, integration, analytics, mapreduce, warehouse
    
Teradata
Published By: CA Technologies     Published Date: Jun 26, 2017
Privileged user accounts—whether usurped, abused or simply misused—are at the heart of most data breaches. Security teams are increasingly evaluating comprehensive privileged access management (PAM) solutions to avoid the damage that could be caused by a rogue user with elevated privileges, or a privileged user who is tired, stressed or simply makes a mistake. Pressure from executives and audit teams to reduce business exposure reinforces their effort, but comprehensive PAM solutions can incur hidden costs, depending on the implementation strategy adopted. With multiple capabilities including password vaults, session management and monitoring, and often user behavior analytics and threat intelligence, the way a PAM solution is implemented can have a major impact on the cost and the benefits. This report provides a blueprint for determining the direct, indirect and hidden costs of a PAM deployment over time.
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CA Technologies
Published By: CA Technologies     Published Date: Jun 01, 2018
Privileged user accounts—whether usurped, abused or simply misused—are at the heart of most data breaches. Security teams are increasingly evaluating comprehensive privileged access management (PAM) solutions to avoid the damage that could be caused by a rogue user with elevated privileges, or a privileged user who is tired, stressed or simply makes a mistake. Pressure from executives and audit teams to reduce business exposure reinforces their effort, but comprehensive PAM solutions can incur hidden costs, depending on the implementation strategy adopted. With multiple capabilities including password vaults, session management and monitoring, and often user behavior analytics and threat intelligence, the way a PAM solution is implemented can have a major impact on the cost and the benefits. This report provides a blueprint for determining the direct, indirect and hidden costs of a PAM deployment over time.
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CA Technologies
Published By: Micron     Published Date: Oct 14, 2016
Today’s IT professionals are well aware that users expect fast, reliable access to ever-growing amounts of data – from web content, to videos, to business intelligence data and more. Meeting the challenges of this exponential growth is nearly impossible with existing, spinning media storage technology. Hard disk drives (HDDs) have been the standard in data storage for decades, but they can no longer satisfy. They create bottlenecks in data access, they fail to meet the growing demands of higher user expectations, and they consume too much power. Download to learn how to solve this issue.
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Micron
Published By: Epicor Software Corporation     Published Date: Nov 03, 2016
Download the latest ERP Selection Guide designed based on our experience working with thousands of growing businesses all over the world.
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erp, erp system, enterprise resource planning, erp selection, erp evaluation, business system, epicor, tco, roi, customer support, erp vendor, finance software, manufacturing software, scm, accounting software, business intelligence, crm
    
Epicor Software Corporation
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: Attunity     Published Date: Feb 12, 2019
Read this checklist report, with results based on the Eckerson Group’s survey and the Business Application Research Center (BARC), on how companies using the cloud for data warehousing and BI has increased by nearly 50%. BI teams must address multiple issues including data delivery, security, portability and more before moving to the cloud for its infinite scalability and elasticity. Read this report to understand all 7 seven considerations – what, how and why they impact the decision to move to the cloud.
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cloud, business intelligence, analytics, cloud data, data lake, data warehouse automation tools, dwa, data warehouse, security and compliance, data movement, hybrid cloud, hybrid cloud environment, cross-platform automation, portability
    
Attunity
Published By: TIBCO Software     Published Date: May 31, 2018
Ask the average business user what they know about Business Intelligence (BI) and data analytics, and most will claim to understand the concepts. Few, however, will profess to know how analytics works or to have the skills needed to put it into practice. Despite being knowledgeable about their industry and experienced in running their organizations, the majority of business users lack expertise in analytics and visualization techniques—but that doesn’t stop them from wanting to have a go. This situation has led to ease of use and accessibility becoming the main focus for recent updates from all the leading BI vendors—but making tools easier and more widely accessible is only part of the answer. A better approach is to work both sides of the gap. To make tools that can empower business users to discover and unlock value in their data—and that extend capabilities for experts, so they can share the analytics workload, improve efficiency, and focus on higher level work. Unfortunately, the
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TIBCO Software
Published By: HERE Technologies     Published Date: Sep 27, 2018
Location has become paramount to building new apps, services, experiences and business models. If data is the new oil, then location is the crude oil. This is why most of the top location platform players have been developing technologies to power next-generation autonomous mobility systems. And the “richness” of location data and real-time intelligence are becoming strong monetization opportunities. The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors, including Google, TomTom and Mapbox. Learn why the HERE Open Location Platform – described as super-rich, always up-to-date, and a neutral offering – is a leader in the location data arena.
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HERE Technologies
Published By: Netsuite     Published Date: Jul 24, 2017
Baseball has always collected in-game data. However, until recently, fans didn’t have easy access to the various statistics that coaches used for key decisions important for the development of the players and success on the baseball field. It’s not unlike how traditional business intelligence is delivered. Data and reports are set aside for a few experts who determine what is important for you. Today, baseball statistics are widely available during broadcasts on TV, PCs and mobile devices. Basic data displays like inning and score are enhanced with metrics meaningful to students of the game, such as pitch speed, strikeout percentages and hit zones. It’s a good example of vital information being delivered in real-time, on demand and in context.
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Netsuite
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