analytical

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Published By: IBM     Published Date: Oct 17, 2017
Banks today are continuously challenged to meet rigorous regulatory requirements. They must implement strict governance programs that enable them to comply with a wide variety of regulations stemming from the financial crisis that began in 2007, including the DoddFrank Act, Basel Committee on Banking Supervision regulations, the General Data Protection Regulation (GDPR), the Revised Payment Services Directive (PSD2) and the revised Markets in Financial Instruments Directive (MiFID2). Many of these new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data
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IBM
Published By: IBM     Published Date: Oct 03, 2017
Many new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data. To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
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data aggregation, risk reporting, bank regulation, enterprise, reapportion budgets
    
IBM
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Organizations that want to apply consistent data management, governance and security practices across their organization can learn a lot from Ford Motor Company. Data-driven decision making led Ford Motor Company to perfect the vehicle assembly line in 1913. A century later, Ford had more than 4,600 data sources, and a wide range of analytical tools, methods, and processes in use throughout the company, and needed a more strategic approach to decision-making.
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Alteryx, Inc.
Published By: IBM APAC     Published Date: Aug 25, 2017
The world of business analytics is evolving rapidly, and while there are multiple emerging trends of note, two stand out as particularly impactful. First, there is an expanding and increasingly diverse audience of users that are becoming more analytically active. From mid-level Line-of-Business staff to senior executives on mahogany row, more users in more job functions are taking an increased level of ownership in the insight that fuels their decisions and the underlying data that supports that insight.
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data integration, data security, data optimization, data virtualization, database security
    
IBM APAC
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations? Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
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cost reduction, oracle database, it operation, online transaction, online analytics
    
Hewlett Packard Enterprise
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed, manufactures
    
Dassault Systèmes
Published By: FICO     Published Date: Jun 15, 2017
Using FICO solutions, BMW improved their customer experience and increased retention by implementing an analytically-driven, automated digital-lifecycle marketing and communications platform. This solution uses a multi-channel customer engagement approach to streamline and improve conversion across the customer lifecycle.
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FICO
Published By: IBM Watson Health     Published Date: Jun 14, 2017
Learn how IBM Watson Health clinical application advisors helped Floyd Health Care System take full advantage of the platform’s many benefits. Business Challenge As part of its journey toward population health management, Floyd wanted to optimize the way it used the IBM® Phytel® solution from IBM Watson Health™ and take advantage of its analytical tools. Transformation With help from an IBM Watson Health clinical application advisor, Floyd expanded its IBM solutions and used their unique capabilities to progress toward a more robust population healthcare model by adding care coordination activities and improving key process measures.
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floyd health care system, ibm, ibm watson health, analytics, healthcare
    
IBM Watson Health
Published By: SAS     Published Date: Jun 05, 2017
If you’re dealing with large amounts of data and complex problems, you might be ready to hire a data scientist. But what will you ask in the interview, and how will you evaluate the candidates? In this e-book, we provide 20 interview questions, so you can walk right into the interview knowing what to ask. We also profile three working data scientists, so you can better understand the backgrounds and habits of this new breed of analytical data expert. Whether you’re hiring your first data scientist or your fifteenth, we hope this e-book helps you find the right candidate.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"As more products and machines become connected, and analytical capabilities grow, new applications for the Internet of Things (IoT) will emerge. So too will manufacturers change how they make business decisions. This IndustryWeek Special Research Report gauges the current and planned usage of IoT technology and analytics by US manufacturers. It also explores how manufacturers can develop a specific IoT strategy and apply analytics more widely across their organizations to drive revenue, cut costs and innovate. "
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SAS
Published By: IBM     Published Date: May 12, 2017
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly. IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
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ibm, spss, data analysis, statistics, risk mitigation
    
IBM
Published By: Teradata     Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs. This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
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data projects, data volume, business data, cloud security, data storage, data management, cloud privacy, encryption, security integration
    
Teradata
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: SAS     Published Date: Apr 25, 2017
Are you a marketing leader on the path to modernizing your marketing organization? Are you a marketing analyst championing analytical transformation in your campaigns? If you answered yes to either question, this e-book is for you. It offers a practical account of how to create a new marketing culture that adds value through data and analytics. You’ll meet marketing leaders from Comerica, Lenovo, RCI, SAS and Visa – and read how they’re implementing analytics, redefining marketing strategies and transforming their cultures. By sharing their perspectives, we hope to provide a new set of best practices to guide your analytical transformation – and to help you reinvent your marketing organization for the digital age.
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SAS
Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making. Download this new paper to get the details behind self-service data analytics, and how it lets business analysts: Take charge of the entire analytical process, instead of relying on other departments Overcome limitations of legacy tools to save time and prevent errors Make more comprehensive and insightful business decisions at speed
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Alteryx, Inc.
Published By: IBM     Published Date: Feb 27, 2017
Why do organizations seek to design effective multi-channel customer journeys? Because customers today demand it. Download this research study from Hypatia Research Group to learn how global organizations are successfully utilizing various analytical techniques like descriptive, diagnostic, predictive, prescriptive and cognitive analysis to create a successful omni-channel customer journey.
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hypatia research group, cognitive analysis, predictive analysis, customer journey
    
IBM
Published By: Dell EMC     Published Date: Feb 23, 2017
While there are significant potential benefits to migrating to a hyper-converged system, true cost and real life experience are critical decision factors. To accurately establish a case for going to one platform or another, you need a strong fact-based analytical methodology and approach. Download this Edison Group white paper to better understand the cost and measureable effort benefits of hyper-converged appliances. Dive into the details for the VCE VxRail Appliance from Dell EMC, including total cost of ownership, total cost of acquisition and relative work efforts to install, initialize and maintain as compared to building your own system.
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Dell EMC
Published By: IBM     Published Date: Jan 30, 2017
Workforce analytics presents a world of opportunities to improve business effectiveness that we have only begun to explore. This report provides practical guidance on the critical 10 steps for the first 100 days of setting up an analytically enabled HR function.
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ibm, analytics, workforce analytics
    
IBM
Published By: Oracle     Published Date: Jan 12, 2017
Businesses today expect finance to play an extended role across departments, including IT, human resources, compliance, operations, sales, marketing, and most importantly, corporate strategy.To successfully deliver on this role, the finance function needs to play a bigger and visible role in real-time decision making and continuous planning. This report explores how, using cloud and analytics, finance leaders can leapfrog a few generations of technology and offer mature analytical feature/functionality and skills to the entire organization.
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Oracle
Published By: Cisco     Published Date: Dec 21, 2016
Self-service analytics implies that users design and develop their own reports and do their own data  analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik,  Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical  and visualization capabilities, they all support functionality for accessing and integrating data sources.  With respect to this aspect of data integration four phases can be identified in the relatively short history  of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools  Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and  enrich the self-service data integration capabilities of tools for reporting and analytics.  
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Cisco
Published By: Dell EMC     Published Date: Nov 04, 2016
While there are significant potential benefits to migrating to a hyper-converged system, true cost and real life experience are critical decision factors. To accurately establish a case for going to one platform or another, you need a strong fact-based analytical methodology and approach. Download this Edison Group white paper to better understand the cost and measureable effort benefits of hyper-converged appliances. Dive into the details for the VCE VxRail Appliance from Dell EMC, including total cost of ownership, total cost of acquisition and relative work efforts to install, initialize and maintain as compared to building your own system.
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storage, software, network, hardware, facilities
    
Dell EMC
Published By: IBM     Published Date: Oct 17, 2016
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
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ibm, analytics, spss, stats, modeler, predictive analytics
    
IBM
Published By: IBM     Published Date: Oct 17, 2016
Why do organizations seek to design effective multi-channel customer journeys? Because customers today demand it. Download this research study from Hypatia Research Group to learn how global organizations are successfully utilizing various analytical techniques like descriptive, diagnostic, predictive, prescriptive and cognitive analysis to create a successful omni-channel customer journey.
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ibm, commerce, analytics, customer analytics, insights, research, customer journey
    
IBM
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: IBM     Published Date: Aug 24, 2016
Join IBM SPSS experts for an overview of the SPSS Modeler platform as they discuss how SPSS Modeler can help you meet modern analytical challenges.
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ibm, analytics, spss, ibm spss, statistics, spss modeler, modeler
    
IBM
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