analytical

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Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
In this paper, we focus on the DWA and how it has evolved over the years since its introduction. The XDW architecture is then described, in which the need to maintain the data warehouse is documented while adding new components and capabilities to extend the analytical capabilities. This section also discusses the appropriate usage of appliances within the XDW. The rest of the paper covers the benefits from implementing the DWA, the selection considerations for them and what the future holds for them.
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Group M_IBM Q119
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q2'19
Published By: SAS     Published Date: May 24, 2018
Information on artificial intelligence (AI) is flooding the market, media and social channels. Without doubt, its certainly a topic worth the attention. But, it can be difficult to sift through market hype and grandiose promises to understand exactly how AI can be applied in practical and reliable solutions. Like most technological advances, incorporating new technology into business processes requires significant leadership and effective direction that all stakeholders can easily understand. Great leaders become great by balancing strategy with tactics, future vision with current reality and strengths with weaknesses all with the goal of accomplishing a clearly defined objective. Great leaders also understand that people are the most valuable resources within their organization. To drive and inspire their success, you must optimize strengths while recognizing inherent weaknesses. Many of our daily human experiences and interactions involve machines or devices of some sort. Technolo
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SAS
Published By: Oracle     Published Date: Nov 06, 2012
The purpose of this white paper is to take a time-to-business-value look at financial services data warehousing technologies with a focus on the selection process and how it should take deeper considerations of the real-world implementation hurdles.
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oracle, data, analytical data, data marts, industry-specific data warehouse, financial services
    
Oracle
Published By: Oracle     Published Date: Nov 06, 2012
The purpose of this white paper is to take a time-to-business-value look at financial services data warehousing technologies with a focus on the selection process and how it should take deeper considerations of the real-world implementation hurdles.
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oracle, data, analytical data, data marts, industry-specific data warehouse, financial services
    
Oracle
Published By: Oracle     Published Date: Jan 28, 2015
Retailers continue to collect this data and many have made good use of it, segmenting and targeting customers and rewarding loyal behavior with discounts and offers. Still, many sense that theres untapped potential. Theyre right. With the cost of data storage plummeting and the capabilities of analytical tools on the rise, this datas value is set to skyrocket. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail shares his view on how insights from these vast data storehouses can scientifically inform retailers decision-making in critical strategic, tactical and operational areas, including category management, shelf space allocation and new product introductions.
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Oracle
Published By: Teradata     Published Date: Feb 04, 2015
Optimize your customer experience with Teradata Integrated Marketing Cloud Teradata is recognized for vision, innovation and broad set of marketing capabilities. The 2014 Gartner Magic Quadrant for Integrated Marketing Management is an invaluable resource with insights that can help you execute your marketing initiatives.
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teradata, integrated, marketing, vendors, executional, operational, analytical, campaign
    
Teradata
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: TIBCO Software     Published Date: Sep 12, 2018
The Internet of Things (IoT) didnt just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoTbut one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: Reduced downtime Minimized surplus and defects Deep insights End-to-end real-time visibility
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internet of things, connected ecosystem, big data, operations monitoring, process control, analytical techniques
    
TIBCO Software
Published By: TIBCO Software     Published Date: Nov 12, 2018
The insurance industry stands on the precipice of change, with waves of innovation and disruption driving new possibilities across all departments, including pricing, underwriting, claims, and fraud. This webinar recording of a live panel debate is ideal for insurance professionals wanting to understand how best to unlock the possibilities created by advanced analytical techniques such as Artificial Intelligence (AI), Machine Learning (ML), and others. This TIBCO and Marketforce webinar on The Fourth Industrial Revolution in Insurance includes speakers Ian Thompson, chief claims officer at Zurich; David Williams, chief underwriting officer at AXA; and Clare Lunn, GI fraud director at LV=. The panel discusses: Moving towards the algorithmic insurer: the opportunities created by AI and ML How insurers can become more agile in the face of new innovations and disruptive technologies How the industry can turn structured and unstructured data into insights
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agile insurance, customer experience, digital initiatives, analytical techniques
    
TIBCO Software
Published By: TIBCO Software     Published Date: Oct 03, 2018
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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artificial intelligence, machine learning, dynamic pricing, predictive claims, real-time fraud, contextual customer experience, operational effectiveness
    
TIBCO Software
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: Oracle     Published Date: Apr 23, 2015
This white paper reveals how most advanced organisations are using predictive analytics to reveal where future opportunities lie, and to deploy resources and training accordingly.
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be insight-driven, insights, sales, data, social media, smart use of data, analytic, improve analytical capabilities
    
Oracle
Published By: SAP Inc.     Published Date: Jul 28, 2009
Learn how midsize companies are putting in place a business intelligence information infrastructure - making them more likely to adhere to their budgets and deadlines, concentrate on improving the overall business rather than just one department, and reward employees accordingly.
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sap, midsize, business intelligence, economy, soa, infrastructure, tco, total cost of ownership
    
SAP Inc.
Published By: Teradata     Published Date: Feb 26, 2013
This survey and research report discusses shifts in the data management landscape and the movement to align data with operational and analytical workloads creating the best possible unified data architecture platform. Read on to learn more.
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big data, survey report, data management, landscape, movement, align data, operational and analytics workloads, business intelligence
    
Teradata
Published By: Teradata     Published Date: Feb 26, 2013
This report explores the evolution of big data analytics and its maturity within the enterprise. It discusses the approaches and economics to using a Discovery platform and Apache Hadoop within the same unified analytical architecture.
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big data analytics, experiences with teradata, apache hadoop, analytics, discovery platform, apache hadoop, teradata, it management
    
Teradata
Published By: Birst     Published Date: Jul 16, 2013
This whitepaper first looks at the fundamental requirements that a BI solution should deliver to your company. Next, this whitepaper covers the 11 Key Questions that you should be asking of a future BI technology partner. When the BI provider can answer Yes to all of these questions, you have BI that is capable of fulfilling your analytical and reporting needs .
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics
    
Birst
Published By: Forcepoint     Published Date: Jun 06, 2019
In a recent study, IDC analyzed the business value and benefits of supporting network operations with Forcepoint NGFW solutions. The research included interviews with eight organizations relying upon Forcepoints NGFW to connect and protect their networks and business operations. IDC created a model based upon their analysis to identify the costs and real benefits of deploying Forcepoint NGFW. The highlights of this analytical model are captured in their Business Value Snapshot; and the complete results are available for download now in the IDC Quantifying the Operational and Security Results of Switching to Forcepoint NGFW Whitepaper. Download the Snapshot now Download the IDC Whitepaper now to learn how the eight organizations surveyed realized improved efficiency, availability and security with Forcepoint NGFW, as well as a return of cost in only seven months and an average 5-year ROI of 510%.
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Forcepoint
Published By: Yokogawa Corporation of America     Published Date: May 27, 2019
An Analytical Approach to Improving Safety & Efficiency Fired heaters are the largest energy consumer in the manufacturing sector, and represent a tremendous opportunity for energy savings. However, energy efficiency is not the only concern for fired heaters. Compliance and safety are continuous challenges. In this eBook we explain how to improve fired heaters safety and efficiency by controlling combustion using TDLS technology. Download it now and learn: The 4 top industry challenges related to fired heaters How to efficiently and safely manage combustion How TDLS technology can improve operational excellence in fired heaters Yokogawa's privacy notice for downloading contents.
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Yokogawa Corporation of America
Published By: Medidata     Published Date: Nov 10, 2017
Founded by physicians committed to advancing medical science, Worldwide Clinical Trials is out to change how the world experiences CROs. From early phase and bioanalytical sciences through late phase and post-approval, they provide full-service drug development services across a range of therapeutic areas, including neuroscience, cardiovascular diseases, immune-mediated inflammatory disorders (IMID) and rare diseases.
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Medidata
Published By: Tealeaf     Published Date: Mar 31, 2011
Given the increasing importance of connected channels to nearly all businesses and government functions, it is no wonder that analysis of these channels is getting more attention.
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tealeaf, advanced site optimization, web analytics, digital analysis application, analytics intelligence
    
Tealeaf
Published By: EMC Corporation     Published Date: Aug 05, 2014
Security operations centers need advanced analytical tools that can quickly collect and shift through security data. This brief looks at the latest options and processes to speed up detection of advanced threats.
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security, analytics, threats, security operations centers, security data, advanced threats, speeding up threat detection
    
EMC Corporation
Published By: Anaplan     Published Date: Nov 27, 2017
"The pressure on sales to meet and exceed ever-increasing revenue targets is higher than ever before. At the heart of this challenge lies a complex analytical and modeling problem that involves data spread across many rigidand usually disconnectedsystems, teams, and geographies. Leading companies handle this problem by focusing first on creating a sales performance plan that is data-driven and tied to business objectives. The research report conducted by Harvard Business Review provides you with how today's sales executives: Overcome technology weaknesses to uncover sophisticated analytics Change ingrained, cultural tendances of sales organizations Adopt dynamic practices to respond to change quicker"
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Anaplan
Published By: Monetate     Published Date: Jun 27, 2018
A robust testing and optimization program is critical to the success of any travel and hospitality online bookings and reservations engine. Discover how personalization can help you drive impact using your pre-exisiting creative and analytical assets. In this handy guide youll learn how Monetates testing, segmenting and optimization program helps travel and hospitality companies: Recognize visitors and customers across devices to deliver connected experiences. Optimize bookings funnels to raise bookings conversion rates and revenues. Segment customers to deliver truly customized content. Decrease the customers time to purchase by serving the right trip, excursion or reservation.
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Monetate
Published By: Tableau     Published Date: Apr 13, 2018
In this whitepaper, discover the benefits of expanding your analytics toolkit. Combine Excels data collection and management capabilities with Tableaus intuitive, analytical power to transform your raw data into actionable insights. Focus on the questions that take your data beyond the spreadsheet. Read more at about this partnership.
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Tableau
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