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By: Affirm     Published Date: Sep 16, 2015
Millennials’ purchasing power will soon exceed that of every other generation, yet the key factors that influence their purchasing decisions are sometimes a mystery to merchants. Selling to Millennial consumers requires knowing these factors – and acting upon them. This article will help explain these factors and provide valuable actionable tips to help you succeed in converting Millennials to loyal customers.
Tags : purchase decisions, purchasing power, millennial consumers, customer loyalty, customer experience/engagement
     Affirm
By: Affirm     Published Date: Jan 05, 2016
Millennials’ purchasing power will soon exceed that of every other generation, yet the key factors that influence their purchasing decisions are sometimes a mystery to merchants. This article will help explain these factors and provide valuable actionable tips to help you succeed in converting Millennials to loyal customers.
Tags : affirm, millennials, purchase, decisions, ecommerce, conversions, e-commerce
     Affirm
By: Affirm     Published Date: Jan 22, 2016
Millennials’ purchasing power will soon exceed that of every other generation, yet the key factors that influence their purchasing decisions are sometimes a mystery to merchants. This article will help explain these factors and provide valuable actionable tips to help you succeed in converting Millennials to loyal customers.
Tags : affirm, millennials, purchase, decisions, ecommerce, conversions
     Affirm
By: Aflac     Published Date: Feb 15, 2013
Is your business prepared for important health care decisions in 2013? Navigate health care reform with Aflac’s Health Care Essentials.
Tags : health care reform, employer-sponsored health insurance, benefits, workforce, affordable care act, aca, ppaca, obama care
     Aflac
By: Aimia     Published Date: Jun 26, 2014
On any given day, you can ask every passenger on any given airliner what fare they’ve paid, and you’re likely to get as many different answers as the number of passengers willing (and able) to tell you. This plethora of fares is a product of complex revenue management systems evolved by airlines to optimize seat revenues. But is the current system of management the revenue endgame? Or is there an opportunity to look beyond traditional accept-or-reject decisions to build a more customer-centric revenue management system — one that builds on new customer insights to drive management decisions and uncover new sources of revenue?
Tags : aimia, marketing, customer loyalty, branding, brand recognition, cpg, customer relationships, crm solutions/software
     Aimia
By: Akamai Technologies     Published Date: May 05, 2017
To keep your organization and your data safe, it is crucial to consider forward-thinking approaches to cybersecurity. In this e-book, we discuss how you can augment your existing website infrastructure or within a data center with security measures in the cloud for a more robust security posture. We share Akamai’s approach to cloud security as well as those of other vendors. We then take a closer look at some commonly used, but sometimes misleading, metrics — so you can make more educated decisions about the best solutions for your needs.
Tags : cloud security, data, akamai
     Akamai Technologies
By: Akamai Technologies     Published Date: Aug 17, 2017
To keep your organization and your data safe, it is crucial to consider forward-thinking approaches to cybersecurity. In this e-book, we discuss how you can augment your existing infrastructure within the data center with security measures in the cloud for a more robust web security posture. We also share Akamai’s approach to cloud security as well as those of other vendors. We then take a closer look at some commonly used, but sometimes misleading, metrics — so you can make more educated decisions about the best solutions for your needs.
Tags : cloud security, buyer's guide, data safety, cybersecurity
     Akamai Technologies
By: Akamai Technologies     Published Date: Apr 13, 2018
How Lowe’s, a Fortune 50 retailer, transformed into a omnichannel commercial success with digital performance management. In this case study, learn how Lowe’s transformed into a performance culture and delivered: Over USD$1 billion in eCommerce sales driven with growth in traffic and conversion Slashed average page load speed by half Correlated site performance with sales impact using predictive analytics Established data-driven decision making for increased customer focus and revenue
Tags : lowes, omnichannel, foundation, akamai, digital, performance, management, ecommerce
     Akamai Technologies
By: Akamai Technologies     Published Date: Apr 25, 2018
How Lowe’s, a Fortune 50 retailer, transformed into a omnichannel commercial success with digital performance management. In this case study, learn how Lowe’s transformed into a performance culture and delivered: Over USD$1 billion in eCommerce sales driven with growth in traffic and conversion Slashed average page load speed by half Correlated site performance with sales impact using predictive analytics Established data-driven decision making for increased customer focus and revenue
Tags : lowes, omnichannel, foundation, akamai, digital, performance, management, ecommerce
     Akamai Technologies
By: Akamai Technologies     Published Date: Apr 25, 2018
How Lowe’s, a Fortune 50 retailer, transformed into a omnichannel commercial success with digital performance management. In this case study, learn how Lowe’s transformed into a performance culture and delivered: Over USD$1 billion in eCommerce sales driven with growth in traffic and conversion Slashed average page load speed by half Correlated site performance with sales impact using predictive analytics Established data-driven decision making for increased customer focus and revenue
Tags : lowes, omnichannel, foundation, akamai, digital, performance, management, ecommerce
     Akamai Technologies
By: Alteryx, Inc.     Published Date: Apr 21, 2017
The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools
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     Alteryx, Inc.
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.
By: Alteryx, Inc.     Published Date: Sep 06, 2017
In order to improve competitive advantage, decision making, and operational efficiencies, many of today’s leading organizations are creating an Office of the Chief Data Officer. According to Gartner, “90 percent of large companies will have a CDO role by the end of 2019”.
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     Alteryx, Inc.
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.
By: Alteryx, Inc.     Published Date: Sep 06, 2017
According to Forrester, the level of analytic satisfaction within organizations is on the decline.* The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools Find out how self-service data analytics bridges the gap across skills, speed, and depth of analysis to empower you to achieve ever-greater insights without coding or depending on other departments.
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     Alteryx, Inc.
By: Alteryx, Inc.     Published Date: Sep 07, 2017
Learn how organizations like Southwest Airlines are using self-service data analytics to make faster, more accurate decisions.
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     Alteryx, Inc.
By: Amazon Web Services     Published Date: Jun 02, 2017
Read 451 Research’s whitepaper to see how you can: - Increase agility and on-demand scalability - Get enterprise-grade security - Gain precision performance
Tags : cloud, cloud platform, amazon, aws, microsoft
     Amazon Web Services
By: Amazon Web Services     Published Date: Oct 09, 2017
The following insights should be used as a resource for Chief Financial Officers (CFOs) as they lead or support their organisation through a cloud adoption journey. It is designed to provide an overview of cloud adoption drivers, costs, risks, and benefits, as well as raise important questions about staffing and technology decisions that are critical to success. It is also intended to help inform business cases, while surfacing measurements and indicators specific to cloud environments that impact the bottom line. The foundational guidance provided is a collection of insights captured and distilled from direct conversations and engagements between Amazon Web Services (AWS) and customer CFOs representing an extensive range of industries.
Tags : global expansion, mergers and acquisitions, business agility, real estate, tax exposure, talent acquisition, operations investment
     Amazon Web Services
By: Amazon Web Services     Published Date: Feb 01, 2018
Machine learning is proving its power across virtually every industry in ways that add actionable insight and efficiency. But one can look at the rise of this transformative paradigm with a more focused lens to see AI technologies as a business tool of the highest order, one that improves processes and inspires new models. AI, in other words, has a big role to play on the balance sheet. Two leading brands in very different spaces — Capital One in financial services, John Deere in agriculture — are seeing efforts that stretch back decades come to fruition with the launch of cloud-based AI platforms. Capital One is developing digital products and experiences using machine learning to help millions of customers with their financial lives; John Deere’s Precision Agriculture solution helps farmers gain precise information about their machines and crops. In both instances, AI and a cloud platform combine to enable transformation.
Tags : digital, technologies, optimization, amazon
     Amazon Web Services
By: Amazon Web Services     Published Date: Feb 01, 2018
Moving Beyond Traditional Decision Support Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
Tags : predictive, analytics, data lake, infrastructure, natural language processing, amazon
     Amazon Web Services
By: Amazon Web Services     Published Date: Apr 28, 2018
Les technologies d'intelligence artificielle telles que l'apprentissage machine et le Deep Learning permettent d'obtenir des informations et de la précision à deux marques majeures dans des secteurs très différents : la santé et les assurances. Des théories sur les futures incidences de l'intelligence artificielle (IA) sur les entreprises et la société vont florissantes. Mais la réalité du terrain aujourd'hui pour les entreprises et les dirigeants appliquant des technologies comme l'apprentissage machine et l'apprentissage profond à leurs enjeux majeurs est déjà très enthousiasmante. Les modèles de fonctionnement sont refondés en se basant sur les informations obtenues de puissantes capacités cognitives. De nouveaux produits et services améliorent l'expérience client, voire la condition humaine. D'une façon très concrète et significative, l'IA change le monde pour le meilleur.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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     Amazon Web Services
By: Amazon Web Services     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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     Amazon Web Services
By: Amazon Web Services and Intel     Published Date: Oct 07, 2015
With the large amounts of data that are constantly being utilized in today’s highly digitized world, there is a necessity for top of the line infrastructure to maintain everything with precision. Download this case study to see how high performance cloud computing can enhance collaboration and see how it will allow for research to be shared easily and the ability to scale up when needed.
Tags : high performance cloud computing, collaboration, data
     Amazon Web Services and Intel
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