Teradata White Papers https://www.teradata.com/rss/White-Papers White Papers en-US White Papers Mon, 01 May 2017 16:42:20 GMT Vision Zero Government https://www.teradata.com/Resources/White-Papers/Vision-Zero-Government Vision Zero is a plan to use data and analytics, traffic design, policies, and other tools to reduce traffic deaths and severe accidents to zero. Enacted at both local and federal levels across the world, Vision Zero also aims to make traffic safety and accessibility equitable to all. Getting to this goal requires a robust data and analytics platform that can predict and prescribe many different types of actions. White Papers Thu, 10 Mar 2022 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Vision-Zero-Government Data Mesh https://www.teradata.com/Resources/White-Papers/Data-Mesh The undoubted value of being able to access, combine and share analytical data products across the enterprise is often diluted by the complexity and slow time to market to deliver them. The Data Mesh concept proposes a divide and conquer approach to accelerate the delivery of data and analytic products. While dividing large problem spaces into smaller, more tractable components is fundamental to success, organizations should proceed with caution to avoid creating a new generation of overlapping, redundant data silos. This whitepaper outlines practical steps to deploying the Data Mesh concept as an effective foundation for enterprise analytics. White Papers Thu, 30 Sep 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Data-Mesh From Good to Great: Overcoming the Data Challenge in Revenue Management https://www.teradata.com/Resources/White-Papers/Overcoming-Data-Challenge-in-Revenue-Management To accelerate performance and deliver new value streams in the post-pandemic world, revenue management teams need a scalable data foundation. That foundation must combine granular internal and external data sets and enable rapid analysis and targeted, timely insights. White Papers Mon, 13 Sep 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Overcoming-Data-Challenge-in-Revenue-Management Next-Gen Data Analytics for Telcos of the Future https://www.teradata.com/Resources/White-Papers/Next-Gen-Data-Analytics-for-Telcos-of-the-Future Find out how next-gen data analytics are helping Telcos of the future provide better a customer experience and gain new levels of insight. White Papers Tue, 03 Aug 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Next-Gen-Data-Analytics-for-Telcos-of-the-Future Vantage as a Google Cloud Managed Application Cloud Service Description https://www.teradata.com/Resources/White-Papers/Vantage-as-a-Google-Cloud-Managed-Application Deploying Teradata Vantage as a Google Cloud Managed Application establishes a Vantage environment in a customer-owned Google Cloud project that is dedicated to host the infrastructure for the Vantage as a Managed Application workload. With Vantage as a Google Cloud Managed Application, customers can access the same software capabilities provided in an on-premises Vantage system but in a Google Cloud environment that Teradata provisions and configures for the customer. This download includes both the Teradata Vantage Cloud Service Description, which applies to Vantage on all public cloud platforms on which it is available, and the Google Cloud Managed Application Addendum. White Papers Mon, 02 Aug 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Vantage-as-a-Google-Cloud-Managed-Application Data Analytics Will Drive 5G https://www.teradata.com/Resources/White-Papers/Data-Analytics-Will-Drive-5G The indispensable value of a scalable, open, flexible and end-to-end Network Data Analytics strategy for 5G networks. White Papers Thu, 22 Jul 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Data-Analytics-Will-Drive-5G Vantage on AWS Cloud Service Description https://www.teradata.com/Resources/White-Papers/Vantage-on-AWS-Cloud-Service-Description Deploying Teradata Vantage on AWS establishes a Vantage environment in a Teradata-owned AWS account and virtual private cloud. With Vantage on AWS, customers can access the same software capabilities provided in an on-premises Vantage system but in an AWS environment that Teradata provisions and configures for the customer. This download includes both the Teradata Vantage Cloud Service Description, which applies to Vantage on all public cloud platforms on which it is available, and the AWS Addendum. White Papers Wed, 23 Jun 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Vantage-on-AWS-Cloud-Service-Description Vantage on Azure Cloud Service Description https://www.teradata.com/Resources/White-Papers/Vantage-on-Azure-Cloud-Service-Description Deploying Teradata Vantage on Azure establishes a Vantage environment in a Teradata-owned Azure subscription. With Vantage on Azure, customers can access the same software capabilities provided in an on-premises Vantage system but in an Azure environment that Teradata provisions and configures for the customer. This download includes both the Teradata Vantage Cloud Service Description, which applies to Vantage on all public cloud platforms on which it is available, and the Azure Addendum. White Papers Wed, 23 Jun 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Vantage-on-Azure-Cloud-Service-Description Vantage on Google Cloud Service Description https://www.teradata.com/Resources/White-Papers/Vantage-on-Google-Cloud-Service-Description Deploying Teradata Vantage on Google Cloud establishes a Vantage environment in a Teradata-owned Google Cloud project. With Vantage on Google Cloud, customers can access the same software capabilities provided in an on-premises Vantage system but in a Google Cloud environment that Teradata provisions and configures for the customer. This download includes both the Teradata Vantage Cloud Service Description, which applies to Vantage on all public cloud platforms on which it is available, and the Google Cloud Addendum. White Papers Wed, 23 Jun 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Vantage-on-Google-Cloud-Service-Description Vantage as an AWS Managed Application Cloud Service Description https://www.teradata.com/Resources/White-Papers/Vantage-as-an-AWS-Managed-Application Deploying Teradata Vantage as an AWS Managed Application establishes a Vantage environment in a customer-owned AWS account that is dedicated to host the infrastructure for the Vantage as a Managed Application workload. With Vantage as an AWS Managed Application, customers can access the same software capabilities provided in an on-premises Vantage system but in an AWS environment that Teradata provisions and configures for the customer. This download includes both the Teradata Vantage Cloud Service Description, which applies to Vantage on all public cloud platforms on which it is available, and the AWS Managed Application Addendum. White Papers Wed, 23 Jun 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Vantage-as-an-AWS-Managed-Application Vantage as an Azure Managed Application Cloud Service Description https://www.teradata.com/Resources/White-Papers/Vantage-as-an-Azure-Managed-Application Deploying Teradata Vantage as an Azure Managed Application establishes a Vantage environment in a customer-owned Azure subscription that is dedicated to host the infrastructure for the Vantage as a Managed Application workload. With Vantage as an Azure Managed Application, customers can access the same software capabilities provided in an on-premises Vantage system but in an Azure environment that Teradata provisions and configures for the customer. This download includes both the Teradata Vantage Cloud Service Description, which applies to Vantage on all public cloud platforms on which it is available, and the Azure Managed Application Addendum. White Papers Wed, 23 Jun 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Vantage-as-an-Azure-Managed-Application Government of the Future https://www.teradata.com/Resources/White-Papers/Government-of-the-Future Governments will find better and more accurate ways to use data for implementing evidenced-based policymaking, identifying fraud, improving customer experiences, and streamlining operations. Sometimes this same data must also be made available to the public. Using data to improve government operations requires moving from a siloed, proprietary, and retrospective approach to a unified, available, and answer-oriented model that makes data the central focus of the agency. Every decision, every pivot, every objective, and every move should be driven by data. White Papers Mon, 14 Jun 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Government-of-the-Future Engineer a Data Mesh that Benefits Business and Technology. https://www.teradata.com/Resources/White-Papers/Engineer-a-Data-Mesh-that-Benefits-Business-and-Technology Take the first step to benefiting from a Data Mesh by filling out the form to the right and downloading the paper “An Engineering Approach to Data Mesh”. In this article, Stephen Brobst, CTO for Teradata, and Ron Tolido, EVP, CTO, and Chief Innovation Officer for Capgemini, share how to balance different design patterns and create separate schemas for each domain to implement a successful Data Mesh that enables a data-powered enterprise. This article first appeared in “ Data-powered Innovation Review | Wave 2, ” Capgemini, 2021 which includes 21 compelling articles around data, AI and innovation. White Papers Tue, 04 May 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Engineer-a-Data-Mesh-that-Benefits-Business-and-Technology 5G Analytics: Preparing for the Data Explosion https://www.teradata.com/Resources/White-Papers/5G-Analytics-Preparing-for-the-Data-Explosion With the advent of 5G communications, we are about to see digital transformation shift into hyperdrive due to the massive amount of data being produced with the blazing fast speed of 5G and all the new technology it enables. This means companies need the ability to capture and analyze 5G at scale. Learn to manage massive data volumes and create a scalable approach for 5G analytics. White Papers Tue, 04 May 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/5G-Analytics-Preparing-for-the-Data-Explosion 5G: Addressing the Data Explosion https://www.teradata.com/Resources/White-Papers/5G-Analytics-Leveraging-the-Data-Explosion Find out how to leverage the data brought about from 5G. White Papers Tue, 04 May 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/5G-Analytics-Leveraging-the-Data-Explosion Energy Companies can Accelerate to the Cloud Using Business Outcomes and OKRs White Paper https://www.teradata.com/Resources/White-Papers/Energy-Companies-Accelerate-Using-Business-Outcomes-and-OKRs Why should energy companies move to the cloud? The answer is simple - cloud provides technology accelerators to scale out solutions across the business and offers easy access to all employees across the organization. White Papers Thu, 29 Apr 2021 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Energy-Companies-Accelerate-Using-Business-Outcomes-and-OKRs Automating Advanced AI at Scale https://www.teradata.com/Resources/White-Papers/Automating-Advanced-AI-at-Scale WHITE PAPER Automating Advanced AI at Scale Using Teradata Vantage and AnalyticOps to gain sustainable value from Advanced Analytics White Papers Mon, 01 Mar 2021 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Automating-Advanced-AI-at-Scale Bring Your Own Model https://www.teradata.com/Resources/White-Papers/Bring-Your-Own-Model A new approach to successfully building and deploying predictive analytics at scale. White Papers Fri, 08 Jan 2021 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Bring-Your-Own-Model Teradata Vantage Total Cost of Ownership (TCO) Comparisons: On-Premises and Cloud https://www.teradata.com/Resources/White-Papers/Teradata-Vantage-TCO-Comparisons Teradata Vantage is unique in capabilities and deployment options. Customers with an existing, on-premises Teradata system naturally want to know how total cost of ownership (TCO) stacks up when their current system is nearing replacement. Should a legacy system be replaced with a newer one? If going to the cloud, should one implement on one's own or go with a fully managed service instead? This paper compares the three-year TCO of four scenarios: Status Quo = Maintain a previously purchased, earlier-generation Teradata system On-Premises = Replace the legacy system with Vantage on Teradata IntelliFlex Do-it-Yourself = Migrate to Vantage in the cloud and operate on one's own As-a-Service = Move to Vantage in the cloud but have Teradata manage the resources To ensure apples-to-apples comparisons, each scenario supports the same requirements, which are modest yet representative: Advanced tier software, 20 TCore, and 15 TB of customer data space (CDS). Summaries and detailed explanations are included. White Papers Fri, 04 Dec 2020 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Teradata-Vantage-TCO-Comparisons Efficiency, Productivity and Speed to Deployment https://www.teradata.com/Resources/White-Papers/Efficiency-Productivity-and-Speed-to-Deployment Using Teradata Enterprise Feature Store to Improve Machine Learning and AI Implementation White Papers Wed, 07 Oct 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Efficiency-Productivity-and-Speed-to-Deployment Advance your Analytics https://www.teradata.com/Resources/White-Papers/Advance-your-Analytics Machine learning and artificial intelligence (AI) are expected to drive a competitive advantage across most industries. Spending on these technologies has increased rapidly, yet the solutions are not realizing their full potential. Part of the problem is that organizations often lack the expertise to deploy these solutions at scale. Other barriers are a proliferation of tools, technologies, data silos, and "one-pipeline-per-machine-learning-process" thinking. Teradata's Analytics Strategy can solve these issues and enable organizations to get greater value from their data and advanced analytic solutions. The strategy notes that organizations can only successfully scale their machine learning and AI initiatives if they pay greater attention to feature reuse and model deployment. A second part of the strategy requires feature engineering and model scoring to be directly aligned with Teradata's core value propositions. Ubiquitous machine learning will see organizations deploying hundreds of millions of predictive models in production. Teradata Vantage™ has the ability to scale machine learning vertically by training models on more than 1 million observations, and scoring them against more than 250 million observations multiple times per day. It scales horizontally by training millions of predictive models to support so-called "hyper-segmentation" use cases and scoring them daily in demanding production settings. White Papers Wed, 07 Oct 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Advance-your-Analytics Forging the Future of Customer Experience - CMO Council and Teradata Research https://www.teradata.com/Resources/White-Papers/Forging-the-Future-of-Customer-Experience-CMO-Council-and-Teradata-Research To elevate CX, marketers know they must move beyond gut-driven activities and towards data-driven campaigns with measurable outcomes. But how far have they come in delivering on those data-driven dreams? According to a new report from Teradata and the CMO Council, "Forging the Future of Customer Experience," only 3 percent of marketers believe their organizations are effective in turning their customer data into insights and actions, while a shocking 36 percent admit they just don't have the data to know their consumers - let alone anticipate their needs. Download the report now to learn more about the challenges that data-driven marketers face, and what can be done to tackle them, with extensive survey data and exclusive interviews from top marketing leaders including: Boon Lai-VP of Global Partner Marketing, Cisco Scott McAllister-Former SVP Digital Customer Experience Transformation, Comcast Sebastian DiGrande-Former EVP, Strategy and Chief Customer Officer, GAP Liz Miller and Nicole France-VP and Principal Analyst, Constellation Research Suresh Balaji—Regional Head of Marketing, HSBC Martyn Etherington—Chief Marketing Officer, Teradata White Papers Mon, 14 Sep 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Forging-the-Future-of-Customer-Experience-CMO-Council-and-Teradata-Research Analytics 123: Enabling Enterprise AI at Scale https://www.teradata.com/Resources/White-Papers/Analytics-123-Enabling-Enterprise-AI-at-Scale Despite investments, hopes and expectations, many businesses are struggling to see returns from machine learning and AI projects. What lies behind this discrepancy between the promise and the delivery of AI and machine learning? The answer lies in the ability to deploy analytics at speed and scale. Machine learning and AI are first and-foremost a data problem. The importance of ‘Tidy Data’ and standardizing the structure and processing of analytic datasets has long been recognized but progress in this area has been hindered by a proliferation of tools, technologies, data silos and “one-pipeline-per-process” thinking. Teradata’s Analytics 123 strategy establishes a straightforward roadmap for both business and analytics leaders that creates robust, efficient and easily deployed processes that ensure machine-learning and AI projects live up to their promise and deliver real business value. Analytics 123 decouples the different elements of the analytics process and ensures appropriate weight is given to each: Stage one is feature engineering with reuse at its heart. Stage two gives data scientists the flexibility to use their preferred tools to create predictive models with value to the business. Stage three deploys those models to score live data. Features are engineered to be reused, documented and catalogued in an Enterprise Feature Store reducing duplication, increasing efficiency and consistency. Data scientists are freed to use the tools and languages they feel are best for each specific task—knowing that trained models can be easily ingested back into the enterprise to score live data in the Enterprise Feature Store. And that scoring can leverage the massively parallel, high-performance, enterprise scale capabilities of Teradata to drive real-world, business-critical analytics that can transform organisations. White Papers Tue, 08 Sep 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Analytics-123-Enabling-Enterprise-AI-at-Scale Unlock Unlimited Answers by Integrating Your Data https://www.teradata.com/Resources/White-Papers/Unlock-Unlimited-Answers-by-Integrating-Your-Data Unlock Unlimited Answers by Integrating Your Data Even though companies know they must be data driven to reach their goals and uncover actionable insights, most data in the enterprise is not used. One reason is because organizations are unsure how to optimize the massive volumes of data they're collecting every day. This limits the value of data, which in turn prevents companies from solving ongoing problems and achieving high-impact business outcomes. A survey found that 72% of C-level business and technology executives have not created a data culture at their companies. The path to data success requires companies to implement a solution for data reuse. This approach stores data once, but uses it repeatedly. Costs and time needed to acquire, transform, and utilize data are then minimized. Integrating data and analytics creates a strategic advantage by enabling companies to ask more questions, get more answers, and drive deeper insights. This empowers businesses to gain holistic visibility into their operations and customer experience, enabling them to improve revenue and market growth. Find out how data integration and multidimensional scalability allow more-and better—questions to be answered across all data for greater business impact. White Papers Tue, 25 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Unlock-Unlimited-Answers-by-Integrating-Your-Data Telco of the Future https://www.teradata.com/Resources/White-Papers/Telco-of-the-Future Telecommunication companies of the future will drive new value by utilizing a cloud data analytics platform with end-to-end data orchestration at hyperscale. They'll process trillions of interactions per month and more than 100 million queries per day. Telcos of the future will achieve groundbreaking capabilities by managing and optimizing data to drive success across their business and by delivering data analytics at scale in production. They'll have a cloud data analytics platform built for a hybrid multi-cloud reality. This intelligent platform has the ability to connect, integrate, and analyze billions or trillions of records each day from all areas of the business to get maximum insights. By utilizing massive data volumes, telcos will increasingly look like big tech companies in the way they treat data as a strategic asset that enables growth, different operation models, and decision-making processes. The telecommunications industry will also follow big tech's example of moving from customer segments of many people to delivering offers to a segment of just one person. Read the whitepaper to find out how the telco of the future is digital, hyperscalable, and customizable for a single customer. White Papers Tue, 25 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Telco-of-the-Future Making Data Your Greatest Asset https://www.teradata.com/Resources/White-Papers/Making-Data-Your-Greatest-Asset Too often, organizations are not unlocking the full value from their data. That's because it's in departmental silos, not integrated, and inaccessible to those who need it. Achieving maximum value requires companies to rethink their approach to data. It entails a shift from being business unit focused with data restricted to a single user or department to being enterprise focused that treats data as the most valuable corporate asset. It also requires moving from data silos that duplicate data sets to a reusable approach that stores data once, but uses it many times. Isolated data has limited value. By contrast, integrating data allows more answers and richer, deeper, more contextual insights that drive action. With the right cloud data analytics platform that offers multidimensional scalability, companies can optimize their data. That’s because this type of platform offers scalability across eight core dimensions: data volume, data latency, query data volume, query complexity, query concurrency, query response time, schema sophistication, and mixed workloads. Successful companies use data to guide every decision and every action. See how they solve the world’s most complex data challenges at scale using a platform built for a hybrid multi-cloud reality. White Papers Tue, 25 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Making-Data-Your-Greatest-Asset Enterprise of the future https://www.teradata.com/Resources/White-Papers/Enterprise-of-the-future Enterprises of the future will radically change how they use data. They'll integrate internal and external data on a modern cloud data analytics platform that is hyperscalable to drive every action, decision, and initiative to enable new growth and value. These companies will undertake an exponential change driven by a data transformation. They'll move from a siloed, proprietary, and retrospective data approach to a unified, available, and answer-oriented model that makes data the central focus of the business. The future of business demands new levels of speed, agility, flexibility, and innovation-and a cloud data analytics platform is the key to unlocking it all. This platform offers data orchestration at hyperscale, including multidimensional scalability across eight core dimensions, to enable the advanced capabilities enterprises of the future need to run millions of productionized models on trillions of interactions, every second of every day. The enterprise of the future is built on data. These companies use data as an asset to see, understand, and plan not only for what’s happening now, but what will happen next. See how in this whitepaper. White Papers Tue, 25 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Enterprise-of-the-future Financial Services of the Future https://www.teradata.com/Resources/White-Papers/Financial-Services-of-the-Future Financial services organizations are facing a threat from big tech companies. Big tech knows better than other industries how to gather and leverage massive volumes of data to identify and meet the needs of customers at an individual level. Google, Amazon, and others are already disrupting the financial services industry. To be competitive, financial services of the future must make data their most valuable asset and follow the example of big tech by engaging each customer individually. They must also leverage data orchestration and a modern data analytics platform to connect, integrate, and analyze billions or trillions of records each day from all areas of the business to get maximum insights. Traditional and even best-in-class approaches are no longer enough. Handling the complex data sets of the future requires an orchestrated approach to data. It also requires processes such as data preparation, making decisions based on data, and acting on those decisions to be handled with end-to-end automation and become 100% data driven. Read why the future of financial services belongs to organizations that treat and harness data as their greatest asset-and have the platform that delivers multidimensional scalability to meet current and future needs. White Papers Tue, 25 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Financial-Services-of-the-Future Data Orchestration at Hyperscale for Financial Services https://www.teradata.com/Resources/White-Papers/Data-Orchestration Financial services companies must follow the example of big tech if they want to drive new success and growth. Big tech understands how to optimize data, and they're moving into the financial services space. Data orchestration and advanced data analytics at hyperscale enable financial organizations to protect their market share against big tech competitors. A connected and orchestrated view of all data at scale gives financial services companies of the future the insights needed to meet current and emerging challenges across their entire business. The first step in gaining this view is taking a cloud-first approach that utilizes premier capabilities on a modern cloud data analytics platform that can hyperscale to deliver new levels of agility, compute power, and innovation. These capabilities support business models and the large, complex data sets of the future. They also help drive customer retention, business support, growth opportunities, and value at a scale that's never been achievable before in financial services. Find out how data orchestration at hyperscale empowers financial services organizations to meet current and future challenges, and identify new opportunities. White Papers Tue, 25 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Data-Orchestration Transforming Without Compromise: The Power of Multidimensional Scalability https://www.teradata.com/Resources/White-Papers/Transforming-Without-Compromise-The-Power-of-Multidimensional-Scalability Scale Without Compromise A successful digital strategy entails more than gathering large data volumes. It requires treating data as the most important business asset that's used to solve problems, innovate faster, inform decisions, and predict the future. Using data to predict a customer's latest preferences, when a machine part needs maintenance, or a new cost-cutting opportunity is more than a competitive advantage in today’s business environment. Optimizing data is now a necessity. Uncertainty in business can be expensive. It can be expensive in data analytics platforms, too. Organizations need to accurately predict the impact that adding hardware or users will have on a platform’s performance and cost. Many vendors define a scalable platform as a system that runs multiple queries and is able to meet future data growth needs. However, scalability must also consider important factors such as latency, performance, reliability, availability, and total cost of ownership. That’s why a more accurate definition of scalability considers eight domains that are essential for any data analytics platform. Find out how eight dimensions of scalability allow organizations to get actionable insights from massive data workloads. Companies can ask sophisticated and new questions of all their data to drive business outcomes and achieve their goals. White Papers Tue, 25 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Transforming-Without-Compromise-The-Power-of-Multidimensional-Scalability Orchestration at Hyperscale https://www.teradata.com/Resources/White-Papers/Orchestration-at-Hyperscale The future belongs to companies that use a cloud data analytics platform for data orchestration at hyperscale. They treat data as their most valuable asset and have the ability to scale to support trillions of interactions per month, millions of models, and more than 100 million queries every day. These companies have the platform and the data processes needed to be successful in a hybrid multi-cloud reality. Enterprises of the future must become a hyperscale business that follows data orchestration best practices. Hyperscale businesses have billions of users, customers, and connected devices. They leverage billions or trillions of interactions and data points to allow events with only a one-in-a-million probability to happen several times a day. The ability to hyperscale lets companies get answers faster across all data. That's because hyperscale enables size, speed, and connectivity to gather rapid feedback and drive greater growth. Orchestration at hyperscale ties together data, analytics, and processing while automating data-driven processes across the enterprise. This includes the preparation, management, and integration of all available data. Discover how data orchestration at hyperscale drives new business outcomes. White Papers Tue, 25 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Orchestration-at-Hyperscale Developing a Data Strategy: Seven Common Mistakes and How to Avoid Them https://www.teradata.com/Resources/White-Papers/Developing-a-Data-Strategy Companies tend to make the same common mistakes when creating their data and analytics program. See the seven strategic mistakes and the four steps to solve them. White Papers Thu, 06 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Developing-a-Data-Strategy A Strategic Approach to Enterprise Data Management https://www.teradata.com/Resources/White-Papers/A-Strategic-Approach-to-Enterprise-Data-Management A step-by-step approach to implementing a successful and valuable enterprise data management program that serves the entire business. This approach entails bringing in the right people, processes, and technologies to ensure ongoing success. White Papers Thu, 06 Aug 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/A-Strategic-Approach-to-Enterprise-Data-Management Dispelling the Myths and Reflecting on the Reality of Teradata's Legacy https://www.teradata.com/Resources/White-Papers/Dispelling-the-Myths-and-Reflecting-Reality It's a widely recognized industry phenomenon: as new competitors emerge, they often target the market leader in an attempt to increase adoption for their new technologies. They typically claim to have cheaper, faster, and easier-to-use solutions. It's also common for customers of established vendors to try the new technologies, especially since they are always looking for new ways to lower their costs and improve their performance. White Papers Wed, 20 May 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Dispelling-the-Myths-and-Reflecting-Reality Price Performance In Modern Cloud Database Management Systems https://www.teradata.com/Resources/White-Papers/Price-Performance-In-Modern-Cloud-Database-Management-Systems The pace of relational analytical databases deploying in the cloud are at an all-time high. And industry trends indicate that they are poised to expand dramatically in the next few years. The cloud is a disruptive technology, offering elastic scalability vis-à-vis on-premises deployments, enabling faster server deployment and application development, and allowing less costly storage. The cloud enables enterprises to differentiate and innovate with these database systems at a much more rapid pace than was ever possible before. For these reasons and others, many companies have leveraged the cloud to maintain or gain momentum as a company. The goal of this paper is to provide information to help a customer make the best decision, looking at factors in cloud data platform pricing - such as scope, scale, deployment, etc. - and how to determine the ultimate success metric when it comes to making a decision on a cloud data warehouse deployment – price-performance. White Papers Thu, 23 Apr 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Price-Performance-In-Modern-Cloud-Database-Management-Systems Better Safety, Better Business: Maintain Compliance and Drive Revenue https://www.teradata.com/Resources/White-Papers/Better-Safety-Better-Business-Maintain-Compliance-and-Drive-Revenue What's the benefit of collecting health, safety, security and environmental data when you can't act on it in real-time? See how having the right analytics platform in place to integrate data into a data hub for a single version of the truth can help oil and gas companies take critical, real-time steps toward predicting and preventing incidents while improving efficiency across the organization. Download the whitepaper today. White Papers Tue, 21 Apr 2020 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Better-Safety-Better-Business-Maintain-Compliance-and-Drive-Revenue Top 5 Considerations When Choosing a Hadoop Alternative https://www.teradata.com/Resources/White-Papers/Top-Five-Considerations-When-Choosing-a-Hadoop-Alternative Cut through the complexity and learn everything you need to know about choosing a Hadoop replacement. This free resource guide, Top 5 Considerations When Choosing a Hadoop Alternative, is a must-read if you want to: Migrate from Hadoop as quickly and pain-free as possible Improve performance and decrease complexity Future-proof your next investment Download the guide today and arm yourself with straight-forward advice to migrate with confidence. White Papers Thu, 05 Dec 2019 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Top-Five-Considerations-When-Choosing-a-Hadoop-Alternative Managed Disaster Recovery https://www.teradata.com/Resources/White-Papers/Managed-Disaster-Recovery Managed Disaster Recovery: Your Answer for Business Continuity White Papers Wed, 13 Nov 2019 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Managed-Disaster-Recovery From Oil and Water to Business Gold: When CFOs and CMOs Align Through Data https://www.teradata.com/Resources/White-Papers/When-CFOs-and-CMOs-Align-Through-Data What can help CMOs and CFOs bridge the gap and merge their agendas? The answer lies in data and analytics. Smart CMOs and CFOs find more potential revenue from existing customers through data and analytics. This paper examines reasons why CFOs and CMOs need to collaborate, how they can do it, and the benefits to the overall organization. Download this white paper from Forbes Insights and learn how CMOs and CFOs can join their agendas together through data and analytics today. White Papers Wed, 14 Aug 2019 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/When-CFOs-and-CMOs-Align-Through-Data Top 10 Ways Vantage is a Game Changer: The Complete Guide https://www.teradata.com/Resources/White-Papers/Top-10-Ways-Vantage-is-a-Game-Changer-Complete-Guide Teradata Vantage, the platform for Pervasive Data Intelligence, is the only software of its kind. It goes beyond what other analytic platforms offer to deliver new answers from all your data. Here are the top features and benefits Vantage delivers to transform the world's largest companies. Download now to get your copy of the "Top 10 Ways Vantage is a Game Changer: The Complete Guide." White Papers Wed, 14 Aug 2019 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Top-10-Ways-Vantage-is-a-Game-Changer-Complete-Guide Teradata Vantage for Azure https://www.teradata.com/Resources/White-Papers/Teradata-Vantage-for-Azure Enterprises want to do more with data via analytics, machine learning, and artificial intelligence. They're looking for ways to turn data into real, actionable business insights. Teradata Vantage for Azure can help. This white paper shows you how you can use Teradata as part of your hybrid cloud strategy to realize the most value from all your data. These insights are based on Teradata's decades of analytics expertise, coupled with the flexibility and global footprint of Microsoft Azure infrastructure. White Papers Tue, 14 May 2019 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Teradata-Vantage-for-Azure De-Risking Hybrid, Multi-Cloud Analytics https://www.teradata.com/Resources/White-Papers/De-Risking-Hybrid-Multi-Cloud-Analytics Businesses are still figuring out how to manage risk in the cloud. Following the positive, constructive program featured in this paper enables any organization to optimize the benefits of cloud while pragmatically controlling the risks inherent in moving decision support and analytic workloads to a cloud environment. White Papers Tue, 12 Feb 2019 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/De-Risking-Hybrid-Multi-Cloud-Analytics The Real Facts About Artificial Intelligence https://www.teradata.com/Resources/White-Papers/The-Real-Facts-About-Artificial-Intelligence Second in a series of white papers on the topics of Automating Intelligence, this document focuses on how artificial intelligence is a driving force behind analytical automation. White Papers Mon, 07 Jan 2019 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/The-Real-Facts-About-Artificial-Intelligence Distributing the Process https://www.teradata.com/Resources/White-Papers/Distributing-the-Process Teradata Vantage delivers the speed, scale, and flexibility to deliver genuine answers. Algorithms, AI, ML, and every other analytic process is just math—and Teradata is extremely good at math. If you know how to take advantage of its unique capabilities, like reframing the problem so that it can be broken down and done in parallel, and controlling that parallelism, Vantage can help you solve problems that seem too large to tackle. White Papers Mon, 17 Dec 2018 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Distributing-the-Process Thinking Beyond GDPR https://www.teradata.com/Resources/White-Papers/Thinking-Beyond-GDPR In the run-up to the implementation of the General Data Protection Regulation (GDPR), many consumers were bombarded with endless emails from organizations, highlighting new privacy policies or desperately seeking continued consent to be contacted for marketing purposes. As many commentators pointed out, some of these contacts were actually not compliant, either with the spirit or the letter of the regulation. Companies identify the minimum standard of technical compliance that they need to demonstrate to the various regulators and then look for the least disruptive way of meeting that minimum standard. In today’s digital world, where data underpins the viability of your business, levels of ambition ambition and resulting standards should be a lot higher. White Papers Fri, 02 Nov 2018 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Thinking-Beyond-GDPR The Growing Role of Specialty Drug in Healthcare https://www.teradata.com/Resources/White-Papers/The-Growing-Role-of-Specialty-Drug-in-Healthcare Healthcare is already the largest industry in the United States at $3.5T in 2017 – reaching 19% of our Gross Domestic Product (GDP), with total social impact in excess of $4.9T. The Center for Medicare and Medicaid Services (CMS) forecasts that annual healthcare spend will reach $5.5T by 2026 and account for almost one dollar out of every five spent in this country. The latest projection of trends for 2019 indicates an annual growth of 6%. According to CMS, the average annual rate of healthcare spending growth is projected to be one percentage point faster than our annual GDP growth rate through 2022. White Papers Mon, 27 Aug 2018 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/The-Growing-Role-of-Specialty-Drug-in-Healthcare Automating Intelligence - Developing an Organizational Culture to Maximize your Analytical Initiatives https://www.teradata.com/Resources/White-Papers/Automating-Intelligence-Developing-an-Organizational-Culture At most companies, the IT organization and business end users that they support are at odds with one another. This is not because they do not like each other personally, nor are they collectively trying to do a poor job. Rather, they are at odds with one another because they are incented (and thus, motivated) to strive for diametrically opposed success criteria. There is nothing inherently wrong with the focus of either group of constituents. However, there needs to be a cultural change to enable an environment of success. This is never easy but the following paper outlines one possible set of steps in driving towards this aim White Papers Thu, 26 Jul 2018 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Automating-Intelligence-Developing-an-Organizational-Culture The Consumer is Always Right: How Big Data can Transform the Digital Experience https://www.teradata.com/Resources/White-Papers/The-Consumer-is-Always-Right How leading brands are gaining insights from multi-channel customer interactions to improve customer engagement, customer experience and business efficiency. White Papers Tue, 19 Jun 2018 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/The-Consumer-is-Always-Right Automating Intelligence - Industrializing Analytics @ Enterprise Scale https://www.teradata.com/Resources/White-Papers/Automating-Intelligence-Industrializing-Analytics-Enterprise-Scale This document is part of a series of white papers that introduces a framework referred to has: AUTOMATING INTELLIGENCE. The framework is a pragmatic methodology for operationalizing analytics by looking at the processes, applications, and data architecture considerations necessary to build successful solutions in this domain. It is positioned as a journey and not all components need to fit into all use cases, but generally the framework provides a useful set of recommendations from which a series of guiding principles could be followed when trying to make analytics actionable. The framework is organized into three categories: Industrialized Analytics – the ability to take previous human interactions and use these to determine how current interactions should be defined and executed to encourage the necessary outcomes in an automated fashion, Multi-Dimensional Personalization – strategies, techniques, and solutions for making non-human interactions personal, and Data Management Solutions for Analytics – the architectural strategy to deal with all the data, analytical, and integration requirements necessary to operationalize analytics. This installment of the Automating Intelligence series deals with the first component of this framework, Industrialized Analytics. It does so by providing background on how the strategy was developed, the various analytical methods involved, how these methods map to an overall analytical process, and finally, how these factors fit into the overall context of the Automating Intelligence framework. Where applicable, real-world examples that outline how each relevant concept works are also provided. White Papers Fri, 18 May 2018 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Automating-Intelligence-Industrializing-Analytics-Enterprise-Scale The Future of Banking: A Five to Ten Year Horizon https://www.teradata.com/Resources/White-Papers/The-Future-of-Banking-A-Five-to-Ten-Year-Horizon The banking industry is changing more rapidly today than ever, driven by unprecedented shifts in consumer-driven behavior, intensified competition, and radically increased regulatory oversight. To maintain profitability, banks are transforming themselves to become more efficient, in control, trusted, analytically agile, and digital—all underpinned by improved analytical capabilities. White Papers Thu, 03 May 2018 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/The-Future-of-Banking-A-Five-to-Ten-Year-Horizon Smart Data Management is the Blueprint for Smart Cities https://www.teradata.com/Resources/White-Papers/Smart-Data-Management-is-the-Blueprint-for-Smart-Cities Smart cities must integrate and persist all available data, analyze it, and then use the insights to drive value across agencies, residents, and other constituents. Smart Data Management is the blueprint for smart cities. It’s what enables data sharing, new product creation, sustainable growth, cost savings, and other benefits. Smart Data Management supports all elements of a smart city, from next-generation accessibility to connecting citizens and visitors. White Papers Thu, 19 Apr 2018 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Smart-Data-Management-is-the-Blueprint-for-Smart-Cities Fighting Financial Crimes with Artificial Intelligence https://www.teradata.com/Resources/White-Papers/Fighting-Financial-Crimes-with-Artificial-Intelligence Global credit fraud reached $23 billion in 2016—which is only a small fraction of the upwards of $2 trillion in risk exposure to global financial systems due to a broad spectrum of financial crimes. As more transactions take place across different channels—from phones, tablets, ATMs, and beyond—the diversity of systems involved introduces a challenge of retaining the whole context of a transaction. This paper discusses the importance of integrating data and decisions across channels, and why it’s essential for effectively defending against the diversity and sophistication of evolving financial crimes. White Papers Mon, 09 Apr 2018 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Fighting-Financial-Crimes-with-Artificial-Intelligence Building The Sentient Enterprise - A Brief Guide on Analytic Innovation for the Future https://www.teradata.com/Resources/White-Papers/Building-The-Sentient-Enterprise-a-Brief-Guide-on-Analytic-Innovation This is a guide for executives and technology leaders to understand and utilize an analytics capability maturity model known as The Sentient Enterprise. Rather than a single prescription or methodology, The Sentient Enterprise charts an overall journey—a transformation of people, processes, and technologies—that large organizations can follow to mature their analytics capabilities for survival amid disruption and competitive advantage in today’s hyper-agile, data-driven world. White Papers Tue, 27 Mar 2018 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Building-The-Sentient-Enterprise-a-Brief-Guide-on-Analytic-Innovation Driving Forces For Taking Analytics Into the Cloud https://www.teradata.com/Resources/White-Papers/Driving-Forces-for-Taking-Analytics-into-the-Cloud More and more analytic ecosystems are making their way into the cloud. The opportunities for increased agility and the ability to reap benefits of extreme elasticity are compelling. When making the leap up into the cloud it is important to do so with both eyes wide open. The physics of the infrastructure will be different from what organizations are used to with on-premises. Moving data, storing data, and accessing data will come with a different set of physics when in the cloud as compared with traditional deployment. The laws of economics are also critical in understanding the overall effectiveness of analytics in the cloud. This white paper provides a framework for evaluating both the physics and the economics of different options for ecosystem deployment in the cloud. White Papers Wed, 28 Feb 2018 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Driving-Forces-for-Taking-Analytics-into-the-Cloud Teradata - Microsoft® Azure Reference IoT Architecture https://www.teradata.com/Resources/White-Papers/Teradata-Microsoft-Azure-Reference-IoT-Architecture Organizations are understandably excited about the immense value to be derived from harnessing the raw data gathered from the Internet of Things (IoT). IoT data can produce high-value insights, especially when processed with real-time and near real-time analytics. Whether the IoT devices are reporting from industrial processes, biometrics from medical devices, consumer behavior, or a spectrum of other realms, big data from IoT—whether analyzed on its own or combined with other sources or applications—can yield high-value metrics and insights. White Papers Wed, 20 Dec 2017 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Teradata-Microsoft-Azure-Reference-IoT-Architecture The Data Driven CFO https://www.teradata.com/Resources/White-Papers/The-Data-Driven-CFO CFOs are experiencing rapid, profound changes at the same time they face new business and C-suite demands to provide strategic leadership. The evolving CFO role places a renewed need for fact-based data analytics. The analytics give CFOs the insights to handle risk and compliance, identify financial disruptions, and gain lines of sight across finance. As their influence in the boardroom grows, CFOs can also use analytics to inform decision making. White Papers Wed, 22 Nov 2017 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/The-Data-Driven-CFO Bridging the Last Mile in Data Analytics: A Harvard Business Review Analytic Services Report https://www.teradata.com/Resources/White-Papers/Bridging-the-Last-Mile-in-Data-Analytics It’s been at least a decade since the business community first recognized the challenge of bridging the notorious “last mile” of data analytics—the gap between uncovering a data-driven insight and actually extracting value from it. For many organizations, though, the struggle continues. This report from Harvard Business Review Analytic Services explores the four key areas for change: Technology, People, Process and Strategy to realize the full promise of data and achieve high-impact business outcomes. White Papers Wed, 01 Nov 2017 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Bridging-the-Last-Mile-in-Data-Analytics Executive Primer: Path to Cloud for Analytics https://www.teradata.com/Resources/White-Papers/Executive-Primer-Cloud-for-Analytics There are many reasons to consider moving to the cloud, but with so many deployment options, vendors, and tools available, attaining maximum benefit can be tricky. This white paper provides real-world success stories and also explores the biggest challenges, concerns, myths, and benefits that executives should consider when transitioning to the cloud. White Papers Thu, 31 Aug 2017 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Executive-Primer-Cloud-for-Analytics Data Resilience with Fallback Protection https://www.teradata.com/Resources/White-Papers/Data-Resilience-with-Fallback-Protection Requirements for higher levels of availability have emerged for the analytics platform, which includes the Integrated Data Warehouse (IDW); and Data Resilience using the Teradata Vantage Advanced SQL Engine Fallback feature provides enhanced data protection. Fallback, automatically included on all new systems, enables the highest data availability possible for a single system and improves the availability of the database by reducing the overall downtime and improving recovery time objectives. Whether in the public cloud, private cloud, or managed cloud, on-premises with Teradata IntelliFlex™ or Teradata IntelliBase™, an analytic platform built on Teradata Vantage is completely protected. White Papers Thu, 15 Jun 2017 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Data-Resilience-with-Fallback-Protection The Teradata Healthcare Industry Data Model Overview & Application https://www.teradata.com/Resources/White-Papers/The-Teradata-Healthcare-Industry-Data-Model-Overview-Application The goal of this paper is to increase your awareness of how Teradata Healthcare Logical Data Model helps organizations obtain their big picture quicker and more accurately than building an EDM from scratch, thus permitting your organization to answer complex strategic and tactical business questions faster and more accurately. White Papers Thu, 23 Mar 2017 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/The-Teradata-Healthcare-Industry-Data-Model-Overview-Application Teradata Intelligent Memory https://www.teradata.com/Resources/White-Papers/Teradata-Intelligent-Memory Teradata Intelligent Memory is an innovative in-memory technology available with Teradata Database 14.10. This white paper describes Teradata Intelligent Memory, its benefits, and how it works. White Papers Wed, 08 Mar 2017 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Teradata-Intelligent-Memory The Data Lake Design Pattern: Realize Faster Time to Value with Less Risk https://www.teradata.com/Resources/White-Papers/The-Data-Lake-Design-Pattern-Realize-Faster-Time-to-Value-with-Less-Risk In this white paper, discover the faster time to value with less risk to your organization by implementing a data lake design pattern. A data lake is a collection of long-term data containers that capture, refine, and explore any form of raw data at scale, enabled by low-cost technologies that multiple downstream facilities can draw upon, such as data marts, data warehouses, and data products like recommendation engines. A new data lake design pattern compliments traditional design patterns such as the data warehouse. Organizations are starting to realize value from data lakes in the four areas described here. White Papers Thu, 28 Jul 2016 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/The-Data-Lake-Design-Pattern-Realize-Faster-Time-to-Value-with-Less-Risk Using R and Python in Teradata Vantage https://www.teradata.com/Resources/White-Papers/Using-R-and-Python-in-Teradata-Vantage R and Python are two of the most popular and influential open source scripting languages. Since the release of Teradata Database version 15.00, and now in the latest version of Teradata Vantage, it is possible to execute these scripting languages directly within the database engine, providing the performance and scalability required for analytics against exponentially growing data volumes, such as that generated by the Internet of Things (IoT). Using R and Python has never been easier, with Vantage. White Papers Thu, 12 May 2016 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Using-R-and-Python-in-Teradata-Vantage The Power of Presto: Open Source for the Enterprise https://www.teradata.com/Resources/White-Papers/The-Power-of-Presto-Open-Source-for-the-Enterprise Presto addresses a real need for a portable SQL on Hadoop tool. It is architected from the ground up for high performance interactive query processing. Open source is a fount of continual innovation, especially with regard to big data. In addition, there are strong tools that come with specific Hadoop distributions. The fact is that organizations will deploy multiple tools. For organizations moving toward a Unified Data Architecture, the rationale for adopting Presto is even stronger. White Papers Wed, 11 May 2016 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/The-Power-of-Presto-Open-Source-for-the-Enterprise Teradata Data Labs https://www.teradata.com/Resources/White-Papers/Teradata-Data-Labs Teradata Data Lab as a pragmatic option for promoting a governed and managed self-service experience for data scientists and business analysts. It says Data Lab helps IT organizations to achieve a pragmatic balance between the twin priorities of agility and governance. White Papers Wed, 06 Apr 2016 04:00:00 GMT https://www.teradata.com/Resources/White-Papers/Teradata-Data-Labs Analytics in Action with Teradata® In-Memory Optimizations https://www.teradata.com/Resources/White-Papers/Analytics-in-Action-with-Teradata-In-Memory-Optimizations This study discusses the business and technical impacts of in-memory optimization features in Teradata Database 15.10 through a large manufacturing customer’s experiences. White Papers Wed, 09 Mar 2016 05:00:00 GMT https://www.teradata.com/Resources/White-Papers/Analytics-in-Action-with-Teradata-In-Memory-Optimizations