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Teradata Reports 2018 First Quarter Results

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Teradata Reports 2018 First Quarter Results

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Teradata Reports Better Than Expected 2017 Results

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Teradata Reports Better Than Expected 2017 Third Quarter Results

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Teradata United States

Teradata Reports Better Than Expected 2017 Third Quarter Results

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Teradata Reports 2017 Second Quarter Results

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Teradata United States

Teradata Reports 2017 First Quarter Results

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Teradata United States

Teradata Delivers Industry-First License Portability Designed for the Hybrid Cloud

Simplified license tiers with bundled features, subscription-based licenses, and license portability help hybrid cloud quickly adapt to evolving business needs

Teradata (NYSE: TDC), the leading data and analytics company, today introduced innovative database license flexibility across hybrid cloud deployments, enabled through a consistent and simplified licensing model. Teradata’s new licensing model delivers:

  • Portability for deployment flexibility 
  • Subscription-based licenses
  • Simplified tiers with bundled features

With portable database licenses, Teradata customers now have the flexibility to choose, shift, expand, and restructure their hybrid cloud environment by moving licenses between deployment options as their business needs change. This new software licensing model is the first in the hybrid cloud market to feature portability — a shift away from cloud lock-in or siloed on-premises deployments.

Until now, hybrid cloud vendors have offered complex, inconsistent licensing models across deployment options that make it difficult for customers to select a solution that fits all needs. Teradata is changing the game with licensing flexibility and portability to ensure simplicity and consistency in support of agile, fast-growing businesses.

“The Teradata Database continues to be recognized as the leading data management solution for analytics in every performance parameter, and today we can also say it comes with the very best value proposition,” said John Dinning, Executive Vice President and Chief Business Officer, Teradata. “Not only is the database license portable across the hybrid cloud options, but so are workloads, enabled by a common code base in all deployments. This flexibility is a first in our industry and means that data models, applications, and development efforts can be migrated or transferred unchanged across any ecosystem.

“For example, a company may first develop their analytic solution on a Teradata IntelliFlex™ on-premises system and then seamlessly port the solution over to Teradata IntelliCloud™ . This will allow companies more options to develop and deploy the Teradata Database without having to worry about scaling their solution as their business and analytic needs grow.”

Subscription%20graphic%20for%20Licensing%20Flex Teradata Delivers Industry First License Portability Designed for the Hybrid Cloud

Teradata IntelliCloud™ is the next-generation secure managed cloud offering that provides data and analytic software as a service. It is available with new deployment choices including Teradata IntelliFlex™, the company’s flagship enterprise data warehouse platform that Teradata will deploy and manage in its own data centers, and global public cloud infrastructure from Amazon Web Services (AWS) and later, from Microsoft Azure.

In order to provide simplicity and portability across deployment options, Teradata licensing is based on a consistent metric. This metric is unique in that it takes into consideration not only the number of CPU cores available, but also how much data is fed to the CPU. This benefits customers by adjusting the licensing cost according to the performance potential of the system on which they are running. By using the metric calculation, Teradata can offer equivalent license portability across on-premises, public, private, and Teradata IntelliCloud configurations.

“By pairing the highest quality hybrid cloud solutions available with the most convenient usage model, Teradata is creating a blend of options for its customers that address the realities of rapidly evolving analytics capabilities and the emergence of new business requirements and models,” said Jim Curtis, Senior Analyst, Data Platforms and Analytics, 451 Research. “This is truly an example of fast-forward thinking; a win-win for Teradata as well as for aggressive companies that thrive and compete on business agility.”

Subscription-based licenses deliver on customer requests for lower up-front costs as well as smooth and consistent OPEX spending, making it easier for customers to budget and predict spending patterns.

These new subscription-based licenses come in four simplified tiers designed to meet customer requirements ranging from a free tier for database development to high-concurrency mixed-workload analytical systems, with new bundled features.

The four license tiers are:

  • Developer — This free tier is designed specifically for customers that are developing new applications in a non-production environment. The Developer tier is available in software-only versions on public cloud or as VMware to run on non-Teradata hardware.
  • Base — This plan is designed for low concurrency, entry-level data warehouses. It is available in the cloud and on-premises. 
  • Advanced — The Advanced tier supports high-concurrency, mixed-workload production environments. It includes powerful Teradata Integrated Workload Management and Teradata Intelligent Memory features. This option is available in the cloud and on-premises. 
  • Enterprise — This top-tier plan includes a more robust set of workload management features with Teradata Active System Management and Teradata Intelligent Memory. The Enterprise tier is available in the cloud and on-premises.
Software%20Decoupled%20graphic%20for%20Licensing Teradata Delivers Industry First License Portability Designed for the Hybrid Cloud

All the tiers come with the same version of Teradata database software. This enables the easy movement of workloads across tiers. All tiers also come with high-value database features bundled into the license to make it easy for customers to incorporate cutting-edge technologies and build sophisticated analytical environments. These features support Columnar, Temporal, Secure Zones, and Row-Level Security capabilities. Customers can leverage these features for improved performance, enhanced time-based analytics, more robust security and auditability at no additional cost.

Teradata’s new license model is available now.

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Game on: Teradata 2017 EPIC Awards Open for Best Business Cases

Call for game-changing customer or alliance partner ‘wow’ stories starts now; Winners honored at Teradata PARTNERS conference ‘orange-carpet event’

Teradata (NYSE: TDC), the leading data and analytics company, today announced that entries for the 10th annual EPIC Awards are being accepted now through June 16, 2017. Award winners and finalists will be honored at an exclusive ceremony held during the Teradata PARTNERS Conference, October 22-26 in Anaheim, California. In keeping with the conference theme, “The Edge of Next,” the Teradata EPIC Awards program recognizes customers and alliance partners who achieve outstanding business results through analytics. Government agencies are also invited to participate and will be evaluated based on their ability to effectively address constituent needs.

“The EPIC Awards Program recognizes organizations that are innovative in the use of data and analytics to drive game-changing business results,” said Chris Twogood, Vice President of Product and Services Marketing, Teradata. “The Teradata community has many champions in thought leadership who know how to turn data into profitable business growth. We are looking for customer and alliance partner use cases at every level, in every area of business, and across every industry. Teradata users demand, and deliver, world-class performance.”

Eligible customers are those businesses or government agencies whose submitted use case is derived from the use of any Teradata product or solution. The customer EPIC Award categories are listed below, shown with last year’s winners:

Customer Awards

Category: Analytical Excellence
Solutions that improve business decision making by increasing the accuracy or speed of business insights, and by delivering measurable improvements in revenue, organizational performance and/or productivity.

  • 2016 Winner: Anthem Inc.
  • Project: Client Information Insights (CII) 2.0 – Client Information Insights (CII) is a robust reporting and analytics solution for employers, brokers and consultants. 

Category: Big Data Excellence
Winners in this category are doing groundbreaking work to deliver business outcomes using big data, and/or data lakes with BI technologies and techniques.

  • 2016 Winner: China Merchants Bank
  • Project: Big Data Planning Project – This big data planning project focused on technical aspects, investigated business requirements and summarized big data use case categories.

Category: Customer Journey Excellence
Solutions in this class deliver customer insights from any channel and help drive customer engagement, response, or loyalty; and implementations that optimize data-driven marketing programs.

  • 2016 Winner: Southwest Airlines
  • Project: Customer Centricity Transformation (CCT) – Customer Data Warehouse (CDW) – This new technology is allowing Southwest Airlines to drive customer insights, improve customer acquisition and retention, dramatically expand customer segmentation and fully leverage its investment in its new reservation system.

Category: Collaboration and Innovation Excellence
This category honors a team of colleagues or a top Technologist or Business Leader (CIO, CMO, vice president or director) who generated a positive impact on the organization, leading integration of business and IT and the application of Teradata technology to improve his or her company’s business performance.

  • 2016 Winner: Ken Drake, Senior Director of Business Intelligence, Blizzard Entertainment – With a commitment to building strong teams, leveraging global resources and always putting the customer at the center, Ken successfully implemented the Teradata Unified Data Architecture from scratch in only six months.

Category: Integrated View of the Business
Solutions in this class deliver analytic insights by unifying the data ecosystem into a cohesive analytic environment on premises or in the public or private cloud, by harnessing data sources, data types and/or data structures across an organization.

  • 2016 Winner: Sanofi 
  • Project: Maestro – This is the first ambitious project where the customer built an agile clinical data warehouse to address the clinical trial challenges and high variability of the increasing data volume.

Category: On the Edge with Internet of Things (IoT)
By capturing and analyzing all types of sensor data from telematics and/or interconnected devices such as vehicles, meters, machines, weather devices, buildings, manufacturing lines, and shopping carts, this emerging breakthrough business application can monetize the industrial Internet of Things by changing business models, improving processes, exploiting new technologies, improving personal health, or enhancing the customer experience in new ways.

  • 2016 Winner: Siemens AG 
  • Project: Internet of Trains @ Siemens Mobility Services – Considered to be the leading IoT platform using the Teradata® Unified Data Architecture™, this platform represents a new, market-leading offering of data-driven insights, opening up a new customer segment that was previously not addressable.

Category: Operational Excellence
Implementations in this class use data and analytics to deliver measurable improvements in the organization’s operations, such as forecasting or anticipating customer demand; improving inventory management, supply chain visibility or increasing sustainable business practices and resource optimization.

  • 2016 Winner: United States Air Force
  • Project: Data-Driven Vehicle Management at United States Air Force – This program represents the nation’s 4th largest government vehicle fleet of over 78K assets valued at more than $ 7B. 

Integration & Consulting Partner (ICP) & Independent Software Vendor (ISV) Awards

Category: ICP & ISV Big Data Intelligence
Partners in this group will have leveraged one or more of Teradata’s platform technologies including Teradata, Teradata Aster, Hadoop, or any Teradata Cloud offering — to leverage new emerging data sources such as Web logs, sensor data, digital marketing optimization platforms, Web path analysis, or other advanced analytics for discovery and insight.

  • 2016 Winner (ICP): IBM Global Business Services
  • Project: Always-On CRM Analytics – This project provides one of the top four largest financial institutions in Australia with new insights into customer behavior and experience across the bank’s international divisions by combining banking data with external data through partnerships with other industries such as telecommunications, retail, insurance, industrials and financial organizations.
  • 2016 Winner (ISV): SAS
  • Project: Railway Advanced Analytics Platform – This customer from the SAS-Teradata partnership, a major transportation provider, is supported by an integrated portfolio of products in Teradata’s Unified Data Architecture. 

Category: ICP Business Insight
This award recognizes a partner who has developed and implemented a point solution — such as pre-built applications or an industry offer — that uses any analytic data platform, including Teradata, Teradata Aster, Hadoop and/or one of our analytic applications to deliver analytic insights to customers.

  • 2016 Winner (ICP): Capgemini and Coca-Cola Refreshments
  • Project: Predictive Ordering – This partner has been and is currently providing a host of services in multiple areas across the value chain, offering a tailored approach to deliver services and innovations enabled by a host of capability centers.

Category: ICP & ISV Enterprise Intelligence
This award recognizes a partner who has worked with a customer to build a company-wide solution leveraging a Teradata enterprise data warehouse to drive value.

  • 2016 Winner (ICP): Accenture
  • Project: Insights Data Lab – Over the past three years, this partner has assisted a mutual customer in moving from an IM Strategy to the selection of a new platform and the delivery execution for a new data foundation. Additionally in 2015, the first phase of a new strategy went into production with the development of an “Insights Data Lab” for advanced analytics.
  • 2016 Winner (ISV): Fuzzy Logix and Tesco
  • Project: Tesco Sales Forecasting Analytics – This partner and Teradata collaborated with a large retailer in Europe to implement a sales forecasting solution to accelerate forecasts, which can now be run multiple times per day and take into account multiple variables down to the store level.

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An Industry First: Teradata Debuts Open Source Kylo™ to Quickly Build, Manage Data Pipelines

Companies will benefit from simple, economical, accelerated data lake development; can focus talent on delivering high-impact business outcomes

Teradata (NYSE: TDC), a leading analytics solutions company, today announced a new and important contribution to the open source community that will deliver unprecedented efficiencies for companies creating data lakes. Teradata is introducing Kylo™, a data lake management software platform built using the latest open source capabilities such as Apache® Hadoop®, Apache Spark™ and Apache NiFi™. Kylo is a Teradata sponsored, open-source project that is offered under the Apache 2.0 license. Kylo evolved from code harvested from proven data lake engagements led by Think Big Analytics, a Teradata company, which will provide services and support for Kylo™.

With substantive experience creating business value from data lakes, Teradata is contributing Kylo™ to help organizations address the most common challenges they face in data lake implementation efforts. These include the central problem that data lakes simply take too long to build, and in the average 6-12 month build cycle, users find that use cases can become out of date and less relevant to quickly evolving businesses. Second, despite the lower cost of software, engineering costs quickly mount. Finally, a data lake, once created, may fail to attract users who find it difficult to explore, and so little value is realized.

Derived and developed from data lake deployments across industries, Kylo can easily help resolve these challenges, because it integrates and simplifies pipeline development and common data management tasks, resulting in faster time to value, greater user adoption and developer productivity. With Kylo, no coding is required, and its intuitive user interface for self-service data ingest and wrangling helps accelerate the development process. Kylo also leverages reusable templates to increase productivity.

“Many organizations find that implementing big data solutions on the Hadoop stack is a complex endeavor. Big data technologies are heavily oriented to software engineering, developers and system administrators,” said Nik Rouda, senior analyst with Enterprise Strategy Group (ESG). “Our research found 28 percent of organizations still struggle to staff teams with enough BI and analytics talent, much less big data and open source solution expertise. 77 percent of those surveyed say new big data initiatives will take between seven months and three years to show significant business value. It doesn’t have to be that way. I commend Teradata for open sourcing Kylo™ – an innovative and meaningful contribution.”

Encapsulating extensive experience from over 150 data lake engagements, Kylo™ helps organizations address the most common challenges they face in data lake implementation efforts, including:

- Skill shortage for experienced software engineers and administrators.
- Learning and implementing best practices around data lake governance.
- Driving data lake adoption beyond engineers.

When these challenges are overcome, high impact business outcomes are realized. In fact, Teradata has already helped many organizations save money and create new revenue streams from data lakes:

- A semiconductor manufacturer increased the yield quality of wafers; reducing waste, saving time, boosting output and thus increasing value to the business.
- An industrial equipment manufacturer enabled new service models, service-level agreements, intervention processes, and, notably, new revenue streams.
- A world-renowned research hospital reduced patient prep times, allowing doctors to treat more patients.

“Kylo is an exciting first in open source data lake management, and perfectly represents Teradata’s vision around big data, analytics, and open source software,” said Oliver Ratzesberger, Executive Vice President and Chief Product Officer, Teradata. “Teradata has a rich history in the development of many open source projects, including Presto and Covalent. We know how commercial and open source should work together. So we engineer the best of both worlds, and we pioneer new approaches to open source software as part of our customer-choice strategy, improving the commercial and open source landscape for everyone.”

Teradata’s vision for the blend of commercial and open source is recognized by customers, who continue to use Teradata to unleash their potential.

“At Discover® Financial Services, we are focused on leveraging leading-edge technology that helps us quickly bring products to market while providing exceptional customer service. Kylo™ has a unique framework that has the potential to accelerate development and value on new data sources that leverage Apache NiFi,” said Ka Tang, Director, Enterprise Data Architecture, Discover. “Kylo™ may provide an opportunity to leverage open source innovations while allowing the opportunity to give back to the open source community.”

“Open source software has an appeal to users seeking independence, cooperative learning, experimentation, and flexibility for customized deployments,” said Rick Farnell, President of Think Big, a Teradata company. “Our contribution is all about helping companies build a scalable data lake foundation that can continuously evolve with their business, technology data and analytical goals. We are removing impediments to use data to solve complex business problems and encouraging analytical users to contribute to the growing Kylo™ community. Going forward, our primary focus as a company is to help our customers create business value through analytics, rather than commodity capabilities. Kylo, along with our Teradata Everywhere approach to software and services, is a great example of our innovative strategy for the future.”

To this point, a major telecommunications company implemented Kylo™ after a large team of 30 data engineers spent months hand-coding data ingestion pipelines. Using Kylo, one single individual was able to ingest, cleanse, profile, and validate the same data in less than a week. Kylo™ not only improved data process efficiencies, it allowed those additional engineers to focus on multiple major business priorities.

Kylo software, documentation and tutorials are available now, via the Kylo™ project website: www.kylo.io – or the GitHub web site: — https://github.com/Teradata/kylo.

On request, Think Big offers these optional services, if required:

- Kylo™ support
- Kylo™ implementation services
- Kylo™ training
- Kylo™ managed services

“Kylo provides tooling on top of Apache NiFi to make it faster and easier to get data into your data lake,” said Scott Gnau, Chief Technology Officer, Hortonworks. “Hortonworks is pleased to announce Kylo’s certification with Hortonworks DataFlow and our expanded joint support relationship for NiFi.”

Teradata will play a leadership role in the governance, stewardship and community-building around open-source Kylo™.

Relevant Links
• Join the community, download Kylo today: CLICK to download
• Obtain Kylo services and support: The Think Big Analytics Kylo web page.
Enterprise Strategy Group research document, by Nik Rouda: Teradata open source technologies – an overview of strategy and history
• Think Big Expands Capabilities for Building Data Lakes with Apache Spark
• Teradata Acquires Big Data Partnership Consultancy, Expands Open Source Analytics Services
• Insights and Outcomes: How Teradata is Helping its Customers Capitalize on Data and Analytics

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