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Published By: Adobe     Published Date: Nov 02, 2018
In our 39-criteria evaluation of customer analytics solutions providers, we identified the nine most significant ones — Adobe, AgilOne, IBM, Manthan, NGDATA, Salesforce, SAP, SAS, and Teradata — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.
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Adobe
Published By: Adobe     Published Date: Nov 09, 2017
In our 40-criteria evaluation of enterprise marketing software suites (EMSS) providers, we identified the nine most significant ones — Adobe, Experian Marketing Services, IBM, Marketo, Oracle, Salesforce, SAP, SAS, and Teradata Marketing Applications — and researched, analyzed, and scored them. This report shows how each provider measures up and helps B2C marketing professionals make the right choice.
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Adobe
Published By: Adobe     Published Date: Nov 09, 2017
In our 32-criteria evaluation of real-time interaction management (RTIM) providers, we identified the 12 most significant ones — Adobe, Emarsys, FICO, IBM, IgnitionOne, Infor, Pegasystems, Pitney Bowes, Rocket Fuel, Salesforce, SAS, and Teradata — and researched, analyzed, and scored them. This report shows how each provider measures up and helps B2C marketing professionals make the right choice.
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Adobe
Published By: IBM     Published Date: Oct 01, 2013
In-depth Comparison of IBM Smart Analytics System 7700,Teradata Active Enterprise Data Warehouse and Oracle Exadata Database Machine.
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ibm, ibm smart analytics system, ibm smart analytics system 7700, it solutions, data warehouse, database, data management system, data mangementent, enterprise warehouse solutions, warehouse solutions
    
IBM
Published By: IBM     Published Date: May 03, 2016
In our 33-criteria evaluation of customer analytics vendors, we identified the 11 most significant software providers in this category - adobe, agilone, alteryx, angoss, FICo, IBM, Manthan, Pitney Bowes, saP, sas, and teradata - and researched, analyzed, and scored them. this evaluation details our findings about how well each vendor fulfills our criteria and where each vendor stands in relation to each other. this report will help customer insights (CI) professionals and marketers make the right choice for their customer analytics needs.
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ibm, forrester, customer analytics, customer insights, crm & customer care, customer experience/engagement
    
IBM
Published By: Netezza IBM US     Published Date: May 08, 2012
As you read this paper, temporarily put aside notions of how a database management system should work, and be open to new ways of thinking. Be prepared to do less, not more, to achieve a better result.
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teradata, netezza, ibm, data management, technology
    
Netezza IBM US
Published By: SAP     Published Date: Jan 04, 2010
There is growing evidence that more pervasive BI and analytics have a direct impact on competitiveness. Better decision making is more important when resources become restricted during a recession, so BI and analytics projects will still appeal to management. However, justifying large capital outlays for software will be challenging unless short-term benefits can be directly correlated with the investment.
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sap, data mart, business intelligence, analytics, business objects, supply chain, compliance, safety, stewardship, process industries, performance, risk, compliance, standardization, teradata, objectstm, business objects, ubm, edw
    
SAP
Published By: SnowFlake     Published Date: Jul 08, 2016
In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
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forrester, enterprise, data, technology, best practices, innovation, security
    
SnowFlake
Published By: SRC,LLC     Published Date: Jun 01, 2009
We work in an ever-changing landscape of competitors, market forces, customer relationships, partner alliances, political and regulatory pressures, and global climate effects. The common mechanism for coping effectively with change is to refer to canned reports and dashboards, dump reporting data into a spreadsheet and look for answers to today's questions. All too often, we have to rely on estimates rather than models, and gut feel rather than data, because we can't get answers in a timely fashion. Yet we know that the answers lie hidden in the morass of corporate data.
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business intelligence, src, capabilities, unified enterprise, spatial intelligence, alteryx, oracle, netezza, teradata, gui, ford, experian, sql
    
SRC,LLC
Published By: Teradata     Published Date: Oct 15, 2012
Does your organization struggle to get new business insights from all data types with rapid exploration?
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data scientists, analyst, statistician, quants, quantitative analyst, scientist, data science
    
Teradata
Published By: Teradata     Published Date: Jan 28, 2015
Althrough Hadoop and related technologies have been with us for several years, most business intelligence (BI) professionals and their business counterparts still harbor a few misconceptions that need to be corrected about Hadoop and related technologies such as MapReduce. This webcast presents the 10 most common myths about Hadoop, then corrects them. The goal is to clarify what Hadoop is and does relative to BI, as well as in which business and technology situations Hadoop-based BI, data warehousing and analytics can be useful.
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teradata, business, intelligence, hadoop, data, integration, analytics, mapreduce, warehouse
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
Our goal is to share best practices so you can understand how designing a data lake strategy can enhance and amplify existing investments and create new forms of business value.
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data lake, data warehouse, enterprise data, migration, enterprise use, data lake strategy, business value
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
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data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
Hadoop is the rising star of the business technology agenda for a simple reason — it disrupts the economics of data, analytics, and someday soon, all enterprise applications; it is secretly becoming an application platform too. Application development and delivery (AD&D) professionals should be aware of and take action on these eight predictions, including the disruptive power of “Hadooponomics,” Hadoop’s current killer app, the closing data management gap, and the emergence of brand new distros.
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hadoop, hadoop adoption, cornerstone, business technology, hadooponomics, enterprise adoption, applications
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
Enterprise Hadoop Implementation with Teradata and Hortonworks
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ncr, big data, data warehouse, enterprise hadoop, hadoop implementation, teradata, hortonworks, performance data
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
Big Data analytics are a top priority at many companies today. Most hope to derive new insights from all available data to improve productivity, cut costs, reduce churn, enhance the customer experience, and seize new business opportunities.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, framework, apache, hadoop, architecture, warehouse, optimization, security, scalability, consistency, flexibility
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
Data from the Internet of Things makes an integrated data strategy more vital than ever.
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teradata, internet, things, iot, data, warehouse, analytics, patchwork, value, development, integration, supply chain, inventory, sales, market demand, channel partners, deployment, hadoop, aster, discovery
    
Teradata
Published By: Teradata     Published Date: May 01, 2015
Creating value in your enterprise undoubtedly creates competitive advantage. Making sense of the data that is pouring into the data lake, accelerating the value of the data, and being able to manage that data effectively is a game-changer. Michael Lang explores how to achieve this success in “Data Preparation in the Hadoop Data Lake.” Enterprises experiencing success with data preparation acknowledge its three essential competencies: structuring, exploring, and transforming. Teradata Loom offers a new approach by enabling enterprises to get value from the data lake with an interactive method for preparing big data incrementally and iteratively. As the first complete data management solution for Hadoop, Teradata Loom enables enterprises to benefit from better and faster insights from a continuous data science workflow, improving productivity and business value. To learn more about how Teradata Loom can help improve productivity in the Hadoop Data Lake, download this report now.
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data management, productivity, hadoop, interactive, enterprise
    
Teradata
Published By: Teradata     Published Date: May 12, 2015
We evaluate vendors that provide applications that integrate executional, operational and analytical marketing processes. Companies seeking a solution that integrates campaign management, marketing resource management and analytics should review this research.
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Teradata
Published By: Teradata     Published Date: Feb 26, 2013
This survey and research report discusses shifts in the data management landscape and the movement to align data with operational and analytical workloads creating the best possible unified data architecture platform. Read on to learn more.
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big data, survey report, data management, landscape, movement, align data, operational and analytics workloads, business intelligence, terdata
    
Teradata
Published By: Teradata     Published Date: Feb 26, 2013
This report explores the evolution of big data analytics and its maturity within the enterprise. It discusses the approaches and economics to using a Discovery platform and Apache Hadoop within the same unified analytical architecture.
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big data analytics, experiences with teradata, apache hadoop, analytics, discovery platform, apache hadoop, teradata
    
Teradata
Published By: Teradata     Published Date: Feb 26, 2013
Business Insights Using Hadoop with SQL Analytics. Harness the value of big data analytics -- This report discusses a unified data architecture solution providing valuable insight from new and existing data.
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power of analytics, harnessing the value of big data, business intelligence, teradata, unified data architecture
    
Teradata
Published By: Teradata     Published Date: Feb 26, 2013
Data is now available, often in endless amounts, from many rich sources. This article discusses the answers to how organizations can thrive in this era of rich and boundless information using a Unified Data Architecture platform.
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gaining value from emerging data, nothing more than just the next step, data mining, unified data architecture platform, social media, mobile devices, marketing research
    
Teradata
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