- The document is Teradata's first quarter 2014 investor presentation which provides an overview of the company's financial performance, products, technology capabilities, and strategy.
- Teradata positions itself as the leader in data warehousing and analytics, with the most scalable platforms to handle large and complex workloads.
- The presentation discusses Teradata's diverse product portfolio, partnerships, growth in key industries, and strong financials with consistent revenue growth and profitability.
This document provides an investor presentation for Teradata's third quarter of 2014. It includes the following key points:
- Forward-looking statements are subject to risks and uncertainties that could affect future results.
- Teradata offers various workload-specific platforms ranging from small data marts to exabyte-scale data warehouses to meet different analytics needs.
- Teradata has the broadest and most flexible Hadoop offerings in the market, including appliances for Hadoop and a discovery platform for big data analytics.
- Teradata is positioned as a leader in both the Gartner Magic Quadrant for Data Warehouse Database Management Systems and the Forrester Wave for Enterprise Data Warehouses.
- The presentation provides an overview of Teradata's business for investors, including key highlights from the first quarter of 2014.
- It discusses Teradata's product portfolio and data warehouse platforms, positioning Teradata as a leader in data warehousing and big data analytics.
- The presentation shows that Teradata has a diversified customer base across many industries and has experienced steady revenue growth in recent years.
- Teradata presented its second quarter 2015 results, highlighting its realigned structure into two divisions focused on data warehouse/analytics and marketing applications.
- It discussed its broad portfolio of workload-specific platforms and analytical ecosystem, noting industry-leading capabilities in scalability, performance, availability, and data handling.
- Financial results showed continued growth, a strong balance sheet and cash flow, and an increasing shift to recurring revenue streams.
This document is Teradata's second quarter 2014 investor presentation. It includes the following key points:
- Non-GAAP financial information and forward-looking statements are discussed with relevant disclosures.
- Teradata offers a unified data architecture and analytical ecosystem supporting various workloads and data types across its portfolio of workload-specific platforms.
- Teradata has the broadest and most flexible Hadoop offerings in the market to support customers' evolving analytics needs from reporting to predicting.
- Teradata is positioned as a leader in the data warehousing and marketing analytics spaces based on independent analyst reports.
This document provides an investor presentation for Teradata Corporation for the fourth quarter of 2014. It includes the following key points:
- Teradata has a unified data architecture that allows any user to access and analyze any type of data.
- Teradata offers a range of workload-specific platforms to meet different analytics needs, from small data marts to strategic intelligence systems handling petabytes of data.
- Teradata considers itself the leader in data warehousing according to independent analyst reports, and offers the most flexible Hadoop offerings in the market.
- The presentation provides an overview of Teradata's financial performance, industry focus, technology capabilities, and product portfolio to investors.
Alteryx q218 investor deck ir original format-final for websitealteryxinvestor
Alteryx provides a unified analytics platform that supports both business analysts and data scientists. The platform allows users to prepare, blend, analyze and model data from various sources through a drag-and-drop visual interface or APIs. It has over 200 tools and supports big data. Alteryx has a diverse customer base across many industries. Traditional methods of data analytics are slow and involve multiple separate tools, while Alteryx aims to provide an intuitive self-service experience for all users.
This investor presentation by Alteryx provides an overview of the company and its analytics platform. Key points include:
- Alteryx reported 50% revenue growth in Q1 2018 with a 132% net revenue retention rate and over 3,700 total customers.
- The Alteryx analytics platform unifies data preparation, blending, analysis, and predictive modeling into a single workflow without coding.
- Alteryx has expanded its platform through acquisitions and new product releases to support a range of use cases from citizen data scientists to data scientists.
- Alteryx serves a diverse base of blue chip customers across many industries and sees opportunities for continued growth through new customers, expanded use by existing customers, and international
This presentation provides an overview of Alteryx, Inc. and its analytics platform. Key points include:
- Alteryx provides a unified platform that supports both business analysts and data science use cases with over 200 tools.
- In 2017, Alteryx experienced 53% revenue growth and a dollar-based net revenue retention rate of 131%.
- The platform addresses challenges around managing diverse data sources and enables self-service analytics across the organization.
- Alteryx sees opportunities to grow its customer base of over 3,400 customers and expand into new markets.
This document provides an investor presentation for Teradata's third quarter of 2014. It includes the following key points:
- Forward-looking statements are subject to risks and uncertainties that could affect future results.
- Teradata offers various workload-specific platforms ranging from small data marts to exabyte-scale data warehouses to meet different analytics needs.
- Teradata has the broadest and most flexible Hadoop offerings in the market, including appliances for Hadoop and a discovery platform for big data analytics.
- Teradata is positioned as a leader in both the Gartner Magic Quadrant for Data Warehouse Database Management Systems and the Forrester Wave for Enterprise Data Warehouses.
- The presentation provides an overview of Teradata's business for investors, including key highlights from the first quarter of 2014.
- It discusses Teradata's product portfolio and data warehouse platforms, positioning Teradata as a leader in data warehousing and big data analytics.
- The presentation shows that Teradata has a diversified customer base across many industries and has experienced steady revenue growth in recent years.
- Teradata presented its second quarter 2015 results, highlighting its realigned structure into two divisions focused on data warehouse/analytics and marketing applications.
- It discussed its broad portfolio of workload-specific platforms and analytical ecosystem, noting industry-leading capabilities in scalability, performance, availability, and data handling.
- Financial results showed continued growth, a strong balance sheet and cash flow, and an increasing shift to recurring revenue streams.
This document is Teradata's second quarter 2014 investor presentation. It includes the following key points:
- Non-GAAP financial information and forward-looking statements are discussed with relevant disclosures.
- Teradata offers a unified data architecture and analytical ecosystem supporting various workloads and data types across its portfolio of workload-specific platforms.
- Teradata has the broadest and most flexible Hadoop offerings in the market to support customers' evolving analytics needs from reporting to predicting.
- Teradata is positioned as a leader in the data warehousing and marketing analytics spaces based on independent analyst reports.
This document provides an investor presentation for Teradata Corporation for the fourth quarter of 2014. It includes the following key points:
- Teradata has a unified data architecture that allows any user to access and analyze any type of data.
- Teradata offers a range of workload-specific platforms to meet different analytics needs, from small data marts to strategic intelligence systems handling petabytes of data.
- Teradata considers itself the leader in data warehousing according to independent analyst reports, and offers the most flexible Hadoop offerings in the market.
- The presentation provides an overview of Teradata's financial performance, industry focus, technology capabilities, and product portfolio to investors.
Alteryx q218 investor deck ir original format-final for websitealteryxinvestor
Alteryx provides a unified analytics platform that supports both business analysts and data scientists. The platform allows users to prepare, blend, analyze and model data from various sources through a drag-and-drop visual interface or APIs. It has over 200 tools and supports big data. Alteryx has a diverse customer base across many industries. Traditional methods of data analytics are slow and involve multiple separate tools, while Alteryx aims to provide an intuitive self-service experience for all users.
This investor presentation by Alteryx provides an overview of the company and its analytics platform. Key points include:
- Alteryx reported 50% revenue growth in Q1 2018 with a 132% net revenue retention rate and over 3,700 total customers.
- The Alteryx analytics platform unifies data preparation, blending, analysis, and predictive modeling into a single workflow without coding.
- Alteryx has expanded its platform through acquisitions and new product releases to support a range of use cases from citizen data scientists to data scientists.
- Alteryx serves a diverse base of blue chip customers across many industries and sees opportunities for continued growth through new customers, expanded use by existing customers, and international
This presentation provides an overview of Alteryx, Inc. and its analytics platform. Key points include:
- Alteryx provides a unified platform that supports both business analysts and data science use cases with over 200 tools.
- In 2017, Alteryx experienced 53% revenue growth and a dollar-based net revenue retention rate of 131%.
- The platform addresses challenges around managing diverse data sources and enables self-service analytics across the organization.
- Alteryx sees opportunities to grow its customer base of over 3,400 customers and expand into new markets.
This investor presentation provides an overview of Alteryx, Inc., a leading provider of self-service data analytics software. Key points include:
- Alteryx has experienced strong revenue growth of 52% year-over-year in Q3 2017 and has a diverse customer base of over 3,000 organizations.
- The company has a land-and-expand go-to-market strategy focused on customer retention, with a dollar-based net revenue retention rate of 133%.
- Alteryx provides an end-to-end analytics platform to support both business analysts and data scientists with an intuitive interface that requires no coding.
This webinar discusses leveraging embedded analytics for customer success. It covers:
1) The challenges of gaining visibility into customer data and implementing new capabilities for customer success products.
2) How embedded analytics can help ISVs quickly add new customer success capabilities to increase customer adoption and consumption by supporting the customer lifecycle.
3) Examples of how embedded analytics could help with communities, customer service, and professional services automation for customer success.
Open Analytics 2014 - Pedro Alves - Innovation though Open SourceOpenAnalytics Spain
Delivering the Future of Analytics: Innovation through Open Source Pentaho was born out of the desire to achieve positive, disruptive change in the business analytics market, dominated by bureaucratic megavendors offering expensive heavy-weight products built on outdated technology platforms. Pentaho’s open, embeddable data integration and analytics platform was developed with a strong open source heritage. This provided Pentaho a first-mover advantage to engage early with adopters of big data technologies and solve the difficult challenges of integrating both established and emerging data types to drive analytics. Continued technology innovations to support the big data ecosystem, have kept customers ahead of the big data curve. With the ability to drastically reduce the time to design, develop and deploy big data solutions, Pentaho counts numerous big data customers, both large and small, across the financial services, retail, travel, healthcare and government industries around the world.
How SAP HANA can provide value for Pharma R&DMarc Maurer
This document discusses how SAP's in-memory database HANA could help address challenges in pharmaceutical research and development. It outlines data management challenges in pharma R&D, how HANA addresses these challenges through its real-time analytics capabilities, and potential use cases for HANA in areas like genomics, clinical trials, and drug development. The document proposes starting a discussion between pharma R&D and SAP/HPI to explore how HANA could help solve existing problems or future challenges.
Pentaho Business Analytics for ISVs and SaaS providers in healthcarePentaho
The document discusses how business analytics capabilities are important for healthcare ISVs and SaaS providers to compete in the industry. It recommends that ISVs evaluate embedded business intelligence platforms to lower costs of goods sold over five years, improve customer adoption and satisfaction, and deliver more compelling products. The Pentaho OEM program is presented as an option for ISVs to gain world-class analytic capabilities for their offerings in a cost-effective manner through flexible business terms and a technology partner experienced in the healthcare sector.
Clustered regularly interspaced short palindromic repeats (CRISPR) represent a foundational technology that has enjoyed widespread adoption over the last two years and is one of the most exciting developments affecting the life science market. Researchers are pursuing a wide variety of applications ranging from agricultural bioengineering to therapeutic development. Numerous life science suppliers are racing to meet the growing demand for products based on the CRISPR/Cas9 system.
This report will focus on the following product categories:
- Design tools
- Plasmids and vectors
- Cas9 nucleases and guide RNAs
- Delivery systems
The Market for CRISPR/Cas9 Genome Editing
Products:
- Estimate market size, share and growth by region, industry segment and product category
- Understand the drivers of brand loyalty and compare brand performance
- Measure customer satisfaction with CRISPR/Cas9 products
- Highlight the strengths and weaknesses of competitors and their customers’ likelihood-to-switch
Predictive Analytics for Competitive Advantagevishwavijayps
This document discusses how Dr. Reddy's Laboratories uses predictive analytics to gain a competitive advantage. It describes two case studies: (1) using marketing mix modeling to optimize promotional strategies based on historical data, and (2) developing pricing and reimbursement strategies using claims data to understand patient costs and behaviors. It acknowledges challenges integrating diverse data sources for predictive modeling. Modern technologies like automated data integration and machine learning are proposed to enable real-time predictive modeling and recommendations.
This document discusses demand-driven forecasting and predictive analytics. It provides an overview of key concepts including:
- Demand-driven forecasting senses and responds to real consumer demand patterns rather than just historical trends. It uses predictive analytics to optimize operations.
- Predictive analytics can help uncover consumer behavior patterns, measure marketing effectiveness, and optimize financial performance through demand shaping and response simulations.
- Data mining techniques like classification, clustering, and predictive analysis are used to discover patterns in historical data that can predict future demand trends.
- Managing operations through analytics can improve decision making by basing discussions on data insights rather than just opinions. It typically requires major changes to organizational culture and processes.
Why Your Product Needs an Analytic Strategy Pentaho
The document discusses strategies for enhancing products with analytics capabilities. It outlines three strategic approaches: 1) enhance current software products with analytics, 2) target new opportunities using existing data through direct data monetization or new products/services, and 3) reinvent value propositions using new data technologies like big data. The document provides examples of implementing analytics capabilities for different user personas and considerations for analytics deployments. It argues that analytics can provide benefits like improved decisions, customer stickiness, and new revenue opportunities.
MongoDB IoT City Tour EINDHOVEN: Analysing the Internet of Things: Davy Nys, ...MongoDB
Drawing on Pentaho's wide experience in solving customers' big data issues, Davy Nys will position the importance of analytics in the IoT:
[-] Understanding the challenges behind data integration & analytics for IoT
[-] Future proofing your information architecture for IoT
[-] Delivering IoT analytics, now and tomorrow
[-] Real customer examples of where Pentaho can help
MSA Anonymous Patient-Level Clincial Laboratory Data 2013Al Rajeckas
MSA provides market analysis services using de-identified clinical laboratory data to help life sciences companies understand product markets. They offer access to HIPAA-compliant lab test ordering and results data, as well as services including market segmentation, competitive analysis, and marketing planning. MSA's laboratory data insights can help companies better target product development and marketing activities.
Tego, Inc. was awarded the 2016 New Product Innovation Award for its asset intelligence platform solution for the healthcare industry. The solution addresses challenges in healthcare supply chain management through a 3-layered system including intelligent chips, tags, and software. This allows any physical asset to be digitized and remotely tracked. Tego's solution helps reduce costs for hospitals through improved asset utilization and control. It also enables compliance with regulations through embedded data storage on devices. The solution represents an innovative approach to smart asset management through its design, data security, and cost-effective platform model.
This is a quick overview slides that will give readers an understanding about Microsoft's offering in the Data and Artificial Intelligence space.
For any questions, feel free to schedule a meeting or drop me a line.
VergilTM is a data analysis tool that provides "High-Definition Analytics" to gain better insights from large amounts of data. It can consider more data factors than other tools and uses different data types together. VergilTM explains its predictions and constantly updates them based on changing conditions. This allows companies using VergilTM to identify the specific actions that will optimize outcomes. Case studies show how VergilTM helped companies increase revenues and reduce costs by determining the best product investments and marketing strategies based on comprehensive data analysis.
Big Data Integration Webinar: Getting Started With Hadoop Big DataPentaho
This document discusses getting started with big data analytics using Hadoop and Pentaho. It provides an overview of installing and configuring Hadoop and Pentaho on a single machine or cluster. Dell's Crowbar tool is presented as a way to quickly deploy Hadoop clusters on Dell hardware in about two hours. The document also covers best practices like leveraging different technologies, starting with small datasets, and not overloading networks. A demo is given and contact information provided.
How to Load Data More Quickly and Accurately into Oracle's Life Sciences Data...Perficient, Inc.
Sponsors and CROs know the value of having a consolidated and regulatory-compliant data warehouse, such as Oracle’s Life Sciences Data Hub (LSH), as well as the importance of consistently loading data into that warehouse quickly and accurately.
However, as data structures from the source files change over time, it can be very time consuming to modify the data structure in the warehouse itself. Additionally, for the large groups of SAS datasets that are typical for a clinical trial, the out-of-the-box load times can be quite long, as the data is loaded one set at a time.
Perficient has the answer. In this webinar, we discussed and demonstrated an autoloader tool that greatly simplifies the data loading process for LSH. We showed how the autoloader can automatically load files, detect metadata changes, upgrade target structures, and load data, all with no human intervention. In addition, we demonstrated how Perficient’s autoloader tool can load multiple datasets in parallel to minimize load times.
30 for 30: Quick Start Your Pentaho EvaluationPentaho
These slides are from our recent 30 for 30 webinar tailored towards people that have downloaded the Pentaho evaluation and want to know more about all the data integration and business analytics components part of the trial, how to easily integrate data, and best practices for installing/developing content.
This document discusses MSA's services using de-identified HIPAA-compliant clinical laboratory data for targeted marketing analysis. MSA provides two levels of services: 1) Access to laboratory data tailored for clients' use and 2) Market analysis and planning to impact strategic plans and sales activities. MSA has access to unique laboratory datasets that can identify clinicians ordering diagnostic assays, offering insights into potential customers for brands.
- Teradata presented its second quarter 2015 investor presentation, which outlined its realigned business structure, leadership in analytics platforms, flexible Hadoop offerings, and ability to scale across multiple dimensions.
- It discussed its two new divisions, portfolio of workload-specific platforms, integrated marketing cloud solutions, and strong financial position with growing recurring revenue and consistent cash flow generation.
- Teradata presented its second quarter 2015 results, highlighting its realigned structure into two divisions focused on data warehouse/analytics and marketing applications.
- It discussed its portfolio of workload-specific platforms that scale from small to extremely large environments and its leadership in analytics according to Gartner and Forrester reports.
- Teradata has the broadest and most flexible offerings for Hadoop, including appliances and software-only options.
This investor presentation provides an overview of Alteryx, Inc., a leading provider of self-service data analytics software. Key points include:
- Alteryx has experienced strong revenue growth of 52% year-over-year in Q3 2017 and has a diverse customer base of over 3,000 organizations.
- The company has a land-and-expand go-to-market strategy focused on customer retention, with a dollar-based net revenue retention rate of 133%.
- Alteryx provides an end-to-end analytics platform to support both business analysts and data scientists with an intuitive interface that requires no coding.
This webinar discusses leveraging embedded analytics for customer success. It covers:
1) The challenges of gaining visibility into customer data and implementing new capabilities for customer success products.
2) How embedded analytics can help ISVs quickly add new customer success capabilities to increase customer adoption and consumption by supporting the customer lifecycle.
3) Examples of how embedded analytics could help with communities, customer service, and professional services automation for customer success.
Open Analytics 2014 - Pedro Alves - Innovation though Open SourceOpenAnalytics Spain
Delivering the Future of Analytics: Innovation through Open Source Pentaho was born out of the desire to achieve positive, disruptive change in the business analytics market, dominated by bureaucratic megavendors offering expensive heavy-weight products built on outdated technology platforms. Pentaho’s open, embeddable data integration and analytics platform was developed with a strong open source heritage. This provided Pentaho a first-mover advantage to engage early with adopters of big data technologies and solve the difficult challenges of integrating both established and emerging data types to drive analytics. Continued technology innovations to support the big data ecosystem, have kept customers ahead of the big data curve. With the ability to drastically reduce the time to design, develop and deploy big data solutions, Pentaho counts numerous big data customers, both large and small, across the financial services, retail, travel, healthcare and government industries around the world.
How SAP HANA can provide value for Pharma R&DMarc Maurer
This document discusses how SAP's in-memory database HANA could help address challenges in pharmaceutical research and development. It outlines data management challenges in pharma R&D, how HANA addresses these challenges through its real-time analytics capabilities, and potential use cases for HANA in areas like genomics, clinical trials, and drug development. The document proposes starting a discussion between pharma R&D and SAP/HPI to explore how HANA could help solve existing problems or future challenges.
Pentaho Business Analytics for ISVs and SaaS providers in healthcarePentaho
The document discusses how business analytics capabilities are important for healthcare ISVs and SaaS providers to compete in the industry. It recommends that ISVs evaluate embedded business intelligence platforms to lower costs of goods sold over five years, improve customer adoption and satisfaction, and deliver more compelling products. The Pentaho OEM program is presented as an option for ISVs to gain world-class analytic capabilities for their offerings in a cost-effective manner through flexible business terms and a technology partner experienced in the healthcare sector.
Clustered regularly interspaced short palindromic repeats (CRISPR) represent a foundational technology that has enjoyed widespread adoption over the last two years and is one of the most exciting developments affecting the life science market. Researchers are pursuing a wide variety of applications ranging from agricultural bioengineering to therapeutic development. Numerous life science suppliers are racing to meet the growing demand for products based on the CRISPR/Cas9 system.
This report will focus on the following product categories:
- Design tools
- Plasmids and vectors
- Cas9 nucleases and guide RNAs
- Delivery systems
The Market for CRISPR/Cas9 Genome Editing
Products:
- Estimate market size, share and growth by region, industry segment and product category
- Understand the drivers of brand loyalty and compare brand performance
- Measure customer satisfaction with CRISPR/Cas9 products
- Highlight the strengths and weaknesses of competitors and their customers’ likelihood-to-switch
Predictive Analytics for Competitive Advantagevishwavijayps
This document discusses how Dr. Reddy's Laboratories uses predictive analytics to gain a competitive advantage. It describes two case studies: (1) using marketing mix modeling to optimize promotional strategies based on historical data, and (2) developing pricing and reimbursement strategies using claims data to understand patient costs and behaviors. It acknowledges challenges integrating diverse data sources for predictive modeling. Modern technologies like automated data integration and machine learning are proposed to enable real-time predictive modeling and recommendations.
This document discusses demand-driven forecasting and predictive analytics. It provides an overview of key concepts including:
- Demand-driven forecasting senses and responds to real consumer demand patterns rather than just historical trends. It uses predictive analytics to optimize operations.
- Predictive analytics can help uncover consumer behavior patterns, measure marketing effectiveness, and optimize financial performance through demand shaping and response simulations.
- Data mining techniques like classification, clustering, and predictive analysis are used to discover patterns in historical data that can predict future demand trends.
- Managing operations through analytics can improve decision making by basing discussions on data insights rather than just opinions. It typically requires major changes to organizational culture and processes.
Why Your Product Needs an Analytic Strategy Pentaho
The document discusses strategies for enhancing products with analytics capabilities. It outlines three strategic approaches: 1) enhance current software products with analytics, 2) target new opportunities using existing data through direct data monetization or new products/services, and 3) reinvent value propositions using new data technologies like big data. The document provides examples of implementing analytics capabilities for different user personas and considerations for analytics deployments. It argues that analytics can provide benefits like improved decisions, customer stickiness, and new revenue opportunities.
MongoDB IoT City Tour EINDHOVEN: Analysing the Internet of Things: Davy Nys, ...MongoDB
Drawing on Pentaho's wide experience in solving customers' big data issues, Davy Nys will position the importance of analytics in the IoT:
[-] Understanding the challenges behind data integration & analytics for IoT
[-] Future proofing your information architecture for IoT
[-] Delivering IoT analytics, now and tomorrow
[-] Real customer examples of where Pentaho can help
MSA Anonymous Patient-Level Clincial Laboratory Data 2013Al Rajeckas
MSA provides market analysis services using de-identified clinical laboratory data to help life sciences companies understand product markets. They offer access to HIPAA-compliant lab test ordering and results data, as well as services including market segmentation, competitive analysis, and marketing planning. MSA's laboratory data insights can help companies better target product development and marketing activities.
Tego, Inc. was awarded the 2016 New Product Innovation Award for its asset intelligence platform solution for the healthcare industry. The solution addresses challenges in healthcare supply chain management through a 3-layered system including intelligent chips, tags, and software. This allows any physical asset to be digitized and remotely tracked. Tego's solution helps reduce costs for hospitals through improved asset utilization and control. It also enables compliance with regulations through embedded data storage on devices. The solution represents an innovative approach to smart asset management through its design, data security, and cost-effective platform model.
This is a quick overview slides that will give readers an understanding about Microsoft's offering in the Data and Artificial Intelligence space.
For any questions, feel free to schedule a meeting or drop me a line.
VergilTM is a data analysis tool that provides "High-Definition Analytics" to gain better insights from large amounts of data. It can consider more data factors than other tools and uses different data types together. VergilTM explains its predictions and constantly updates them based on changing conditions. This allows companies using VergilTM to identify the specific actions that will optimize outcomes. Case studies show how VergilTM helped companies increase revenues and reduce costs by determining the best product investments and marketing strategies based on comprehensive data analysis.
Big Data Integration Webinar: Getting Started With Hadoop Big DataPentaho
This document discusses getting started with big data analytics using Hadoop and Pentaho. It provides an overview of installing and configuring Hadoop and Pentaho on a single machine or cluster. Dell's Crowbar tool is presented as a way to quickly deploy Hadoop clusters on Dell hardware in about two hours. The document also covers best practices like leveraging different technologies, starting with small datasets, and not overloading networks. A demo is given and contact information provided.
How to Load Data More Quickly and Accurately into Oracle's Life Sciences Data...Perficient, Inc.
Sponsors and CROs know the value of having a consolidated and regulatory-compliant data warehouse, such as Oracle’s Life Sciences Data Hub (LSH), as well as the importance of consistently loading data into that warehouse quickly and accurately.
However, as data structures from the source files change over time, it can be very time consuming to modify the data structure in the warehouse itself. Additionally, for the large groups of SAS datasets that are typical for a clinical trial, the out-of-the-box load times can be quite long, as the data is loaded one set at a time.
Perficient has the answer. In this webinar, we discussed and demonstrated an autoloader tool that greatly simplifies the data loading process for LSH. We showed how the autoloader can automatically load files, detect metadata changes, upgrade target structures, and load data, all with no human intervention. In addition, we demonstrated how Perficient’s autoloader tool can load multiple datasets in parallel to minimize load times.
30 for 30: Quick Start Your Pentaho EvaluationPentaho
These slides are from our recent 30 for 30 webinar tailored towards people that have downloaded the Pentaho evaluation and want to know more about all the data integration and business analytics components part of the trial, how to easily integrate data, and best practices for installing/developing content.
This document discusses MSA's services using de-identified HIPAA-compliant clinical laboratory data for targeted marketing analysis. MSA provides two levels of services: 1) Access to laboratory data tailored for clients' use and 2) Market analysis and planning to impact strategic plans and sales activities. MSA has access to unique laboratory datasets that can identify clinicians ordering diagnostic assays, offering insights into potential customers for brands.
- Teradata presented its second quarter 2015 investor presentation, which outlined its realigned business structure, leadership in analytics platforms, flexible Hadoop offerings, and ability to scale across multiple dimensions.
- It discussed its two new divisions, portfolio of workload-specific platforms, integrated marketing cloud solutions, and strong financial position with growing recurring revenue and consistent cash flow generation.
- Teradata presented its second quarter 2015 results, highlighting its realigned structure into two divisions focused on data warehouse/analytics and marketing applications.
- It discussed its portfolio of workload-specific platforms that scale from small to extremely large environments and its leadership in analytics according to Gartner and Forrester reports.
- Teradata has the broadest and most flexible offerings for Hadoop, including appliances and software-only options.
Q1 2016 investor presentation 2 5 2016 web copyteradata2014
This investor presentation provides an overview of Teradata's financial performance in the first quarter of 2016. It notes that non-GAAP measures are available online and that forward-looking statements are subject to risks and uncertainties. The presentation then discusses Teradata's portfolio of workload-specific platforms and hybrid cloud offerings, and provides details on revenue mix by industry and type over recent years.
Event Report - Informatica Informatica World 2016Holger Mueller
Learn about theTop 3 Takeaways Constellation Research analyst Holger Mueller has distilled from Informatica Informatica World 2016, happening in San Francisco, May 23rd till 26th 2016.
Q4 2015 investor presentation web copy 11 5 2015 435pmteradata2014
This document provides an investor presentation for Teradata's fourth quarter 2015 results. It includes the following key points:
- Teradata leads in the analytics market according to Gartner and Forrester evaluations.
- Teradata offers a range of workload-specific platforms and appliances to address different analytics needs and workloads.
- Teradata has the broadest and most flexible offerings for Hadoop in the market.
- Teradata's technology provides extreme scalability, performance, availability and support for a variety of data and workloads.
- Teradata presented its third quarter 2015 results, highlighting its realigned structure into two divisions focused on data and analytics and marketing applications.
- It discussed its broad portfolio of workload-specific platforms that can scale across multiple dimensions to meet business needs rather than being limited by technology.
- Teradata has a strong balance sheet and cash flow position with over 40% of revenue coming from recurring sources and continued growth in cash from operations and free cash flow.
- The document provides an investor presentation for Teradata's second quarter 2016 results.
- It highlights Teradata's portfolio of workload-specific platforms and hybrid cloud offerings that provide scalability, performance, and flexibility.
- Charts show Teradata's revenue mix by industry and type over recent years as well as its balance sheet, cash flow, and share repurchase activity.
- Teradata presented its first quarter 2015 results, highlighting its portfolio of data warehousing and big data analytics platforms.
- It discussed its various workload-specific platforms that scale from terabytes to petabytes and its offerings for Hadoop, positioning itself as the leader in data warehousing.
- The presentation also reviewed Teradata's industry-leading technology, partnerships, financial results and positioning by analysts as the leader in data warehousing and marketing solutions.
Microsoft Power BI is a unified self-service and enterprise business intelligence platform that combines an intuitive user experience with intelligent data visualizations to provide greater depth of data insight. Reports can be shared within Microsoft tools like Teams, SharePoint, PowerPoint, or within other productivity products.
The Revolutionary Impact of the Cloud by Arun ChandrasekaranPoh Lee
The document discusses key trends in cloud computing and its impact on business. It notes that cloud services are replacing existing IT operating models and transforming roles and responsibilities. It also discusses how cloud adoption varies by industry, with financial services and telecommunications being early adopters. The document also addresses challenges for vendors in transitioning to cloud-based models and risks around cannibalizing on-premises products. It provides examples of how some large vendors have successfully made the transition to offering both cloud and on-premises options.
Gartner For Product Management And Marketingtmannes
This presentation summarizes Gartner's product and services called Gartner for Product Management & Marketing. It provides access to Gartner research reports, unlimited analyst inquiries, customized portal access, and analytics on IT buyers. The research reports cover topics on customers, competitors, markets, and technologies. Analytics provide insights into document views, searches, and inquiries by IT buyers. The goal is to help product and marketing leaders make better decisions to drive business results.
Business analytics from basics to valuesucesuminas
This presentation by Gartner Research Director João Tapadinhas discusses opportunities for business intelligence and analytics. It is owned by Gartner and protected by copyright. The presentation may only be used or displayed with Gartner's express written permission. It explores opportunities around data discovery, cloud computing, mobile BI, and many emerging analytics capabilities. Tapadinhas argues that organizations should put analytics capabilities in the business units to drive agility. The presentation provides an overview of the analytics landscape and opportunities for organizations to improve performance through analytics.
Commvault provides a single platform for comprehensive data management including data protection, replication, archiving, analytics, governance and compliance. The platform offers business insights through data analytics. Commvault has been recognized as a leader in Gartner's Magic Quadrant for data center backup and recovery solutions and as the top-ranked offering in Forrester's Data Resiliency Solutions Wave report. The platform can help organizations meet the requirements of GDPR through features that support data discovery, security, automation, and access controls.
Engaging Your CFO in Business Analytics | Palestrante: Celso Chapinottesucesuminas
The document discusses the changing role of the CFO and importance of business analytics. It finds that CFO influence over IT investments is increasing as they seek to optimize performance and costs. Most CFOs believe IT should report to them. Business intelligence, analytics, and performance management are seen as top technology priorities and ways to address needs like measuring profitability and monitoring performance. The presentation recommends understanding the evolving CFO focus, enabling the CFO through technology, and improving the CFO-CIO relationship through communication and viewing projects as business rather than IT projects.
"Elastic enables the world’s leading organization to exceed their business objectives and power their mission-critical systems by eliminating data silos, connecting the dots, and transforming data of all types into actionable insights.
Come learn how the power of search can help you quickly surface relevant insights at scale. Whether you are an executive looking to reduce operational costs, a department head striving to do more with fewer tools, or engineer monitoring and protecting your IT environment, this session is for you. "
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2. 2 3/18/2014 Teradata Confidential
Note to Investors
• Certain non-GAAP financial information regarding operating results
may be discussed during this presentation. Reconciliations of the
differences between GAAP and non-GAAP measures are available on
the Investor page at www.teradata.com/investor.
• Remarks and responses associated with this presentation include
forward-looking statements that are based on current expectations
and assumptions. These forward-looking statements are subject to
a number of risks and uncertainties that could affect our future
results and could cause actual results to differ materially from
those expressed in such forward-looking statements.
• These risks and uncertainties are detailed in Teradata’s Registration
Statement on Form 10 and in our SEC reports, including, but not
limited to, our periodic and current reports on Forms 10-K, 10-Q,
and 8K, as well as the company’s annual report to shareholders.
3. 3 3/18/2014 Teradata Confidential
Operational Systems
Help Run the Business
Analytic Systems Drive
Business Decisions
Oracle, SAP
Servers, Storage... Servers, Storage...
IBM, BEA, TIBCO,
Oracle, SAP
Information Technology Landscape
Business Intelligence/
Analytical Applications
Oracle, SAP, SAS, Business Objects,
Cognos, Microsoft, Teradata
Data Warehouse Databases
Oracle, Microsoft,
IBM, Netezza
Operational/
Transactional Systems
Transactional Databases
Enterprise Application
Integration
Data Acquisition
& Integration
Informatica,
IBM, Oracle
Oracle, IBM, Microsoft, PostgreSQL
Teradata
4. 4 3/18/2014 Teradata Confidential
The Problem … The Solution
OPERATIONAL
SYSTEMS
DECISION
MAKERS
OPERATIONAL
SYSTEMS
DECISION
MAKERS
Proliferation of data marts has
resulted in fragmented data, higher
costs, poor decisions
Integrated data provides data
consistency, lower costs, better decisions
Integrated
Data
Warehouse
(IDW)
5. 5 3/18/2014 Teradata Confidential
Unified Data Architecture
• Any User, Any Data, Any Analysis
Audio/
Video
Images Text
Web &
Social
Machine
Logs
CRM SCM ERP
Engineers Business AnalystsQuantsData Scientists
Java, C/C++, Pig, Python, R, SAS, SQL, Excel, BI, Visualization, etc.
Discovery Platform Integrated Data
Warehouse
Aster MapReduce Portfolio Teradata Analytics Portfolio
Capture, Store, Refine
SQL-H
6. 6 3/18/2014 Teradata Confidential
Teradata Analytical Ecosystem
1000 series
2000 series
500 series
6000 series
2000 series
6000 series
7. 7 3/18/2014 Teradata Confidential
Teradata Workload-Specific Platforms
Data Mart
Appliance
Extreme
Data
Appliance
Data
Warehouse
Appliance
Active
Enterprise
Data
Warehouse
Appliance
for Hadoop
Aster Big
Analytics
Appliance
600 Series 1000 Series 2000 Series 6000 Series
Scale Up to 8TB Up to 186PB Up to 1.6PB Up to 61PB Up to 10PB Up to 5PB
Workloads
Test /
Development
or Smaller
Data Marts
Analytical
Archive,
Deep Dive
Analytics
Strategic
Intelligence,
Decision
Support
System, Fast
Scan
Strategic &
Operational
Intelligence,
Real Time
Update,
Active
workloads
Appliance for
Storing,
Capturing and
Refining Data.
Hortonworks
HDP 1.1
Discovery
Platform for Big
Data Analytics
with embedded
SQL MapReduce
for new data
types & sources
8. 8 3/18/2014 Teradata Confidential
Broadest, Most Flexible Hadoop Offerings in Market
Aster Big Analytics
Appliance
Appliance for Hadoop
Commodity Offering
with Dell
Software Only
Overview Premier Premier Commodity Commodity
Value
Proposition
Big data analytics in an
integrated package
Enterprise-ready Hadoop
with single vendor
support
Pre-designed, cost-
effective commodity
hardware with
Teradata software
support
Flexible hardware
options with
Teradata software
support
Value Add
Single best analytics
& discovery platform
SQL-MapReduce &
70+ analytics
Integrated
hardware/software
Software to simplify
operation of Hadoop
Integrated
hardware/software
that is engineered,
staged, & delivered
complete.
Data staging &
refining
Software to simplify
operation of Hadoop
Hardware staged,
delivered by Dell
Teradata software
install & support
Teradata software
install & support
Segment
Business Value Based
IT
“Buy it”
Value Based IT
“Buy it”
Cost-Based IT
“Buy it, Build it”
Engineering IT
“Build it”
100% Open Source, Community-Driven Enterprise Apache Hadoop
9. 9 3/18/2014 Teradata Confidential
Continuous update
and time-sensitive
queries become
important
OPERATIONALIZING
WHAT IS
happening now?
Event-based
triggering
takes hold
ACTIVATING
MAKE it happen!
Primarily batch
and some ad hoc
reports
Increase in
ad hoc analysis
ANALYZING
WHY
did it happen?
REPORTING
WHAT
happened?
Analytical
modeling
grows
PREDICTING
WHAT WILL
happen?
WorkloadSophistication
Scalability
Stage 1
Stage 2
Stage 3
Stage 4
Stage 5
Teradata’s Data Warehouse Evolution/Vision
10. 10 3/18/2014 Teradata Confidential
Teradata’s Industry-Leading Technology
Technology Demands
• Extreme scalability
• Extreme performance
• Extreme availability
• Extreme data load and
access
Scalability Across Multiple Dimensions
Data Volume
(Raw, User Data)
Schema
Sophistication
Query
Freedom
Query
Complexity
Query
Concurrency
Mixed
Workload
Query Data Volume
Data
Freshness
Teradata can scale
simultaneously across
multiple dimensions.
Driven by business!
Competition scales one
dimension at the expense
of others.
Limited by technology!
Mission critical 7x24
11. 11 3/18/2014 Teradata Confidential
Teradata – The Data Warehouse Leader
The Magic Quadrant is copyrighted March 2014 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time
period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service
depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research
tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or
fitness for a particular purpose.
Gartner Magic Quadrant for Data Warehouse Database
Management Systems
Magic Quadrant for Data Warehouse
Database Management Systems
Mark Beyer, Roxanne Edjlali 3/7/14
12. 12 3/18/2014 Teradata Confidential
The Forrester Wave TM
Enterprise Data Warehouse Q4 2013
The Forrester Wave ™ is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave ™ are trademarks of Forrester Research, Inc. The Forrester Wave ™ is a graphical
representation of Forrester’s call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor,
product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change.
14. 14 3/18/2014 Teradata Confidential
Teradata positioned as Leader
Gartner 2014 MRM Magic Quadrant
Magic Quadrant for MRM MQ,
Kim Collins, 2/4/14
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available
upon request from Teradata. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those
vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner
disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose
15. 15 3/18/2014 Teradata Confidential
95%
71%
57%
52% 50%
46%
24%
8%
39%
15% 16%
26%
23%
16%
7%
4%
Telecom Trav/Trans Media/Ent. Healthcare Retail Fin/Ins Manuf Energy &
Utilities
Revenue by Industry
Industry Penetration+
Financial
31%
Comms.
19%
Retail
14%
Manuf.
13%
Healthcare
8%
Gov't.
6%
Travel/Trans.
5%
Other
2%
Energy & Util.
1%
2013*
* Approximate percentages of product and consulting services revenue by industry.
Global Fortune 500 Global 3000
2007 2008 2009 2010 2011 2012 2013
Financial
Services
24% 29% 28% 28% 28% 30% 31%
Communications 28% 28% 23% 24% 24% 21% 19%
Retail 19% 16% 17% 16% 16% 16% 14%
Manufacturing 9% 11% 10% 13% 12% 12% 13%
Healthcare 5% 4% 8% 6% 7% 7% 8%
Travel &
Transportation
6% 6% 6% 6% 5% 6% 6%
Government 7% 5% 7% 7% 6% 6% 6%
Other 2% 1% <1% <1% 2% 2% 3%
+ Percentage of companies
within each industry
vertical that have begun
investing in Teradata.
17. 17 3/18/2014 Teradata Confidential
Revenue Mix & Operating Segments
Revenue Mix 2013
% of
Total
Products (SW/HW) $1,230M 46%
Consulting Services 818M 30%
Maintenance Services 644M 24%
Total Revenue $2,692M
Approximately 40% of Teradata’s
revenue is from recurring
revenue sources.
Americas
61% of total revenue
Gross margin 58%
International
39% of total revenue
Gross margin 50%
Operating Segments