Let’s face it: marketing is in a big data bubble. Everyone is talking about data: big data, data analytics, and big data analytics. At the root of all this data mania in marketing is the very real revolution that’s shaping more data-driven organizations. Big data is finally opening the door to the executive suite for a more hybrid creative-analytical method.
The key question data raises is how do we use it to not only know more about our customers, but to directly grow our business in significant ways? Iron Mountain has the answer: broadly embrace testing and controlled experimentation as the new “operating system” of marketing. The answer to big data’s potential is big testing.
Big Data Testing : Automate theTesting of Hadoop, NoSQL & DWH without Writing...RTTS
Testing of Hadoop, NoSQL and Data Warehouses Visually
-----------------------------------------------------------------------------
We just made automated data testing really easy. Automate your Big Data testing visually, with no programming needed.
See how to automate Hadoop, No SQL and Data Warehouse testing visually, without writing any SQL or HQL. See how QuerySurge, the leading Big Data testing solution, provides novices and non-technical team members with a fast & easy way to be productive immediately while speeding up testing for team members skilled in SQL/HQL.
This webinar is geared towards:
- Big Data & Data Warehouse Architects, ETL Developers
- ETL Testers, Big Data Testers
- Data Analysts
- Operations teams
- Business Intelligence (BI) Architects
- Data Management Officers & Directors
You will learn how to:
• Improve your Data Quality
• Accelerate your data testing cycles
• Reduce your costs & risks
• Realize a huge ROI
Big Data Testing: Ensuring MongoDB Data QualityRTTS
You've made the move to MongoDB for its flexible schema and querying capabilities in order to enhance agility and reduce costs for your business. Shouldn't your data quality process be just as organized and efficient?
Using QuerySurge for testing your MongoDB data as part of your quality effort will increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your Big Data store. QuerySurge will help you keep your team organized and on track too!
To learn more about QuerySurge, visit www.QuerySurge.com
Implementing Azure DevOps with your Testing ProjectRTTS
Implementing Azure DevOps With Your Testing Project
Are you challenged with different teams working on different platforms making it difficult to get insight into another team’s work?
Is your team seeking ways to automate the code deployments so you can spend more time developing new features and writing more tests, and spend less time deploying and running manual tests?
RTTS, a Microsoft Gold DevOps Partner, will take you through solving these challenges with Azure DevOps.
Tuesday, June 16th 2020 @11am ET
Session Overview
------------------------------------
During the webinar, we will walk you through the following process of utilizing Azure DevOps:
- The challenges that inspired the Azure DevOps solution that you may experience as well
- The strategy for implementing Azure Devops
- Solutions in our every day processes to increase our times efficiency and save time
- A demo of an Azure DevOps environment for testing teams
The see a recording of the webinar, please visit:
https://www.youtube.com/watch?v=2vIic3wxaS4
To learn more about RTTS, please visit:
https://www.rttsweb.com
QuerySurge - the automated Data Testing solutionRTTS
QuerySurge is the leading Data Testing solution built specifically to automate the testing of Data Warehouses & Big Data. QuerySurge ensures that the data extracted from data sources remains intact in the target data store by analyzing and pinpointing any differences quickly.
And QuerySurge makes it easy for both novice and experienced team members to validate their organization's data quickly through Query Wizards while still allowing power users the flexibility they need.
All with deep dive reporting and data health dashboards that quickly provides you with a holistic view of your project’s data.
Types of Automated Data Testing
--------------------------------------------
QuerySurge provides data testing solutions for all of your automated data testing needs
- Data Warehouse testing & ETL testing
- Big Data (Hadoop, NoSQL) testing
- Data Interface testing
- Data Migration testing
- Database Upgrade testing
FREE TRIAL
www.QuerySurge.com
Creating a Data validation and Testing StrategyRTTS
Creating A Data Validation & Testing Strategy
Are you struggling with formulating a strategy for how to validate the massive amount of data continuously entering your data warehouse or data lake?
We can help you!
Learn how RTTS’ Data Validation Assessment provides:
- an evaluation of your current data validation process
- recommendations on how to improve your process and
- a proposal for successful implementation
This slide deck addresses the following issues:
- How do I find out if I have bad data?
- How do I ensure I am testing the proper data permutations?
- How much of my data needs to be validated and automated?
- Which critical data endpoints need to be tested?
- How do I test data in my cloud environments?
And much more!
For more information, visit:
https://www.rttsweb.com/services/solutions/data-validation-assessment
Query Wizards - data testing made easy - no programmingRTTS
Fast and easy. No Programming needed. The latest QuerySurge release introduces the new Query Wizards. The Wizards allow both novice and experienced team members to validate their organization's data quickly with no SQL programming required.
The Wizards provide an immediate ROI through their ease-of-use and ensure that minimal time and effort are required for developing tests and obtaining results. Even novice testers are productive as soon as they start using the Wizards!
According to a recent survey of Data Architects and other data experts on LinkedIn, approximately 80% of columns in a data warehouse have no transformations, meaning the Wizards can test all of these columns quickly & easily, (The columns with transformations can be tested using the QuerySurge Design library using custom SQL coding.)
There are 3 Types of automated Data Comparisons:
- Column-Level Comparison
- Table-Level Comparison
- Row Count Comparison
There are also automated features for filtering (‘Where’ clause) and sorting (‘Order By’ clause).
The Wizards provide both novices and non-technical team members with a fast & easy way to be productive immediately and speed up testing for team members skilled in SQL.
Trial our software either as a download or in the cloud at www.QuerySurge.com. The trial comes with a built-in tutorial and sample data.
Introduction to QuerySurge Webinar
Wednesday, April 29th 2020 @11am ET
Eric Smyth, Director of Alliances
Bill Hayduk, CEO
Matt Moss, Product Manager
This is the slide deck for our webinar. Learn how QuerySurge automates the data validation and testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing.
---------------------------------------------------------------------------------
Objective
During this webinar, we demonstrate how QuerySurge solves the following challenges:
- Your need for data quality at speed
- How to automate your ETL testing process
- Your ability to test across your different data platforms
- How to integrate ETL testing into your DataOps pipeline
- How to analyze your data and pinpoint anomalies quickly
-------------------------------------------------------------------------------------
Who should view this?
- ETL Developers /Testers
- Data Architects / Analysts
- DBAs
- BI Developers / Analysts
- IT Architects
- Managers of Data, BI & Analytics groups: CTOs, Directors, Vice Presidents, Project Leads
And anyone else with an interest in the Data & Analytics space who is interested in an automation solution for data validation & testing while improving data quality.
Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...RTTS
In the U.S., pharmaceutical firms must meet electronic record-keeping regulations set by the Food and Drug Administration (FDA). The regulation is Title 21 CFR Part 11, commonly known as Part 11.
Part 11 requires regulated firms to implement controls for software and systems involved in processing many forms of data as part of business operations and product development.
Enterprise data warehouses are used by the pharmaceutical and medical device industries for storing data covered by Part 11. QuerySurge, the only test tool designed specifically for automating the testing of data warehouses and the ETL process, is the market leader in testing data warehouses used by Part 11-governed companies.
For more on QuerySurge and Pharma, please visit
http://www.querysurge.com/solutions/pharmaceutical-industry
Big Data Testing : Automate theTesting of Hadoop, NoSQL & DWH without Writing...RTTS
Testing of Hadoop, NoSQL and Data Warehouses Visually
-----------------------------------------------------------------------------
We just made automated data testing really easy. Automate your Big Data testing visually, with no programming needed.
See how to automate Hadoop, No SQL and Data Warehouse testing visually, without writing any SQL or HQL. See how QuerySurge, the leading Big Data testing solution, provides novices and non-technical team members with a fast & easy way to be productive immediately while speeding up testing for team members skilled in SQL/HQL.
This webinar is geared towards:
- Big Data & Data Warehouse Architects, ETL Developers
- ETL Testers, Big Data Testers
- Data Analysts
- Operations teams
- Business Intelligence (BI) Architects
- Data Management Officers & Directors
You will learn how to:
• Improve your Data Quality
• Accelerate your data testing cycles
• Reduce your costs & risks
• Realize a huge ROI
Big Data Testing: Ensuring MongoDB Data QualityRTTS
You've made the move to MongoDB for its flexible schema and querying capabilities in order to enhance agility and reduce costs for your business. Shouldn't your data quality process be just as organized and efficient?
Using QuerySurge for testing your MongoDB data as part of your quality effort will increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your Big Data store. QuerySurge will help you keep your team organized and on track too!
To learn more about QuerySurge, visit www.QuerySurge.com
Implementing Azure DevOps with your Testing ProjectRTTS
Implementing Azure DevOps With Your Testing Project
Are you challenged with different teams working on different platforms making it difficult to get insight into another team’s work?
Is your team seeking ways to automate the code deployments so you can spend more time developing new features and writing more tests, and spend less time deploying and running manual tests?
RTTS, a Microsoft Gold DevOps Partner, will take you through solving these challenges with Azure DevOps.
Tuesday, June 16th 2020 @11am ET
Session Overview
------------------------------------
During the webinar, we will walk you through the following process of utilizing Azure DevOps:
- The challenges that inspired the Azure DevOps solution that you may experience as well
- The strategy for implementing Azure Devops
- Solutions in our every day processes to increase our times efficiency and save time
- A demo of an Azure DevOps environment for testing teams
The see a recording of the webinar, please visit:
https://www.youtube.com/watch?v=2vIic3wxaS4
To learn more about RTTS, please visit:
https://www.rttsweb.com
QuerySurge - the automated Data Testing solutionRTTS
QuerySurge is the leading Data Testing solution built specifically to automate the testing of Data Warehouses & Big Data. QuerySurge ensures that the data extracted from data sources remains intact in the target data store by analyzing and pinpointing any differences quickly.
And QuerySurge makes it easy for both novice and experienced team members to validate their organization's data quickly through Query Wizards while still allowing power users the flexibility they need.
All with deep dive reporting and data health dashboards that quickly provides you with a holistic view of your project’s data.
Types of Automated Data Testing
--------------------------------------------
QuerySurge provides data testing solutions for all of your automated data testing needs
- Data Warehouse testing & ETL testing
- Big Data (Hadoop, NoSQL) testing
- Data Interface testing
- Data Migration testing
- Database Upgrade testing
FREE TRIAL
www.QuerySurge.com
Creating a Data validation and Testing StrategyRTTS
Creating A Data Validation & Testing Strategy
Are you struggling with formulating a strategy for how to validate the massive amount of data continuously entering your data warehouse or data lake?
We can help you!
Learn how RTTS’ Data Validation Assessment provides:
- an evaluation of your current data validation process
- recommendations on how to improve your process and
- a proposal for successful implementation
This slide deck addresses the following issues:
- How do I find out if I have bad data?
- How do I ensure I am testing the proper data permutations?
- How much of my data needs to be validated and automated?
- Which critical data endpoints need to be tested?
- How do I test data in my cloud environments?
And much more!
For more information, visit:
https://www.rttsweb.com/services/solutions/data-validation-assessment
Query Wizards - data testing made easy - no programmingRTTS
Fast and easy. No Programming needed. The latest QuerySurge release introduces the new Query Wizards. The Wizards allow both novice and experienced team members to validate their organization's data quickly with no SQL programming required.
The Wizards provide an immediate ROI through their ease-of-use and ensure that minimal time and effort are required for developing tests and obtaining results. Even novice testers are productive as soon as they start using the Wizards!
According to a recent survey of Data Architects and other data experts on LinkedIn, approximately 80% of columns in a data warehouse have no transformations, meaning the Wizards can test all of these columns quickly & easily, (The columns with transformations can be tested using the QuerySurge Design library using custom SQL coding.)
There are 3 Types of automated Data Comparisons:
- Column-Level Comparison
- Table-Level Comparison
- Row Count Comparison
There are also automated features for filtering (‘Where’ clause) and sorting (‘Order By’ clause).
The Wizards provide both novices and non-technical team members with a fast & easy way to be productive immediately and speed up testing for team members skilled in SQL.
Trial our software either as a download or in the cloud at www.QuerySurge.com. The trial comes with a built-in tutorial and sample data.
Introduction to QuerySurge Webinar
Wednesday, April 29th 2020 @11am ET
Eric Smyth, Director of Alliances
Bill Hayduk, CEO
Matt Moss, Product Manager
This is the slide deck for our webinar. Learn how QuerySurge automates the data validation and testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing.
---------------------------------------------------------------------------------
Objective
During this webinar, we demonstrate how QuerySurge solves the following challenges:
- Your need for data quality at speed
- How to automate your ETL testing process
- Your ability to test across your different data platforms
- How to integrate ETL testing into your DataOps pipeline
- How to analyze your data and pinpoint anomalies quickly
-------------------------------------------------------------------------------------
Who should view this?
- ETL Developers /Testers
- Data Architects / Analysts
- DBAs
- BI Developers / Analysts
- IT Architects
- Managers of Data, BI & Analytics groups: CTOs, Directors, Vice Presidents, Project Leads
And anyone else with an interest in the Data & Analytics space who is interested in an automation solution for data validation & testing while improving data quality.
Data Warehousing in Pharma: How to Find Bad Data while Meeting Regulatory Req...RTTS
In the U.S., pharmaceutical firms must meet electronic record-keeping regulations set by the Food and Drug Administration (FDA). The regulation is Title 21 CFR Part 11, commonly known as Part 11.
Part 11 requires regulated firms to implement controls for software and systems involved in processing many forms of data as part of business operations and product development.
Enterprise data warehouses are used by the pharmaceutical and medical device industries for storing data covered by Part 11. QuerySurge, the only test tool designed specifically for automating the testing of data warehouses and the ETL process, is the market leader in testing data warehouses used by Part 11-governed companies.
For more on QuerySurge and Pharma, please visit
http://www.querysurge.com/solutions/pharmaceutical-industry
Leveraging HPE ALM & QuerySurge to test HPE VerticaRTTS
Are you using HPE ALM or Quality Center (QC) for your requirements gathering and test management?
RTTS, an alliance partner of HPE and a member of HPE’s Big Data community, can show you how to use ALM/QC and RTTS’ QuerySurge to effectively manage your data validation & testing of Vertica (or any data warehouse).
In this webinar video you will see:
- a custom view of ALM to store source-to-target mappings
- data validation tests in QuerySurge
- the execution of QuerySurge tests from ALM
- the results of data validation tests stored in ALM
- custom ALM reports that show data validation coverage of Vertica
how we improve your data quality while reducing your costs & risks
Presented by:
Bill Hayduk, Founder & CEO of RTTS, the developers of QuerySurge
Chris Thompson, Senior Domain Expert, Big Data testing
To learn more about QuerySurge, visit www.QuerySurge.com
How healthy is your data?
Data health is a multi-dimensional indicator of the integrity and effectiveness of your organization's most valuable asset. It is something that is increasingly difficult to be sure of when your data is growing in size and complexity, and when your team is becoming more dispersed.
Get insight into your Big Data like never before with the Data Health Dashboards in QuerySurge, the leading Data Testing software. These dashboards will enable you to easily see trends in both your data and your team's performance.
In this slide deck, you will learn how to:
- Improve your data quality
- Reduce your costs & risks
- Accelerate your data testing cycles
- Share information with your team
- Gain a holistic view of the health of your data
To see the Webinar, please visit:
http://www.querysurge.com/solutions/data-warehouse-testing/improve-data-health
Data Warehouse Testing in the Pharmaceutical IndustryRTTS
In the U.S., pharmaceutical firms and medical device manufacturers must meet electronic record-keeping regulations set by the Food and Drug Administration (FDA). The regulation is Title 21 CFR Part 11, commonly known as Part 11.
Part 11 requires regulated firms to implement controls for software and systems involved in processing many forms of data as part of business operations and product development.
Enterprise data warehouses are used by the pharmaceutical and medical device industries for storing data covered by Part 11 (for example, Safety Data and Clinical Study project data). QuerySurge, the only test tool designed specifically for automating the testing of data warehouses and the ETL process, has been effective in testing data warehouses used by Part 11-governed companies. The purpose of QuerySurge is to assure that your warehouse is not populated with bad data.
In industry surveys, bad data has been found in every database and data warehouse studied and is estimated to cost firms on average $8.2 million annually, according to analyst firm Gartner. Most firms test far less than 10% of their data, leaving at risk the rest of the data they are using for critical audits and compliance reporting. QuerySurge can test up to 100% of your data and help assure your organization that this critical information is accurate.
QuerySurge not only helps in eliminating bad data, but is also designed to support Part 11 compliance.
Learn more at www.QuerySurge.com
What is a Data Warehouse and How Do I Test It?RTTS
ETL Testing: A primer for Testers on Data Warehouses, ETL, Business Intelligence and how to test them.
Are you hearing and reading about Big Data, Enterprise Data Warehouses (EDW), the ETL Process and Business Intelligence (BI)? The software markets for EDW and BI are quickly approaching $22 billion, according to Gartner, and Big Data is growing at an exponential pace.
Are you being tasked to test these environments or would you like to learn about them and be prepared for when you are asked to test them?
RTTS, the Software Quality Experts, provided this groundbreaking webinar, based upon our many years of experience in providing software quality solutions for more than 400 companies.
You will learn the answer to the following questions:
• What is Big Data and what does it mean to me?
• What are the business reasons for a building a Data Warehouse and for using Business Intelligence software?
• How do Data Warehouses, Business Intelligence tools and ETL work from a technical perspective?
• Who are the primary players in this software space?
• How do I test these environments?
• What tools should I use?
This slide deck is geared towards:
QA Testers
Data Architects
Business Analysts
ETL Developers
Operations Teams
Project Managers
...and anyone else who is (a) new to the EDW space, (b) wants to be educated in the business and technical sides and (c) wants to understand how to test them.
Completing the Data Equation: Test Data + Data Validation = SuccessRTTS
Completing the Data Equation
In this presentation, we tackle 2 major challenges to assuring your data quality:
1) Test Data Generation
2) Data Validation
We illustrate how GenRocket and QuerySurge, used in conjunction, can solve these challenges. Also see how they can be easily integrated into your Continuous Integration/Continuous Delivery pipeline.
Session Overview
- Primary challenges organizations are facing with their data projects
- Key success factors for data validation & testing
- How to setup a workflow around test data generation and data validation using GenRocket & QuerySurge
- How to automate this workflow in your CI/CD DataOps pipeline
to see the video, go to https://www.youtube.com/embed/Zy25i74l-qo?autoplay=1&showinfo=0
QuerySurge, the smart data testing solution, QuerySurge, the smart data testing solution that automates data validation & testing of critical data, released the first-of-its-kind full DevOps solution for continuous data testing. The latest release, QuerySurge-for-DevOps, enables users to drive changes to their test components programmatically while interfacing with virtually all DevOps solutions in the marketplace. See how to implement a DevOps-for-Data solution in your delivery pipeline and improve your data quality at speed!
Testers will now have the capability to dynamically generate, execute, and update tests and data stores utilizing API calls. QuerySurge for DevOps has 60+ API calls with almost 100 different properties. This will enable a higher percentage of automation in your current data testing practice and a more robust DevOps for Data, or DataOps pipeline.
API Features Include:
- Create and modify source and target test queries
- Create and modify connections to data stores
- Create and modify the tests associated with an execution suite
- Create and modify new staging tables from various data connections
- Create custom flow controls based on run results
- Integration with virtually all build solutions in the market
QuerySurge for DevOps integrates with:
- Continuous integration/ETL solutions
- Automated build/release/deployment solutions
- Operations and DevOps monitoring solutions
- Test management/issue tracking solutions
- Scheduling and workload automation solutions
For more information on QuerySurge for DevOps, visit:
https://www.querysurge.com/solutions/querysurge-for-devops
How to Test Big Data Systems | QualiTest GroupQualitest
Big Data is perceived as a huge amount of data and information but it is a lot more than this. Big Data may be said to be a whole set of approach, tools and methods of processing large volumes of unstructured as well as structured data. The three parameters on which Big Data is defined i.e. Volume, Variety and Velocity describes how you have to process an enormous amount of data in different formats at different rates.
QualiTest is the world’s second largest pure play software testing and QA company. Testing and QA is all that we do! visit us at: www.QualiTestGroup.com
Testing Big Data: Automated Testing of Hadoop with QuerySurgeRTTS
Are You Ready? Stepping Up To The Big Data Challenge In 2016 - Learn why Testing is pivotal to the success of your Big Data Strategy.
According to a new report by analyst firm IDG, 70% of enterprises have either deployed or are planning to deploy big data projects and programs this year due to the increase in the amount of data they need to manage.
The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth.
Learn why testing your enterprise's data is pivotal for success with big data and Hadoop. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data - all with one data testing tool.
RTTS - the Software Quality Experts
---------------------------------------------------------------------------------
RTTS (www.rttsweb.com) RTTS is the premier pure-play QA & Testing organization
that specializes in Test Automation. Founded in 1996, with locations in
New York (HQ), Atlanta, Philadelphia, Phoenix, RTTS has successfully completed engagements at over 600 companies. RTTS also has alliances with the top vendors in QA and testing, including IBM, Microsoft, HP and Oracle.
---------------------------------------------------------------------------------
Services include:
- Managed Testing Services - in the Cloud or on your premises
- Test Management
- Automated Functional Testing
- Performance/Load Testing
- Data Warehouse/ETL Testing
- Big Data Testing
- Mobile Testing
- Application Security Testing
------------------------------------------------------------------------------------
- Training courses (in the Cloud, at our NY offices, or at your site)
+ Selenium training
+ IBM Rational RPT, RFT, RQM training
+ Appium training
+ Microsoft Visual Studio Load, Coded UI, Test Manager training
+ HP Quality Center/ALM UFT, Loadrunner training
+ Big Data Testing training
+ Data Warehouse Testing training
--------------------------------------------------------------------------------------
RTTS also is the developer of QuerySurge (www.QuerySurge.com), the premier data testing tool
- Data warehouse testing
- ETL testing
- Big Data testing (Hadoop, MongoDB, etc.)
- Data Interface testing (SAP, PeopleSoft, etc.)
- Data Migration testing
- Database Upgrade testing
Testing Big Data application is more a verification of its data processing rather than testing the individual features. It demands a high level of testing skills as the processing is very fast.
Testing the Data Warehouse―Big Data, Big ProblemsTechWell
Data warehouses have become a popular mechanism for collecting, organizing, and making information readily available for strategic decision making. The ability to review historical trends and monitor near real-time operational data has become a key competitive advantage for many organizations. Yet the methods for assuring the quality of these valuable assets are quite different from those of transactional systems. Ensuring that the appropriate testing is performed is a major challenge for many enterprises. Geoff Horne has led a number of data warehouse testing projects in both the telecommunications and ERP sectors. Join Geoff as he shares his approaches and experiences, focusing on the key “uniques” of data warehouse testing including methods for assuring data completeness, monitoring data transformations, and measuring quality. He also explores the opportunities for test automation as part of the data warehouse process, describing how it can be harnessed to streamline and minimize overhead.
Testing the Data Warehouse―Big Data, Big ProblemsTechWell
Data warehouses have become a popular mechanism for collecting, organizing, and making information readily available for strategic decision making. The ability to review historical trends and monitor near real-time operational data has become a key competitive advantage for many organizations. Yet the methods for assuring the quality of these valuable assets are quite different from those of transactional systems. Ensuring that the appropriate testing is performed is a major challenge for many enterprises. Geoff Horne has led a number of data warehouse testing projects in both the telecommunications and ERP sectors. Join Geoff as he shares his approaches and experiences, focusing on the key “uniques” of data warehouse testing including methods for assuring data completeness, monitoring data transformations, and measuring quality. He also explores the opportunities for test automation as part of the data warehouse process, describing how it can be harnessed to streamline and minimize overhead.
Data warehouses have become a popular mechanism for collecting, organizing, and making information readily available for strategic decision making. The ability to review historical trends and monitor near real-time operational data has become a key competitive advantage for many organizations. Yet the methods for assuring the quality of these valuable assets are quite different from those of transactional systems. Ensuring that the appropriate testing is performed is a major challenge for many enterprises. Geoff Horne has led a number of data warehouse testing projects in both the telecommunications and ERP sectors. Join Geoff as he shares his approaches and experiences, focusing on the key “uniques” of data warehouse testing including methods for assuring data completeness, monitoring data transformations, and measuring quality. He also explores the opportunities for test automation as part of the data warehouse process, describing how it can be harnessed to streamline and minimize overhead.
Data summit connect fall 2020 - rise of data opsRyan Gross
Data governance teams attempt to apply manual control at various points for consistency and quality of the data. By thinking of our machine learning data pipelines as compilers that convert data into executable functions and leveraging data version control, data governance and engineering teams can engineer the data together, filing bugs against data versions, applying quality control checks to the data compilers, and other activities. This talk illustrates how innovations are poised to drive process and cultural changes to data governance, leading to order-of-magnitude improvements.
Leveraging HPE ALM & QuerySurge to test HPE VerticaRTTS
Are you using HPE ALM or Quality Center (QC) for your requirements gathering and test management?
RTTS, an alliance partner of HPE and a member of HPE’s Big Data community, can show you how to use ALM/QC and RTTS’ QuerySurge to effectively manage your data validation & testing of Vertica (or any data warehouse).
In this webinar video you will see:
- a custom view of ALM to store source-to-target mappings
- data validation tests in QuerySurge
- the execution of QuerySurge tests from ALM
- the results of data validation tests stored in ALM
- custom ALM reports that show data validation coverage of Vertica
how we improve your data quality while reducing your costs & risks
Presented by:
Bill Hayduk, Founder & CEO of RTTS, the developers of QuerySurge
Chris Thompson, Senior Domain Expert, Big Data testing
To learn more about QuerySurge, visit www.QuerySurge.com
How healthy is your data?
Data health is a multi-dimensional indicator of the integrity and effectiveness of your organization's most valuable asset. It is something that is increasingly difficult to be sure of when your data is growing in size and complexity, and when your team is becoming more dispersed.
Get insight into your Big Data like never before with the Data Health Dashboards in QuerySurge, the leading Data Testing software. These dashboards will enable you to easily see trends in both your data and your team's performance.
In this slide deck, you will learn how to:
- Improve your data quality
- Reduce your costs & risks
- Accelerate your data testing cycles
- Share information with your team
- Gain a holistic view of the health of your data
To see the Webinar, please visit:
http://www.querysurge.com/solutions/data-warehouse-testing/improve-data-health
Data Warehouse Testing in the Pharmaceutical IndustryRTTS
In the U.S., pharmaceutical firms and medical device manufacturers must meet electronic record-keeping regulations set by the Food and Drug Administration (FDA). The regulation is Title 21 CFR Part 11, commonly known as Part 11.
Part 11 requires regulated firms to implement controls for software and systems involved in processing many forms of data as part of business operations and product development.
Enterprise data warehouses are used by the pharmaceutical and medical device industries for storing data covered by Part 11 (for example, Safety Data and Clinical Study project data). QuerySurge, the only test tool designed specifically for automating the testing of data warehouses and the ETL process, has been effective in testing data warehouses used by Part 11-governed companies. The purpose of QuerySurge is to assure that your warehouse is not populated with bad data.
In industry surveys, bad data has been found in every database and data warehouse studied and is estimated to cost firms on average $8.2 million annually, according to analyst firm Gartner. Most firms test far less than 10% of their data, leaving at risk the rest of the data they are using for critical audits and compliance reporting. QuerySurge can test up to 100% of your data and help assure your organization that this critical information is accurate.
QuerySurge not only helps in eliminating bad data, but is also designed to support Part 11 compliance.
Learn more at www.QuerySurge.com
What is a Data Warehouse and How Do I Test It?RTTS
ETL Testing: A primer for Testers on Data Warehouses, ETL, Business Intelligence and how to test them.
Are you hearing and reading about Big Data, Enterprise Data Warehouses (EDW), the ETL Process and Business Intelligence (BI)? The software markets for EDW and BI are quickly approaching $22 billion, according to Gartner, and Big Data is growing at an exponential pace.
Are you being tasked to test these environments or would you like to learn about them and be prepared for when you are asked to test them?
RTTS, the Software Quality Experts, provided this groundbreaking webinar, based upon our many years of experience in providing software quality solutions for more than 400 companies.
You will learn the answer to the following questions:
• What is Big Data and what does it mean to me?
• What are the business reasons for a building a Data Warehouse and for using Business Intelligence software?
• How do Data Warehouses, Business Intelligence tools and ETL work from a technical perspective?
• Who are the primary players in this software space?
• How do I test these environments?
• What tools should I use?
This slide deck is geared towards:
QA Testers
Data Architects
Business Analysts
ETL Developers
Operations Teams
Project Managers
...and anyone else who is (a) new to the EDW space, (b) wants to be educated in the business and technical sides and (c) wants to understand how to test them.
Completing the Data Equation: Test Data + Data Validation = SuccessRTTS
Completing the Data Equation
In this presentation, we tackle 2 major challenges to assuring your data quality:
1) Test Data Generation
2) Data Validation
We illustrate how GenRocket and QuerySurge, used in conjunction, can solve these challenges. Also see how they can be easily integrated into your Continuous Integration/Continuous Delivery pipeline.
Session Overview
- Primary challenges organizations are facing with their data projects
- Key success factors for data validation & testing
- How to setup a workflow around test data generation and data validation using GenRocket & QuerySurge
- How to automate this workflow in your CI/CD DataOps pipeline
to see the video, go to https://www.youtube.com/embed/Zy25i74l-qo?autoplay=1&showinfo=0
QuerySurge, the smart data testing solution, QuerySurge, the smart data testing solution that automates data validation & testing of critical data, released the first-of-its-kind full DevOps solution for continuous data testing. The latest release, QuerySurge-for-DevOps, enables users to drive changes to their test components programmatically while interfacing with virtually all DevOps solutions in the marketplace. See how to implement a DevOps-for-Data solution in your delivery pipeline and improve your data quality at speed!
Testers will now have the capability to dynamically generate, execute, and update tests and data stores utilizing API calls. QuerySurge for DevOps has 60+ API calls with almost 100 different properties. This will enable a higher percentage of automation in your current data testing practice and a more robust DevOps for Data, or DataOps pipeline.
API Features Include:
- Create and modify source and target test queries
- Create and modify connections to data stores
- Create and modify the tests associated with an execution suite
- Create and modify new staging tables from various data connections
- Create custom flow controls based on run results
- Integration with virtually all build solutions in the market
QuerySurge for DevOps integrates with:
- Continuous integration/ETL solutions
- Automated build/release/deployment solutions
- Operations and DevOps monitoring solutions
- Test management/issue tracking solutions
- Scheduling and workload automation solutions
For more information on QuerySurge for DevOps, visit:
https://www.querysurge.com/solutions/querysurge-for-devops
How to Test Big Data Systems | QualiTest GroupQualitest
Big Data is perceived as a huge amount of data and information but it is a lot more than this. Big Data may be said to be a whole set of approach, tools and methods of processing large volumes of unstructured as well as structured data. The three parameters on which Big Data is defined i.e. Volume, Variety and Velocity describes how you have to process an enormous amount of data in different formats at different rates.
QualiTest is the world’s second largest pure play software testing and QA company. Testing and QA is all that we do! visit us at: www.QualiTestGroup.com
Testing Big Data: Automated Testing of Hadoop with QuerySurgeRTTS
Are You Ready? Stepping Up To The Big Data Challenge In 2016 - Learn why Testing is pivotal to the success of your Big Data Strategy.
According to a new report by analyst firm IDG, 70% of enterprises have either deployed or are planning to deploy big data projects and programs this year due to the increase in the amount of data they need to manage.
The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth.
Learn why testing your enterprise's data is pivotal for success with big data and Hadoop. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data - all with one data testing tool.
RTTS - the Software Quality Experts
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RTTS (www.rttsweb.com) RTTS is the premier pure-play QA & Testing organization
that specializes in Test Automation. Founded in 1996, with locations in
New York (HQ), Atlanta, Philadelphia, Phoenix, RTTS has successfully completed engagements at over 600 companies. RTTS also has alliances with the top vendors in QA and testing, including IBM, Microsoft, HP and Oracle.
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Services include:
- Managed Testing Services - in the Cloud or on your premises
- Test Management
- Automated Functional Testing
- Performance/Load Testing
- Data Warehouse/ETL Testing
- Big Data Testing
- Mobile Testing
- Application Security Testing
------------------------------------------------------------------------------------
- Training courses (in the Cloud, at our NY offices, or at your site)
+ Selenium training
+ IBM Rational RPT, RFT, RQM training
+ Appium training
+ Microsoft Visual Studio Load, Coded UI, Test Manager training
+ HP Quality Center/ALM UFT, Loadrunner training
+ Big Data Testing training
+ Data Warehouse Testing training
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RTTS also is the developer of QuerySurge (www.QuerySurge.com), the premier data testing tool
- Data warehouse testing
- ETL testing
- Big Data testing (Hadoop, MongoDB, etc.)
- Data Interface testing (SAP, PeopleSoft, etc.)
- Data Migration testing
- Database Upgrade testing
Testing Big Data application is more a verification of its data processing rather than testing the individual features. It demands a high level of testing skills as the processing is very fast.
Testing the Data Warehouse―Big Data, Big ProblemsTechWell
Data warehouses have become a popular mechanism for collecting, organizing, and making information readily available for strategic decision making. The ability to review historical trends and monitor near real-time operational data has become a key competitive advantage for many organizations. Yet the methods for assuring the quality of these valuable assets are quite different from those of transactional systems. Ensuring that the appropriate testing is performed is a major challenge for many enterprises. Geoff Horne has led a number of data warehouse testing projects in both the telecommunications and ERP sectors. Join Geoff as he shares his approaches and experiences, focusing on the key “uniques” of data warehouse testing including methods for assuring data completeness, monitoring data transformations, and measuring quality. He also explores the opportunities for test automation as part of the data warehouse process, describing how it can be harnessed to streamline and minimize overhead.
Testing the Data Warehouse―Big Data, Big ProblemsTechWell
Data warehouses have become a popular mechanism for collecting, organizing, and making information readily available for strategic decision making. The ability to review historical trends and monitor near real-time operational data has become a key competitive advantage for many organizations. Yet the methods for assuring the quality of these valuable assets are quite different from those of transactional systems. Ensuring that the appropriate testing is performed is a major challenge for many enterprises. Geoff Horne has led a number of data warehouse testing projects in both the telecommunications and ERP sectors. Join Geoff as he shares his approaches and experiences, focusing on the key “uniques” of data warehouse testing including methods for assuring data completeness, monitoring data transformations, and measuring quality. He also explores the opportunities for test automation as part of the data warehouse process, describing how it can be harnessed to streamline and minimize overhead.
Data warehouses have become a popular mechanism for collecting, organizing, and making information readily available for strategic decision making. The ability to review historical trends and monitor near real-time operational data has become a key competitive advantage for many organizations. Yet the methods for assuring the quality of these valuable assets are quite different from those of transactional systems. Ensuring that the appropriate testing is performed is a major challenge for many enterprises. Geoff Horne has led a number of data warehouse testing projects in both the telecommunications and ERP sectors. Join Geoff as he shares his approaches and experiences, focusing on the key “uniques” of data warehouse testing including methods for assuring data completeness, monitoring data transformations, and measuring quality. He also explores the opportunities for test automation as part of the data warehouse process, describing how it can be harnessed to streamline and minimize overhead.
Data summit connect fall 2020 - rise of data opsRyan Gross
Data governance teams attempt to apply manual control at various points for consistency and quality of the data. By thinking of our machine learning data pipelines as compilers that convert data into executable functions and leveraging data version control, data governance and engineering teams can engineer the data together, filing bugs against data versions, applying quality control checks to the data compilers, and other activities. This talk illustrates how innovations are poised to drive process and cultural changes to data governance, leading to order-of-magnitude improvements.
Iron Mountain Effortlessly Scales and Manages High Quality Demand GenerationIntegrate
Discover Iron Mountain's demand marketing secret to tripling nurture engagement rates, quadrupling scored MQLs and driving millions of dollars in sales pipeline.
Iron Mountain Incorporated (NYSE: IRM), the storage and information management company, published its first sustainability and corporate responsibility (CR) report in August 2014. The report provides an overview of the company’s commitment to workplace diversity, community involvement and environmental responsibility.
Iron Mountain’s CR report details the goals, activities, and early results of the company’s Taking CARE platform, which comprises these four areas.
Our Promise – Iron Mountain’s commitment to protecting its customers’ information and privacy, enabling them to focus on their core business;
Our People – The creation of an inclusive culture that allows Iron Mountain employees to reach their potential and to be guardians of the world’s most valuable information;
Our Environment - Iron Mountain’s efforts to limit its impact on the environment and partner with customers to aid their efforts in doing the same;
Our Community – Support of Iron Mountain’s local communities through employee volunteering and corporate philanthropy, including the protection of cultural and historical treasures.
What Your Customers Really Do Online: 5 Ways to Remove the GuessworkOptimizely
As digital marketers and experience leaders, we have increasingly reduced our customers to merely data points, line graphs, and bar charts.
The problem is that we are losing the necessary insight and experimentation to understand human behavior across digital channels. To uncover our customers’ true intent, and ultimately understand the behavioral impact on the bottom line, we need to start asking WHY.
In this webinar, hear from experts from Clicktale and Optimizely as they share experiences from working with brands like Samsung, Missguided, and RBS to uncover:
- What data and insights can uncover about customers’ digital behavior
- How to align metrics that look at measuring the experience, not just conversion
- How brands are scaling an approach to data, insights, and analytics across their organizations
- Best practices in ideation, A/B testing, and experimentation
eBay Partner Network & Optimizely: Optimization Best PracticesSejal Patel
eBay Partner Network partnered with Optimizely to share insights and best practices for optimization. What we covered:
-What a world-class testing program looks like and why it is so important for an increasingly digital age
-Best practices on how to implement a testing and optimization program
-Success stories from publishers that are leveraging testing to significantly increase conversions and revenue
Conducting the Experimentation OrchestraOptimizely
Join us to hear from Jill Brown Thomas, the head of the Optimization program at Wolverine Worldwide, as she discusses her own experience changing culture and building a testing program across 12 very different brands. From alignment on people, to building process, to buying technology, to changing and establishing new culture, Jill will discuss what works and what doesn’t, and what the future holds for Wolverine’s Optimization Journey.
Attend this webinar and:
-How to unify best practices across a portfolio of brands.
-A new model for uncovering what’s important to test from Optimizely’s solution partner Clearhead.
-New use cases for running experiments that move the needle.
How We Do It: Proven Website Personalization StrategiesOptimizely
Join us to learn the strategy behind Optimizely’s own personalization and experimentation program. You’ll leave with insights and tactical examples you can implement right away.
In this webinar you’ll learn:
- Why it’s important to incorporate experimentation into your personalization program to avoid common personalization pitfalls
- What metrics you should track to prove funnel impact and website engagement
- How to build a simple yet effective technology stack to bring your personalization strategy to life
Marketing in the Moment: Trends and Innovations in Real-Time Omni-Channel Mar...Ensighten
Presented by Dave Chaffey, CEO and Co-Founder, Smart Insights
Better understanding and acting on the holistic customer journey is paramount to success for today’s marketers. Reaching that goal, however, has become increasingly complicated due to an explosion of disparate technologies and fragmented data sources. How can marketers collect and stitch together the customer data they need, and then act upon that information to drive results? Join digital marketing expert Dave Chaffey as he discusses the latest trends, innovations and best practices for driving more timely and relevant interactions across touch points. Dave will discuss the opportunities and challenges for real-time personalization; give examples of what leading brands are doing today; and talk about how more and more brands are turning to the customer data platform (CDP) and other core technologies to accelerate their initiatives.
Digital Transformation and the Marketing ProfessionalMatthew W. Bowers
Defining and understanding digital transformation and the marketing role. How can marketing drive transformation? what are the tasks, strategies and things that can help.
What Your Customers Really Do Online: 5 Ways to Remove the GuessworkOptimizely
As digital marketers and experience leaders, we have increasingly reduced our customers to merely data points, line graphs and bar charts.
The problem is that we are losing the necessary insight and experimentation to understand human behaviour across digital channels. To uncover our customers’ true intent, and ultimately understand the behavioural impact on the bottom line, we need to start asking WHY.
Hear from experts from Clicktale and Optimizely as they share experiences from working with brands like Samsung, Missguided and RBS to uncover:
- What data and insights can uncover about customers’ digital behaviour
- How to align metrics that look at measuring the experience, not just conversion
- How brands are scaling an approach to data, insights and analytics across their organisations
- Best practices in ideation, A/B testing and experimentation
How to Turn Raw Data into Product Revenue by Retrofit PMProduct School
Most companies have a goldmine of data, yet lack the ability to know what to do with it. In this talk, Monica shared perspective on how to evaluate data, package it, and turn it in to additional revenue streams.
Main takeaways:
- Identify use cases for data.
- Turn those use cases in to product offerings.
- Create a pricing model & collect revenue.
Getting Started with Online-to-Offline Measurementbrandonwishnow
Although most marketers would agree that online-to-offline measurement is important for the future success of their business, it’s hard to know what steps to take to adopt this strategic initiative.
Ovative/group has found that when done correctly, online-to-offline addresses many of the most complex business problems by providing answers to questions such as: What is the impact of an online visit on offline sales? Does this impact vary by category or product type? What marketing channels influence offline most? And, can I use these channels to drive offline acquisition?
But how do you get started and ensure online-to-offline is a success for your organization? After attending this webinar featuring Ovative/group and LiveRamp you’ll understand:
– Why online-to-offline is important and how to prioritize it among other strategic initiatives
– Who within your organization needs to be involved and how to structure your team
– What technology is required to build online-to-offline measurement capabilities
– How to make digital marketing decisions based on enterprise metrics
Top 10 Ways To Improve Digital ExperiencesGoodbuzz Inc.
To find improvement opportunities that will have the biggest impact on the customer experience and business metrics, companies need to start their digital improvement projects by analyzing web and app analytics, operational data, and multiple forms of customer research.
A briefing on new marketing techniques and digital technologies that businesses should consider in 2018. Introduced with the Gartner Marketing Hype Cycle.
More and more Marketing Executives have come to realize that the traditional approach to budget allocation, by campaign and channel, does not match the way modern marketers seek to optimize the customer’s experience. As a result companies now focus more on investing along the different stages in the customer journey. In this webinar we will share best practices regarding the KPIs that can be used to track customer journey success.
More and more Marketing Executives have come to realize that the traditional approach to budget allocation, by campaign and channel, does not match the way modern marketers seek to optimize the customer’s experience. As a result companies now focus more on investing along the different stages in the customer journey. This webinar is organized by the B2B Marketing Forum in collaboration with Oracle Marketing Cloud.
Creative that Counts - Beth Sibbring from Tangible Impact at Columbus WAWTim Wilson
Beth Sibbring from Tangible Impact presented on "(digital) creative that counts" at the September 2017 Columbus Web Analytics Wednesday. The slides focus on digital display creative and outlines -- with examples -- what works and what doesn't (and why so many companies' processes lead to the latter).
Similar to Iron Mountain: Fueling Big Testing with Big Data - SiriusDecisions 2013 (20)
Creating Better Sales with Interactive Contention interactive
Senior Account Executive Benjamin Pitman discusses the benefits of sales and marketing alignment, and how you can leverage content insights to accelerate your sales cycle. Learn 3 ways that content allows for sales enablement; 3 tips for using interactivity to accelerate your sales cycle; How to use a solution finder for sales enablement; and How to leverage assessments for sales enablement.
How to Create Better Leads with Interactive Contention interactive
Is your content helping you build rich lead profiles that include content consumption, buyer business challenges, and readiness? In Part 4 of our ion Better Series, Creating Better Leads, we discussed how to boost your engagement and lead conversions with interactive content and strategic testing so your team is having better conversations with leads.
The ion “Better” Series_ Creating Better Engagemention interactive
Join us for Part 3, Creating Better Engagement, to learn:
- Exactly what engagement means to us, you, and your audience
- 3 benefits of using interactivity to create engagement
- 3 tips you need to know when using engagement within your content
- And finally, engagement measurement: the who, what, and how
ion "Better" Series Part 2: Creating Better Content Keynoteion interactive
In Part 2 of our "Better" Series, we focused on creating better content with interactivity. View the keynote to discover 3 benefits of using interactivity to boost your content marketing efforts; 3 tips on how to get the most out of your interactive content; and 3 examples of companies successfully using interactive content.
For the second in our three-part webinar series spotlighting specific interactive content types, we’ll turn our focus to interactive eBooks, a great tool for educating your users and allowing them to self-discover your product and services, while driving demand and helping them through your funnel.
View the slides to learn best practices, how to use eBooks effectively, tips for making content feel customized to your user, as well as customer examples of success.
Part One of our 6-part series on the interactive content funnel teaches you how to create better awareness. Here, you'll learn 4 benefits of using interactive content to support Awareness and discovery, as well as 2 types of interactive content we use to drive and measure Awareness.
Interactive infographics are the most popular type of interactive content, so let us teach you everything you need to know!
Watch and learn: How to identify good starter static content perfect for an interactive infographic; Industry best practices for structuring and organizing content for interactivity; Steps to get started and selecting one of our Quick Start templates; Snapshot of success stories and customer results; And more!
Here at ion, we believe the future is ours and in keeping with our values, we invite you to watch our 2018 trends webinar - “Top 2018 Trends and Predictions” recorded on January 24.
This hour-long session highlighted three critical trends in content marketing that you need to act on PLUS perspectives from our experts in customer engagement, product marketing, sales, and content strategy. Are you ready for 2018?
LEARN ABOUT THE ION + SCRIBBLELIVE OPPORTUNITY.
ion and ScribbleLive coming together opens up new, exciting content opportunities for you and your organization. ion will remain focused on helping you deliver amazing interactive content experiences, but together we’re going to be able to do a lot more.
In this presentation, we introduce you to ScribbleLive’s content experience platform, which helps you manage the full lifecycle of your content — from ideation to planning, creation, distribution and measurement. And, we show you what the combination of ion + ScribbleLive means to the future of your content experiences.
How to Launch a Successful Interactive Content Program Nowion interactive
One of the common goals we overheard at Content Marketing World was increased engagement.
With more content being created than ever before, it's becoming harder than ever to stand out amongst all the news. Interactive content increases engagement by placing customers in the driver's seat of the way they view your content. During this webinar ion interactive Director of Customer Engagement Audrey Ross and Content Strategist Stephanie Mansueto will share practical tips on how you can implement an interactive content marketing program that increases engagement.
Here are some other topics that will be covered during the webinar:
- What marketers are learning about their prospects and customers with interactive content.
- How interactive content changes the way you engage with your audience.
- Why interactive content is a necessary part of your content strategy.
- Examples of successful interactive content marketing strategies and how they could fit into yours.
How to Use Interactive Content to Tell Your Story & Accelerate the Buyer's Jo...ion interactive
A compelling content marketing strategy answers the who, what, why, where, and when questions of content creation. In order to capture our audience's attention, we must deliver the right content, to the right people at the right time in their journey.
Interactive content clears the path for marketers who are seeking to move prospects through their journey faster. Using a digital dialogue of increasing relevance and personalization, interactive content builds engagement and education more memorably than traditional static content and storytelling. This presentation showcases real-world examples of interactive content success at each stage of the buyer’s journey.
Motivate and Accelerate Lead-to-Revenue Velocity
Interactive content identifies and capitalizes on buyers' points of interest to accelerate demand.
ion interactive co-founder Anna Talerico takes you through ion’s real-world demand generation program that uses interactive content to motivate buyers and shorten their journey from prospect to customer.
- Learn how to use interactive content to align with the buyer's journey.
- Go beyond theory with a peek into our nurture program's real-world examples.
- Today’s buyers are doing their research and evaluating before engaging with sales. We show you how to meet these self-guided buyers at their point of interest with your content.
Learn how to mix interactive and static content into a cohesive program.
According to Content Marketing Institute, 87% of marketers agree that interactive content is more effective than static content at grabbing attention. Learn how to use that in your demand-gen programs.
Interactive content for demand generation
Interactive content identifies and capitalizes on buyers’ points of interest to accelerate demand. In this session we'll share an example of a real-world demand generation program that uses interactive content to motivate buyers to accelerate their journey from prospect to customer.
Anna Talerico shares the strategies and tactics driving results in 2017.
Research shows a clear path to success. And, as usual, that’s the topic of our biggest webinar of the year!
ion co-founder Anna Talerico gives us her 2017 Interactive Content Marketing Trends presentation. Get the strategies and tactics proven to be…
- 94% more effective at conversion
- 60% more effective at differentiation
- 33% more effective at educating buyers
- 120% more effective at getting shared
The future of content marketing is interactive digital experience. And in 2017, the future is now.
75% of content marketers are doing more interactive content going forward. Find out why. And find out how.
The tactical ins and outs of actually making it happen.
WHAT SHOULD YOU BUILD?
WHERE SHOULD YOU LAUNCH IT?
WHAT RESOURCES & TOOLS DO YOU NEED?
HOW MUCH TIME SHOULD YOU INVEST?
WHAT MEASUREMENT CAN YOU EXPECT?
We give you answers to some of the most challenging interactive content questions. Learn the tactical ins and outs of getting an interactive content program off the ground, followed by a brief product demo of the leading interactive content marketing platform.
- Resources, Time and Planning
- TCO—Launching and Maintaining
- Evolution and Customization
- Data Opportunities and Management
Research and performance show that interactive content captures attention, engages, converts and profiles leads better than static content. The hurdle has always been making it happen.
Deliver Engaging Content to Your Buyers: A Tale of Two Journeysion interactive
Buyers want more.
More access to more information before they talk to sales. More useful content that they can trust. More self discovery. More control.
BUT NOT MORE CONTENT.
Successful marketers are evolving to give buyers what they want across their journey. More static content is not the answer. Usefulness and utility separate an engaging interactive dialogue from a passive one.
This presentation will guide you through:
- Contrasting static and interactive buyer journeys
- How interactive content can support every stage of the journey with social sharing, lead generation, demand generation, sales enablement and inbound generation
- Using an interactive dialogue to provide rich, explicit insights for lead scoring, sales outreach and marketing segmentation
Boost Your Results with Innovative Landing Pagesion interactive
A Look at Next-Generation Landing Pages that Convert Higher Quality Leads
ion co-founder and landing page pioneer, Anna Talerico takes you through today’s most innovative, next-generation landing pages. Learn how a whole new class of first impressions is capturing the attention and data of the web’s highest quality leads.
Moving beyond forms on pages
Teasing with content
Engaging with interactivity
Brand new examples — hot off the press
See how a new breed of landing pages is differentiating and performing beyond expectations.
How a Content Marketing Company Does Content Marketingion interactive
Uberflip’s VP of Marketing, Hana Abaza and ion co-founder Anna Talerico come together for a content packed, content marketing presentation.
Get the inside scoop from a company that produces hundreds of webinars, thousands of blog posts and many more leads. Hana and Anna take you through:
- Goals and Strategy
- Content Marketing Cycle
- Planning and Process
- Execution and Evaluation
Learn how to use content to raise awareness, boost engagement and fuel lead and demand generation by focusing on more than just great content. We show you what a quality content experience looks like and how that experience differentiates your content from the rest.
Get the roadmap you need to put your content marketing program on the fast track to success.
Interactivate Your Content Marketing
ion can help you generate real business value — more leads, higher lead quality, and deeper buyer profiles — using interactive content marketing.
Marketers can learn from software developers to harness—rather than struggle against—the dynamics of a digital world.
Scott Brinker says of Hacking Marketing, “My goal was to help marketers at all levels—even those with no technical background or inclination—adapt marketing management to the wild and wonderful whirlwind of a world now dominated by software.”
“When you realize that marketers are now paddling water up to their chins in websites (software), analytics (software), social media (software), marketing automation (software), interactive content (software), mobile apps (software), and so on, it starts to seem obvious. Software has eaten the world—and marketing too.”
“To effectively harness the digital forces of software, we must not only innovate what we produce in marketing, but innovate how we produce it too.”
“It’s time to rethink marketing management for a software-powered world.”
Learn how in this presentation by Scott Brinker @chiefmartec
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
https://viralsocialtrends.com/vat-registration-outlined-in-uae/
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RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Kseniya Leshchenko: Shared development support service model as the way to ma...Lviv Startup Club
Kseniya Leshchenko: Shared development support service model as the way to make small projects with small budgets profitable for the company (UA)
Kyiv PMDay 2024 Summer
Website – www.pmday.org
Youtube – https://www.youtube.com/startuplviv
FB – https://www.facebook.com/pmdayconference
What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
3. 3
Big data
Collect and organize data and wield tools to extract information and insight
from it. This is the part that big data has to offer. But some of the most
valuable output from such data analytics will be mere hypotheses —
interesting correlations of factors and behaviors in ever-more-finely-
sliced customer segments that may have meaningful impact. But
these are only seeds of ideas, possibilities
4. 4
Attract Engage
Convert
Conversion Optimization
Objective: Perpetually optimize webpages to engage users and produce the highest
volume of quality leads at the lowest cost.
Optimization data helps us gain an understanding of what attracts, engages and
converts visitors to sales and sales.
Optimization happens here.
Optimization
starts here.
Optimization happens here.
5. 5
Big testing
Take those hypotheses and be able to quickly and effectively test them to
prove cause-and-effect: that those factors can indeed be leveraged to
influence customer behavior. Empowering many people throughout your
organization to run these tests — and to fearlessly test big ideas — is a
large-scale transformation to organizational behavior and culture that we
can call big testing.
8. 8
ion software& services
PPC Landing Pages
DemandBase: Targeting, Personalization, Data Append
Optimizely:
IM.com optimization without IT bottlenecks
The Optimization Technology “Trifecta”
9. 9
Big experience
Apply your targeted data and proven tests towards delivering better
customer experiences — through the web, mobile devices, call centers, in-
store and in-person interactions, etc. It’s not just making the same
experience better for everyone. It’s delivering more specialized experiences
to many different customer segments. This mission is big experience.
12. 12
Dial Movers
Contact Forms
Chat
PPC & Campaign Landing Pages
High Traffic Pages (Tier 1 Pages, Home
Page)
SEO Entry pages
Influencers
Knowledge Center
Mobile website
CTAs – Design
Primary & Secondary Navigation
Footer Design
STEP 1: Define Optimization Targets
1 2
13. 13
Macro Conversions:
Contact Sales
Click to Chat
Call
Register for a KC download
Convert on a campaign landing page
Micro:
Click a link
Click a CTA
Social Shares
View additional content
Perform a search
STEP 2: Define Conversions
1 2
CONVERT ENGAGE
14. 14
Discover
Evaluate current messages, offers,
campaigns and designs
Plan
Determine execution strategy and goals
Document roadmap (Key milestones
dependencies, dates)
Execute
Design using 25 point R.E.A.D.Y optimization
framework
Code & Deploy
Analyze
Evaluate traffic and source performance
Determine areas of opportunity
Repeat
STEP 3: Create a Playbook for Each
Discover
Plan
ExecuteAnalyze
Repeat
22. 22
Challenge
Each team will design a variation of a homepage banner and it’s
associated landing page.
The 3 variations and the control will go head to head.
At the end of test, the variation with the highest conversion rate will
be declared the winner. The winning team will be awarded an
obnoxious trophy to proudly display until they are dethroned.
Optimization Challenge
23. 23
Teams
1. Shared Services/Axis41
2. The Web Team (minus Tom and Eric)
3. ION Interactive
(Eric will deploy and test all variations)
Optimization Challenge
27. 27
Q1 Optimization Summary
• # of Optimization Tests Performed 23
• Increase in engagement 82%
• Total number of participants 179k
• Increase in form conversion rate 40%
• Sales Form
• +25% increase in traffic
• 23% conversion rate
• 219% YoY increase