The document discusses how manufacturers can effectively demonstrate their quality to buyers. It argues that manufacturers should openly share quantifiable quality metrics and real-time data with buyers, rather than just compulsory statistics, to differentiate themselves and build trust. Capturing and monitoring the right production process data can help identify and address quality issues more quickly. The document advocates extending quality monitoring throughout the entire supply chain for improved results.
Prove It: Making the Case for ExperimentationOptimizely
In the webinar, we’ll cover:
- Steps to build your own business case for experimentation
- Key considerations in estimating your ROI on future experiments
- Mistakes to avoid in building an experimentation program
- Exclusive insights from our research with Harvard and Duke on how experimentation positively affects innovation and success
ISM Silicon Valley Webinar Spend Analysis Key to Purchasing SuccessBill Kohnen
Presentation including questions and answers from webinar cosponsored by ISM Silicon Valley and purchasing solution provider Cloud Buy. Discussion of why Spend Analysis is the most important process for business to business purchasing professionals and what criteria should be considered when considering options. Includes contact information for free trial.
Gramener is always on the lookout for talent who like to work with numbers and aspire to be the Algorithm Translators.
This deck is presented to cohorts at IIM's and other B School as part of Gramener company overview session.
Content Targeting and Personalization: Improving Engagement at the Account LevelG3 Communications
"With buyer engagements shifting online, B2B marketers need to deliver digital experiences that resonate with TARGET businesses, differentiate themselves from their competitors, and accelerate the sales cycle. Web analytics, targeting tools and content systems are now adapting to this new B2B buyer, as companies are learning how to engage and connect content to target audiences in order to nurture and accelerate leads to sales. Hear how Adobe has embarked on a journey to connect data from analytics, testing tools and visitor identification technologies to understand their targets, personalize their web experiences and better serve content to the accounts that are not only most likely to convert, but also most likely to buy.
Top tactics for identifying, engaging and converting visitors from your most important web segments Identify the top conversion metrics to pay attention to and optimize against Learn how to engage visitors—and keep them engaged—utilizing personalization technology"
Experimentation Excellence Webinar Series: Time to scale upOptimizely
Good to great: Time to scale up
If you have already started to transform your digital customer experiences. Now is the time to move on from A/B testing and start experimenting efficiently and at real scale, maximizing ROI. Do you know the ideal number of experiments for this stage of your journey? Answer: 111 per year.
If you’re ready to up your experimentation game, you’re in the right place. This webinar will help you plan an effective experimentation pipeline to dial up the number of experiments you run - based on overall business objectives and ROI.
What you'll learn:
- How to scale the number, depth and quality of experiments
- Why you need to shed legacy technology – and how to build your own technology stack.
- How to build a culture of experimentation that drives buy-in across the board.
Intuit - How to Scale Your Experimentation ProgramOptimizely
Here’s the playbook Intuit uses to increase its experimentation velocity — even when they face traffic limitations.
Mike Loveridge is not new to running experimentation teams. Before Intuit, he built out programs at Ancestry.com, GE, Humana, and CheapOair. He's an expert at making experimentation work at high velocity, even in traffic-challenged situations.
In this webinar, Mike Loveridge shared his best practices for making CRO work at high velocity, key lessons from scaling multiple teams, and why he's bullish on the future of "test and learn".
Take Your Experimentation Program to the Next LevelOptimizely
Are you already running experiments at scale and think there is nothing left to learn? Well, first of all congratulations. And second, think again.
Because when it comes to the number of experiments you run, more is always more. Join this webinar to find out why there are no limits to experimentation – and how you can keep on making tangible progress.
This webinar will show you:
- How to embed ownership of experimentation into each and every team
- How to keep the experimentation engine running with fresh and creative testing ideas
- How to embed a winning experimentation culture across the entire business
Prove It: Making the Case for ExperimentationOptimizely
In the webinar, we’ll cover:
- Steps to build your own business case for experimentation
- Key considerations in estimating your ROI on future experiments
- Mistakes to avoid in building an experimentation program
- Exclusive insights from our research with Harvard and Duke on how experimentation positively affects innovation and success
ISM Silicon Valley Webinar Spend Analysis Key to Purchasing SuccessBill Kohnen
Presentation including questions and answers from webinar cosponsored by ISM Silicon Valley and purchasing solution provider Cloud Buy. Discussion of why Spend Analysis is the most important process for business to business purchasing professionals and what criteria should be considered when considering options. Includes contact information for free trial.
Gramener is always on the lookout for talent who like to work with numbers and aspire to be the Algorithm Translators.
This deck is presented to cohorts at IIM's and other B School as part of Gramener company overview session.
Content Targeting and Personalization: Improving Engagement at the Account LevelG3 Communications
"With buyer engagements shifting online, B2B marketers need to deliver digital experiences that resonate with TARGET businesses, differentiate themselves from their competitors, and accelerate the sales cycle. Web analytics, targeting tools and content systems are now adapting to this new B2B buyer, as companies are learning how to engage and connect content to target audiences in order to nurture and accelerate leads to sales. Hear how Adobe has embarked on a journey to connect data from analytics, testing tools and visitor identification technologies to understand their targets, personalize their web experiences and better serve content to the accounts that are not only most likely to convert, but also most likely to buy.
Top tactics for identifying, engaging and converting visitors from your most important web segments Identify the top conversion metrics to pay attention to and optimize against Learn how to engage visitors—and keep them engaged—utilizing personalization technology"
Experimentation Excellence Webinar Series: Time to scale upOptimizely
Good to great: Time to scale up
If you have already started to transform your digital customer experiences. Now is the time to move on from A/B testing and start experimenting efficiently and at real scale, maximizing ROI. Do you know the ideal number of experiments for this stage of your journey? Answer: 111 per year.
If you’re ready to up your experimentation game, you’re in the right place. This webinar will help you plan an effective experimentation pipeline to dial up the number of experiments you run - based on overall business objectives and ROI.
What you'll learn:
- How to scale the number, depth and quality of experiments
- Why you need to shed legacy technology – and how to build your own technology stack.
- How to build a culture of experimentation that drives buy-in across the board.
Intuit - How to Scale Your Experimentation ProgramOptimizely
Here’s the playbook Intuit uses to increase its experimentation velocity — even when they face traffic limitations.
Mike Loveridge is not new to running experimentation teams. Before Intuit, he built out programs at Ancestry.com, GE, Humana, and CheapOair. He's an expert at making experimentation work at high velocity, even in traffic-challenged situations.
In this webinar, Mike Loveridge shared his best practices for making CRO work at high velocity, key lessons from scaling multiple teams, and why he's bullish on the future of "test and learn".
Take Your Experimentation Program to the Next LevelOptimizely
Are you already running experiments at scale and think there is nothing left to learn? Well, first of all congratulations. And second, think again.
Because when it comes to the number of experiments you run, more is always more. Join this webinar to find out why there are no limits to experimentation – and how you can keep on making tangible progress.
This webinar will show you:
- How to embed ownership of experimentation into each and every team
- How to keep the experimentation engine running with fresh and creative testing ideas
- How to embed a winning experimentation culture across the entire business
Explainability for Natural Language ProcessingYunyao Li
Final deck for our popular tutorial on "Explainability for Natural Language Processing" at KDD'2021. See links below for downloadable version (with higher resolution) and recording of the live tutorial.
Title: Explainability for Natural Language Processing
Presenter: Marina Danilevsky, Shipi Dhanorkar, Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu
Website: http://xainlp.github.io/
Recording: https://www.youtube.com/watch?v=PvKOSYGclPk&t=2s
Downloadable version with higher resolution: https://drive.google.com/file/d/1_gt_cS9nP9rcZOn4dcmxc2CErxrHW9CU/view?usp=sharing
@article{kdd2021xaitutorial,
title={Explainability for Natural Language Processing},
author= {Marina Danilevsky, Shipi Dhanorkar and Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu},
journal={KDD},
year={2021}
}
Abstract:
This lecture-style tutorial, which mixes in an interactive literature browsing component, is intended for the many researchers and practitioners working with text data and on applications of natural language processing (NLP) in data science and knowledge discovery. The focus of the tutorial is on the issues of transparency and interpretability as they relate to building models for text and their applications to knowledge discovery. As black-box models have gained popularity for a broad range of tasks in recent years, both the research and industry communities have begun developing new techniques to render them more transparent and interpretable.Reporting from an interdisciplinary team of social science, human-computer interaction (HCI), and NLP/knowledge management researchers, our tutorial has two components: an introduction to explainable AI (XAI) in the NLP domain and a review of the state-of-the-art research; and findings from a qualitative interview study of individuals working on real-world NLP projects as they are applied to various knowledge extraction and discovery at a large, multinational technology and consulting corporation. The first component will introduce core concepts related to explainability inNLP. Then, we will discuss explainability for NLP tasks and reporton a systematic literature review of the state-of-the-art literaturein AI, NLP and HCI conferences. The second component reports on our qualitative interview study, which identifies practical challenges and concerns that arise in real-world development projects that require the modeling and understanding of text data.
The Wall Street Journal - Optimizing MembershipOptimizely
For the past three years, The Wall Street Journal has used experimentation to help create their membership experience. Starting with acquisition and expanding to engagement, product, and retention testing, WSJ has built a data-driven culture that leverages these experiments to deliver a premium experience that grows their base and keeps members coming back for more.
In this webinar, Olivia Simon from The Wall Street Journal’s optimization team shares how WSJ created their robust and successful testing program.
You’ll learn:
How to think about testing in a membership ecosystem
How WSJ prioritizes tests and earns stakeholder buy-in
About WSJ’s emphasis on testing throughout the customer acquisition funnel
How WSJ expanded their testing funnel beyond acquisition, and the key testing moments they target for consumer engagement and retention
Making a Quantum Leap with Continuous Analytics-Based QACognizant
By correlating analytics data across the IT lifecycle, enterprises can design and implement a level of testing that improves predictive mechanisms and anticipates ever-changing business needs.
Making Your Hypothesis Work Harder to Inform Future Product StrategyOptimizely
At Treatwell, each experiment goes beyond improving a single business metric. Experimentation works to evolve their product while enriching customer insights in order to deliver the best digital experience to their users. Join Laura Howard, Lead Product Manager, and Dennis Meisner, Senior Product Analyst, to learn their secret to making their hypothesis work harder and how getting their hypothesis right has improved Treatwell’s funnel progression and order health, as well as helped them make critical decisions on their product experience.
How to Prepare for 5-Minute Settlement: Everything Utilities Traders Need to ...Kaitlyn Hurley
To view as a webinar, visit: https://www.allegrodev.com/resources/5-minute-settlement-webinar/
This presentation will help utilities traders learn how to navigate volatile energy markets during the 5-Minute Settlement Era.
Discover how advanced analytics drives profit for commodity trading companies and the latest market trends for increasing business efficiency and profitability.
Defining Outside-in Processes: Summary of As Is and To Be WorkLora Cecere
In January, I kicked off a cross-industry collaborative effort with seven business leaders, four academics, a SCOR master from APICS, and o9. The project is named Project Zebra. The concept for the naming is the goal of helping Supply Chain Leaders change their stripes by rethinking planning concepts.
My goal? The focus is the design and test of outside-in processes. The group reached the milestone of documenting the "as is" and "to be" documentation at the end of June. The focus is now on testing. The next step is to test the market-driven demand management concept with BSH Home Appliances and the Market-driven Knowledge Graph with Western Digital.
These results to publish in September 2021. With the pandemic, companies want to sense and respond using market data, but there is no clear roadmap outlining value to drive enablement. The hope is for this project to fill this gap.
How to make data-driven interactive PowerPoint presentations for operationsGramener
Interactive data-driven presentations are a new way of presenting data. They allow the presenter and the audience to engage actively and drill into the data within PowerPoint.
Author: S. Anand - CEO, Gramener
Check out the full webinar on the topic: https://info.gramener.com/interactive-powerpoint-for-operations
Magento Meetup New Delhi- AB Testing
This slide is all about AB testing and this slide is having details about-
What is AB testing?
Why to opt AB testing?
How to do AB testing?
Outperform Webinar Series: How to Capture Your Customers at the Top of the Fu...Optimizely
How to Capture Your Customers at the Top of the Funnel
Website metrics, like purchases and form submissions, are top of mind for marketers—but how can you impact those key metrics if users leave as soon as they land on your website?
Join Optimizely’s lead strategy consultant, Alek Toumert, to learn how to engage visitors the moment they arrive at your site through experimentation.
Zillow + Optimizely: Building the Bridge to $20 Billion RevenueOptimizely
Join Jason Tabert, Senior CRO Marketing Specialist, and learn how Zillow is using Optimizely’s experimentation, personalization and integrations to help grow their revenue to $20 billion by helping their customers cross the real estate chasm from despair to delight.
Evolving Experimentation from CRO to Product DevelopmentOptimizely
An obsession with data, efficiency, and delivering incredible customer experiences are just a few things that the CNN Consumer Science and Software Engineering teams have in common. Simple A/B testing practices evolved into a culture of experimentation, sparking new development practices across the organization. Learn how they drive results across their entire platform from websites to mobile apps.
Data Science for Small Business: Make Your Business SmarterKavika Roy
https://www.datatobiz.com/blog/data-science-for-small-business/
SMEs or small and micro enterprises form an integral part of a country’s economy. In India alone, the sector is said to have employed around 111.4 million people in the year 2014, and in 2012 it contributed 37.5% to the GDP. But, the irony is that even after being such an important part of the economy, SMEs are not able to flourish as they should have. There is a major lack of strategic business planning and innovation that hinders their growth.
In order for the SMEs to remain competitive both nationally and globally, it is imperative that every SME owner investigates the lacuna and starts working on it. Developing economies such as ours often find it difficult to foster innovation in the SME sector, because there are other factors that need the government’s attention.
The major problems faced by SMEs include unskilled staff, irregular finances, poor infrastructure, old marketing strategies and lack of information.
An SME owner tries to tackle all the issues but neglects an important one. This factor is “information”. Even after having skilled people, a good flow of money and good infrastructure the business may cease to flourish as expected by the owner.
Explainability for Natural Language ProcessingYunyao Li
Final deck for our popular tutorial on "Explainability for Natural Language Processing" at KDD'2021. See links below for downloadable version (with higher resolution) and recording of the live tutorial.
Title: Explainability for Natural Language Processing
Presenter: Marina Danilevsky, Shipi Dhanorkar, Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu
Website: http://xainlp.github.io/
Recording: https://www.youtube.com/watch?v=PvKOSYGclPk&t=2s
Downloadable version with higher resolution: https://drive.google.com/file/d/1_gt_cS9nP9rcZOn4dcmxc2CErxrHW9CU/view?usp=sharing
@article{kdd2021xaitutorial,
title={Explainability for Natural Language Processing},
author= {Marina Danilevsky, Shipi Dhanorkar and Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu},
journal={KDD},
year={2021}
}
Abstract:
This lecture-style tutorial, which mixes in an interactive literature browsing component, is intended for the many researchers and practitioners working with text data and on applications of natural language processing (NLP) in data science and knowledge discovery. The focus of the tutorial is on the issues of transparency and interpretability as they relate to building models for text and their applications to knowledge discovery. As black-box models have gained popularity for a broad range of tasks in recent years, both the research and industry communities have begun developing new techniques to render them more transparent and interpretable.Reporting from an interdisciplinary team of social science, human-computer interaction (HCI), and NLP/knowledge management researchers, our tutorial has two components: an introduction to explainable AI (XAI) in the NLP domain and a review of the state-of-the-art research; and findings from a qualitative interview study of individuals working on real-world NLP projects as they are applied to various knowledge extraction and discovery at a large, multinational technology and consulting corporation. The first component will introduce core concepts related to explainability inNLP. Then, we will discuss explainability for NLP tasks and reporton a systematic literature review of the state-of-the-art literaturein AI, NLP and HCI conferences. The second component reports on our qualitative interview study, which identifies practical challenges and concerns that arise in real-world development projects that require the modeling and understanding of text data.
The Wall Street Journal - Optimizing MembershipOptimizely
For the past three years, The Wall Street Journal has used experimentation to help create their membership experience. Starting with acquisition and expanding to engagement, product, and retention testing, WSJ has built a data-driven culture that leverages these experiments to deliver a premium experience that grows their base and keeps members coming back for more.
In this webinar, Olivia Simon from The Wall Street Journal’s optimization team shares how WSJ created their robust and successful testing program.
You’ll learn:
How to think about testing in a membership ecosystem
How WSJ prioritizes tests and earns stakeholder buy-in
About WSJ’s emphasis on testing throughout the customer acquisition funnel
How WSJ expanded their testing funnel beyond acquisition, and the key testing moments they target for consumer engagement and retention
Making a Quantum Leap with Continuous Analytics-Based QACognizant
By correlating analytics data across the IT lifecycle, enterprises can design and implement a level of testing that improves predictive mechanisms and anticipates ever-changing business needs.
Making Your Hypothesis Work Harder to Inform Future Product StrategyOptimizely
At Treatwell, each experiment goes beyond improving a single business metric. Experimentation works to evolve their product while enriching customer insights in order to deliver the best digital experience to their users. Join Laura Howard, Lead Product Manager, and Dennis Meisner, Senior Product Analyst, to learn their secret to making their hypothesis work harder and how getting their hypothesis right has improved Treatwell’s funnel progression and order health, as well as helped them make critical decisions on their product experience.
How to Prepare for 5-Minute Settlement: Everything Utilities Traders Need to ...Kaitlyn Hurley
To view as a webinar, visit: https://www.allegrodev.com/resources/5-minute-settlement-webinar/
This presentation will help utilities traders learn how to navigate volatile energy markets during the 5-Minute Settlement Era.
Discover how advanced analytics drives profit for commodity trading companies and the latest market trends for increasing business efficiency and profitability.
Defining Outside-in Processes: Summary of As Is and To Be WorkLora Cecere
In January, I kicked off a cross-industry collaborative effort with seven business leaders, four academics, a SCOR master from APICS, and o9. The project is named Project Zebra. The concept for the naming is the goal of helping Supply Chain Leaders change their stripes by rethinking planning concepts.
My goal? The focus is the design and test of outside-in processes. The group reached the milestone of documenting the "as is" and "to be" documentation at the end of June. The focus is now on testing. The next step is to test the market-driven demand management concept with BSH Home Appliances and the Market-driven Knowledge Graph with Western Digital.
These results to publish in September 2021. With the pandemic, companies want to sense and respond using market data, but there is no clear roadmap outlining value to drive enablement. The hope is for this project to fill this gap.
How to make data-driven interactive PowerPoint presentations for operationsGramener
Interactive data-driven presentations are a new way of presenting data. They allow the presenter and the audience to engage actively and drill into the data within PowerPoint.
Author: S. Anand - CEO, Gramener
Check out the full webinar on the topic: https://info.gramener.com/interactive-powerpoint-for-operations
Magento Meetup New Delhi- AB Testing
This slide is all about AB testing and this slide is having details about-
What is AB testing?
Why to opt AB testing?
How to do AB testing?
Outperform Webinar Series: How to Capture Your Customers at the Top of the Fu...Optimizely
How to Capture Your Customers at the Top of the Funnel
Website metrics, like purchases and form submissions, are top of mind for marketers—but how can you impact those key metrics if users leave as soon as they land on your website?
Join Optimizely’s lead strategy consultant, Alek Toumert, to learn how to engage visitors the moment they arrive at your site through experimentation.
Zillow + Optimizely: Building the Bridge to $20 Billion RevenueOptimizely
Join Jason Tabert, Senior CRO Marketing Specialist, and learn how Zillow is using Optimizely’s experimentation, personalization and integrations to help grow their revenue to $20 billion by helping their customers cross the real estate chasm from despair to delight.
Evolving Experimentation from CRO to Product DevelopmentOptimizely
An obsession with data, efficiency, and delivering incredible customer experiences are just a few things that the CNN Consumer Science and Software Engineering teams have in common. Simple A/B testing practices evolved into a culture of experimentation, sparking new development practices across the organization. Learn how they drive results across their entire platform from websites to mobile apps.
Data Science for Small Business: Make Your Business SmarterKavika Roy
https://www.datatobiz.com/blog/data-science-for-small-business/
SMEs or small and micro enterprises form an integral part of a country’s economy. In India alone, the sector is said to have employed around 111.4 million people in the year 2014, and in 2012 it contributed 37.5% to the GDP. But, the irony is that even after being such an important part of the economy, SMEs are not able to flourish as they should have. There is a major lack of strategic business planning and innovation that hinders their growth.
In order for the SMEs to remain competitive both nationally and globally, it is imperative that every SME owner investigates the lacuna and starts working on it. Developing economies such as ours often find it difficult to foster innovation in the SME sector, because there are other factors that need the government’s attention.
The major problems faced by SMEs include unskilled staff, irregular finances, poor infrastructure, old marketing strategies and lack of information.
An SME owner tries to tackle all the issues but neglects an important one. This factor is “information”. Even after having skilled people, a good flow of money and good infrastructure the business may cease to flourish as expected by the owner.
Data Science Process: Resolve Business Problems SmartlyKavika Roy
https://www.datatobiz.com/blog/data-science-process-solve-business-problem/
Whether you run an empire or a small enterprise, every business faces certain common problems and hitches. The questions like, How do I improve my sales? What is my organization lacking? What to do when old customers are not purchasing my product? What ought to be done with a specific end goal to pull in more clients?
And much more such, often boggle a business owner’s mind. If this is the case with you as well, then there is definitely a path that can offer you a cutting edge over the others and it doesn’t take much effort in guessing what it is. Yes, I am talking about “data science” something that is taking over the corporate world with its capability to make complex things simple.
To understand the applications in a better way, you may look at the working model of big tycoons like Amazon, Uber, Netflix, Starbucks, etc. They all utilize Big data analytics to refine their marketing, manage their finances, predict frauds, evaluate the viewing habits of millions of clients, etc.
This is how Uber is able to provide the easy-to-book cab service and Starbucks does not suffer losses even after having three shops at the same location. Isn’t it mesmerizing as to what all data science can do?
The next question coming to your mind would be how to incorporate the data science process into your particular business module? Or how is this prediction even possible?
Do not worry, all your queries will be answered. But before moving ahead we must understand the basic concept of data science and the fields it merges together.
A data scientist combines concepts of, statistics, analytics, data processing, machine learning, predictive analysis, basic mathematics and computer science, to bring out the desired outcome that can benefit your business.
Do you run a business or work with the management closely? Have you ever thought about why sales numbers are going down? Is your operational cost going up? Why is it becoming harder day by day to retain clients? Why are customers flocking for competitors’ products? – In case you’ve ever been bothered with any of these types of questions, then you do understand the importance of data.
With the technology revolution, the operational aspect of businesses has changed drastically. Data is the new gold. He who knows how to churn out the insights and intel will beat all the competition. Data Science is the methodology for retrieving valuable information from the stockpile of data.
Trying to figure out if embedded analytics are for you?
According to Gartner Research, more than 90% of business leaders view content information as a strategic asset, yet fewer than 10% can quantify its economic value. Read this guide to learn why you should be leveraging an asset you already own--data--to build relationships, increase retention, and drive revenue.
Giving Organisations new capabilities to ask the right business questions 1.7OReillyStrata
This presentation takes the seminal work structured analytic techniques work pioneered within US intelligence, and proposes adaptions and simplifications for use within commercial enterprises
Chapter 10 Tools and Techniques for Quality Management.pptDr. Nazrul Islam
QMS have sub-elements, or tools, that enable users to tailor its use to specific project needs. There are seven conventional QMS tools: flow charts, Ishikawa diagrams, checklists, Pareto charts, histograms, scattergrams, and control charts.
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.
In today’s global marketplace, successful companies must be able to integrate and quickly view quality audit information from their manufacturing sites all over the world. This strategic capability has become even more important as manufacturers have moved offshore and have become more complex. The value and immediacy of quality assurance data is a critical element to the survival of competitive manufacturing organizations. Software systems can address these issues.
Source:
Lyons Information Systems, Inc
http://www.lyonsinfo.com
Tools and Techniques for Quality ManagementNazrul Islam
The tools and techniques most commonly used in Quality management and process improvement are: Cause and effect diagram. Control Charts. Histogram. Pareto Charts.
Clover Rings Up Digital Growth to Drive ExperimentationOptimizely
Clover's Digital Growth team is responsible for optimizing the merchant's digital experience and they rely on experimentation to guide digital decision-making. This enables them to quickly learn and measure what changes deliver the best outcomes for users.
Join us with Lead Product Manager of Growth, Monil Shah, to learn how Clover:
- Increased digital conversions amongst merchants with an investment in experimentation
- Grew experiment velocity by 4x after replacing Adobe Target
- Designed a framework to efficiently capture and prioritize test ideas, and roll out winners
OberservePoint - The Digital Data Quality PlaybookObservePoint
There is a big difference between having data and having correct data. But collecting correct, compliant digital data is a journey, not a destination. Here are ten steps to get you to data quality nirvana.
In the recent past, we have learnt that data is the lifeline of any business and it is really important to collect data, more and more of it. But no one is telling us what to do with large volumes of data.
Shailendra has successfully delivered over One Billion Dollars in incremental value and will spend 30 minutes in showcasing how many large organisations are using data to their advantage by creating value through generating incremental revenue and optimising costs using analytics techniques.
Key Takeaways:
(i) Demystify the myths of analytics
(ii) Walkthrough a step-by-step approach to delivering successful projects that created an incremental value of hundreds and millions of dollars.
(iii) Three use cases where large organisations are using analytics to their advantage by creating value by generating incremental revenue and optimising costs.
Effective demand planning - our vision at SolventureSolventure
As Solventure we proud ourselves of being experts in designing and implementing Sales, Inventory and Operations Planning.
Companies that have a good SiOP process can’t imagine how to live without it. It is the key instrument for the CEO to navigate the business along the budget towards its strategic targets. Demand Planning plays an important role in every SiOP process and is key to to make it successful.
This white paper, Effective Demand Planning, summarizes the vision we have distilled from the many projects we have done over the last 10 years.
In this webinar, our in-house expert, Nancy Thakur, VWO’s Sr. Optimization Consultant, walks you through the key elements that can help you run your CRO program the right way.