This webinar was hosted by Gramener's CEO/Co-Founder, Anand S, and Ganes Kesari, Head of Analytics/Co-Founder on how data can help firms recover quickly throughout the recession and recovery period.
Who should watch this webinar :
Analytics Leaders, Business Leaders, CDOs, CTOs, etc.
Few takeaways :
-Which aspects of your company could benefit the most from a data-driven response?
-A strategy for identifying use cases that will provide the most value for the money.
How to use data in creative ways to uncover new market opportunities and customers.
Objectives :
-Data's utility in COVID situation
-How data science may assist you in navigating the recession
-Gramener's industry case studies to assist businesses in responding to COVID-19
Full Webinar: https://info.gramener.com/recession-proofing-your-business-with-data
To know more from industry leaders visit our official website: https://gramener.com/
The Art of Storytelling Using Data ScienceGramener
Gramener's VP - Sales, APAC Region, Vijayam Sirikonda interacted with the students of IIM Raipur and talked about the importance of data storytelling for business users.
Recession-proofing your business with dataGramener
COVID19 has enabled all the business across the world to think out of the box. Data and technology are our major allies. This presentation talks about how data and technology can be leveraged to fight the covid19 recession and help businesses to come out of the pandemic stronger.
Author 1: Ganes Kesari - Head of Analytics, Gramener
Author 2: Anand S. - CEO, Gramener
Watch the full webinar on the topic: https://info.gramener.com/recession-proofing-your-business-with-data
Data Analysis has been the buzz word this decade. Data Storytelling will be the next big influencer in Value creation.
Find out how Gramener is shaping the Data Storytelling landscape.
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.
5 Steps To Become A Data-Driven Organization : WebinarGramener
Gramener's Chief Data Scientist and Co-founder Ganes Kesari conducted an interesting webinar that will give you an idea of how to analyze your data maturity and plan the five steps to transforming your business using data.
Who should watch this webinar?
Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Directors, and Managers.
Important points discussed on the webinar:
-The majority of businesses reach a halt in the middle of their data journey.
-According to Gartner, approximately 87% of companies in the business have a poor degree of data maturity (levels 1 and 2 on a scale of 5).
-Adding more data science projects to your portfolio will not boost your talents or results. The truth is that CDOs' primary issues are divided into five categories.
Learnings from this webinar:
-Data Science Maturity. What is it and why is it important?
-How can you determine the maturity of data science and its limitations?
-How does data science maturity (described with an example) assist your business in progressing?
Watch the full webinar on:
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
To know more about Data Maturity visit:
https://gramener.com/data-maturity/#
Having data doesn't solve any business problem. Finding actionable insights and stories and implementing them to optimize business processes does.
This presentation was created by Sundeep Reddy Mallu for a virtual session with people at Indian School of Business (ISB) - Institute of Data Science.
The slides talk about how to create data stories and what parameters to keep in mind while creating one. With real-time case-studies and use cases of data storytelling, this presentation talks about how business leaders can identify Big, Useful, and surprising insights from big data sets.
The Art of Storytelling Using Data ScienceGramener
Gramener's VP - Sales, APAC Region, Vijayam Sirikonda interacted with the students of IIM Raipur and talked about the importance of data storytelling for business users.
Recession-proofing your business with dataGramener
COVID19 has enabled all the business across the world to think out of the box. Data and technology are our major allies. This presentation talks about how data and technology can be leveraged to fight the covid19 recession and help businesses to come out of the pandemic stronger.
Author 1: Ganes Kesari - Head of Analytics, Gramener
Author 2: Anand S. - CEO, Gramener
Watch the full webinar on the topic: https://info.gramener.com/recession-proofing-your-business-with-data
Data Analysis has been the buzz word this decade. Data Storytelling will be the next big influencer in Value creation.
Find out how Gramener is shaping the Data Storytelling landscape.
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.
5 Steps To Become A Data-Driven Organization : WebinarGramener
Gramener's Chief Data Scientist and Co-founder Ganes Kesari conducted an interesting webinar that will give you an idea of how to analyze your data maturity and plan the five steps to transforming your business using data.
Who should watch this webinar?
Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Directors, and Managers.
Important points discussed on the webinar:
-The majority of businesses reach a halt in the middle of their data journey.
-According to Gartner, approximately 87% of companies in the business have a poor degree of data maturity (levels 1 and 2 on a scale of 5).
-Adding more data science projects to your portfolio will not boost your talents or results. The truth is that CDOs' primary issues are divided into five categories.
Learnings from this webinar:
-Data Science Maturity. What is it and why is it important?
-How can you determine the maturity of data science and its limitations?
-How does data science maturity (described with an example) assist your business in progressing?
Watch the full webinar on:
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
To know more about Data Maturity visit:
https://gramener.com/data-maturity/#
Having data doesn't solve any business problem. Finding actionable insights and stories and implementing them to optimize business processes does.
This presentation was created by Sundeep Reddy Mallu for a virtual session with people at Indian School of Business (ISB) - Institute of Data Science.
The slides talk about how to create data stories and what parameters to keep in mind while creating one. With real-time case-studies and use cases of data storytelling, this presentation talks about how business leaders can identify Big, Useful, and surprising insights from big data sets.
Presentation deck from a webinar with Comcast Business and Entrepreneur about collecting and using customer and prospect data to provide the best experience for customers.
Recently, Oracle and Accenture polled some 200 CFOs and senior finance executives about
their strategies for improving the management reporting process. More than a third—41%— said selecting the right analytics tools and technologies was their top concern.
Analytics is all about course correcting the future. While this starts with accurate predictions of the future, without resultant actions steering the future toward company goals, knowing that future is academic. Successful companies must be grounded in successful data-based prescription. In this webinar, William will present a data maturity model with a focus on how analytic competitors outdo the competition by looking forward to a data-influenced future.
The D&B U.S. Economic Health Tracker showed dogged improvement in April 2014. Small business health stabilized after a number months of decline. Although wintry weather took its toll in the Northeast and Midwest earlier in the year, small businesses continue to demonstrate strong on-time bill and credit-card payments. Meanwhile, an estimated 208,000 new jobs were created, driven by strong gains in the retail and manufacturing segments. Finally, the U.S. Business Health Index strengthened yet again in April, registering a 53.7-percent index value, the highest recorded level since the index began in December 2010. U.S. businesses show sustained balance sheet and financial health, based on the weighted average of D&B’s Viability Rating, Delinquency Predictor, and Total Loss Predictor. Overall, the American economic recovery remains a choppy one, albeit with signs of hope in specific sectors.
Measuring and managing customer profitability in the big-data era. How to capitalize on the opportunity.
In today's era of Big Data and related technology, the benefits of "customer-centricity" are within our reach. Analysis of Big Data sources helps to better understand customer needs, preferences, attitudes, expectations, sentiments, and buying behavior. Yet to achieve this potential, organizations need to understand and apply the classic but essential concepts of customer profitability, customer lifetime value (CLV), and customer value management analytics. Join us for an event on how to approach this challenge.
When linked with customer profitability metrics, these insights enable more profitable decisions in product design, sales, marketing, customer care, loyalty management, and risk management. This session will help attendees capitalize on this opportunity. We will cover the classic high-impact basics of measuring and managing customer profitability, customer lifetime value (CLV), as well as how to use new Big Data insights to get more value from these efforts. This tutorial which cover the topic in 5 practical steps:
1. Introduction to Customer Profitability Analytics: What is customer profitability analysis, why is it so valuable, and what are the key concepts and methodologies used to measure customer profitability, customer lifetime value (CLV), and related metrics?
2. High-Impact Use-Cases of Customer Profitability Analytics: What are the key ways customer profitability analytics is used enhance results? We will describe the highest-value ways to use customer profitability metrics to improve business results, with concrete examples in each of the following categories:
o Customer Lifetime Value optimization ("CLV")
o Customer loyalty and retention
o Share of wallet maximization
o Marketing ROI
o Impact of Customer Service, Customer Experience, and Customer Satisfaction on Profit
o Product design, pricing, promotion, and positioning
o Allocation of resources (capital, budget, HR, etc)
o Risk management
3. How to Calculate Profitability at the Customer Level : We will walk through the algorithms you need to use to turn raw data into customer profitability metrics, and share tips on how to customize them depending on your business. Related applications will also be covered, such as how to use the same algorithms to measure profit per household, salesperson, distributor, or other entity relevant to how your business makes money.
4. Data & Tech Requirements
5. Using Big Data to Maximize ROI on Customer Analytics: What are the top 5 opportunities to use Big Data to increase the benefits achieved through customer profitability analytics and related initiatives?
Speakers: Jaime Fitzgerald, Founder and Managing Partner, Fitzgerald Analytics, and Konrad Kopczynscki, Director at Fitzgerald Analytics. Konrad and Jaime have applied customer profitability methodologies to dozens of clients.
Data Driven Transformation for Sales - SMART Territory ManagementBarry Magee
Design, lead and implement framework to harness enterprise, organisational and external data to create a data driven territory management programme for IBM Digital Sales Europe.
The aim is to embed an end-to-end data driven approach to cleint engagement across all sales lines based on a prototype methodology that has undergone 4 iterations with significant user-led enhancements over 2 years in a pilot business unit.
The framework aggregates and collates data across a wide range of sources, integrates and delivers sales focussed insight back to end users. It uses both standard analytics models as well as innovateive sales expertise codification to rank clients for 'next best customer' selection.
Results consistently show that the data-driven approach delivers 4x the average lead conversion rate for traditional approaches within a sales environment and that 80% of new business opportunities come from clients and offerinsg that lie outside traditional 'hunting' approaches.
In doing so, the sales team reduce the risk within business forecasting by identifying and winning leads outside the traditional 'top' customers where sales tend to continually farm for revenue.
7 Steps for Applying Big Data Patterns to Decision MakingWiley
Learn to apply big data patterns to decision-making in order to make better decisions, design a new business model, or redesign current business processes.
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
“You can download this product from SlideTeam.net”
Analyse the human behavior trend to increase the effectiveness of products and services for the consumers. Use professionally designed content-ready Customer Insight PowerPoint Presentation Slides for the better understanding of consumer buying behavior to increase sales. Collect the required information about the customers to acquire, develop and retain customers. Incorporate ready-made customer insight PPT presentation slideshow to comprehend the customer’s choice for their favourite brand, their mindsets, motivations, moods, desires, aspirations, etc. This deck comprises of templates such as research methodology, consumer insight assumptions, need for consumer insights, key statistics, data collection and processing, consumer insight capabilities, consumer insight components, consumer insight characteristics, consumer insight key elements, YouTube analytics, google audience retention tool, google trends, google analytics, consumer insight maturity matrix, consumer engagement principles, etc. These templates are editable. Change color, text, icon, and font size as per your need. Add or remove content, if needed. Get access to the ready-made customer insight PowerPoint templates to connect the interests of the consumer with features of the brand. Advise folks on how to decide correctly with our Customer Insight Powerpoint Presentation Slides. Be able to guide the injudicious. https://bit.ly/3Bo87wP
How to Measure What Matters:
What is a KPI and what makes a good one?
Who should be involved in data driven decision making in your business?
What tools do you need to start being data-driven?
What should you measure?
Next Steps & Best Practices
The rise of data - business value and the management imperativesSheriff Shitu
Directing the attention of business managers and strategy executives away from the flood of Big Data marketing unto internal organizational factors important for the success of Data-related initiatives. Such include developing a coherent understanding of the potential of data, assessing the preparedness of the business from a capability perspective, limiting waste by starting small, and understanding the requirements for sustaining these initiatives through strategy, culture, and governance.
The report narrows in on becoming a data-driven company from three dimensions:
• Datafication of internal operations from which useful data can be generated. Such data reveals insights that can be used to save costs or optimize business operations.
• Datafication of external customer engagement and service delivery channels to ensure that sufficient data is generated from which insights about customer behaviour and preferences can be generated.
• Making necessary management changes (data governance, organizational strategy and culture) to nurture and support the adoption of sustainable data-driven initiatives.
Creating a Data-Driven Organization, Crunchconf, October 2015Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
Humanizing Big Data: The Key to Actionable Customer Journey AnalyticsRocketSource
The ability to gather and act on Big Data has changed our world. For companies, this influx of information is an opportunity to understand consumers on an unprecedented level. But there's a big difference between collecting disparate data points and connecting with consumers through journey analytics.
Data as a Service (DaaS): The What, Why, How, Who, and WhenRocketSource
Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
From Big Data to Actionable Insight: What's Needed on the Back EndZach Gardner
Big data is a big undertaking. But you don’t have to go it alone. By allowing a data solutions provider to buffer the many complexities of big data, you’re free to focus on the end goal: actionable insight.
Here's what we'll go over:
• How to keep your data scientists from becoming data janitors
• The incredible amount of work that goes into readying Japanese drug prescriptions for aggregated analysis
• How data solution providers bring elasticity, scalability, reduced time to insight, and more ROI to your big data initiative
Real-world state of the BI market: Webinar presentation slidesYellowfin
Thinking about implementing a Business Intelligence (BI) solution, but aren’t sure how to navigate your way through an increasingly noisy business analytics software industry? Relax. We’ve got you covered.
Check out the recording of our recent Webinar series – The real-world state of the BI market. Discover the inside knowledge you need to ensure BI and analytics success.
And the best bit? It’ll only take 30 minutes of your time.
What will you learn?
Listen in as we dissect the results of 2013’s Wisdom of Crowds Business Intelligence Market Study – the BI industry’s most in-depth research report into major global implementation, usage and technology developments.
The real-world state of the BI market Webinar, and associated slides, outline:
•How to take advantage of the latest trends shaping the BI marketplace
•Why new generation consumer-oriented BI is set to dominate at the expensive of ‘traditional’ BI
•Why Yellowfin was rated No.1 in DAS’ competitive ranking of the world’s foremost BI vendors
If you’re thinking of deploying BI, you need to see beyond the hype. Take advantage of our expert analysis and explanation of the industry’s most prevalent, tangible and relevant trends.
Big Data: The Force That’s Good for Consumers and SocietyExperian_US
Craig Boundy, CEO of Experian North America, discusses how big data is being used as a force for good. Good for consumers, good for business, and good for society. He shares his perspective how Experian’s work in data and analytics has real-life applications.
'Recession-proofing' your Business with DataGanes Kesari
This session was presented on May 7th 2020, in a Webinar organized by Gramener.
https://info.gramener.com/recession-proofing-your-business-with-data
COVID-19 has disrupted every industry and precipitated a recession. With the virus still in the early stages of progression, the only certainty is that the pains to the global economy will be prolonged.
Is your business ready for the long haul? Data is your best ally to navigate the crisis and come out stronger. This webinar will show you how.
What will I learn?
Which areas of your business can benefit most with a data-driven response.
A framework to identify use cases that will deliver the biggest bang for the buck.
How to identify new market opportunities and customers through creative approaches with data.
AGENDA:
- Relevance of data in the current crisis
- How data science can help you stay prepared to navigate the recession
- Industry case studies from Gramener's work to help clients respond to COVID-19
Presentation deck from a webinar with Comcast Business and Entrepreneur about collecting and using customer and prospect data to provide the best experience for customers.
Recently, Oracle and Accenture polled some 200 CFOs and senior finance executives about
their strategies for improving the management reporting process. More than a third—41%— said selecting the right analytics tools and technologies was their top concern.
Analytics is all about course correcting the future. While this starts with accurate predictions of the future, without resultant actions steering the future toward company goals, knowing that future is academic. Successful companies must be grounded in successful data-based prescription. In this webinar, William will present a data maturity model with a focus on how analytic competitors outdo the competition by looking forward to a data-influenced future.
The D&B U.S. Economic Health Tracker showed dogged improvement in April 2014. Small business health stabilized after a number months of decline. Although wintry weather took its toll in the Northeast and Midwest earlier in the year, small businesses continue to demonstrate strong on-time bill and credit-card payments. Meanwhile, an estimated 208,000 new jobs were created, driven by strong gains in the retail and manufacturing segments. Finally, the U.S. Business Health Index strengthened yet again in April, registering a 53.7-percent index value, the highest recorded level since the index began in December 2010. U.S. businesses show sustained balance sheet and financial health, based on the weighted average of D&B’s Viability Rating, Delinquency Predictor, and Total Loss Predictor. Overall, the American economic recovery remains a choppy one, albeit with signs of hope in specific sectors.
Measuring and managing customer profitability in the big-data era. How to capitalize on the opportunity.
In today's era of Big Data and related technology, the benefits of "customer-centricity" are within our reach. Analysis of Big Data sources helps to better understand customer needs, preferences, attitudes, expectations, sentiments, and buying behavior. Yet to achieve this potential, organizations need to understand and apply the classic but essential concepts of customer profitability, customer lifetime value (CLV), and customer value management analytics. Join us for an event on how to approach this challenge.
When linked with customer profitability metrics, these insights enable more profitable decisions in product design, sales, marketing, customer care, loyalty management, and risk management. This session will help attendees capitalize on this opportunity. We will cover the classic high-impact basics of measuring and managing customer profitability, customer lifetime value (CLV), as well as how to use new Big Data insights to get more value from these efforts. This tutorial which cover the topic in 5 practical steps:
1. Introduction to Customer Profitability Analytics: What is customer profitability analysis, why is it so valuable, and what are the key concepts and methodologies used to measure customer profitability, customer lifetime value (CLV), and related metrics?
2. High-Impact Use-Cases of Customer Profitability Analytics: What are the key ways customer profitability analytics is used enhance results? We will describe the highest-value ways to use customer profitability metrics to improve business results, with concrete examples in each of the following categories:
o Customer Lifetime Value optimization ("CLV")
o Customer loyalty and retention
o Share of wallet maximization
o Marketing ROI
o Impact of Customer Service, Customer Experience, and Customer Satisfaction on Profit
o Product design, pricing, promotion, and positioning
o Allocation of resources (capital, budget, HR, etc)
o Risk management
3. How to Calculate Profitability at the Customer Level : We will walk through the algorithms you need to use to turn raw data into customer profitability metrics, and share tips on how to customize them depending on your business. Related applications will also be covered, such as how to use the same algorithms to measure profit per household, salesperson, distributor, or other entity relevant to how your business makes money.
4. Data & Tech Requirements
5. Using Big Data to Maximize ROI on Customer Analytics: What are the top 5 opportunities to use Big Data to increase the benefits achieved through customer profitability analytics and related initiatives?
Speakers: Jaime Fitzgerald, Founder and Managing Partner, Fitzgerald Analytics, and Konrad Kopczynscki, Director at Fitzgerald Analytics. Konrad and Jaime have applied customer profitability methodologies to dozens of clients.
Data Driven Transformation for Sales - SMART Territory ManagementBarry Magee
Design, lead and implement framework to harness enterprise, organisational and external data to create a data driven territory management programme for IBM Digital Sales Europe.
The aim is to embed an end-to-end data driven approach to cleint engagement across all sales lines based on a prototype methodology that has undergone 4 iterations with significant user-led enhancements over 2 years in a pilot business unit.
The framework aggregates and collates data across a wide range of sources, integrates and delivers sales focussed insight back to end users. It uses both standard analytics models as well as innovateive sales expertise codification to rank clients for 'next best customer' selection.
Results consistently show that the data-driven approach delivers 4x the average lead conversion rate for traditional approaches within a sales environment and that 80% of new business opportunities come from clients and offerinsg that lie outside traditional 'hunting' approaches.
In doing so, the sales team reduce the risk within business forecasting by identifying and winning leads outside the traditional 'top' customers where sales tend to continually farm for revenue.
7 Steps for Applying Big Data Patterns to Decision MakingWiley
Learn to apply big data patterns to decision-making in order to make better decisions, design a new business model, or redesign current business processes.
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
“You can download this product from SlideTeam.net”
Analyse the human behavior trend to increase the effectiveness of products and services for the consumers. Use professionally designed content-ready Customer Insight PowerPoint Presentation Slides for the better understanding of consumer buying behavior to increase sales. Collect the required information about the customers to acquire, develop and retain customers. Incorporate ready-made customer insight PPT presentation slideshow to comprehend the customer’s choice for their favourite brand, their mindsets, motivations, moods, desires, aspirations, etc. This deck comprises of templates such as research methodology, consumer insight assumptions, need for consumer insights, key statistics, data collection and processing, consumer insight capabilities, consumer insight components, consumer insight characteristics, consumer insight key elements, YouTube analytics, google audience retention tool, google trends, google analytics, consumer insight maturity matrix, consumer engagement principles, etc. These templates are editable. Change color, text, icon, and font size as per your need. Add or remove content, if needed. Get access to the ready-made customer insight PowerPoint templates to connect the interests of the consumer with features of the brand. Advise folks on how to decide correctly with our Customer Insight Powerpoint Presentation Slides. Be able to guide the injudicious. https://bit.ly/3Bo87wP
How to Measure What Matters:
What is a KPI and what makes a good one?
Who should be involved in data driven decision making in your business?
What tools do you need to start being data-driven?
What should you measure?
Next Steps & Best Practices
The rise of data - business value and the management imperativesSheriff Shitu
Directing the attention of business managers and strategy executives away from the flood of Big Data marketing unto internal organizational factors important for the success of Data-related initiatives. Such include developing a coherent understanding of the potential of data, assessing the preparedness of the business from a capability perspective, limiting waste by starting small, and understanding the requirements for sustaining these initiatives through strategy, culture, and governance.
The report narrows in on becoming a data-driven company from three dimensions:
• Datafication of internal operations from which useful data can be generated. Such data reveals insights that can be used to save costs or optimize business operations.
• Datafication of external customer engagement and service delivery channels to ensure that sufficient data is generated from which insights about customer behaviour and preferences can be generated.
• Making necessary management changes (data governance, organizational strategy and culture) to nurture and support the adoption of sustainable data-driven initiatives.
Creating a Data-Driven Organization, Crunchconf, October 2015Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
Humanizing Big Data: The Key to Actionable Customer Journey AnalyticsRocketSource
The ability to gather and act on Big Data has changed our world. For companies, this influx of information is an opportunity to understand consumers on an unprecedented level. But there's a big difference between collecting disparate data points and connecting with consumers through journey analytics.
Data as a Service (DaaS): The What, Why, How, Who, and WhenRocketSource
Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
From Big Data to Actionable Insight: What's Needed on the Back EndZach Gardner
Big data is a big undertaking. But you don’t have to go it alone. By allowing a data solutions provider to buffer the many complexities of big data, you’re free to focus on the end goal: actionable insight.
Here's what we'll go over:
• How to keep your data scientists from becoming data janitors
• The incredible amount of work that goes into readying Japanese drug prescriptions for aggregated analysis
• How data solution providers bring elasticity, scalability, reduced time to insight, and more ROI to your big data initiative
Real-world state of the BI market: Webinar presentation slidesYellowfin
Thinking about implementing a Business Intelligence (BI) solution, but aren’t sure how to navigate your way through an increasingly noisy business analytics software industry? Relax. We’ve got you covered.
Check out the recording of our recent Webinar series – The real-world state of the BI market. Discover the inside knowledge you need to ensure BI and analytics success.
And the best bit? It’ll only take 30 minutes of your time.
What will you learn?
Listen in as we dissect the results of 2013’s Wisdom of Crowds Business Intelligence Market Study – the BI industry’s most in-depth research report into major global implementation, usage and technology developments.
The real-world state of the BI market Webinar, and associated slides, outline:
•How to take advantage of the latest trends shaping the BI marketplace
•Why new generation consumer-oriented BI is set to dominate at the expensive of ‘traditional’ BI
•Why Yellowfin was rated No.1 in DAS’ competitive ranking of the world’s foremost BI vendors
If you’re thinking of deploying BI, you need to see beyond the hype. Take advantage of our expert analysis and explanation of the industry’s most prevalent, tangible and relevant trends.
Big Data: The Force That’s Good for Consumers and SocietyExperian_US
Craig Boundy, CEO of Experian North America, discusses how big data is being used as a force for good. Good for consumers, good for business, and good for society. He shares his perspective how Experian’s work in data and analytics has real-life applications.
'Recession-proofing' your Business with DataGanes Kesari
This session was presented on May 7th 2020, in a Webinar organized by Gramener.
https://info.gramener.com/recession-proofing-your-business-with-data
COVID-19 has disrupted every industry and precipitated a recession. With the virus still in the early stages of progression, the only certainty is that the pains to the global economy will be prolonged.
Is your business ready for the long haul? Data is your best ally to navigate the crisis and come out stronger. This webinar will show you how.
What will I learn?
Which areas of your business can benefit most with a data-driven response.
A framework to identify use cases that will deliver the biggest bang for the buck.
How to identify new market opportunities and customers through creative approaches with data.
AGENDA:
- Relevance of data in the current crisis
- How data science can help you stay prepared to navigate the recession
- Industry case studies from Gramener's work to help clients respond to COVID-19
Maximizing the Value of Your Internet PropertiesAffiliate Summit
This presentation is from Affiliate Summit East 2017 (July 30 - August 1, 2017 in New York).
Session description: This session will dissect what motivates buyers to acquire an online business. I’ll provide practical advice anyone can use to increase the value of their business.
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.
'Anatomy of Effectiveness’ is a white paper for brand marketers and advertising agencies alike, highlighting five key priorities for brands seeking greater impact. It will change the way brands and agencies market and will drive better consumer engagement.
Seminar why & how to use business intelligence slidesSmeebi
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#barcode #lowcode
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Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
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Descriptive Analysis
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Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
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Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
2. WHAT ARE THE KEY
CHALLENGES?
HOW YOU SHOULD
PRIORITIZE?
HOW DATA CAN
EMPOWER YOU?
3. Introduction
Ganes Kesari
Co-founder & Head of Analytics
100+ Clients
Insights as Stories
Help start, apply and adopt Data Analytics &
Visualization for Business impact
S Anand
Co-founder & CEO
@kesaritweets
/gkesari
@sanand0
/sanand0
4. COVID-19 has impacted every industry, leaving some in deep shock
4
1. Source: BCG Covid-19 report, Apr 2, 2020
5. We are heading towards a slow, long economic recovery
5
1. Source: McKinsey Article: Executive expectations about the shape of the coronavirus crisis, Apr 2020
Virus spread
and public
health response
Effective response,
but (regional) virus
resurgence
Broad failure of
public health
interventions
Rapid and effective
control of virus
spread
Executive expectations about the shape of coronavirus crisis in the World
Survey of 2,079 global executives; % of respondents
Knock-on effects and economic policy response
Ineffective
interventions
Partially effective
interventions
Highly effective
interventions
Most likely scenarios
6. But, the pace of recovery will vary by industry and organization
6
1. Source: Bain & Co - Ample Data, often free, can predict consumer behaviour through the Covid-19 crisis, Apr 9, 2020
7. Your response must be dictated by the stage of recovery you’re in
7
Stage 1: Survive
Disrupted business,
impacted operations in
an uncertain economy
Deepening impact,
unsettled operations in a
sluggish economy
Challenges scaling up,
lost opportunities in a
recovering economy
What are the top
challenges?
Stage 2: Stabilize Stage 3: Strategize
Survival. Address the
immediate challenges
and ensure business
continuity
Stabilization. Address
near-term operational
issues & lay groundwork
for recovery
Strategy. Prepare your
business to grow
stronger & compete in
the ‘new normal’
What should you
prioritize?
8. In your function, here’s what you should solve for
8
Stage 1: Survive
Increase collections
effectiveness
Increase control over
discretionary expenses
Leverage cash to acquire
market share/competition
Finance
Stage 2: Stabilize Stage 3: Strategize
“What threatens your
survival the most?”
“What can destabilize you
the most?”
“How can you eliminate
competitive threats?”
9. In your function, here’s what you should solve for
9
Stage 1: Survive
Increase collections
effectiveness
Increase control over
discretionary expenses
Leverage cash to acquire
market share/competition
Finance
Stage 2: Stabilize Stage 3: Strategize
Resolve employee
collaboration and
productivity issues
Reduce health risk for
employees at offices when
resuming work
Help employees adapt to
‘new normal’. Balance
flexibility with demands
People
“What threatens your
survival the most?”
“What can destabilize you
the most?”
“How can you eliminate
competitive threats?”
10. In your function, here’s what you should solve for
10
Data can be a powerful enabler to solve your use case
Stage 1: Survive
Increase collections
effectiveness
Increase control over
discretionary expenses
Leverage cash to acquire
market share/competition
Finance
Stage 2: Stabilize Stage 3: Strategize
Resolve employee
collaboration and
productivity issues
Reduce health risk for
employees at offices when
resuming work
Help employees adapt to
‘new normal’. Balance
flexibility with demands
People
Impact to production due to
shortage of raw materials
Remote delivery of services Ensure supply chain health;
support vendors
Supply
Assess customer impact,
assess change in behaviour
& monitor churn
Rationalize discounts to
minimize margin impact,
while building trust
Assess customer health,
expand offerings and
recapture share of wallet
Customer
“What threatens your
survival the most?”
“What can destabilize you
the most?”
“How can you eliminate
competitive threats?”
12. Focus and prioritization are your most
powerful responses when using data
Where to focus depends on your data maturity
13. We don't have the right data to
solve the problem well
We analyze the data. But the
analysis doesn't reveal much
Our analysis does not suggest
clear actions
Focus and prioritization are your most powerful responses when using data
On any use case, one of these will be your top problem. Focus & prioritize within that area.
13
Where to focus depends on your data maturity
DATA INSIGHT ACTION
For example, let’s take a finance use case.
Increase collections effectiveness
DATA
We don’t have sales transaction
data & collections merged or
readily accessible
INSIGHT
We know our sales outstanding
by client, and our top dues. But
that’s how it’s always been
ACTION
We know that significant changes
in orders delay collections. But
this hasn’t translated to action
You can easily determine this with one question: Which of these is your biggest problem?
14. Prioritize data collection for the best actionable initiatives
14
The biggest mistake teams
without data make is collecting all
data required to solve a problem.
Sales transactions
Collections transactions
Team timesheets
Client financials
Client analyst reports
Team incentive payout
DATA INSIGHT ACTION
Increase collection
effectiveness
There are many datasets that may help solve a
problem. You don’t need most of them.
15. Prioritize data collection for the best actionable initiatives
15
Increase collection
effectiveness
Increase collection team
variable incentive
Reduce days sales
outstanding
Focus on customers at
risk of default
The biggest mistake teams
without data make is collecting all
data required to solve a problem.
Instead, start by listing specific
actions that solve the problem.
DATA INSIGHT ACTION
Team timesheets
Team incentive payout
Client financials
Client analyst reports
Sales transactions
Collections transactions
16. Increase collection
effectiveness
Reduce days sales
outstanding
Focus on customers at
risk of default
Increase collection team
variable incentive
Prioritize data collection for the best actionable initiatives
Collect and explore data for a known purpose – which should be your best action
16
The biggest mistake teams
without data make is collecting all
data required to solve a problem.
1
2
3
Sales transactions
Collections transactions
Team timesheets
Team incentive payout
Client financials
Client analyst reports
Instead, start by listing specific
actions that solve the problem.
Collect data for those
actions first.
DATA INSIGHT ACTION
Data collection is effort
intensive. Prioritize effort.
Hypothesize which
actions solve the
problem best.
Top 10 clients by
days sales
outstanding
Even simple
exploration on
new data can lead
to useful results
17. Focus your analyses on insights. These are big, useful and surprising (BUS)
17
DATA INSIGHT ACTION
Teams that have data have often
already explored it and are
generating analyses.
Here are the results of analysis to
reduce days sales outstanding.
Analysis
Days sales outstanding is 62 days on average
18. Focus your analyses on insights. These are big, useful and surprising (BUS)
18
DATA INSIGHT ACTION
Teams that have data have often
already explored it and are
generating analyses.
Here are the results of analysis to
reduce days sales outstanding.
Analysis
Days sales outstanding is 62 days on average
Days sales outstanding has been steady over the
last 6 months, with a small 2% increase
19. Focus your analyses on insights. These are big, useful and surprising (BUS)
19
DATA INSIGHT ACTION
Teams that have data have often
already explored it and are
generating analyses.
Here are the results of analysis to
reduce days sales outstanding.
Analysis
Days sales outstanding is 62 days on average
Days sales outstanding has been steady over the
last 6 months, with a small 2% increase
50% of our collection outstanding is with our top
20 clients by revenue
20. Focus your analyses on insights. These are big, useful and surprising (BUS)
20
DATA INSIGHT ACTION
Teams that have data have often
already explored it and are
generating analyses.
Here are the results of analysis to
reduce days sales outstanding.
Analysis
Days sales outstanding is 62 days on average
Days sales outstanding has been steady over the
last 6 months, with a small 2% increase
50% of our collection outstanding is with our top
20 clients by revenue
The South region has the highest days sales
outstanding – roughly 20% higher than average
Days sales outstanding consistently increases by
10-18 days on weekends and holidays
Significant increase or decrease (±50%) in
orders leads to doubling DSO within 3 months
Days sales outstanding is 30% less for clients
who received a call in the last 30 days
Such analysis typically
have more noise and
less signal. It’s a dump
of everything we can
do with the data.
It’s not insight.
Not all analyses are born equal.
Some of them are not useful.
Some of them are already known.
Some of them are insignificant.
Insights are analysis that are big, useful and surprising
21. Focus your analyses on insights. These are big, useful and surprising (BUS)
21
Analysis Big Useful Surprising
Days sales outstanding is 62 days on average Low Med Low
Days sales outstanding has been steady over the
last 6 months, with a small 2% increase
50% of our collection outstanding is with our top
20 clients by revenue
The South region has the highest days sales
outstanding – roughly 20% higher than average
Days sales outstanding consistently increases by
10-18 days on weekends and holidays
Significant increase or decrease (±50%) in
orders leads to doubling DSO within 3 months
Days sales outstanding is 30% less for clients
who received a call in the last 30 days
DATA INSIGHT ACTION
Teams that have data have often
already explored it and are
generating analyses.
Here are the results of analysis to
reduce days sales outstanding.
Rate each analysis on 3 criteria:
• How big / impactful is it
• How useful / actionable is it
• How surprising is it
Not all analyses are born equal.
Some of them are not useful.
Some of them are already known.
Some of them are insignificant.
22. Focus your analyses on insights. These are big, useful and surprising (BUS)
22
Analysis Big Useful Surprising
Days sales outstanding is 62 days on average Low Med Low
Days sales outstanding has been steady over the
last 6 months, with a small 2% increase
Low Low Low
50% of our collection outstanding is with our top
20 clients by revenue
The South region has the highest days sales
outstanding – roughly 20% higher than average
Days sales outstanding consistently increases by
10-18 days on weekends and holidays
Significant increase or decrease (±50%) in
orders leads to doubling DSO within 3 months
Days sales outstanding is 30% less for clients
who received a call in the last 30 days
DATA INSIGHT ACTION
Teams that have data have often
already explored it and are
generating analyses.
Here are the results of analysis to
reduce days sales outstanding.
Rate each analysis on 3 criteria:
• How big / impactful is it
• How useful / actionable is it
• How surprising is it
Not all analyses are born equal.
Some of them are not useful.
Some of them are already known.
Some of them are insignificant.
23. Focus your analyses on insights. These are big, useful and surprising (BUS)
Focus and prioritization are your most powerful responses. Focus on insights
23
Analysis Big Useful Surprising
Days sales outstanding is 62 days on average Low Med Low
Days sales outstanding has been steady over the
last 6 months, with a small 2% increase
Low Low Low
50% of our collection outstanding is with our top
20 clients by revenue
Med Med Low
The South region has the highest days sales
outstanding – roughly 20% higher than average
Med Med Med
Days sales outstanding consistently increases by
10-18 days on weekends and holidays
Med Med Low
Significant increase or decrease (±50%) in
orders leads to doubling DSO within 3 months
Med High High
Days sales outstanding is 30% less for clients
who received a call in the last 30 days
High High Med
DATA INSIGHT ACTION
Teams that have data have often
already explored it and are
generating analyses.
Here are the results of analysis to
reduce days sales outstanding.
Rate each analysis on 3 criteria:
• How big / impactful is it
• How useful / actionable is it
• How surprising is it
Not all analyses are born equal.
Some of them are not useful.
Some of them are already known.
Some of them are insignificant.
24. Communicate insights as personal, actionable messages
24
DATA INSIGHT ACTION
Teams with insights typically share
them as they discovered them.
Here are the results of an insight – that
calling clients after 30 days of invoice
(instead of 90 – the current practice)
reduces average days sales
outstanding to 55 – a 30% reduction in
days sales outstanding.
This proves the insight well. But it
doesn’t help users act on the insight.
40
50
60
70
80
90
100
0 20 40 60 80 100 120 140 160 180 200
Days sales outstanding is 30% less for clients who
received a call in the last 30 days
Average DSO
# days since last call
DSO
19 d
First call is on
90th day
30th day call
reduces CSO 30%
Prioritize actions over proof when sharing insights
25. Communicate insights as personal, actionable messages
Communicate to allow your entire team focus on prioritized actions
25
DATA INSIGHT ACTION
Teams with insights typically share
them as they discovered them.
Here are the results of an insight – that
calling clients after 30 days of invoice
(instead of 90 – the current practice)
reduces average days sales
outstanding to 55 – a 30% reduction in
days sales outstanding.
This proves the insight well. But it
doesn’t help users act on the insight.
Teams need inputs on what they should
do. Design your dashboards to
communicate specific actions.
Days Sales Outstanding Dashboard for Eliyahu Montgomery
Client Dues DSO Action
Alpha Corp $120 K 172 Email 3rd & final reminder. Contact legal team
Beta Inc $480 K 32 Call them. High volume, not called in 30 days
Gamma Ltd $80 K 20 Sudden drop in orders. Check for risk of
increase in DSO
Delta LLC $160 K 134 Email 2nd reminder
Epsilon Inc $200 K 38 Call them. High volume, not called in 30 days
Zeta Corp $20 K 60 Sudden drop in orders. Check for risk of
increase in DSO
Iota Foundation $100 K 95 Send invoice reminder
Focus on these accounts to improve collections. These are ordered by importance
An actionable dashboard tells each person exactly what they
need to act on. No more, no less.
26. Solve the right problem by focusing on your stage of recovery & data maturity
26
Stage 1: Survive Stage 2: Stabilize Stage 3: Strategize
Know your stage of
recovery
Focus on the most
critical aspect there
Pick the use case most
critical for your function
“What threatens your
survival the most?”
“What can destabilize you
the most?”
“How can you eliminate
competitive threats?”
Know your stage of data
maturity
DATA INSIGHT ACTION
Collect and explore data for
a known purpose – which
should be your best action
Filter your analyses into
insights by checking if they
are big, useful & surprising
Communicate insights as
personalized actions for
each team member
1
2
3
4
27. Poll
27
Your data maturity stage?
Here’s a short & simple poll to help you focus.
This will identify the data maturity stage for
your chosen use case.
We conduct workshops to help clients solve
problems on data, insights & action.
Tell us if you want us to contact you.