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.
The Incidental Science of Organizational Growth via Digital Transformation RocketSource
Simply boosting top-line metrics, such as profitability, aren't enough to position digital transformation as a success. Pervasive access to data and insights are critical as consumer demands shift alongside technological advancements. We explore the mechanisms for knowledge dissemination that answer the rapid evolution of today's world and how to push organizations up the S Curve of Growth through digital transformation.
https://www.rocketsource.co/blog/organizational-growth-via-digital-transformation/?utm_source=slideshare&utm_medium=social&utm_campaign=profile-page&utm_term=digital-transformation
Leveraging the StoryVesting Framework to Achieve Breakthrough Business Transf...RocketSource
Business transformation happens when you're able to provide impactful experiences both to your customers and to your employees. StoryVesting is the framework that guides you to that goal, but if you're looking for a basic roadmap, this isn't for you. This framework is steeped in intelligence, behavioral economics, and journey analytics.
The 4 Machine Learning Models Imperative for Business TransformationRocketSource
Machine learning is hot right now and for good reason. We're going to break down what you need to know about what goes into a model and give you four machine learning models your business should have in production right now.
Transforming the Digital Experience Via Customer Journey MappingRocketSource
As the modern consumer's expectations of a sublime digital experience increase, so does the need for a new customer journey map. In this post, I unveil the Customer Insights Map, which makes the traditional exercise of customer journey mapping more intelligent by answering the nuances of today's buyers, leveraging machine learning, artificial intelligence, and path-to-purchase analytics to boost the lifetime value of customers.
Leveraging StoryVesting to Find Product-Market FitRocketSource
Product-Market Fit — it’s the yearning of every founder and the mission of every product team. Why? Well, first in terms of securing funding, most investors and enterprise leaders demand that a team knows how to achieve it before they ever invest a dime into a new company or product idea.
https://www.rocketsource.co/blog/product-market-fit/
The Power of a Proper North Star MetricRocketSource
Nailing your North Star Metrics is critical to your growth and revenue acceleration. This single metric can either shine a light on how well your organization is leading the charge towards sustainable growth or sound alarm bells on a strategy that’s out of alignment.
Finding the right North Star Metric is no small feat. It takes extensive analysis, research and digging. Having the right framework in place to understand what your North Star Metric is and how to leverage it across your team and in the market is crucial.
In this post, you’ll learn what makes a good North Star Metric, how to adopt a solid framework to find that metric, and important means for bringing your business further in alignment with customer expectations
Mapping the value of your customers journeyEthology
The game has changed with customer engagement! Go beyond just "journey-mapping" and understand the micro-moments of your customer's entire process of interaction with your brand. There are right and wrong moments of content implementation that could be costing you profit!
Get more insights on the following:
- Customers are in the driver seat with engagement points more often than the brand
- User Experience (UX) can illuminate the customer journey and find more meaningful ways to connect with them
- True strategy and planning are a process that must be ongoing versus just a "start-point"
SPEAKER:
Anthony Quiroz, UX Design Strategist at Ethology
The five essential steps to building a data productBirst
Building a data-driven product is scary business. You need to get the right platform both for today’s needs and for tomorrow’s possibilities – and then, you need to go beyond the technical to build a go-to-market plan that will set you up for success. Learn the five keys to building a great analytical product from someone who has done it before — and failed! Hear Kevin Smith speak about the mistakes he’s made building data products and how you can benefit from his lessons learned.
The Incidental Science of Organizational Growth via Digital Transformation RocketSource
Simply boosting top-line metrics, such as profitability, aren't enough to position digital transformation as a success. Pervasive access to data and insights are critical as consumer demands shift alongside technological advancements. We explore the mechanisms for knowledge dissemination that answer the rapid evolution of today's world and how to push organizations up the S Curve of Growth through digital transformation.
https://www.rocketsource.co/blog/organizational-growth-via-digital-transformation/?utm_source=slideshare&utm_medium=social&utm_campaign=profile-page&utm_term=digital-transformation
Leveraging the StoryVesting Framework to Achieve Breakthrough Business Transf...RocketSource
Business transformation happens when you're able to provide impactful experiences both to your customers and to your employees. StoryVesting is the framework that guides you to that goal, but if you're looking for a basic roadmap, this isn't for you. This framework is steeped in intelligence, behavioral economics, and journey analytics.
The 4 Machine Learning Models Imperative for Business TransformationRocketSource
Machine learning is hot right now and for good reason. We're going to break down what you need to know about what goes into a model and give you four machine learning models your business should have in production right now.
Transforming the Digital Experience Via Customer Journey MappingRocketSource
As the modern consumer's expectations of a sublime digital experience increase, so does the need for a new customer journey map. In this post, I unveil the Customer Insights Map, which makes the traditional exercise of customer journey mapping more intelligent by answering the nuances of today's buyers, leveraging machine learning, artificial intelligence, and path-to-purchase analytics to boost the lifetime value of customers.
Leveraging StoryVesting to Find Product-Market FitRocketSource
Product-Market Fit — it’s the yearning of every founder and the mission of every product team. Why? Well, first in terms of securing funding, most investors and enterprise leaders demand that a team knows how to achieve it before they ever invest a dime into a new company or product idea.
https://www.rocketsource.co/blog/product-market-fit/
The Power of a Proper North Star MetricRocketSource
Nailing your North Star Metrics is critical to your growth and revenue acceleration. This single metric can either shine a light on how well your organization is leading the charge towards sustainable growth or sound alarm bells on a strategy that’s out of alignment.
Finding the right North Star Metric is no small feat. It takes extensive analysis, research and digging. Having the right framework in place to understand what your North Star Metric is and how to leverage it across your team and in the market is crucial.
In this post, you’ll learn what makes a good North Star Metric, how to adopt a solid framework to find that metric, and important means for bringing your business further in alignment with customer expectations
Mapping the value of your customers journeyEthology
The game has changed with customer engagement! Go beyond just "journey-mapping" and understand the micro-moments of your customer's entire process of interaction with your brand. There are right and wrong moments of content implementation that could be costing you profit!
Get more insights on the following:
- Customers are in the driver seat with engagement points more often than the brand
- User Experience (UX) can illuminate the customer journey and find more meaningful ways to connect with them
- True strategy and planning are a process that must be ongoing versus just a "start-point"
SPEAKER:
Anthony Quiroz, UX Design Strategist at Ethology
The five essential steps to building a data productBirst
Building a data-driven product is scary business. You need to get the right platform both for today’s needs and for tomorrow’s possibilities – and then, you need to go beyond the technical to build a go-to-market plan that will set you up for success. Learn the five keys to building a great analytical product from someone who has done it before — and failed! Hear Kevin Smith speak about the mistakes he’s made building data products and how you can benefit from his lessons learned.
Data Strategy for Digital Sales : Case Study & Best PracticeBarry Magee
Citrix Peer Exchange : Indeed.com - Oct 2020 - Barry Magee
I'm an experienced senior business leader focused on how data-driven transformation creates organisational value with deep experience in sales, marketing, strategy, operations, and change management. I’m a recognized industry-leading specialist and academic on effective and systemic innovation using data and analytics to build competitive advantage and tangible results.
https://www.linkedin.com/in/barrymagee/
Culture Hacking with Data - front line experiences in Data Driven TransformationBarry Magee
UCC PGDip in Innovation Studies - Feb 2021 - Barry Magee
I'm an experienced senior business leader focused on how data-driven transformation creates organisational value with deep experience in sales, marketing, strategy, operations, and change management. I’m a recognized industry-leading specialist and academic on effective and systemic innovation using data and analytics to build competitive advantage and tangible results.
https://www.linkedin.com/in/barrymagee/
Intelligent Tooling for (Digital) SalesBarry Magee
Sales Institute - Nov 2017
I'm an experienced senior business leader focused on how data-driven transformation creates organisational value with deep experience in sales, marketing, strategy, operations, and change management. I’m a recognized industry-leading specialist and academic on effective and systemic innovation using data and analytics to build competitive advantage and tangible results.
https://www.linkedin.com/in/barrymagee/
Marketing analytics
PREDICTIVE ANALYTICS AND DATA SCIENCECONFERENCE (MAY 27-28)
Surat Teerakapibal, Ph.D.
Lecturer, Department of Marketing
Program Director, Doctor of Philosophy Program in Business Administration
Workshop ISPIM 2020 - Massive Collective Intelligence: how will the Covid19 c...bluenove
The presentation by Martin DUVAL (Co-Founder at Bluenove) about HOW MASSIVE COLLECTIVE INTELLIGENCE IS TRANSFORMING INNOVATION MANAGEMENT during a workshop at the ISPIM online conference on June 9th, 2020.
The agenda was:
1) Why massive collective intelligence mobilization is a key lever that innovation managers should activate and lead
2) What different timings and types of operational and strategic plans could be addressed
3) What methodologies and digital technologies should be used
4) What key success factors to consider
5) How this may change the new role of innovation management in the long term
The best companies boost revenues by not just building advanced pricing analytics programs but also developing relevant capabilities - people, processes, tools. A successful revenue growth program is a journey, and this presentation highlights the four areas where companies need to focus to become leaders. Brian Elliott (CEO of McKinsey Periscope) gave a version of this presentation at the Professional Pricing Society event in Oct., 2014.
In this presentation, learn how DNBi can help your business to prescreen and enable instant decisions to shorten the sales cycle, reduce credit holds and find upsell opportunities, and optimize and segment your portfolio to find the profile of your best customers.
Simple Principles for Complex Data-Led Organisational TransformationBarry Magee
Digital Transformation Lab - Best of Practitioner Research - Jun 2021 - Barry Magee
I'm an experienced senior business leader focused on how data-driven transformation creates organisational value with deep experience in sales, marketing, strategy, operations, and change management. I’m a recognized industry-leading specialist and academic on effective and systemic innovation using data and analytics to build competitive advantage and tangible results.
https://www.linkedin.com/in/barrymagee/
The Journey to Exceptional Customer ExperienceCartegraph
This Loras College Business Analytics Symposium breakout session presented by Cathy Carlson and Bruce Barchus of Vizability LLC described the journey on the way to exceptional customer experience. What does that have to do with analytics? Everything. Data-driven decisions are critical to optimizing the way your organization delights (or not) your customers. Challenging your organization to be great on an end-to-end basis is never ending. Welcome to the journey.
Participants received a guide for getting real world results, including a list of tools to help along the way.
Harvesting the value from Advanced AnalyticsJaap Vink
In general, Analytics help you leverage investments that you have done already in your IT investments, on ERP, on CRM systems, on sales
force automation systems, and on all
the data collection that you put in
place.
Unfortunately, reality isn’t that
straightforward. It’s still a struggle
for most companies to drive valuable
insight into the data they have.
Today there is a lot of buzz around customer experience. Many companies have realized that investments in customer experience improvement is important not just because it helps to boost the bottom lines of their businesses but because it takes at least 4 to 6 times more cost to acquire a new customer than to retain an existing customer.
Learn how data can help you better target and engage buyers
Justin Gray, Founder and CEO of LeadMD, gives you a set of tools that will help you design, implement and succeed with applying buyer intelligence and predictive data modeling to build intelligent buyer personas
Data Strategy for Digital Sales : Case Study & Best PracticeBarry Magee
Citrix Peer Exchange : Indeed.com - Oct 2020 - Barry Magee
I'm an experienced senior business leader focused on how data-driven transformation creates organisational value with deep experience in sales, marketing, strategy, operations, and change management. I’m a recognized industry-leading specialist and academic on effective and systemic innovation using data and analytics to build competitive advantage and tangible results.
https://www.linkedin.com/in/barrymagee/
Culture Hacking with Data - front line experiences in Data Driven TransformationBarry Magee
UCC PGDip in Innovation Studies - Feb 2021 - Barry Magee
I'm an experienced senior business leader focused on how data-driven transformation creates organisational value with deep experience in sales, marketing, strategy, operations, and change management. I’m a recognized industry-leading specialist and academic on effective and systemic innovation using data and analytics to build competitive advantage and tangible results.
https://www.linkedin.com/in/barrymagee/
Intelligent Tooling for (Digital) SalesBarry Magee
Sales Institute - Nov 2017
I'm an experienced senior business leader focused on how data-driven transformation creates organisational value with deep experience in sales, marketing, strategy, operations, and change management. I’m a recognized industry-leading specialist and academic on effective and systemic innovation using data and analytics to build competitive advantage and tangible results.
https://www.linkedin.com/in/barrymagee/
Marketing analytics
PREDICTIVE ANALYTICS AND DATA SCIENCECONFERENCE (MAY 27-28)
Surat Teerakapibal, Ph.D.
Lecturer, Department of Marketing
Program Director, Doctor of Philosophy Program in Business Administration
Workshop ISPIM 2020 - Massive Collective Intelligence: how will the Covid19 c...bluenove
The presentation by Martin DUVAL (Co-Founder at Bluenove) about HOW MASSIVE COLLECTIVE INTELLIGENCE IS TRANSFORMING INNOVATION MANAGEMENT during a workshop at the ISPIM online conference on June 9th, 2020.
The agenda was:
1) Why massive collective intelligence mobilization is a key lever that innovation managers should activate and lead
2) What different timings and types of operational and strategic plans could be addressed
3) What methodologies and digital technologies should be used
4) What key success factors to consider
5) How this may change the new role of innovation management in the long term
The best companies boost revenues by not just building advanced pricing analytics programs but also developing relevant capabilities - people, processes, tools. A successful revenue growth program is a journey, and this presentation highlights the four areas where companies need to focus to become leaders. Brian Elliott (CEO of McKinsey Periscope) gave a version of this presentation at the Professional Pricing Society event in Oct., 2014.
In this presentation, learn how DNBi can help your business to prescreen and enable instant decisions to shorten the sales cycle, reduce credit holds and find upsell opportunities, and optimize and segment your portfolio to find the profile of your best customers.
Simple Principles for Complex Data-Led Organisational TransformationBarry Magee
Digital Transformation Lab - Best of Practitioner Research - Jun 2021 - Barry Magee
I'm an experienced senior business leader focused on how data-driven transformation creates organisational value with deep experience in sales, marketing, strategy, operations, and change management. I’m a recognized industry-leading specialist and academic on effective and systemic innovation using data and analytics to build competitive advantage and tangible results.
https://www.linkedin.com/in/barrymagee/
The Journey to Exceptional Customer ExperienceCartegraph
This Loras College Business Analytics Symposium breakout session presented by Cathy Carlson and Bruce Barchus of Vizability LLC described the journey on the way to exceptional customer experience. What does that have to do with analytics? Everything. Data-driven decisions are critical to optimizing the way your organization delights (or not) your customers. Challenging your organization to be great on an end-to-end basis is never ending. Welcome to the journey.
Participants received a guide for getting real world results, including a list of tools to help along the way.
Harvesting the value from Advanced AnalyticsJaap Vink
In general, Analytics help you leverage investments that you have done already in your IT investments, on ERP, on CRM systems, on sales
force automation systems, and on all
the data collection that you put in
place.
Unfortunately, reality isn’t that
straightforward. It’s still a struggle
for most companies to drive valuable
insight into the data they have.
Today there is a lot of buzz around customer experience. Many companies have realized that investments in customer experience improvement is important not just because it helps to boost the bottom lines of their businesses but because it takes at least 4 to 6 times more cost to acquire a new customer than to retain an existing customer.
Learn how data can help you better target and engage buyers
Justin Gray, Founder and CEO of LeadMD, gives you a set of tools that will help you design, implement and succeed with applying buyer intelligence and predictive data modeling to build intelligent buyer personas
People Analytics: Creating The Ultimate WorkforceCenterfor HCI
If you are a leader or manager in a large organization, you are probably familiar with these terms. But you may be unaware how your organization can benefit from people analytics and what it will take.
Does market information, marketing and consumer research have a role in busin...Drthomasbrand Limited
In this presentation, I review the status of information and research within companies, and discuss issues and constraints pertaining to the more effective use of information in business and marketing decision making. These touch upon the way in which research is managed in companies, as well as how it is viewed by the executive. To do it well, requires a mind-set change, even a cultural change in many executive teams and companies. Even the talk of "big data", is meaningless unless the company is receptive to the information and its eco-system is prepared for it.
7 ways small businesses can use data to boost their business growthAtheethBelagode
Data For Business Growth
Hello all. In this article, I will be explaining to you all about how small businesses can use data to boost their business growth. I hope to give you a lot of insights and get all your queries solved.
Analytics and data play an important role in all businesses. I have never been a fan of metrics since childhood and always loved reading subjects that did not involve numbers. However, with time as I got into marketing and advertising, I realized the importance that data and analysis hold in every aspect of our lives.
Mid sized companies dont have sensors and machines spitting out big data, but they have lots of data from traditional sources like CRM, ERP and Billing software. How do you use this. Some techniques, examples and case studies from other industries to get your creatives flowing
At #SMDayADL I presented on the topic of social media reporting, sharing tips on establishing suitable goals, aligning them to relevant metrics, and employing reporting best practices.
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
This project is about "Big Data Analytics," and it provides a comprehensive overview of topics related to Data and Analytics and a short note on Cognitive Analytics, Sentiment Analytics, Data Visualization, Artificial intelligence & Data-Driven Decision Making along with examples and diagrams.
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
Big Data = Big Headache? Using People Analytics to Fuel ROItalent.imperative
• Interpret trend information to understand the business case for Big Data in HR.
• Examine your fears and assumptions about Big Data.
• Learn from best practice case studies how to demonstrate HR’s contributions to ROI.
• Understand how to engage key stakeholders as part of your organization’s people analytics journey.
Every day, enterprises across the globe are engaged in two key activities: delivering effectual effects and building decisions that create impact. If you are in the big business of building enterprises that will be more valuable in future than present your decisions need to be driven by smarter data.
Companies today are witnessing a huge explosion in data availability - 90% of the world’s data was formed in the most recent years. Structured, semi- structured and unstructured data across internal business systems and external sources like social
media, market data and syndicated study are now creating an incredible opportunity to construct insights, therefore leading to intelligent decisions. However, as this data is generally available to an enterprise’s competitive set, only those who have a vision for
leveraging this intellect and are adept will eventually out-compete others.
Similar to Humanizing Big Data: The Key to Actionable Customer Journey Analytics (20)
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
Unlocking Growth and Retention Opportunities through Data Democratization.pdfRocketSource
Data democratization is the clarifying tool that’s critically required to truly tap into the power of an organization’s suite of North Star Metrics. Plenty of technology is available at an organization’s disposal to sharpen and bring into focus what’s happening beyond the corporate walls. However, with big data comes big problems, especially when teams fail to leverage and act on the high-level insights to unlock viable growth and retention opportunities far beyond the next quarter.
Are you ready to brush up on your modern glossary of CX terms? Click through to get a better understanding of the common terms being bandied about in the conference room, and how you can leverage these terms to make sound business decisions that amplify the brand and customer experience.
A Product-Led Growth Strategy for EnterpriseRocketSource
Product-led growth strategy might not be commonly thought of for enterprise, but it's time to innovate. Discover how to leverage a strategy traditionally used by Software as a Service (SaaS) for enterprises across all industries. In this presentation, you'll learn the importance of building employee experience feedback loops so that you craft more sublime experiences for your customers and your teams.
The Revenue Operations to Revenue Acceleration Framework Every Modern Busines...RocketSource
There is no silver bullet that can get brands to revenue acceleration. Instead, companies have to build a strong revenue operations infrastructure based on empathetic customer experience initiatives, intelligent data ops, and innovative content generation. Once you start with the end in mind, your organization can get to a sustainable — and much more feasible — revenue acceleration solution.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
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.
Recession Business Strategy: What to Do Before, During, and After a RecessionRocketSource
Most people cringe at the idea of talking about economic catastrophe. But, having a recession business strategy in place – regardless of how uncomfortable the conversation might be – is one of the best ways to insulate your business regardless of the economic backdrop. We'll break down how to take a proactive stance, what to do when consumers stop spending, and how to emerge with powerful assets under your belt by adopting CX initiatives to power you through the downtimes. Get the details at Rocketsource.co/blog/recession-business-strategy
The S Curve of Business: The Key Levers to Sustaining Momentum for Your BrandRocketSource
In the world of business, growth doesn't follow a constant upward trend. Instead, it takes the form of an S-shaped curve that naturally dips during the lifecycle of the company.
During these moments, successful organizations don't double down on failed tactics or simply copy the competition. They recognize the situation, rely on lessons learned, and focus on customer-centric innovation.
Companies that hope to lead the pack must learn to take in the big picture, avoid chasing tactics, and drive growth by providing frictionless experiences to their customers.
The Gift of Roger Federer to Corporate AmericaRocketSource
Businesses have a lot to learn from the trajectory of Roger Federer's career and his continued success on the tennis court.
Learn more at http://bit.ly/2msdg1R
The Customer Journey Funnel: The Key to Sustainable GrowthRocketSource
Creating a modern funnel to accommodate marketing and sales in today's market requires a strong understanding of the dynamics of customer behavior and the way processes should be structured to guide users down the path to purchase.
The terms "sales funnel" and "marketing funnel" don't quite fit the bill like they used to. Let's explore what a customer journey funnel is, and why it's so vital to organizations.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
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:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
2. Technology enables us to
digest and create data every
single day.
But this data doesn’t exist as
a static record of events—it’s
being actively used to reflect
and shape human behavior.
The Tech Effect:
Big Data, Big Changes.
3. Today, companies have more data than ever to analyze and understand
their customers. But there’s still a surprising disconnect between what
brands think they know and what the customer actually feels or does.
The Experience Perception Gap.
6% 12% 44% 38%
20%34%23%23%
Brand Professionals
Consumers
No Longer Using Anger Frustration Disappointment
Source: InMoment
Consumer feelings or actions after a negative brand experience according to:
4. Every company uses data. But keeping
everything in a database or dumping
it into a complex spreadsheet is not an
effective strategy.
Estimates suggest that 60-73% of all
enterprise data goes unused for
analytics. The companies that use
data effectively are better positioned
to deliver a superior product and
experience.
Disruption Starts With Data.
Source: Forrester
5. Thanks to data, small companies can act quickly on trends.
Larger organizations usually have more data at their disposal, but are
often bogged down by several mitigating factors:
1. Frontline managers lack understanding and confidence in the
analytics and hesitate to employ it
2. Existing organizational processes are unable to accommodate
advancements in analytics and automation
3. Decision-making protocols require multiple levels of approval
Startups Have a Distinct Edge.
Source: McKinsey
6. Gathering more data is not the end goal. Instead, use those insights to
discover initiatives that lead to a better customer experience.
Data should be used to analyze and complement the human experience,
not replace the creative process or silence the voice of the customer.
The Supporting Role of Data.
7. Raw data can give you an idea of what is happening, but not why.
If you just look at the numbers as data points, you won’t be able to turn
those observations into actionable insights.
Putting the Science Back into Data.
The power of building your brand’s unique customer
journey analytics is found in following the scientific
process, where data can be used to challenge
assumptions and biases—not the other way around.”
“
- Buckley Barlow, Founding Partner, RocketSource
8. Putting yourself in the customer’s shoes isn’t easy. Every team needs
to be structured to think about and treat data the right way:
1. Think like a scientist. Go fact-finding. Hypothesize, conduct
experiments, analyze the data, and report results.
2. Think like a psychologist. Get into the head of the buyer by
researching, analyzing, and understanding the factors that
contribute to human behavior.
3. Think like an anthropologist. Find out how and why your
customers use the product/service you offer. Look for concrete
evidence from users, such as audio from support calls.
How Teams Need to Think About Data.
9. Viewed in a vacuum, data are just numbers.
But people aren’t numbers—they’re people.
Data is humanized when a company uses
metrics to understand human behavior and
improve the brand experience through
people-centered initiatives.
Humanizing Data.
10. Empathy means understanding what your
customers and employees alike experience,
and seeking honest feedback.
Humility is being open to persuasion by
listening to and acting on input.
Leaders and organizations that are
empathetic and humble elicit loyalty from
employees and customers, and contribute
to a richer brand experience.
Core CX Traits: Empathy and Humility.
12. Quantitative data describe broad trends
and are useful for statistical analysis.
Qualitative data are rich, personal, and
give insight into motivational behavior.
Both are necessary for understanding
and improving the customer journey.
Qualitative and Quantitative Data.
14. Apple doesn’t just sell products.
They sell experiences.
The company has loyal fans not
simply because of the features
and benefits they offer, but
everything that goes into opening
and using a new product, visiting
a retail store, and more.
How Apple Does Empathy.
15. Apple employees are trained
to do more than fix problems.
They are taught to validate
concerns and show concern
when the customer’s
expectations aren’t met.
It’s part of the design, not a
tacked-on afterthought.
How Apple Does Empathy.
Source: Gizmodo
16. Some companies focus on a simple metric like a net promoter score (NPS).
Don’t Take Shortcuts.
Source: Buffer
These only scratch the surface of what’s going on in your customer’s mind.
These results alone are not specific enough to draw out actionable insights
that can be used to turn a “good enough” experience into a great one.
18. How to quantify qualitative observations or assumptions:
1. Quantify assumptions and observations with relevant metrics. Don’t rely
on anecdotes, opinions, votes, or defer to the loudest voice in the room.
2. Dig deeper by applying psychological principles. Go beyond the surface
by looking at more advanced data that uncovers motivational triggers.
3. Visualize and democratize the results. Share the information with the
entire team to spread the knowledge and insights.
Quantifying the Qualitative.
19. Many charts could be used to
portray data, but radar charts
are great at showing a lot of
points at a glance.
But basic charts don’t dig deep
enough to know what’s going
on both inside and outside of
the company.
Visualizing Quantitative Data.
Leadership
Communication
Innovation
Training
AgilitySupport
Collaboration
Wellness
21. Turning data into beautiful visuals
isn’t the ultimate goal, but an
improved customer experience.
All of the quantitative data and
qualitative observations should be
combined and feed into a cohesive
dashboard that is easy to look at
and understand, and offers
meaningful, actionable insights.
Journey Analytics.