Let’s paint a picture. Imagine a world where data isn’t just a bunch of numbers and spreadsheets. Imagine it’s a playground, a canvas, a story waiting to be told. That’s where the BI Wiz Kids come in. These aren’t just data analysts; they’re artists, storytellers, and cheerleaders for your data.
What’s so special about a “creative, cheerful style”?
Well, it’s like the difference between a plain old recipe and a mouthwatering culinary masterpiece. The ingredients might be the same, but the way they’re combined, the flavors they bring together, and the presentation that makes it all pop – that’s where the magic lies.
Microsoft Power BI – BI Consultant – A for Analytics
A BI Wiz Kid with a creative, cheerful style can do wonders for your data. They can:
Turn numbers into narratives. Instead of just saying “sales increased by 10%,” they’ll tell you a story about how a new marketing campaign boosted customer engagement and led to record-breaking revenue.
Make complex things simple. They’ll break down complicated data sets into easy-to-understand visualizations, charts, and graphs. No more staring at spreadsheets with a blank expression.
Add a touch of personality. They’ll infuse their work with a bit of humor, a dash of wit, or a sprinkle of inspiration. Because let’s face it, data doesn’t have to be boring.
Make data more relatable. They’ll connect your data to real-world examples, stories, and experiences. So instead of just seeing numbers, you’ll see the people behind them.
But why is a cheerful attitude so important?
Well, a happy, positive outlook can go a long way. It can:
Reasons Business Intelligence Consultants Use Power BI
Create a more enjoyable work environment. When everyone is smiling and having fun, it’s easier to be productive and creative.
Boost morale and motivation. A positive attitude can inspire others to do their best work.
Improve collaboration. When people are cheerful and open-minded, it’s easier to work together and find solutions to problems.
So, what does a creative, cheerful BI Wiz Kid look like in action?
Imagine a dashboard that’s not just functional but also visually appealing, with bright colors, playful icons, and engaging storytelling elements. Or a presentation that’s not just informative but also inspiring, with captivating visuals, humorous anecdotes, and a message that resonates with the audience.
A BI Wiz Kid with a creative, cheerful style is like a breath of fresh air in a world of spreadsheets and statistics. They’re the ones who can make data come alive, tell your story, and bring a smile to your face. So the next time you’re looking for someone to help you make sense of your data, look for a BI Wiz Kid who can not only crunch the numbers but also paint a beautiful picture with them.
2. Data Visualization: The Art of Storytelling
Imagine a world where numbers and statistics could dance and sing, painting vivid pictures that leap off the page. That’s the magic of data visualization. It’s the art of transforming raw data into captivating stories that anyone can understand.
Data visualization is more than just charts and graphs; it’s a powerful tool for communicating insights and driving decisions. By presenting data in a visually appealing and engaging way, you can make complex information accessible to a wider audience, from business leaders to casual observers.
The Building Blocks of Data Visualization
At the heart of data visualization are three key elements:
1. Data: This is the foundation of any visualization. It’s the raw material that you’ll use to create your story.
2. Visual Elements: These include charts, graphs, maps, and other visual components that help you represent your data.
3. Narrative: This is the story that your visualization tells. It’s the message that you want to convey to your audience.
Choosing the Right Visualization
Selecting the appropriate visualization for your data is crucial. Consider the type of data you’re working with and the story you want to tell. Here are a few common visualization techniques:
Bar charts: Ideal for comparing categories or showing trends over time.
Line charts: Great for visualizing continuous data, such as stock prices or temperature.
Pie charts: Effective for showing the composition of a whole.
Scatter plots: Useful for exploring relationships between two variables.
Maps: Perfect for visualizing geographic data.
Creating Compelling Visualizations
To create visualizations that truly resonate, keep these tips in mind:
Simplicity: Avoid clutter and focus on the key message.
Clarity: Use clear labels and legends to explain your data.
Color: Choose colors that are visually appealing and easy to distinguish.
Interactivity: Allow users to explore your data further by adding interactive elements.
Real-World Examples
Let’s look at a few examples of how data visualization can be used to tell compelling stories:
Mapping crime rates: By visualizing crime data on a map, cities can identify hotspots and allocate resources more effectively.
Tracking sales performance: Interactive dashboards can help sales teams monitor their progress and identify areas for improvement.
Analyzing customer behavior: Visualizations can reveal patterns in customer purchasing habits and preferences.
The Power of Storytelling
Data visualization is not just about presenting information; it’s about telling stories that inspire, inform, and persuade. By using the right techniques and tools, you can transform your data into powerful narratives that captivate your audience and drive meaningful action.
So, the next time you’re faced with a mountain of data, remember the power of visualization. With a little creativity and imagination, you can turn those numbers into a beautiful story that everyone can appreciate.
3. Data Visualization: The Art of Storytelling
Imagine you’re trying to explain a complex concept to a friend who isn’t particularly interested. You could drone on and on, reciting facts and figures, but chances are, their eyes will glaze over. Or, you could tell them a story. A good story captures attention, evokes emotion, and makes information easy to remember.
That’s where data visualization comes in. It’s the art of turning raw data into a compelling narrative. By using charts, graphs, and other visual elements, you can transform numbers into a story that anyone can understand.
Why is data visualization important?
Makes data more accessible: Even if you’re a data whiz, it’s hard to make sense of large amounts of raw data. Data visualization helps you organize and present information in a way that’s easy to understand.
Improves decision-making: When data is presented visually, it’s easier to identify trends, patterns, and anomalies. This can help you make better informed decisions.
Enhances communication: Data visualization is a powerful tool for communicating ideas. It can help you convey complex concepts in a way that’s clear, concise, and engaging.
Types of data visualization
There are many different types of data visualization techniques. Some of the most common include:
Bar charts: Used to compare different categories.
Line charts: Used to show trends over time.
Pie charts: Used to show the composition of a whole.
Scatter plots: Used to show the relationship between two variables.
Maps: Used to visualize geographic data.
Tips for creating effective data visualizations
Know your audience: Who are you trying to communicate with? What do they already know about the topic? Tailor your visualization to their needs and interests.
Choose the right chart type: Not all charts are created equal. Choose the chart type that best suits your data and your message.
Keep it simple: Don’t clutter your visualization with too much information. Stick to the essentials and let the data tell the story.
Use color wisely: Color can be a powerful tool for highlighting important information. But use it sparingly and choose colors that are easy on the eyes.
Tell a story: Your visualization should be more than just a collection of charts and graphs. It should tell a story that’s easy to follow and interesting to read.
Examples of data visualization
Here are a few examples of how data visualization can be used to tell compelling stories:
The New York Times’ “What Makes a City Happy?” This interactive visualization uses maps, charts, and graphs to explore the factors that contribute to happiness in different cities around the world.
Gapminder’s “Health, Wealth, and Happiness.” This visualization uses a series of bubble charts to show how health, wealth, and happiness have changed over time for different countries.
The Washington Post’s “The Casualties of War.” This visualization uses a series of interactive maps to show the locations of U.S. military deaths in Iraq and Afghanistan.
By using data visualization effectively, you can transform your data into a powerful tool for storytelling and communication. So, the next time you’re faced with a complex dataset, remember: data visualization can be your best friend.
4. Data Visualization: The Art of Storytelling
Imagine you’re trying to explain a complex concept to a friend who isn’t particularly interested. You could drone on and on, reciting facts and figures, but chances are, their eyes will glaze over. Or, you could tell them a story. A captivating, relatable story that makes the concept easy to understand and remember. That’s the power of storytelling. And in the world of data, it’s known as data visualization.
Data visualization is the art of transforming raw data into something visually appealing and informative. It’s like turning a jumble of numbers and letters into a beautiful, coherent story. By using charts, graphs, and other visual elements, we can make complex data accessible to everyone, from seasoned analysts to casual observers.
Why is data visualization so important?
Enhanced Understanding: Visuals can help us grasp complex concepts more quickly and easily. When we see data presented in a clear and concise way, it’s easier to understand relationships, trends, and patterns.
Improved Communication: Data visualization can help us communicate our findings more effectively. Instead of relying solely on written reports or presentations, we can use visuals to tell a compelling story that captures our audience’s attention.
Better Decision Making: By visualizing data, we can identify trends and patterns that might not be apparent when looking at raw numbers. This can help us make more informed and effective decisions.
Types of Data Visualization
There are many different types of data visualization techniques, each with its own strengths and weaknesses. Here are a few of the most common:
Bar Charts: Great for comparing different categories or values over time.
Line Charts: Ideal for showing trends and patterns over time.
Pie Charts: Useful for representing parts of a whole.
Scatter Plots: Show the relationship between two variables.
Maps: Can be used to visualize geographic data.
Infographics: Combine text, visuals, and data to tell a story in a visually appealing way.
Tips for Effective Data Visualization
Know Your Audience: Consider who you’re trying to communicate with and tailor your visualizations accordingly.
Choose the Right Chart Type: Select the chart type that best suits your data and the message you want to convey.
Use Clear Labels and Titles: Make sure your visualizations are easy to understand by using clear labels and titles.
Limit Colors and Patterns: Too many colors or patterns can be overwhelming and difficult to read.
Tell a Story: Use your visualizations to tell a compelling story that engages your audience.
Use Interactive Elements: Consider incorporating interactive elements, such as tooltips or filters, to provide additional context and insights.
By mastering the art of data visualization, you can transform your data into a powerful storytelling tool. So the next time you’re faced with a complex dataset, remember: don’t just look at the numbers, tell a story with them!
5. Building a Data Storytelling Castle
Imagine your data as a treasure trove of stories, waiting to be told. You’re the storyteller, and your job is to weave these stories into a captivating narrative. But how do you do that? The answer lies in building a data storytelling castle.
The Foundation: A Strong Data Structure
Just like a castle needs a sturdy foundation, your data story needs a solid structure. Start by organizing your data into a logical sequence. This might involve grouping related data points, creating timelines, or identifying key trends. A well-structured foundation will provide a stable base for your storytelling.
The Walls: Visualizations That Tell a Story
Once you have your foundation, it’s time to build the walls of your castle. These walls are your visualizations. Choose visualizations that are not only visually appealing but also effectively communicate your message. Bar charts, line graphs, pie charts, and scatter plots are just a few examples. Remember, the goal is to create visualizations that tell a story, not just present data.
The Roof: A Compelling Narrative
The roof of your castle is the overarching narrative that ties your story together. It’s the thread that connects your visualizations and makes your data meaningful. Start by identifying the main message you want to convey. Then, craft a story that supports this message. Use your visualizations to illustrate key points and bring your story to life.
The Windows: Insights and Takeaways
Windows are essential for letting light into your castle and providing a glimpse of the world outside. In data storytelling, your windows are the insights and takeaways that you want your audience to remember. These are the key points that you want to highlight. Make sure your visualizations and narrative clearly convey these insights.
The Tower: The Call to Action
A castle often has a tower, a place of observation and strategy. In data storytelling, your tower is the call to action. It’s the final piece of your story that encourages your audience to take action. Whether it’s making a decision, changing a behavior, or simply gaining a new perspective, your call to action should be clear and compelling.
Decorations: The Finishing Touches
To make your castle truly special, add some decorations. This might involve using color, fonts, and other stylistic elements to enhance your visualizations. Remember, the goal is to create a visually appealing and engaging presentation.
The Key: Practice and Feedback
Building a data storytelling castle takes practice. The more you practice, the better you’ll become at crafting compelling narratives. Don’t be afraid to seek feedback from others. Their insights can help you improve your storytelling skills.
By following these steps, you can build a data storytelling castle that is both informative and engaging. Remember, the goal is to use your data to tell a story that resonates with your audience.
6. Data-Driven Storytelling
Imagine a world where data isn’t just a bunch of numbers and charts, but a captivating story waiting to be told. That’s the power of data-driven storytelling. It’s the art of transforming raw data into a compelling narrative that resonates with your audience.
Why is data-driven storytelling important?
Engagement: A well-crafted story is more engaging than a dry presentation of facts. It keeps your audience interested and invested.
Persuasion: By telling a story with data, you can persuade people to take action or believe in your ideas.
Understanding: Storytelling can help people understand complex concepts and make informed decisions.
How can you become a master of data-driven storytelling?
1. Know your audience: Who are you trying to convince? What do they already know about your topic? What are their interests and concerns?
2. Identify the key message: What is the main point you want to convey? This will be the backbone of your story.
3. Choose the right data: Select the data that best supports your message and is easy to understand.
4. Create a compelling narrative: Structure your story with a beginning, middle, and end. Use vivid language and imagery to bring your data to life.
5. Visualize your data: Use charts, graphs, and other visuals to make your data more accessible and engaging.
6. Practice, practice, practice: Storytelling is a skill that takes time to develop. The more you practice, the better you’ll become.
Example of data-driven storytelling:
Let’s say you’re a marketing manager trying to convince your boss to invest in a new social media campaign. Instead of just presenting a bunch of statistics, you could tell a story about a customer who was inspired to buy your product after seeing a post on Instagram. You could use data to show how your social media engagement has increased over time and how this has led to more sales. By telling a story, you’re more likely to persuade your boss to support your campaign.
Tips for effective data-driven storytelling:
Start with a strong hook: Grab your audience’s attention with a surprising fact or a compelling question.
Use relatable examples: People are more likely to connect with your story if they can see themselves in it.
Avoid jargon: Keep your language simple and easy to understand.
Use humor: A well-placed joke can make your story more memorable.
Practice empathy: Put yourself in your audience’s shoes and try to understand their perspective.
By mastering the art of data-driven storytelling, you can become a more effective communicator and influencer. So go ahead, let your data do the talking!
7. Data-Driven Storytelling
Imagine you’re a magician, but instead of pulling rabbits out of hats, you weave captivating tales from raw data. That’s the essence of data-driven storytelling. It’s the art of transforming numbers and statistics into compelling narratives that resonate with your audience.
Why is storytelling with data so important?
Engagement: Numbers alone can be dry and uninspiring. By turning them into stories, you make them more engaging and memorable.
Persuasion: A well-crafted story can be more persuasive than a simple presentation of facts.
Understanding: Storytelling can help people understand complex concepts and make informed decisions.
So, how do you become a master of data-driven storytelling?
1. Know Your Audience: Before you start crafting your story, understand who you’re telling it to. What are their interests? What do they already know about the topic? Tailor your story to their needs and preferences.
2. Identify the Story: Every dataset holds a story. Your job is to find it. Look for trends, patterns, and anomalies that can be the foundation of your narrative.
3. Choose a Structure: There are many different storytelling structures you can use. Consider using a classic narrative structure with a beginning, middle, and end. Or, try a more unconventional approach like a case study or a personal anecdote.
4. Use Visuals: Visuals can enhance your storytelling and make your data more accessible. Charts, graphs, and infographics can help you illustrate key points and make your story more engaging.
5. Practice Your Delivery: Once you’ve crafted your story, practice delivering it. This will help you become more confident and ensure that your message comes across clearly.
Here are some tips for creating engaging data-driven stories:
Use vivid language: Instead of saying “sales increased,” try “sales skyrocketed.”
Add a human element: Share personal stories or anecdotes that relate to your data.
Use humor: A well-placed joke can lighten the mood and make your story more memorable.
Keep it simple: Avoid overwhelming your audience with too much data. Focus on the key points of your story.
Remember, data-driven storytelling is a skill that takes practice to master. But with a little creativity and imagination, you can turn your data into powerful and persuasive narratives.
So, what story will you tell with your data today?
Number 8: The Data Detective
Imagine being a detective, but instead of solving mysteries involving people, you’re unraveling the secrets hidden within data. That’s the role of a Data Detective, a fascinating job that combines the thrill of discovery with the power of technology.
What Does a Data Detective Do?
Data Detectives are like Sherlock Holmes, but for the digital age. They use their skills to analyze vast amounts of data, looking for patterns, trends, and insights that can help businesses make smarter decisions. Their work involves:
Collecting Data: Gathering information from various sources, such as databases, spreadsheets, and surveys.
Cleaning and Preparing Data: Ensuring the data is accurate, consistent, and ready for analysis.
Analyzing Data: Using statistical methods and data visualization tools to uncover meaningful information.
Interpreting Results: Explaining the findings in a clear and concise manner to stakeholders.
Making Recommendations: Suggesting actions based on the insights gained from the data.
Why is Being a Data Detective Important?
In today’s data-driven world, businesses rely heavily on data to make informed decisions. Data Detectives play a crucial role in helping organizations:
Improve Efficiency: By identifying areas where processes can be streamlined and optimized.
Enhance Customer Satisfaction: By understanding customer preferences and behaviors.
Reduce Costs: By uncovering opportunities to save money and eliminate waste.
Gain a Competitive Advantage: By making data-driven decisions that set them apart from competitors.
What Skills Do Data Detectives Need?
To become a successful Data Detective, you need a combination of technical and soft skills, including:
Strong Analytical Skills: The ability to think critically and solve complex problems.
Proficiency in Data Analysis Tools: Knowledge of software like Excel, Python, R, and SQL.
Statistical Understanding: A grasp of statistical concepts and methods.
Data Visualization Skills: The ability to create clear and informative charts and graphs.
Excellent Communication Skills: The ability to explain complex findings to a non-technical audience.
Curiosity and a Passion for Learning: A desire to continuously explore new data analysis techniques and technologies.
Career Paths for Data Detectives
The field of data analysis is growing rapidly, offering exciting career opportunities for Data Detectives. Some potential career paths include:
Data Analyst: A generalist role responsible for collecting, cleaning, and analyzing data.
Business Analyst: A role focused on using data to improve business processes and decision-making.
Data Scientist: A highly skilled professional who develops and applies data mining techniques to extract insights from large datasets.
Data Engineer: A role responsible for building and maintaining data infrastructure.
Data Consultant: A professional who provides data analysis services to clients.
Becoming a Data Detective
If you’re interested in becoming a Data Detective, there are several ways to get started:
Earn a Degree: Consider pursuing a degree in computer science, statistics, mathematics, or a related field.
Take Online Courses: Many online platforms offer courses in data analysis and data science.
Gain Practical Experience: Look for opportunities to work on data analysis projects, either through internships or personal projects.
Network with Professionals: Connect with other data professionals to learn about the field and potential career opportunities.
The Future of Data Detectives
As the amount of data continues to grow exponentially, the demand for skilled Data Detectives will only increase. These professionals will play a vital role in shaping the future of businesses and society. So if you have a passion for solving problems and a love for data, becoming a Data Detective might be the perfect career for you.
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Maximize Growth With Top Business Intelligence Software I’ll need the list you mentioned to start crafting the article. Once you share it, I can dive into the first item and create a captivating 1000-word piece that aligns with the “Skyrocket your business with top-notch data tools” theme. Here’s a general idea of how I’ll approach it: Identify the core concept of the list item. Connect it to business growth and improvement. Explain how data tools can enhance this concept. Use vivid language and engaging storytelling. Provide practical examples and insights. Maximize Growth with Top Business Intelligence ToolsI’m ready to turn that list item into a data-driven masterpiece!…
Analyzing And Visualizing Data With Microsoft Power Bi 1. Connect to Your Data Imagine your data as a treasure trove, brimming with insights waiting to be discovered. But without a key, it’s just a locked vault. That’s where Power BI comes in. It’s the key that unlocks your data’s potential, allowing you to explore, analyze, and visualize it in ways you never thought possible. Connecting to Your Data: A Step-by-Step Guide 1. Choose Your Data Source: Power BI can connect to a wide range of data sources, including Excel files, SQL databases, CSV files, and even cloud-based services like Salesforce and Azure SQL Database. 2. Import or Live…
Cognos Analytics Ibm 1. Unleash the Power of Data Storytelling In the realm of data analytics, where numbers and figures often reign supreme, there’s a growing need for a narrative that can captivate and inspire. IBM Cognos Analytics emerges as your data’s new best friend, offering a powerful toolkit to transform raw data into compelling stories. Imagine your data as a treasure trove of insights, waiting to be discovered. With Cognos Analytics, you’re not just a data explorer; you’re a storyteller. The platform empowers you to weave a narrative that resonates, using visuals, charts, and interactive elements to bring your data to life.…
Power Bi Consulting Firm 1. The Data Import Wizard: Your Magical Gateway to Data Imagine yourself as a powerful sorcerer, capable of conjuring breathtaking illusions from thin air. Now, picture that magic being applied to your data. That’s where the Data Import Wizard comes in—your personal gateway to the enchanting world of data visualization. The Data Import Wizard is more than just a tool; it’s a portal to a realm of infinite possibilities. With a few simple clicks, you can transform raw data into captivating stories that dance across your screen. It’s like tapping into a hidden reservoir of creativity, where your data becomes…
Hooking Up Businesses: A Cool New Platform Here’s a general outline of how I’ll approach the article once you provide the list: 1. Analyze the List Item: I’ll carefully examine the first item on your list to understand its core concept and potential connections to the theme “Hooking Up Businesses: A Cool New Platform.” 2. Develop the Hook: I’ll create a captivating introduction that grabs the reader’s attention and ties into the overall theme. 3. Create Engaging Subheadings: I’ll break down the article into sections using H2 subheadings that clearly outline the key points. 4. Write Informative and Entertaining Content: I’ll explain the list item in detail,…
Best Hr Software For Small Companies Once you share the list, I can create a 1000-word article focused on the first item, using the provided theme and style. Here’s a brief example of what the article structure might look like, using a hypothetical list item: Hypothetical List Item: Best Hiking Trails in the Pacific Northwest The Enchanting Wonderland of the Pacific Crest Trail Best HR Software for Small Businesses Reviewed for 24[Body of article, approximately 1000 words, exploring the Pacific Crest Trail in detail, connecting to the provided theme and maintaining a cheerful, creative tone.] I look forward to seeing your list! Here’s a general outline…
Ibm Cognos Analytics Trial 1. Connect with Your Data The first step on your journey to data mastery is to connect with your data. Think of it like making a new friend. You want to get to know them, understand their quirks, and learn what makes them tick. In the world of Cognos Analytics, connecting with your data is a breeze. You can import data from various sources, including spreadsheets, databases, and even cloud-based applications. It’s like inviting all your friends to a party, and they’re all eager to join in the fun. But how do you actually connect? Cognos Analytics Cloud Sign Up…
Elevate Your Data With Top Business Intelligence Software Once you share the list, I can craft an engaging article based on the first item. However, I can provide a general outline and example to give you an idea of what the article might look like. Potential Article Structure Assuming the list item is about a specific software or data analysis tool, here’s a possible structure: Marketing Analytics Tools to Elevate Your Data-Driven StrategiesH2: Unleash Your Data’s Potential with [Software Name] Hook: A captivating anecdote or surprising statistic about the power of data. Problem: Identify a common business challenge related to data management or analysis. Solution: Introduce the software…
Power Bi Professional License 1. Connect to a Wide Range of Data Sources Imagine having the power to tap into a vast universe of data, from the tiniest databases to the grandest data warehouses. Power BI Pro is your cosmic key to unlocking this data wonderland. With its ability to connect to a wide range of data sources, it’s like having a data-seeking super-suit. So, what kind of data sources can you connect to? Databases: SQL Server, Oracle, MySQL, PostgreSQL, and more. Think of these as the bustling cities of the data world, teeming with information. Cloud Services: Azure, AWS, Google Cloud Platform. These…
Easy Money, Easy Tracking: Your Small Business… However, I can provide a general template based on potential list items that often appear in small business accounting or inventory contexts. Potential List Items and Corresponding H2 Subheadings Here are some potential list items that might fit the theme “Easy Money, Easy Tracking: Your Small Business Accounting Buddy with Inventory Magic.” I’ve included potential H2 subheadings for each: List Item 1: Inventory Management Software H2: Your Inventory’s Best Friend: Software Solutions Best Inventory Management Software for Small Businesses List Item 2: Barcode Scanning H2: Scan, Track, Save: The Barcode Magic List Item 3: Cloud-Based Accounting H2: Accounting on the…
Enterprise Business Intelligence 1. Harnessing the Power of Data In the bustling world of business, where competition is fierce and the pace of change is relentless, having a competitive edge is paramount. This edge isn’t always about having the most innovative products or the most aggressive marketing campaigns. It often lies in something far more fundamental: data. Data, the raw material of the digital age, is a treasure trove of insights that can be harnessed to drive business growth and make informed decisions. But it’s not just about collecting data; it’s about understanding it, analyzing it, and turning it into actionable intelligence. That’s…
Alteryx Business Intelligence Imagine a world where data isn’t just a cold, hard collection of numbers and facts. A world where it’s a magical, shimmering substance, capable of revealing hidden trends, unlocking untapped potential, and guiding businesses towards success. In this enchanted realm, Alteryx is your very own fairy godmother, waving her wand and transforming raw data into pure gold. Alteryx is a powerful data analytics platform that simplifies complex tasks, making data analysis accessible to everyone from seasoned data scientists to business analysts. It’s like having a personal data wizard at your fingertips, capable of performing feats that would once have been…
