The hottest Analytics Substack posts right now

And their main takeaways
Category
Top Technology Topics

The State of Data Testing in 2024: Why We Still Have Broken Windows

Inside Data by Mikkel Dengsøe • 49 implied HN points • 18 Nov 24
🕹 Technology Analytics
  1. Data teams are overwhelmed by too many alerts from test failures. This leads to important issues being overlooked.
  2. It's crucial to focus on the right tests that have significant business impact rather than just mechanical tests. This means deeper insights into the data are needed.
  3. Sharing the responsibility for data quality across teams can improve the situation. When everyone understands their role, issues are resolved faster.

S2: Ep3 - Reflections

CAUSL Effect • 19 implied HN points • 22 Dec 23
💼 Business Analytics
  1. Starting a business is really hard, and making money from scratch is tougher than having a regular job. There are many things you can control, but many more you can't.
  2. Losing a co-founder can feel really lonely and make you doubt your path, but it can also be a big turning point in your journey.
  3. Building tools that help others do their own analysis is rewarding, and being part of a supportive team makes a big difference in your work life.

How The Los Angeles Dodgers Used Analytics To Become MLB's Most Feared Team

Huddle Up • 46 implied HN points • 01 Nov 24
🎾 Sports Analytics
  1. The Dodgers became very successful by investing a lot in analytics over ten years. This helped them make smart decisions that improved their performance.
  2. Their analytics-driven approach changed the team's fortune, turning them into MLB's second-most valuable team. It shows how important data can be in sports.
  3. Winning two World Series Championships in four years highlights the effectiveness of their strategies. It's a great example of how teamwork and strategy can lead to big successes.

Guide to using Perplexity Labs for financial analysis

The Product Channel By Sid Saladi • 13 implied HN points • 29 Jun 25
💼 Business Analytics
  1. Perplexity Labs simplifies financial analysis by automating tasks. Instead of spending hours on spreadsheets, you can get dashboards and reports quickly.
  2. Templates are a huge help when using Perplexity Labs. They provide ready-made structures for various tasks like market analysis and financial reporting, saving you time.
  3. While Perplexity Labs can provide quick insights, it's important to double-check the results. It’s great for broad analysis, but detailed reviews still need a human touch.
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Online attribution is dying. Clicks are dying. What should you do about it?

Nail It and Scale It • 1 HN point • 05 Aug 24
💼 Business Analytics
  1. Online attribution isn't dead, but it's getting trickier. You might still be able to track how your ads are performing, especially if you're spending less than $10k a month.
  2. It's important to set up proper tracking for your marketing efforts. Tools like call tracking and unique landing pages can help you see where your customers are coming from.
  3. When attribution is tough, consider using estimates or lift analysis. These methods can help you guess how different marketing efforts contribute to sales, even if it's not perfect.

Inside Netflix's $150 Million Bet On Christmas Day NFL Games

Huddle Up • 31 implied HN points • 23 Dec 24
🎾 Sports Analytics
  1. Netflix is investing $150 million in NFL games on Christmas Day. This is a big move as they try to attract more viewers.
  2. NBA viewership has dropped a lot recently, down over 25% compared to last year. This decline is making people worry about the sport's popularity.
  3. Despite NBA's falling ratings, they signed a massive $76 billion media rights deal. This shows that there's still a strong market interest in basketball, even if viewership is down.

S2 E2: From Stone Sculptures to Building Cities - Focussing on the Bigger Picture

CAUSL Effect • 19 implied HN points • 09 Oct 23
💼 Business Analytics
  1. Focus on details is important, but remember to see the bigger picture too. Each person's work should fit well into the overall goals of the team or company.
  2. Like the sculptures on the Arc de Triomphe tell a story, all parts of a project should connect to create a clear message for the audience.
  3. Using self-serve tools can help teams get quick insights. This lets everyone focus on the important work that benefits the entire organization.

How Much Data Is Too Much?

Build To Scale • 19 implied HN points • 15 Sep 23
💼 Business Analytics
  1. Focus on a small set of key metrics at the executive level to avoid conflicting views and promote progress.
  2. Be cautious of over-analyzing data and creating a culture where analysis overshadows taking necessary actions.
  3. For startups, while revenue predictability is important, it's natural to experience volatility, especially in early stages.

16 Research-Backed Tips To Boost The Adoption Of Your Chrome Extension

Harmony • 19 implied HN points • 29 Mar 23
🕹 Technology Analytics
  1. Improving your Chrome extension details page can increase visibility, installs, and user retention without changing the extension itself.
  2. Including the utility of your extension in the title helps users understand its purpose quickly and improves discoverability.
  3. Utilize images, videos, badges, customer support, description structure, sidebar, and analytics to optimize your Chrome Web Store page for better user engagement and performance tracking.

Error 404: Google Search Not Found

Sector 6 | The Newsletter of AIM • 19 implied HN points • 26 Jun 23
🕹 Technology Analytics
  1. Search engines are changing a lot, and soon we might just chat with AI instead of typing our questions. They might still show some links, but the focus will be on conversation.
  2. Google had the goal of using AI in their search from the very beginning. Even in 2002, they tried a service where humans would answer questions, but they quickly realized they needed AI to handle all the inquiries.
  3. Larry Page, one of Google's founders, said that they would know their mission was complete once their search engine was fully powered by AI. They see the future of search as relying on artificial intelligence.

How to think about social effectiveness to protect creative budgets

The Social Juice • 24 implied HN points • 20 Dec 24
💼 Business Analytics
  1. When discussing social media success, it's important to focus on effectiveness, not just creativity. You need to tell a complete story about how your ideas impact the brand and business.
  2. To have a strong approach, measure three key areas: channel effects, brand effects, and commercial effects. This way, you can show not only how many people saw your content but also how it influenced brand awareness and sales.
  3. Always establish clear success measures before starting a project. This helps everyone understand how to evaluate success and can lead to better budget support in the future.

Semantic Superiority - Part 2

davidj.substack • 107 implied HN points • 29 Mar 23
🕹 Technology Analytics
  1. Semantic layers reduce repetitive code by providing a consistent framework for queries.
  2. Semantic layers enhance data security by controlling access and reducing accidental exposure of sensitive data.
  3. A semantic layer defines entities and structures, while a metrics layer is a subset that focuses mainly on defining data models.

Metricalypse Now

davidj.substack • 107 implied HN points • 15 Feb 23
🕹 Technology Analytics
  1. Two approaches to metrics layers: wide datasets without defined data models vs. defined data model for more powerful metrics.
  2. Importance of new semantic layer by dbt Labs acquiring Transform for a universal standalone analytics solution.
  3. Opportunity for data consumption vendors to integrate with new dbt semantic layer for a ubiquitous solution.

Ronin is LIVE on Dune!

Ronin’s Newsletter • 24 implied HN points • 11 Nov 24
🔮 Crypto Analytics
  1. Ronin is now accessible on Dune Analytics, allowing users to analyze on-chain transactions and build dashboards for various data insights.
  2. Creating dashboards on Dune is easy; just sign up, choose Ronin, and start building your queries to visualize data.
  3. The Dune API lets users get real-time data updates and notifications, making it simpler for developers and analysts to track important metrics.

Streaming in real life

davidj.substack • 47 implied HN points • 23 Feb 24
🕹 Technology Analytics
  1. Real-time data streaming from databases like MySQL to data warehouses such as Snowflake can significantly reduce analytics latency, making data processing faster and more efficient.
  2. Streamkap offers a cost-effective solution for streaming ETL, promising to be both faster and more affordable than traditional methods like Fivetran, providing a valuable option for data professionals.
  3. Implementing Streamkap in data architectures can lead to substantial improvements, such as reducing data update lag to under 5 minutes and delivering real-time analytics value for customers, showcasing the impact of cutting-edge data technology.

Predict a Mockingbird: November Week-2

The Parlour • 17 implied HN points • 11 Nov 24
💰 Finance Analytics
  1. Companies can show strong or weak financial health based on key metrics like cash flow and profitability. This helps investors decide where to put their money.
  2. Insider trading activities can hint at stock movements. If insiders are buying, it might be a good sign, but heavy selling could be a warning.
  3. Using tools like search interest and news sentiment helps track how a company is viewed in the market. Positive buzz can mean good things for stock performance.

Once more unto the breach...

davidj.substack • 71 implied HN points • 01 Mar 23
🕹 Technology Analytics
  1. Automating simple data requests can save time and effort in data analysis workflows.
  2. Effective self-serve BI tools require reliable data pipelines, transformation processes, and a semantic layer.
  3. Text-to-SQL tools can improve automation but may require caution due to potential errors and lack of trust in results.

10,000 Newsletter Subscribers

Jakob Nielsen on UX • 36 implied HN points • 10 Jan 24
💼 Business Analytics
  1. Exponential growth for newsletters comes from high conversion rates and small starting numbers.
  2. Email newsletters are more impactful than social media for connecting with an audience.
  3. Steady growth and consistent content quality can lead to significant subscriber growth over time.

What does Alteryx do?

Technically • 12 implied HN points • 07 Jan 25
🕹 Technology Analytics
  1. Alteryx is a tool that helps teams make sense of messy data without needing to code. It allows people to clean and analyze their data easily.
  2. Many companies have limited access to specialized data teams, which makes tools like Alteryx important for non-technical users.
  3. Alteryx started with a simple workflow builder for data cleaning but has grown to include many other analytics tools over time.

Knowledge, Understanding, and Quarterbacks

Lucky Maverick • 4 implied HN points • 21 Jul 25
🎾 Sports Analytics
  1. True understanding comes from being able to make correct predictions. Just knowing facts isn't enough.
  2. Most of what we think we know might actually be wrong or useless. It's important to dig deeper and understand why things are true.
  3. To really learn something, you start with wrong beliefs, investigate, and test those beliefs through predictions until you grasp the true concept.

Navigating Web3 Analytics: A Guide for Data Professionals

Web3 for Analytics Engineers • 1 HN point • 13 Jun 24
🕹 Technology Analytics
  1. Web3 is a decentralized internet on blockchain tech, aiming for user ownership and benefits for many people.
  2. Blockchain technology, at the core of Web3, offers immutability, decentralization, transparency, and cryptographic security.
  3. Web3 analytics introduces opportunities like decentralized data storage, on-chain data analysis, smart contract analytics, DeFi analytics, and NFT analytics.

Data Science Weekly - Issue 471

Data Science Weekly Newsletter • 19 implied HN points • 01 Dec 22
🕹 Technology Analytics
  1. MLOps is important for automating and managing machine learning products. It helps researchers and practitioners understand the principles and challenges of operating ML systems.
  2. Companies face trade-offs when transitioning to real-time machine learning pipelines. They must balance performance, cost, and infrastructure complexity to find the best solution.
  3. The FDA and other agencies have created guiding principles for using machine learning in medical devices. These principles aim to ensure the safety and effectiveness of AI/ML in healthcare.

Turnaround #2

Turnaround • 98 implied HN points • 29 Jul 19
🎨 Art & Illustration Analytics
  1. Good storytelling helps you stand out and get noticed, conveying facts more effectively than presentations.
  2. A good story typically includes a central character, conflict, message, plot, and a journey.
  3. Timing matters in sharing your story - consider waiting until product-market fit or a launch to engage with media.

Data Science Weekly - Issue 468

Data Science Weekly Newsletter • 19 implied HN points • 10 Nov 22
🕹 Technology Analytics
  1. If you're thinking about leaving Twitter, it's a good idea to save your data first. You can use it to find trends and insights that might be really useful later.
  2. Learning command-line data analytics can make your data processing much easier. There's a new tool called SPyQL that makes it simpler to work with and understand data on the command line.
  3. Federated learning allows us to train models using data from many users without needing to see the actual data. This means we can protect privacy while still making progress in AI.

The NFL Is Working On Technology To Eliminate The Chain Gang

Huddle Up • 22 implied HN points • 08 Mar 24
🎾 Sports Analytics
  1. The NFL is developing optical tracking technology to replace the traditional 'chain gang' for measuring first-down yardage.
  2. The NFL has been using RFID chips in footballs and players' gear for tracking player movements and collecting Next Gen stats.
  3. Introducing additional video review technology in the NFL could complicate the game over time and may not necessarily be a positive change.

GPT-4, Bias-Variance Tradeoff & Gupshup 💽🛰🔨

Sector 6 | The Newsletter of AIM • 39 implied HN points • 19 Sep 21
🕹 Technology Analytics
  1. Rankings of data science courses in India help students choose the right programs. They get a broad overview of what's available in the education landscape.
  2. The rankings come from careful surveys and research, ensuring the information is reliable. More than 150 courses get nominated every year to keep the list current.
  3. Gupshup is a topic that combines interesting discussions about analytics and technology. It’s a great way to explore the latest trends in data science.

Data Science Weekly - Issue 459

Data Science Weekly Newsletter • 19 implied HN points • 08 Sep 22
🕹 Technology Analytics
  1. Organizations need to invest in creating better data to gain an advantage over competitors. Good data can drive value and improve decision-making.
  2. The activation layer of the modern data stack helps you use data in a more impactful way. This allows for personalized experiences rather than just viewing dashboards.
  3. Using standard formats like ONNX for model exporting makes your machine learning models more portable across different programming environments, reducing dependencies on specific languages.

Data Science Weekly - Issue 458

Data Science Weekly Newsletter • 19 implied HN points • 01 Sep 22
🕹 Technology Analytics
  1. Machine learning best practices are shared in a guide from Google, helping those with some knowledge to improve their skills.
  2. There's skepticism about deep learning promises, as experts continue to predict big changes that haven't happened yet.
  3. AI is being used creatively, like generating art from Bible stories, which showcases the potential of technology in different fields.

Data Science Weekly - Issue 456

Data Science Weekly Newsletter • 19 implied HN points • 18 Aug 22
🕹 Technology Analytics
  1. Machine learning models need ongoing maintenance after they're deployed. The world changes, and so do the needs for the models.
  2. Using machine learning can make software testing more efficient, especially in complex applications like browsers.
  3. There are many resources available for people who want to get into machine learning and deep learning, including courses, videos, and discussions on best practices.

Delivering Data & AI Strategy

TeamCraft • 26 implied HN points • 11 Sep 23
🕹 Technology Analytics
  1. Data transformation is a crucial step for companies to reach their true potential.
  2. Before diving into AI, focus on nailing down Data & Analytics foundations.
  3. Implementing Data & Analytics strategy requires more than technology - it's about people and culture.

AIM turns 10!

Sector 6 | The Newsletter of AIM • 19 implied HN points • 23 May 22
🕹 Technology Analytics
  1. AIM has been around for ten years, showing significant growth in analytics and technology. It's impressive how much the industry has evolved in that time.
  2. The rise of data science and AI/ML has changed the business landscape. People are now recognizing the importance of these fields more than ever.
  3. One major success of AIM is its role in establishing analytics as a key tech stack in the industry. They have helped people understand the value of data in decision-making.

Data Science Weekly - Issue 450

Data Science Weekly Newsletter • 19 implied HN points • 07 Jul 22
🕹 Technology Analytics
  1. AI forecasting contests help predict future progress and improve forecasting skills. It’s important to evaluate predictions against actual outcomes to see how accurate forecasters are.
  2. Analytics engineering has become a popular job choice, shifting from being less desired to highly sought after. This change reflects the growing need for skilled professionals in data analytics.
  3. High-quality machine translation is now possible for low-resource languages through models like NLLB-200. This will make information more accessible to speakers of these languages worldwide.

A/B Testing Paradox: UX Maturity Reduces Your Gains

Jakob Nielsen on UX • 15 implied HN points • 13 Mar 24
🕹 Technology Analytics
  1. In A/B testing, the average uplift from design changes is small, about 0.15%, with 54% of cases showing improvements of 0.5%.
  2. Only 19% of experiments result in statistically significant gains, with an average lift of 1.0% across those cases.
  3. As companies mature in UX, gains from design experimentation may decrease over time due to the nature of tested designs and the diminishing low-hanging fruit.

Think different, think local 🤳

Sector 6 | The Newsletter of AIM • 19 implied HN points • 21 Mar 22
🕹 Technology Analytics
  1. Language barriers can make communication difficult, especially in local contexts. It's important to have someone who speaks the local language to help.
  2. Local knowledge is valuable when trying to give directions or navigate services. It can really make a difference in getting things done.
  3. Thinking local can improve relationships and efficiency in various situations. Understanding local cultures and languages helps everyone connect better.

#BreaktheBias in AI & Analytics

Sector 6 | The Newsletter of AIM • 19 implied HN points • 13 Mar 22
🕹 Technology Analytics
  1. There's a growing need to talk about gender equality in AI and analytics. It's important for everyone to join the conversation.
  2. Women and girls in science and technology bring a lot of benefits. Their contributions can help us make more progress in these fields.
  3. Discussing topics like the gender pay gap and biases is crucial. These issues need attention to create a fairer workplace for all.

Tweaking Hubspot for the collaborative PLG SaaS

nonamevc • 20 implied HN points • 06 Sep 23
🕹 Technology Analytics
  1. Product-led growth strategy uses product usage to educate and evaluate customers.
  2. HubSpot offers CRM integration benefits for PLG startups, such as lead management and marketing automation.
  3. Establishing Revenue Ops fundamentals in HubSpot involves syncing data from tools like Stripe and creating custom objects for unique business needs.