The hottest Analytics Substack posts right now

And their main takeaways
Category
Top Technology Topics

Introducing The Data Score Newsletter

The Data Score • 138 implied HN points • 05 Apr 23
🕹 Technology Data Technology Business Analytics Insights
  1. DataChorus LLC focuses on generating actionable insights for professionals and investors through data and technology.
  2. DataChorus aims to align data and technology with decision-making outcomes, explore different datasets and analytic frameworks for critical questions, and discuss scaling data practices and creating impactful data products.
  3. The Data Score Newsletter by Jason DeRise, CFA provides actionable ways to extract insights from data, explores breakthroughs in data and technology, and encourages open conversations to maximize success.

Choosing a Product Analytics Tool

Sarah's Newsletter • 299 implied HN points • 27 Sep 22
🕹 Technology Analytics Vendors Tools
  1. Product analytics is crucial to understand how users engage with your product through front-end tracking data like what pages they view and buttons they click.
  2. Event tracking data helps in analyzing funnels, identifying drop-offs, and creating customized user experiences, such as re-engagement campaigns.
  3. When choosing a product analytics tool, consider features like tracking implementation, native integrations, analysis capabilities, and pricing based on your team's skillset, budget, and main purpose for utilizing event tracking data.

The Thrill of Deprecating Dashboards

Sarah's Newsletter • 239 implied HN points • 29 Nov 22
🕹 Technology Analytics Automation Data Management BI Tools Data Visualization
  1. Having an excessive number of dashboards can lead to inefficiency and confusion within an organization. It's important to prioritize strategic organization over creating new dashboards indiscriminately.
  2. Developing an automated dashboard deprecation strategy can help save time and maintain a clean BI instance. By automating the process, organizations can efficiently manage and delete unused visuals.
  3. Implementing a proactive maintenance plan, such as using a data catalog or automated tools, can help keep BI instances organized and optimal for data insights. Regular cleaning and organization are key to ensuring the effectiveness of analytics strategies.

What CEOs, leaders, and investors need to know about the different meanings of AI

Mike Talks AI • 78 implied HN points • 27 Jul 23
🕹 Technology AI Analytics Deep Learning Machine Learning Algorithms
  1. The term AI can mean different things and understanding those meanings is crucial for clear communication, better decisions, and addressing concerns.
  2. Different definitions of AI include AGI or artificial general intelligence, deep learning for solving complex problems, and tools like ChatGPT for tasks like writing and summarizing.
  3. CEOs, leaders, and investors should explore opportunities in AGI, deep learning, ChatGPT, and practical AI to stay relevant and make informed decisions.
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Dashing Data Viz - Issue 232

Dashing Data Viz • 98 implied HN points • 04 Apr 23
🕹 Technology Data Visualization Analytics
  1. The newsletter shares curated news, articles, and jobs related to Data Visualization.
  2. There are interesting links shared, such as Twitter threads, articles on data visualization tools, and event announcements.
  3. Readers can engage by clicking on the links provided and subscribing to receive future newsletters.

Metricalypse Now

davidj.substack • 107 implied HN points • 15 Feb 23
🕹 Technology Data Management Analytics BI Tools Commercialization
  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.

Update now: Stop Running Playbooks Directly from Analytics Rules

Rod’s Blog • 79 implied HN points • 08 Jun 23
🕹 Technology Software Automation Analytics Security
  1. Microsoft Sentinel is deprecating the capability to assign Playbooks directly to Analytics Rules, encouraging the use of Automation Rules for better efficiency and management.
  2. With Automation Rules, you can manage all your automations from one place, trigger playbooks for multiple analytics rules with a single rule, define playbook execution order, and set expiration dates for playbook runs.
  3. Consider migrating existing Analytics Rules with directly assigned Playbooks to the new Automation Rules method to enhance effectiveness.

Tracking/Measurement/Collection/Creation - what was the question again?

timo's substack • 78 implied HN points • 26 Mar 23
🕹 Technology Data Engineering Analytics Data Privacy Data Collection
  1. Finding a niche involves identifying what you enjoy and what is consistently needed in your projects.
  2. Tracking data is easily understood, but may have a negative reputation due to its association with web tracking practices.
  3. Measurement is a broader term than tracking, and data collection is often overlooked in the data engineering process.

How Much Data Is Too Much?

Build To Scale • 19 implied HN points • 15 Sep 23
💼 Business Metrics Decision-making Analytics Culture
  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.

Tweaking Hubspot for the collaborative PLG SaaS

nonamevc • 20 implied HN points • 06 Sep 23
🕹 Technology CRM Data Management Analytics Marketing Automation
  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.

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

Harmony • 19 implied HN points • 29 Mar 23
🕹 Technology Software Marketing Analytics Support SEO
  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.

How to find out what Substacks your subscribers are paying for

Next Big Newsletter • 15 implied HN points • 03 Mar 23
💼 Business Entrepreneurship Marketing Subscription Analytics Content creation
  1. Check your Substack dashboard's 'Subscribers' tab to see what your subscribers are paying for
  2. Analyze the publications your subscribers are subscribed to for insights on content, pricing, structure, and more
  3. Use subscriber information to tailor your content and strategy to meet their preferences

Shipt: Moving from startup to mature product organization

Behind the Product • 1 HN point • 13 Feb 24
💼 Business Management Product Feedback Analytics Hiring
  1. The shift from project-led to product-led culture is important for growth and longevity.
  2. Structuring a product and tech organization around market segments and operational functions is crucial for a multi-sided marketplace like Shipt.
  3. Emphasizing outcome-focused and metrics-driven problem-solving, and actively seeking and incorporating customer feedback are key priorities for Shipt's product organization.

Elevate the role of analytics in your company

petr@substack • 1 implied HN point • 13 Feb 24
💼 Business Analytics Data Companies Leadership Technology
  1. Many companies need to take analytics seriously, as analytics teams are often seen as second-class citizens, stuck in a negative spiral of underappreciation and lack of trust.
  2. To elevate the role of analytics in a company, data needs to be deployed into business-critical processes, creating a more impactful and essential role for analytics teams within the organization.
  3. Success in making data critical involves finding champions within the company, prioritizing technology quality, and incrementally increasing the criticality of data use cases, moving away from dashboards towards actionable workflows.

Chasing highs that hurt your product

Product Managers at Work • 6 implied HN points • 19 Jun 23
💼 Business Product Management Analytics Team Management Execution Prioritization
  1. Jumping into implementation without sufficient customer discovery can hurt product success.
  2. Focusing on firefighting and feature development without data analytics can be detrimental to the product.
  3. Constantly pinging team members about updates may not be an efficient way to drive execution; creating efficient systems is key.

Turnaround #2

Turnaround • 98 implied HN points • 29 Jul 19
🎨 Art & Illustration Storytelling Writing Tools Analytics Editing
  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.

Mastering the B2B Analytics Stack from Founding to Growth stage: A Comprehensive Guide

nonamevc • 6 HN points • 22 Mar 23
🕹 Technology Analytics SaaS CRM Data Warehousing Business Intelligence
  1. Consider the timing and readiness of your organization before implementing new tools in the B2B analytics stack.
  2. In the founding stage, focus on qualitative data, understanding customer needs, and building a customer profile.
  3. During the growth stage, invest in sophisticated analytics tools, like data warehouses and experimentation platforms, to effectively manage growing data.

Generating 10k+ sessions/month with programmatic SEO

thedevmarketer • 1 HN point • 12 Jun 23
🕹 Technology SEO Marketing Development Analytics Database
  1. Generated 10k+ sessions/month with programmatic SEO by focusing on long-tail keywords and relevancy to the product.
  2. Used a proof of concept (POC) to test the SEO project before fully developing it, ensuring viability and success.
  3. Successfully launched the programmatic SEO project leading to over 12,000 sessions in four months, showcasing significant growth.

NeuralNextG v0.1.0: Analyzing Rocket League Games automatically with Machine Learning

joeydotcomputer’s Substack • 1 HN point • 19 Feb 23
🕹 Technology Machine Learning Data Analysis Gaming Analytics Software Development
  1. The project analyzed 200,000 Rocket League games with a neural network to predict scoring probabilities.
  2. The tool NeuralNextG can provide analysis frame-by-frame and aims to expand into coaching, scouting, win probabilities, and detecting smurfs/bots.
  3. The potential business model suggests integrating analytics tools like NeuralNextG into free-to-play games for users to pay for personalized data services.

What is the NFT Lore Layer?

skry • 0 implied HN points • 30 Mar 23
🔮 Crypto NFTs Web3 Gaming Community Analytics
  1. The NFT Lore Layer consists of on-chain assets, storytelling, and a sub-community.
  2. Lore Layer projects redefine the concept of a 'platform' in Web3 by leveraging existing communities without being tied to a specific platform.
  3. Advances in gaming technology are enabling the integration of gaming, storytelling, and community building in the Lore Layer framework.