The hottest Data Analytics Substack posts right now

And their main takeaways
Category
Top Business Topics

Big Tech Platforms’ Entry into Healthcare and Education

Platform Papers • 59 implied HN points • 13 Jul 22
🕹 Technology Big Tech Data Analytics Regulations Data Privacy Healthcare
  1. Big Tech platforms like Google and Apple enter regulated industries like healthcare and education by capturing sensitive data, leading to concerns about privacy and competition.
  2. In highly regulated industries, Big Tech firms focus on data capture and analysis, offering insights that can significantly impact incumbent service providers and drive innovation.
  3. For platform strategy, success in regulated industries hinges on superior data analytics capabilities, strategies to access and use sensitive data, and balancing stakeholder interests like privacy and security.

How to Get a List of Your Active Analytics Rules for Microsoft Sentinel

Rod’s Blog • 19 implied HN points • 12 Jan 23
🕹 Technology Data Analytics Microsoft Sentinel API
  1. To get a list of active Analytics Rules in Microsoft Sentinel, use the Workspace Usage Report Workbook's Active Rules via Rest API module to download a CSV file of the results.
  2. You can also access a list of Analytics Rule templates by utilizing the Rule Templates via Rest API module.
  3. Consider exploring Twitter, LinkedIn, or subscribing to newsletters for further engagement with the topic.
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ThoughtSpot - Making Data Analytics as Simple as a Google Search

Termsheet by Attack Capital • 2 HN points • 13 Jun 23
🕹 Technology Data Analytics AI Cloud Computing Startups Artificial Intelligence
  1. ThoughtSpot aims to simplify data analytics like a Google search, providing AI-driven analytics for instant insights.
  2. Co-founded by Ajeet Singh, ThoughtSpot is valued at $4.2Bn and has raised $644 Million, backed by major VC firms.
  3. ThoughtSpot's platform allows users to easily query and analyze data, with features like live-querying, governed data models, and integrations.

10x Controlling Project Skies

10xManager • 0 implied HN points • 06 Feb 24
🕹 Technology Project management Data Analytics Software Development
  1. Visibility is crucial for effective engineering leadership, just like air traffic controllers oversee busy airspace.
  2. Gaining visibility into software development processes helps in anticipating challenges and optimizing team performance.
  3. Engineering leaders can benefit from tools that offer comprehensive visibility and insights for managing projects successfully.

Code vs. Cells

Reflective Software Engineering • 0 implied HN points • 08 Jun 23
🕹 Technology Coding Python Data Analytics Automation Problem Solving
  1. Modeling everyday problems using test-driven development with a Python tool instead of spreadsheets can lead to better results and easier adaptability.
  2. Creating simple Python tools with scripting languages can automate mundane tasks, improve problem-solving skills, and potentially lead to open-source contributions.
  3. Writing code can be enjoyable and effective in automating repetitive tasks, enhancing problem-solving abilities, and potentially growing into valuable tools for others.

Building a data-aware culture for impact investing | Invest-NL

nonamevc • 0 implied HN points • 20 Feb 24
💼 Business Investing Data Strategy Data Analytics
  1. Impact investing is crucial in addressing global challenges like poverty and climate change by transforming resource allocation for a sustainable future.
  2. One key challenge in impact investing is the lack of standardized measurements and balancing financial returns with social impact.
  3. Developing a data strategy, aligning investment philosophy with mission, and employing quantitative models are vital for successful impact investing.

Data Deep Dive: Web Mining Shows Inflections in Apparel Sector Results

The Data Score • 0 implied HN points • 27 Jul 23
💼 Business E-commerce Data Analytics Retail Marketing Risk management
  1. Monitoring price trends is crucial for understanding and analyzing competitive value and market strategies of businesses.
  2. Web-mined pricing data can provide early insights into companies' pricing strategies and their ability to execute them.
  3. Analyzing web-mined pricing data requires proper cleansing, enrichment, and interpretation, considering limitations such as data gaps and differences between online and offline prices.

Why you need to ditch dbt for SQLMesh today

Three Data Point Thursday • 0 implied HN points • 15 Jun 23
🕹 Technology Data Engineering AI Data Analytics Product Development Community Engagement
  1. Building products with LLMs is challenging and requires addressing multiple issues.
  2. PandasAI offers AI-powered features for data analysis, focusing on integrating LLMs smartly into products.
  3. Consider switching to SQLMesh from dbt, especially if you are a data engineer or data scientist needing a more developer-focused analytics tool.

Big Data and the Entertainment Industry

Joshua Gans' Newsletter • 0 implied HN points • 04 Sep 16
💼 Business Entertainment Data Analytics Digital economy Book review
  1. The book 'Streaming Sharing Stealing' by Mike Smith and Rahul Telang offers valuable lessons in the digital economy, particularly in the entertainment industry, emphasizing the importance of understanding and utilizing data properly.
  2. Entertainment executives often made critical errors due to not trusting data analytics for decision-making, relying instead on outdated assumptions and untested suppositions.
  3. Studies, like Sandra Barbosu's research, show that big data can provide valuable insights to industries like movie studios, helping them predict box office success and avoid producing movies that underperform.

Announcing the Data Plumbers Newsletter: Unlocking Insights in Data Analytics and AI

Data Plumbers • 0 implied HN points • 30 Mar 24
🕹 Technology Data Analytics AI Newsletters Trends
  1. Staying informed in data analytics and AI is crucial for all professionals, from beginners to experts.
  2. The Data Plumbers Newsletter offers cutting-edge insights, trend spotting, and tool reviews curated by industry experts.
  3. Subscribing to the Data Plumbers Newsletter can provide valuable information to empower data enthusiasts and professionals.

In-game Analytics Pipeline with Redpanda, ClickHouse, and Streamlit

Tributary Data • 0 implied HN points • 13 Mar 24
🕹 Technology Data Analytics Database Management Web Development
  1. In-game analytics provide insights into player behavior, helping developers make informed decisions to enhance gameplay experience and increase player retention.
  2. Redpanda, ClickHouse, and Streamlit form a robust analytics pipeline where Redpanda collects gameplay events, ClickHouse processes and organizes the data for analysis, and Streamlit enables visualization through a real-time leaderboard.
  3. By leveraging technologies like Apache Flink for preprocessing raw gameplay events, developers can further enhance insights into player behaviors and interactions to improve the gaming experience and retain players.

Generative AI Opportunities for Businesses 

Tributary Data • 0 implied HN points • 05 Mar 24
🕹 Technology AI Data Analytics Software Engineering Marketing Sales
  1. Generative AI can help businesses drive innovation, efficiency, and success by leveraging cutting-edge data analytics and AI technologies.
  2. Large Language Models like Agatha can provide conversational interfaces, streamlining access to company knowledge and insights, leading to enhanced productivity and decision-making for employees.
  3. Agatha enables automation of tasks, such as generating personalized emails, summarizing transcripts, and generating code snippets, helping save time, improve efficiency, and foster creativity across various departments.

Measure What Matters! Our Simple Data Stack To Understand Open Source Adoption

Sonal’s Newsletter • 0 implied HN points • 18 Apr 23
🕹 Technology Data Analytics
  1. Learn how people are discovering your product, such as through direct interactions, website traffic, and testimonials.
  2. Understand how users are using your product, like the platform they run it on, scalability, and frequency of use.
  3. Utilize a simple data stack to track open source adoption and product usage, collecting data manually to understand growth and user behavior.