The hottest Data Monetization Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Web Scraping Club 78 implied HN points 08 Feb 24
  1. Data Boutique is a marketplace for legally obtained web-scraped data with a focus on quality and easy accessibility.
  2. Sellers on Data Boutique align interests with the platform by offering affordable, high-quality data which encourages more purchases and recurring buyers.
  3. Ensuring data quality on Data Boutique involves embedded checks and a Peer Review program, promoting stackable standard data schemas for wider use cases.
astrodata 19 implied HN points 07 Feb 24
  1. Benchmarking is a useful way to monetize existing data, leading to new revenue streams and improved product fidelity.
  2. Case studies demonstrate different applications of benchmarking like offering scouting services for esports, providing real estate market data, and offering eCommerce performance insights.
  3. Implementing benchmarking as a data monetization strategy starts with understanding the value of the aggregate data you can provide to customers.
astrodata 19 implied HN points 25 Jan 24
  1. When designing a data delivery layer, focus on maximizing the value customers can realize from your product by integrating data into their workflows effectively.
  2. Understand your customers' needs and workflows to choose the best data delivery options like user interfaces and machine interfaces, which can be combined for a cohesive solution.
  3. Data delivery options range from BI dashboards for insight viewing to APIs for seamless integration and data marketplaces for extending the reach of data products.
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The Data Score 19 implied HN points 31 Oct 23
  1. The key questions for the BattleFin Corporate Discovery Day focus on understanding industry landscape changes from data insights, corporate use of alternative data, and managing data monetization ethically.
  2. The event panels will address how corporations incorporate alternative data in decision-making, showcase data value for ROI, and explore competitive intelligence and supply chain optimization through data analysis.
  3. Experts will discuss harnessing human capital data, utilizing weather data for profits, unlocking first-party data value, and leveraging alternative data for competitive edges in various industries.
The Data Score 39 implied HN points 05 Jun 23
  1. Data monetization involves creating revenue streams by refining and selling accumulated data.
  2. Large Language Models (LLMs) are advanced AI models trained on vast amounts of text data for generating human-like responses in various applications.
  3. Alpha generation in finance refers to outperforming the market or generating excess returns in an investment strategy.
Let Us Face the Future 19 implied HN points 05 Apr 23
  1. Collaborative computing is shaping the future of data use and value maximization.
  2. Selling data products often means competing against non-consumption and overcoming organizational inertia.
  3. The rise of Chief Data Officers is simplifying the sales process and driving internal data sharing before external collaboration.
astrodata 0 implied HN points 30 Jan 24
  1. Embedded analytics bring data to where customers are, sparking curiosity and increasing engagement by providing data in easily interpretable ways.
  2. Themes of modern embedded analytics include leveraging headless BI tools with semantic layers for defining business logic, and ensuring data governance for reliable data access.
  3. Building embedded analytics solutions not only drives product engagement by integrating data analysis seamlessly, but also opens avenues for data monetization and fosters internal data-driven cultures within businesses.
astrodata 0 implied HN points 23 Jan 24
  1. Using a semantic layer in data monetization aids in building effective pricing strategies by translating complex data into actionable insights for all types of users.
  2. Adding a semantic layer to data increases its value by saving customers time and money, as it provides pre-packaged insights and answers to common questions.
  3. Semantic layers offer easily managed pricing tiers, allowing companies to provide different levels of data access and insights based on subscription types.