The hottest BI Tools Substack posts right now

And their main takeaways
Category
Top Technology Topics
Data Analysis Journal 687 implied HN points 08 Jan 24
  1. Becoming a data analyst or engineer through bootcamps is becoming less prevalent due to economic factors.
  2. Analytics leaders face challenges in setting boundaries and avoiding overlap with finance teams in accounting functions.
  3. Decentralized data team setups are generally more efficient, and the future may see more of this with changes in tax regulations.
Sarah's Newsletter 239 implied HN points 29 Nov 22
  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.
davidj.substack 107 implied HN points 15 Feb 23
  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.
davidj.substack 83 implied HN points 05 Apr 23
  1. Semantic layers are crucial for governance, security, accessibility, and developer experience benefits in data analytics.
  2. Standalone semantic layers offer more flexibility and serve multiple use cases compared to semantic layers built into BI tools.
  3. Different standalone semantic layer options like Cube, AtScale, dbt/MetricFlow, and Looker Modeller provide unique features and cater to varying needs in data modeling and analytics.
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