The hottest Data products Substack posts right now

And their main takeaways
Category
Top Business Topics

How an acquisition fails

benn.substack • 711 implied HN points • 21 Jul 23
💼 Business Acquisitions Data products Tech industry Company strategy Market Trends
  1. Tech acquisitions can be risky due to various challenges like incompatible technology stacks and cultural differences.
  2. Strategic fit doesn't guarantee success in acquisitions, as seen in the example of Sisense buying Periscope.
  3. Future success in the modern data suite industry may depend on adapting to AI advancements and evolving customer needs.

Assessing the ROI of Data

The Data Score • 98 implied HN points • 03 Jan 24
💼 Business Data Analysis Data products
  1. Raw data is a cost; insights have value. The process of transforming raw data into insight-ready data is crucial for generating value.
  2. Assess the return on investment in data by considering how many decisions can be influenced and understanding the limitations of the data. Data that positively impacts decisions increases its value.
  3. Understand the cost of data investment, including sourcing, loading, and transforming data. Consider the ease of integrating data and the importance of insights generated over time.

Avoid "Basket Case" Data Products Through Iteration

The Data Score • 39 implied HN points • 11 Oct 23
🕹 Technology Data products User Experience
  1. In both music and data product development, iterate continuously to refine and improve the final outcome
  2. Feedback is crucial in the iterative process - share, adapt, and repeat until achieving product/market fit
  3. The final product should not be the minimum viable product; be willing to discard prototypes and embrace scalability for long-term success

Why You’re Missing The Point Of Analytics

Three Data Point Thursday • 19 implied HN points • 05 Oct 23
🕹 Technology Data Analytics Data Management Data products Data Storage
  1. Analytics and Business Intelligence are about turning data into actionable insights, not just analyzing historical data.
  2. Separating data into 'hot' and 'cold' categories can lead to cost savings and less complexity in data management.
  3. Be cautious of the term 'data product' as it can have different meanings to different people, and ensure clarity in hiring, marketing, and tool usage.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Data Contracts Book - Early Release

Data Products • 2 implied HN points • 27 Feb 24
🕹 Technology Data products Data Contracts Data Engineering Data Quality Data Governance
  1. Chad Sanderson announced an upcoming book on Data Contracts with O'Reilly, covering topics like what data contracts are, how they work, implementation, examples, and the future implications. The book will delve into Data Quality and Governance.
  2. The first two chapters of the book are available for free on the O'Reilly website. They cover the importance of data contracts and the real goals of data quality initiatives, totaling about 45 pages of content.
  3. Chad Sanderson is currently selecting technical reviewers for the book. Interested individuals can reach out to him to share their thoughts on an advance copy.

What Alt Data Should Learn from Alt Rock

The Data Score • 19 implied HN points • 14 Jul 23
💼 Business Data insights Financial Markets Product Development Data products
  1. The success of alternative rock band Nirvana in the 1990s can be seen as a tale of achieving product-market fit, blending novelty with familiarity, and capturing lightning in a bottle
  2. Just like how Nirvana and alternative rock made their way into the mainstream, alternative data companies need to craft unique, valuable products that merge novelty with familiarity to cater to a wider audience
  3. Challenges in adopting alternative data include aligning products with client needs, making data accessible, and building a narrative around data products to drive adoption and ensure impact