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@hackernoon
hackernoon.com > the-strategic-shift-moving-from-a-reporting-system-to-a-decision-system

The Strategic Shift: Moving from a Reporting System to a Decision System | HackerNoon

2+ day, 13+ hour ago   (1605+ words) The success of a business intelligence project is typically measured against the wrong set of criteria: Such criteria are relevant but insufficient, because there is a key question left unanswered: has the platform helped someone to make a better decision?...

@hackernoon
hackernoon.com > how-to-choose-the-right-reporting-architecture-for-a-net-application

How to Choose the Right Reporting Architecture for a.NET Application | HackerNoon

4+ day, 3+ hour ago   (762+ words) The problem is not the work itself. The problem is that “reporting” is one word for several very different jobs. In practice, teams often mean one of three categories: embedded reporting, document automation, or analytics platforms. Each comes with different…...

@hackernoon
hackernoon.com > building-gdpr-friendly-pageview-tracking-without-javascript

Building GDPR-Friendly Pageview Tracking Without JavaScript

4+ day, 13+ hour ago   (817+ words) What was initially designed as a quick feature to my personal portfolio grew up into quite a robust standalone solution for tracking anonymous pageview data while introducing zero JS to the client-side application for a whopping $0 per month. As the…...

@hackernoon
hackernoon.com > pinboard-a-free-self-hosted-apm-dashboard-that-refused-to-die

Pinboard: A Free, Self-Hosted APM Dashboard That Refused to Die

5+ day, 8+ hour ago   (442+ words) Every ops team has infrastructure monitoring — CPU, disk, load average, ping. Ours (Zabbix) has served faithfully for years. But when a client calls saying "the site got slow after lunch," infrastructure graphs give you a shrug: CPU is fine, memory…...

@hackernoon
hackernoon.com > your-dashboards-are-production-systems-start-monitoring-them-like-one

Your Dashboards Are Production Systems. Start Monitoring Them Like One.

6+ day, 9+ hour ago   (1214+ words) Modern organizations invest heavily in monitoring infrastructure, data pipelines, cloud platforms, and data quality. Yet the dashboards that drive business decisions often operate with little operational visibility. As analytics platforms become the foundation for enterprise AI, it's time to extend…...

@hackernoon
hackernoon.com > the-hidden-work-behind-every-dashboard-why-enterprise-data-validation-takes-longer-than-you-think

The Hidden Work Behind Every Dashboard: Why Enterprise Data Validation Takes Longer Than You Think | HackerNoon

1+ week, 1+ day ago   (818+ words) "The report looks fine." It's a sentence business users say every day. A dashboard loads successfully. Numbers appear where they're supposed to. Charts look normal. Everything seems ready for decision-making. What most people never see is the work that happened…...

@hackernoon
hackernoon.com > from-chatbots-to-ai-workflows-the-next-step-in-enterprise-genai

From Chatbots to AI Workflows: The Next Step in Enterprise GenAI

1+ week, 5+ day ago   (884+ words) The first wave of enterprise generative AI was obsessed with chatbots. That made sense. A chat window is familiar. It is easy to demo. It gives teams a fast way to show that a large language model can answer questions,…...

@hackernoon
hackernoon.com > oltp-vs-olap-why-your-app-database-isnt-built-for-analytics

OLTP vs OLAP: Why Your App Database Isn't Built for Analytics | HackerNoon

2+ week, 6+ day ago   (825+ words) Most engineers start their journey with PostgreSQL or a similar relational database. These systems handle everyday tasks exceptionally well: storing users, orders, and settings. But when the business starts asking questions - "How many orders did we have last quarter?", "Which…...

@hackernoon
hackernoon.com > scaling-self-service-analytics-in-regulated-banking-with-metadata-driven-design

Scaling Self-Service Analytics in Regulated Banking With Metadata-Driven Design | HackerNoon

1+ mon, 4+ day ago   (671+ words) Self-service analytics in banking is not primarily a technology challenge. It's a governance challenge. This article explores the design of a metadata-driven analytics platform on GCP that enabled business teams to access trusted financial data without creating new silos. Key…...

@hackernoon
hackernoon.com > time-series-databases-at-scale-choosing-the-right-store-before-cardinality-breaks-you

Time-Series Databases at Scale: Choosing the Right Store Before Cardinality Breaks You | HackerNoon

1+ mon, 4+ day ago   (100+ words) Time-series databases are optimized for high-ingestion, append-heavy workloads such as metrics, telemetry, IoT, and observability—but they are not the answer to every table with timestamps. The real decision is whether teams mostly ask “what changed over time?” Success depends…...