Business Intelligence

How to Align Your Data Strategy With Business Growth (Without Drowning in Dashboards)

Business Intelligence /

March 12, 2026 at 10:11 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Growth goals are usually clear: increase revenue, improve retention, expand into new markets, boost efficiency. The data strategy that’s supposed to enable those goals is often anything but clear-spread across […]

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How CTOs Should Think About Data Platform Investments (Without Betting the Company)

Consulting /

March 12, 2026 at 10:17 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Data platforms have quietly become one of the most consequential-and expensive-technology decisions a CTO can make. They shape how fast teams can ship analytics, enable AI initiatives (or stall them),

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LangGraph vs CrewAI: A Practical Guide to Choosing the Right Agent Orchestration Framework

Consulting /

March 10, 2026 at 07:36 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Agentic AI has moved quickly from “cool demo” to “real production need.” As soon as teams attempt to operationalize AI agents-multi-step reasoning, tool use, memory, retries, approvals, and collaboration between

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Why UX Matters in Data Products: Turning Data Into Decisions People Trust

Business Intelligence /

March 03, 2026 at 02:28 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Data products promise clarity: dashboards that reveal performance, analytics that spotlight opportunities, and AI features that predict what’s next. But in practice, many data products underdeliver-not because the data is

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Data Visualization Mistakes That Undermine Decision-Making (and How to Fix Them)

Business Intelligence /

March 04, 2026 at 01:09 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Data visualization is supposed to make information clearer. Yet in many organizations, charts and dashboards do the opposite: they confuse audiences, hide the “why” behind performance changes, and-worst of all-lead

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Advanced Metabase: Lesser-Known Features Data Teams Should Be Using (But Often Miss)

Business Intelligence /

March 04, 2026 at 01:16 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Metabase is widely loved for one simple reason: it helps teams get answers fast without turning every question into a ticket for engineering. Most people know the basics-building questions, creating

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How Amazon Redshift Handles Concurrency and Workload Management (WLM): A Practical Guide for Fast, Predictable Analytics

Consulting /

March 04, 2026 at 01:19 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Amazon Redshift is designed for high-performance analytics, but performance can degrade quickly when too many users and dashboards run queries at the same time. That’s where concurrency management and Workload

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BigQuery Pricing Explained (2026): How to Avoid Unexpected Costs and Keep Queries Under Control

Consulting /

March 04, 2026 at 01:20 PM | Est. read time: 9 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. BigQuery is one of the easiest ways to run fast analytics at scale-but it’s also one of the easiest platforms to overspend on if pricing fundamentals aren’t clear. Costs can

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Microsoft Fabric Data Architecture: An End-to-End Overview (From Ingestion to Insights)

Consulting /

March 04, 2026 at 01:31 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Microsoft Fabric is Microsoft’s all-in-one analytics platform designed to unify data integration, engineering, warehousing, real-time analytics, data science, and BI in a single SaaS experience. Instead of stitching together multiple

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