Resources
Practical writing on data you can trust.
Guides, case studies and research from the Swift team on data foundations, BI and AI.
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Start with the foundation.
01 Articles
Longer reads on getting the numbers right.
Why Proven Data Teams Still Fail Mid-Market Leaders
A mid-market company hires experienced analysts and builds dashboards, yet leadership still does not use them. This post explains why.
6 min readApr 2026Deploying AI Analytics: 3 Dangerous Mistakes Data Leaders Make
A company deployed AI analytics before fixing its data foundation and found that half its reports had answered the wrong question for two years. This post covers three mistakes to avoid.
5 min readApr 2026Before You Add More AI, Fix This First
A strong data foundation is the step most organizations skip, and it is why most AI initiatives stall before production.
3 min readMar 2026Data Visibility for Decision Making: The Hidden Bottleneck
Organizations collect more data than ever, but without visibility into it, leaders still struggle to act quickly.
5 min readMar 2026Why Most Analytics Investments Do Not Survive Budget Scrutiny
Analytics investments rarely fail because of the wrong tools. They fail when budgets tighten and leaders must decide what earns continued funding.
3 min readJan 2026Why Moving Off Excel Creates Reporting Friction No One Expects
Moving from Excel to BI often brings heavier reporting and more questions about the numbers. This post explains why.
3 min readJan 2026Analytics Strategies Fail in Execution: The Real Reason
Most analytics strategies do not fail in the design. They fail after approval, when real decisions start depending on real data.
4 min readJan 2026Why Dashboards Break Down Under Executive Pressure
Executives stop using dashboards when pressure enters the decision process. This post explains why and what replaces them.
3 min readDec 2025Why AI Programs Stall After Early Success and How to Fix It
Many data and AI programs start with strong momentum. Then adoption slows and teams fall back to spreadsheets. This post explains why and how to fix it.
2 min readDec 2025Why The Real ROI Of AI Comes From Data Quality, Not Models
Many leaders start AI plans with the model instead of the data. This post shows where AI ROI falls apart and how data quality creates value.
4 min readDec 2025Why Most Analytics Teams Are Stuck in Reactive Mode
Most analytics teams want to work on strategy but spend their time answering small requests and fixing broken reports. This post explains why.
3 min readDec 2025The Real Reason AI Fails and How Better Governance Fixes It
AI readiness is often treated as a model problem. This post argues that the real issue is a weak data foundation and shows how governance fixes it.
3 min readNov 2025The Ultimate Blueprint for Flawless AI Mature Data Governance
Many companies invest heavily in AI models, yet these projects often stall or produce shaky results. This post sets out a blueprint for mature data governance.
4 min readNov 2025Why Your Dashboards are Causing ‘Decision Lag’ and How We Fix It
Dashboards can show everything in real time and decisions still take forever. Swift Insights calls this slow-down decision lag.
4 min readNov 2025The Five Questions Every Chief Data Officer Must Be Asking Right Now to Stay Ahead
The role of the Chief Data Officer is moving beyond governance. Here are five questions every CDO should be asking right now.
3 min readOct 2025Why Your Internal BI Team Needs a Partner to Tackle Backlog
A capable BI team can still struggle as the backlog of dashboard requests and pipeline fixes grows. This post explains how an outside partner helps.
3 min readOct 2025Top 5 Dashboard Habits That Separate Top-Performing Companies from the Rest
Many organizations build dashboards and expect them to solve decision making. This post covers five habits that separate top-performing companies.
3 min readOct 2025Enhancing Customer Retention and Lifetime Value Using Tableau Visualizations
Keeping existing customers is often more cost-effective than finding new ones. This post shows how Tableau visualizations can help you track retention and lifetime value.
4 min readSep 2024Improving Customer Conversion Through Data-Driven Insights
Customers are overwhelmed with choices. This post covers how data-driven insights can help you improve conversion.
4 min readAug 2024The Importance of Comprehensive Data Views in Healthcare
Many healthcare organizations keep data in isolated systems such as electronic health records and practice management software. This post shows how a comprehensive data view helps.
4 min readAug 2024Maximizing Marketing ROI with Tableau Visualizations
Data matters most when you can analyze it and act on it quickly. This post shows how Tableau helps you see which marketing campaigns earn the best return.
3 min readJul 2024Cheap Data, Expensive Mistakes: The True Cost of DIY Analytics Over Professional Consulting
Cost is the most common objection to hiring a data consulting firm. This post looks at the value side of that comparison.
3 min readMar 20246 Ways to Track Your Business Marketing Data
Six ways to track and improve your marketing, from website analytics to conversion funnel analysis.
2 min readFeb 2024Business Intelligence / Analytics · AI Analytics · Data Architecture
02 Guides & tutorials
Step by step, from first source to first answer.
Maximizing Cost Savings Through Cloud Resource Data Analysis with Tableau: A Guide for Business Growth Using the AWS Well-Architected Framework
Cloud costs can grow quickly if nobody watches them. This guide shows how Tableau dashboards and the AWS Well-Architected Framework can help you control them.
6 min readOct 20245 Steps to Track Sales + Key Features to Look for in Your Sales Tracking Tool
A guide to tracking sales data: why it matters, the main types of sales tracking, five steps to get started and features to look for in a tool.
4 min readMar 2024When Should I Hire a Data Analytics Firm?
Data is hailed as the new oil, but many organizations are unsure when to bring in outside help. This post lists the signs that it is time.
3 min readMar 2024Data Architecture · Business Intelligence / Analytics
03 Blog
Short notes from the work.
What Most Data Programs Got Wrong in 2025
As 2025 closes, many leaders are reviewing their data programs. This post looks at what went wrong even in a productive year.
5 min readDec 2025Tableau vs Power BI - 5 Crucial Differences for Businesses
Tableau and Power BI dominate business analytics. This post compares five differences to help you choose.
3 min readMar 2024Business Intelligence / Analytics
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