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Law Firm Management
Why Small Firms Need Different Analytics Than BigLaw
Law Firm Management
5 Questions Your Clio Data Can Answer (But Probably Isn't)
These 5 questions show what your data can tell you about profitability, client value, and efficiency
Executive Insights
Moving Beyond Spreadsheets
Modern businesses demand solutions that handle complex relationships, scale with growth, and provide insights
Executive Insights
One Lost Client, 10% Revenue Gone: The Pareto Risk Analysis
Revenue concentration is one of the most dangerous blind spots in business, particularly for small and mid-size companies.
Executive Insights
What's Hiding In Your Sales Data?
Buried in your sales transactions is early-warning intelligence most businesses completely miss.
Executive Insights
Stop Treating All Clients Equally: The RFM Approach to Client Service
How to design service tiers that match each segment's value and needs
Executive Insights
Are Your Metrics Lying to You? A Guide to KPIs That Actually Drive Decisions
Most businesses track 30+ metrics. Most executives use 3-5 to actually run the business.
Design Methodology
How & Why nollejCraft Was Born
I built nollejCraft because I needed it for unified data capture, embedded analytics, modular architecture, transparent ownership
Technical Recipes
How to Identify Customers at Risk of Churn
Customer churn is one of the most important metrics for subscription-based businesses, e-commerce platforms, and service providers.
Executive Insights
Why Identify At-Risk Customers?
Customer churn, the loss of customers who stop purchasing or engaging, is one of the biggest threats to recurring revenue.
Design Methodology
Content Management Without The Complexity
nollejCraft emerged from solving a practical problem: managing technical documentation for another project.
Executive Insights
Embedding Analytics Into Culture
For executives, the ultimate challenge is ensuring that analytics become a sustainable part of organizational behavior
Executive Insights
KPIs That Actually Drive Results
The challenge isn’t data. It’s deciding which metrics truly inform decisions.
Executive Insights
From Raw Data to Actionable Insights
Executives don’t need to be data scientists, but understanding how data flows through an organization is essential to making confident, strategic decisions.
Software Development
Build Your Own CMS
What if you could build a content management system (CMS) that actually fun to use?
analysis process
5 Essential Stages of Data Analysis
We’ll explore the 5 stages in a way that’s both practical and grounded in real-world examples
analysis process
Stage 1: Data Acquisition
The challenge is which data matters, how to obtain it reliably, and how to organize it for meaningful analysis.
analysis process
Stage 2: Cleaning & Preparing Data
This article will guide you through the essential stages of cleaning and preparing data.
analysis process
Stage 3: Analysis & Modeling
Turning raw transactions into meaningful information allows businesses to make informed decisions.
analysis process
Stage 4: Presentation
Trends revealed in data become the stories that guide action.
analysis process
Stage 5: Taking Action
Once insights have been interpreted, the next step is to convert them into actionable steps.