Analytics in Motion Part 2: Executable Analytics Solution
If you can identify a useful analytics question and keep it well-scoped, your chances of an executable analytics solution go up dramatically.
Posts Tagged: analytics
How to Deliver a Data Science Project (Part 3)
Learn how to deliver a data science project to ensure your clients both understand your data insights and how they can be implemented in their work.
How to Scope Data Science Projects (Part 2)
If you’re knee deep in the data and starting to feel lost, here’s how you can scope your data science projects.
Community Outreach VS. Predictive Policing for Safer Communities
Predictive policing is being used by many municipal and federal law enforcement agencies both domestically and internationally to decrease crime. But community outreach with data-driven strategies can be more effective.
3 Types of Data Visualizations That Can Bring Your Analytics to Life
A new data visualization and analytics site from USAspending.gov showcases different ways government spending data can be presented.
A Roadmap to Evidenced-Based Decision Making
Use this four-step process to evidence-based decision making.
Moving Toward an Analytics-Driven Security Operations Model
The reality today is that adopting an analytics-driven approach to security does not require a massive investment and forklift “re-do” – rather, it can be as straightforward as rethinking the overall approach and aligning to trends in how security operations are evolving across the industry.
The Evolution of Urban Analytics
The goal of urban analytics is to help make cities safer, smarter, cleaner, healthier, equitable, sustainable and economically vibrant for all of us who live, work, play, learn and strive in them.
What You Should Know About Data Analytics
The central idea of data analytics is taking datasets or groups of information and analyzing them in a meaningful way to determine something useful in government.
Refining Value from Government Data With Machine Learning and More
Agency leaders and program management professionals must seek practical, secure, and effective methods to extract the valuable information captured in their data repositories — from legacy systems to real-time data streams.
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