Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Though often used during the development of a new software system to aid in analysis and planning, data flow diagrams give unparalleled insight into every instance where data is potentially vulnerable ...

A key reason why keeping data flow diagrams up-to-date is to address issues of system growth. As data volume continues to grow, so does the challenge of wrangling that data into well-formed ...

In my experience developing data and analytics rich applications, this type of testing and validation is often a second thought compared to unit, functional, performance, and security testing.

To better explain skill development in data analytics for CPAs, we first divide data analytics into four types as shown in the chart “4 Types of Data Analytics.” Data analytics is often misunderstood ...

Similar to running a marathon, your organization must be focused on the finish if it wants to be successful with analytics. This article examines the six key milestones in the data analytics ...

Play the long game. Don’t plan for audit data analytics and data visualization to be successful immediately; it takes time to build up expertise and success. Learn from failed attempts and build on ...

Data analytics tools and technology help to track and streamline processes, maintain data flow and foster scale, speed, and security. This efficiency can help reduce costs and risks and enable ...

Originally developed as a platform for an over-the-counter pregnancy test, lateral flow tests have a lot more to offer. This article dives into how a digital spin and the integration of data analytics ...

Worley & Arundo launch The Data Refinery, global hub for advanced analytics. New product, DataSeer, applies machine learning to engineering drawings.