STORIES & SOLUTIONS FOR THE MODERN BUSINESS USER

Whether or not you realize it, we rely on geospatial data analysis every single day in our modern world. Geospatial data analysis involves collecting, combining, and visualizing various data sets that represent people, places, and things on Earth. On any given day, you might use GPS to meet your friend at a new restaurant in town or search for a healthcare provider near your home. Geospatial analysis enables our day-to-day lives to run seamlessly. Accordingly, it’s become more important than ever for organizations to leverage geospatial analysis for data analytics and business intelligence needs.

The Tableau best practices checklist is designed to provide developers with key questions to ask when designing a dashboard. The checklist serves as a resource for designers before, during, and after the dashboard is built. The components of the checklist ensure that the dashboard is following Tableau best practice standards and best-serves the desired audience. This checklist is intended to make you aware of the things to consider.

Police departments across the country are modernizing technology to make processes more efficient, reduce manual errors, and increase transparency. While crime is down nationally, it can be different at the state or county level. Between burglaries, robberies, grand larcenies, assault, and property crime, there is a lot of data to sift through. Using data and analytics, law enforcement leaders can get a better grasp of what is happening inside their communities and make data-informed decisions, better allocate resources, and reduce manual processes and errors. Here are four ways data and analytics are enabling police departments to add more precision to policing.

The month before the birth of my first child, a coworker shared a tweet with me where a couple leveraged Glow Baby app data to visualize the paternity leave experience in an augmented reality software. The Tableau nerd in me couldn’t resist, and I set out to collect and visualize my own paternity leave data in my preferred software, Tableau. 

Music has many benefits – from improving memory to reducing depression and stress. Why not let it benefit your digital transformation efforts? We wrapped up the top hits and best practices to guide your ERP implementation project to top the charts.

Change management is our business.

When deploying Workday, one of the biggest churns of the entire project can be the data conversion process to migrate data from legacy systems into Workday. Organizations across industries have legacy data in a variety of unique sources and formats, and much of that data will need to be imported to Workday-specific templates that often require complex, non-traditional manipulation and formatting of the data in order to be loaded into Workday. A Workday data conversion that leverages Alteryx can reduce data conversion project timelines, improve data quality, mitigate manual errors, automate conversion workflows, improve efficiency and ultimately improve the experience of the data conversion workstream.

You may be wondering, “what do dolphins and whales have to do with data and analytics?” Academic David Feeny first made the comparison between dolphins and whales with business by explaining that dolphins surface frequently to take short breaths and maintain contact with the rest of the pod. Whales on the other hand stay submerged for longer, meaning when they need to take a breath it takes more effort and is longer. Dolphins, not whales, set the example for sustaining change.

The American Rescue Plan Act (ARPA) was signed into law a year ago on March 11, 2021. The plan, which includes $350 billion dollars in emergency funding, is dedicated to mitigating pandemic impacts for state, local, territorial, and Tribal governments. While now a year old, there is still funding available and recipients still have until December 31, 2024, to assign funds and until December 31, 2026, to spend them.

The ability to match data that is similar but not exactly the same can improve data quality, usability, and accuracy. With the fuzzy matching algorithm, it can happen fast.