Lading Analytics welcomes O’Neill Logistics

Lading Analytics welcomes O’Neill Logistics as a new client.

From its website “O'Neill Logistics, the 3PL with a true consulting division, was established to help you operate your global and domestic supply chain more efficiently. With the goal of maintaining long-term customer relationships and providing unsurpassed service, our experienced and diverse management team is focused on one thing – Excellence. As a result of a worldwide, integrated technology platform and multiple gateways, we deliver a more visible and accessible world.”

O’Neill Logistics has offices across the US.

Lading Analytics will lead the effort of expanding O’Neill Logistics’ QlikView platform to better serve the company’s operational, sales, and financial needs. Additionally, Lading Analytics will design and develop an automated reporting tool for better dashboard distribution.

To learn more about Lading Analytics or our Platform Management services, please email us at info@ladinganalytics.com

10 Dashboard tips when designing for mobile devices

While you may be able to use multiple tables and charts to tell a story on a computer screen, creating reports that your employees and customers can view on their smartphone or tablet is about singular focus and legibility.

Here are ten tips to design better mobile-friendly reports:

1. Use landscape orientation - Landscape orientation provides the best aspect ratio for viewing reports.
2. Minimize filter options - Filters compete with screen space.
3. Minimize dimensions - The more ways you measure data, the more cluttered your screen is.
4. Write clear, succinct table headers - Headers that fill the screen or are too nondescript are equally bad. Be wary of wrapped text.
5. Have only one table or chart viewable at a time - Multiple tables on a screen reduce the size of each and impacts legibility.
6. Save deeper analysis for the computer - A bigger screen is waiting for your user somewhere; allow the user to leverage it.
7. Control the legend - A bar or line chart with more than 5 entries in its legend loses its value.
8. Prioritize reporting over causality - Focus on presenting data over helping the user make cause and effect connections.
9. Include a dashboard summary - Providing the user with an indication of what they are looking at, where the data came from, and why it is important will improve comprehension.
10. Include contact information - Give your users someone to reach out to if they have any questions on the table or chart.

Have a tip? Share it with us at info@ladinganalytics.com