White PaperPredictive Maintenance in Manufacturing
A recent (2018) report on the manufacturing industry saw 31% of manufacturing CEOs expecting artificial intelligence and machine learning to contribute to a reduction in operating costs. Learn how predictive maintenance helps make this reality.
Our client, a retail gas and electricity provider, operates a call center to facilitate customer requests and to offer complementary services, such as equipment maintenance.
Over 60% of the world’s global seaborne trade is shipped using intermodal freight containers, and the ports that manage them serve as central points for supply chains – over 90% of global trade is conducted through ports.
Great visualizations can make data come alive, leading to better insights and decisions. Data consumers of every kind rely on dashboards to perform their work, but they have a common complaint, slow loading times.
Palette Insight provides actionable intelligence about your Tableau deployment to help you maximize the benefits of Tableau Server.
Large enterprises acquiring companies often face challenges integrating their financial systems. Over the last several decades, our client has acquired dozens of businesses, each with its own ERP system and data warehouse solution.
Our client, a global manufacturer in the power generation industry, faced challenges with an aging reporting environment based on multiple Oracle ODS systems and reporting straight from source databases.
At the heart of data driven organizations lies the concept of data democratization: making data more accessible to everyone and making it easier to share, discuss, and act upon. Data visualization tools like Tableau help companies view, understand and leverage their data to make better decisions about their business.
As humans, we think and communicate in narratives. Numbers and visualizations help, but taken on their own, they often don’t tell the full story. A good dashboard may be useful for showing trends and conveying metrics, but it’s words that resonate with decision-makers and provide them with important context and situational awareness
Magnetic resonance imaging (MRI) artifacts, distortions or false signals that affect image quality, may adversely affect diagnostic quality, resulting in potential diagnostic errors and the need for costly and time consuming repeat examinations that may delay timely treatment. Detecting these artifacts with convolutional neural networks can save costs and improve outcomes.
Cardiac Resynchronization Therapy (CRT) can be a life-saving therapeutic option. However, the intervention itself has considerable risks, carries significant expense and its benefits to heart failure patients are limited to a small group of suitable patients, making patient selection critical. The right algorithm can determine patient selection criteria to identify patients most likely to benefit from CRT and least likely to suffer pre-operative or post-operative complications.
With Palette Trust Tableau Server administrators can communicate outage notifications, including direct communications and automated outage notifications directly on Tableau Server.