Tag: speed and agility

Advanced Analytics | Analytics
Jennifer Olson 0
3 ways AI and advanced analytics help manage the energy crisis in manufacturing

The need to use less energy is becoming critical to manufacturers worldwide. The transition to a clean energy economy drives new developments in the energy sector. Manufacturers must find ways to reduce energy use to stave off growing internal production costs and remain competitive. Let’s discuss why the global energy

Advanced Analytics | Analytics | Artificial Intelligence
Albert Qian 0
How SAS and Microsoft are using the power of partners to protect data in the cloud

Humanity collectively creates 2.5 quintillion bytes of data daily, presenting incredible opportunities for organizations—especially those who collect it in the cloud. Cloud-based data offers excellent insights for organizations, including a meaningful look at customer needs and operational improvements. However, these benefits come with risks, especially regarding security. According to IBM

Advanced Analytics | Analytics | Speed and Agility
Udo Sglavo 0
From surviving to thriving: The importance of speed and agility in resilient businesses

In 2023, businesses recognize the need to be resilient. With the global disruptions we’ve faced over the last few years, and continuing disruptions and instabilities, the need for organizational resilience has never been clearer. By building resiliency, organizations can adapt to changing circumstances, maintain stability and minimize damage from unexpected events.

Analytics
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Benelux Resiliency Rules Report

The SAS Resiliency Rules report explores the global resiliency landscape. This report highlights country-specific findings about the ongoing market challenges, the difference between an importance in attaining resiliency versus perceived resiliency, and the principles companies need to follow to drive business resiliency. Our research defines resiliency as the ability of

Analytics | Innovation
Jessica Curtis 0
5 key questions to guide your connected factory strategy

Consumer goods manufacturers have faced significant challenges over the past few years due to rapidly changing demand and supply disruptions in their end-to-end supply chain. As a result, manufacturers have realized the need to strengthen their resilience and have prioritized assessing their manufacturing capacity to maximize output and automation. To

Advanced Analytics | Analytics
Jen Dunham 0
3 ways NCDOT is transforming transportation through data and analytics

With dynamically changing revenue streams, critical infrastructure needs and current higher-than-average gas prices and inflation concerns, transportation agencies around the country are using data to enable analytically driven decisions while navigating complex business challenges. Today's transportation industry is ripe with opportunities for innovation and growth. And this is especially true

Analytics | Cloud | SAS Events
Shadi Shahin 0
Your analytics, your way

Maybe you’re a SAS®9 programmer in the insurance industry who stores her analytics projects in a local desktop folder, or in a Git library. Or maybe you’re a data scientist who specializes in aviation forecasting and loves the no-code environment of SAS® Viya®. Or maybe you’re a Python devotee at

Analytics | Machine Learning
Charlie Chase 0
How life science and health care supply chains can adapt to disruption

Robert Handfield, PhD, is a distinguished professor of Supply Chain Management at North Carolina State University and Director of the Supply Chain Resource Cooperative. In an episode of the Health Pulse Podcast, Handfield gave his views regarding the challenges health care and life science companies have encountered over the past two years

Analytics
Pippa White 0
Life sciences: now is the time to embrace analytics in the cloud

Research, supply chain, manufacturing, and sales increasingly depend on partnerships in a digital ecosystem. Cloud-based analytics makes it possible to collaborate intelligently at scale. For years, life sciences companies have been justifiably cautious about moving their data science functions into the cloud. Although the industry’s central purpose is to accelerate

Advanced Analytics | Analytics
Soundarya Palanisamy 0
Decentralizing clinical trials: how COVID-19 has changed drug development

The COVID-19 pandemic brought an enormous urgency to the life sciences sector. Companies vied for suitable treatments and in less than a year, COVID-19 vaccines were developed. This demonstrated clearly that the sector could move at speed when necessary. Though vaccines were supported by regulators, inefficiencies in vaccine and drug development were exposed.