The Ledger

Curated content for
analytical business leaders

Empower your Business-Enabled Data Analytics With PAML Technologies

An intelligent enterprise is a company that understands their customers and delivers customer-specific outcomes using data and technology, like predictive analytics and machine learning (PAML). These technologies are advanced enough for standardization. We can now model common business problems at high enough levels of abstraction that they can be used as starting points for a wide variety of common challenges. With intuitive tools and the right data, business analysts can use these models to start realizing value quickly and empowers the business to achieve results.

Read More at The Digitalist by SAP >

 

Reshaping the Last Mile with Agility

The “last-mile” is increasingly becoming a key issue in the e-commerce supply chain. Many companies that struggle are focused on transportation alone, instead of managing inventory and getting the right items to the right place at the right time. The F.A.D. (Flexible transport networks, Automation and Data) model is a framework that will help retailers and logistics operators ensure their competitiveness over the last mile. By improving their performance in increasing automation, managing data and building flexibility into their networks, e-commerce companies in all markets will be able to better manage inventory and increase the efficiency of their last-mile delivery networks.

Read More at MH&L >

 

Leveraging Modeling and Analytics for a Competitive Edge

Organizations are increasingly turning to predictive analytics and modeling to help drive their businesses and execute on strategic objectives. These organizations are applying analytics in diverse functions; including financial, operational, risk management, and customer relations. There is a broad spectrum of analytical tools that business leaders can use to drive competitive advantage; including artificial intelligence, simulation modeling, and predictive analytics. To meet these objectives, organizations should build business-specific analytics and models. Unfortunately, doing this effectively is not possible without the right tool.

Read More at The Wall Street Journal >

 

Gaining Total Visibility in Today’s Supply Chain

In today’s environment of data overload, the overriding challenge companies face is quickly and effectively analyzing the data they pull in. The solution is an industrial-strength data platform that can take device data in, process it, analyze it, and feed business decisions back into processes through apps and automated actions. To gain true value from the data, all data (historical and current) must be integrated and analyzed in real-time to increase responsiveness. With real-time supply chain data, you can go a step further with predictive analytics. A solid data foundation that provides total supply chain visibility can be used to respond to supply chain events faster and even avoid problems with greater predictive power. But more importantly, it can help give you the supply chain agility required to deliver what customers want – and even seize new opportunities faster.

Read More at The Digitalist by SAP >