One field-tested security strategy for information systems and digital content is to address the problem through processes, people and technology. On the process front, all companies involved in the production of digital IP should, by now, be adhering to a proven information security framework that fully addresses supply chain risks. That includes making sure your digital IP is protected at all times, even during post-production (or maybe we should say especially during post-production, given recent incidents).
Fortunately, there is a ready-made cybersecurity framework that companies can use, at no charge, thanks to the US federal government, which has done some sterling work in this area, namely the NIST Cybersecurity Framework.
The current version is a great way to get a handle on your organization’s cybersecurity, and the next version, currently in draft, goes even deeper into the need to maintain cybersecurity throughout the supply chain. For that reason, the draft is worth quoting at length:
“The practice of communicating and verifying cybersecurity requirements among stakeholders is one aspect of cyber supply chain risk management (SCRM). A primary objective of cyber SCRM is to identify, assess and mitigate “products and services that may contain potentially malicious functionality, are counterfeit, or are vulnerable due to poor manufacturing and development practices within the cyber supply chain.”
Plex Systems, a developer of cloud ERP for manufacturing, has introduced two new analytic applications designed to provide manufacturers insight into supply chain performance and their workforce.
The new Supply Chain and Human Capital analytic applications build on the library of applications in the IntelliPlex Analytic Application Suite, a broad suite of cloud analytics for manufacturing organizations.
The Plex Manufacturing Cloud is designed to connect people, processes, systems and products in manufacturing enterprises. The goal is not only to streamline and automates operations, but also enable greater access to companywide data. The IntelliPlex suite of analytic applications aims to turn that data into configurable, role-based decision support dashboards–with deep drill-down and drill-across capabilities. The IntelliPlex Analytic Application Suite includes analytics for sales, order management, procurement, production and finance professionals.
IntelliPlex Supply Chain Analytic Application
The new IntelliPlex Supply Chain Analytic application provides a dashboard for managing strategic programs, such as enterprise supplier performance, inventory and materials management and customer success. Metrics include:
On-time delivery and return rates by supplier, part, material, etc.
Production backlog by part group, product time, etc.
Spend by supplier and type, including unapproved spend
Inventory turns and aging based on type, location, etc.
Materials management accuracy, adjustments and trends by type, location, etc.
On-time fill rate, customer lead time, average days to ship, fulfillment by location
Business Intelligence Emerges From Decision Support
Although there were some earlier usages, business intelligence (BI) as it’s understood today evolved from the decision support systems (DSS) used in the 1960s through the mid-1980s. Then in 1989, Howard Dresner (a former Gartner analyst) proposed “business intelligence” as an umbrella term to describe “concepts and methods to improve business decision-making by using fact-based support systems.” In fact, Mr. Dresner is often referred to as the “father of BI.” (I’m still trying to identify and locate the “mother of BI” to get the full story.)
The more modern definition provided by Wikipedia describes BI as “a set of techniques and tools for the acquisition and transformation of raw data into meaningful and useful information for business analysis purposes.” To put it more plainly, BI is mainly a set of tools or a platform focused on information delivery and typically driven by the information technology (IT) department. The term “business intelligence” is still used today, although it’s often paired with the term “business analytics,” which I’ll talk about in a minute.
Along Came Enterprise Performance Management
In the early 1990s, the term “business performance management” started to emerge and was strongly associated with the balanced scorecard methodology. The IT industry more readily embraced the concept around 2003, and this eventually morphed into the term “enterprise performance management” (EPM), which according to Gartner “is the process of monitoring performance across the enterprise with the goal of improving business performance.” The term is often used synonymously with corporate performance management (CPM), business performance management (BPM), and financial performance management (FPM).