Your supply chain analytics go a long way toward optimizing your company’s global supply chain. Still, you need a sophisticated digital model to tap the correct data from Internet of Things (IoT) sensors, the Internet, retail and e-commerce register receipts and the growing Metaverse. With this analytical model constructed, you can leverage a proactive approach using predictive analytics.
Nothing in recent history has exerted a greater influence on business change than COVID-19. The pandemic forced all types of businesses to embrace new ways of doing business, ultimately driving greater innovation and creating a new, thriving economy.
Adopting a lean strategy can seem intimidating, but you can easily create a successful company using lean methodology. Initially developed by Eric Ries, the three-step lean method for startups uses iterative product testing plus integrates early adopter feedback to choose product features and functions with the goal of reaching a larger market. Using lean tools can help eliminate constraints, roadblocks, and waste that may impede progress.
Creating a business that succeeds involves fostering a decision-making process that enables the organization to make solution-centric decisions. It’s a move away from a hierarchal process to one that places decision-making in the trenches of the day-to-day work, creates an organizational structure that eliminates information silos and shares decision-making with the most experienced, informed employees. How do you do this?
As organizations grow to critical mass it is often hard to derive and sustain the types of changes that are necessary to remain competitive. The larger and more structured the organization, typically the less entrepreneurial, nimble and adaptable they are to necessary change. Inability to design, develop and/or launch new initiatives; resistance to new technology, ideas or innovations regardless of the benefit; and radical resistance to reforming past practices no matter how obsolete are clear signs that your organization may be in this state.
Starr & Associates offers enterprise-level data mining, analytics and intelligence tools. We focus on how businesses can implement strategies that reduce costs while still helping you improve efficiency. Industries served include healthcare, energy, manufacturing, telecommunications, financial services, technology and the public sector.
Today, machine learning is becoming incredibly important for businesses hoping to remain competitive. From shipping and logistics to the medical industry, machine learning is being used to improve upon products and processes. Here’s what you need to know about integrating machine learning into your organization’s infrastructure.
When most people think of ML, they imagine a team of data scientists, high overhead costs for computer hardware and timelines that stretch into quarters or a year before seeing results. But today the market is filled with automation tools and cloud-based computing power. ML, AI, and Big Data are available more than ever. It is now easier for medium to large-size businesses to start using and applying these advancements in business intelligence technology to grow and improve their business.