Amba640 Data-Driven Decision-Making

Executive Summary

Operations management techniques refers to the complex set of management activities involved in planning organizing leading, and controlling an organization’s operations. These techniques; which include but not limited to data-driven decision-making, linear programming and sustainable supply chain management are tools that aid in streamlining day to day business decision making. Operations management involves many aspects of the business environment from mailing packages to work order management. Operations management techniques aid companies by identifying the best course of action to continuously improve productivity and meeting customer changing needs. Data-driven decision-making, or as it is also know, analytics; has become an essential tool as a predictor for the business environment. Companies use data in combination to predict events such as the stock market trends, hiring practices, retention and many other business operations. The data is readily available, however it takes an understanding on how to organize and present the data to make use of its benefits. Linear programming is a method used to correlate data in a mathematical way in order to produce an outcome that will provide an optimal decision. These outcomes that are produced include increasing profits, lowering cost, and transportation issues. Many companies are now using linear programming extensively to decide how to allocate assets due the increase of size and speed of computers which are used to solve complex problems, taking some of the guesswork out of the allocation of assets. Companies understand that suppliers cannot indefinitely supply needed raw materials without sustainable supply chain management. By managing and partnering with suppliers to reduce adverse environmental impacts and to enable responsible supplier growth and raise standards.

Data-driven decision-making: Howard E. Butt (H-E-B) using analytics for a number of decision models. In the maintenance...