Analytics/Business Intelligence

Analytics and BI-related technologies, practices, examples

Spend Analytics: Part 2 – Applications of Spend Analysis

The most common application of spend analysis is to identify potential cost savings. However, spend analytic systems can be and are used for much more than that. We explore here some of the common and novel ways that enterprises are using spend analytics.

Big Data

The data may be big, but is the information important?

Predictive Demand and Supply

If you’re in the Supply Chain business, right up there with Newton’s Law of Gravity stands Murphy’s Other Law stipulating that Demand and Supply, if left to their own devices, will always tend to diverge and get you into trouble. Here’s what to do about it.

Outcome Sourcing Part 2: Expressive Bidding™ Technology for Specifying Outcomes

One promising e-sourcing technology to support outcome sourcing is expressive bidding™. Reverse auctions evolved to allow evaluation of a broader set of requirements beyond material price, such as total landed cost, quality, lead times, supplier capabilities, and capacity. Expressive bidding takes it further, analyzing thousands of combinations of bids across many dimensions.1

Demand Management in the Second Decade – A Structured View – Part 1

Companies that excel at Demand Management know how to predict and grow demand. They effectively segment their markets and channels. They analyze demographics and capture and analyze new audiences. They use price optimization and are smart about the use of promotions. They know when and how to do consensus and collaborative planning, and are able to effectively stay ahead of their competition by sensing and discovering Demand – new markets and new customers – by using web analytics and Marketing Automation.

Single Version of the Truth

The accurate and timely sharing of strategy, planning, and execution information across the end-to-end supply chain has become critical. The elimination of trade barriers, and the move to massive outsourcing, especially to low-cost labor countries, has created globally dispersed “virtual corporations,” often with hundreds of intertwined companies involved in bringing each product to market. To survive and thrive, it appears that enterprises will have no choice but to “open the vault” and begin standardizing and sharing data. The new business reality requires synchronizing on a “single version of the truth” (SVoT) across multiple enterprises.

How Best Buy Walks the Customer-Centricity Talk

This article discusses the customer-centric approach of Best Buy, North America’s largest electronics retailer, and their success in leveraging supply chain and technology to enhance the customer experience and build a trusted brand. The article highlights Best Buy’s segmentation of customer types and their efforts to improve store-level performance through IT transformation, smart shelves, and RFID technology to provide a seamless multi-contact experience and personalized services.

Mini Report: Nothing Happens Without the Data

This article discusses the challenges faced by organizations in managing data and information within their supply chains, particularly in the context of ERP implementation and data sharing with trading partners. It emphasizes the importance of focusing on information management, adopting on-demand solutions, and collaborating with partners to improve supply chain visibility and decision-making

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