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Debunking observability myths – Part 6: Observability is about one part of your stack

IBM Big Data Hub

True observability requires observing and analyzing data from all layers of the system, including application metrics, traces, and infrastructure telemetry. This includes logging HTTP requests, database queries, server response times and system resource utilization. Why should observability be applicable to all parts of your stack?

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How to build a successful product development strategy

IBM Big Data Hub

This will likely involve collaboration between the product design team, project management, sales, and other departments as the business creates a detailed roadmap for how the new product will be built and deployed. Will the benefit of a product or feature improve engagement and outweigh the resources expended?

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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

A retail company experiences a sudden surge in online sales due to a viral social media campaign. By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Moreover, enterprise resource planning (ERP) software can integrate different aspects of a business into one system, providing a holistic view of operations and the metrics needed to streamline supply chain processes.

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Business process reengineering (BPR) examples

IBM Big Data Hub

The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization. This blog outlines some BPR examples that benefit from a BPM methodology. BPR involves business process redesign that challenges norms and methods within an organization.

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How much is my data product worth?

Collibra

Our team can try to answer this question by tracking estimators such as usage and consumer metrics. An essential criterion to valuing a data product is to determine if the data team’s resources were used effectively. In this blog my team shares our experiences and the steps we took to determine the value of one of our data products.

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GKN Aerospace — Journey to integrated business planning

IBM Big Data Hub

The flexibility of Planning Analytics allowed GKN Aerospace to adapt the system to the specific needs of each site while maintaining standardized approaches for key metrics and reporting at higher levels. Workforce planning ensures that resources are appropriately allocated based on project requirements.