Remove features historical-data
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The Transformative Power of AI in Business

Tom Spencer

Moreover, sentiment analysis techniques can provide businesses with valuable insights based on customer feedback, enabling them to make data-driven improvements. Machine learning algorithms can analyze vast amounts of data to predict demand patterns, optimize inventory levels, and improve logistics.

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Little’s Law for Any Kind of Product Development: How to Learn How Long Your Work Will Take

Johanna Rothman

You can use features instead of projects, but this is the organization view.). Joanie received this data: Notice that the teams all have different start dates, durations, and predicted end dates. Let's walk through the data for Team 1. Their data is inconsistent with the other teams' data. And Team 5?

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Epicflow Updates: Hardshell Data Security and Advanced AI-Powered Functionality for Flawless Project Portfolio and Resource Management

Epicflow

It’s been a while since our last blog post about Epicflow’s latest updates , and we’ve developed a lot of new features since then. DataGuard: Leverage Our Cloud Service While Keeping Your Personal Data On Premises We’ve developed a unique data security tool that safeguards your company’s information. What is a Bubble graph?

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A Guide to Project Integration Management

Epicflow

Organizational process assets cover policies, templates, historical information and lessons learned. . A project management plan is developed on the basis of previously created project charter, project templates, historical data and lessons learned, government or industry standards. . Analyzing historical data.

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Product Planning, Information Persistence, & Product Lifetime

Johanna Rothman

Many of my clients want to create long-term plans, based on data with short validity, even for products in a high state of change. The data you need and the planning you can use will change with respect to where the product is in its lifecycle. And, you might need different data than you have. Cycle time is real historical data.

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Alternatives for Agile and Lean Roadmapping: Part 1, Think in Feature Sets

Johanna Rothman

One-quarter planning, especially across multiple teams, has these assumptions: All the feature sets have an even distribution of features. That is, feature set A has the same number of features as Feature Set B. The value of all the feature sets is similar. The arrival rate is predictable for all features.

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Project Portfolio Management in Aerospace and Defense Organizations: Main Difficulties and Ways to Overcome Them

Epicflow

Bringing the data on all resources together The resources involved in aerospace and defense projects and programs are diverse. Uniting distributed resources Epicflow brings the data on all resources together so that a resource manager can easily find it when needed, even if there are dozens of projects in the pipeline.