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You can't burn data

Jeffrey Phillips

As the concept of digital transformation takes root, you may frequently hear comparisons between data and oil. This comparison was strong enough to lead Wired magazine to define data as the new oil in a magazine article some years ago. Both data and oil are commodities, and exist to some degree in large volumes.

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Working together to shape innovation for meaningful change

Paul Hobcraft

Shaping Innovation for a Meaningful Change Following on from my initial post, “ Our Need is to Shape Innovation Dynamically, ” this post outlines the eight value-adding points that I can help build out and deliver alongside you in different delivery modules to fit your circumstances and budgets.

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Has innovation changed over the last ten years?

Paul Hobcraft

From incremental to radical : Innovation used to be seen as an incremental process where organizations improved their existing products, services, or processes by making small changes. These changes have also influenced the way we structure, visualize, and use tools for innovation. References 1. oecd.org 2. oecd-opsi.org 3.

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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

At each gate, key criteria are assessed by a cross-functional team, which may include factors like market viability, technical feasibility, and financial projections. AI offers the ability to process vast amounts of data, identify patterns, and provide insights that are beyond the capability of human analysis.

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Turning Metrics into Dollars: How to Turn Your Analytics Data into a Real Financial Model for your Startup

Speaker: Tristan Kromer, Lean Agile Coach, Kromatic

At the very least, they need to be able to see the impact of a change in retention rates to their user growth. Learn how margin of error impacts financial projections. You'll learn: How to turn basic dashboard metrics into a financial model. When to increase the complexity of your model and when to keep it simple.

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Navigating Digital Transformation: IBM Engineering Integration Hub Catalyzes Data-Driven Success

Planview

In the pursuit of successful digital transformation, many businesses have faced challenges stemming from fragmented data repositories and the implementation of multiple systems of record to accommodate evolving business demands. This is where adopting a digital toolchain integration hub becomes not just advantageous but imperative.

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3 Predictions for What’s Next in Project Portfolio Management 

Planview

You know the saying: The only constant is change. It’s true for all disciplines and describes the project portfolio management (PPM) market for several reasons. Consider these changes faced by PMOs in recent years: The call to infuse agility and become a modern PMO. Where is the PPM Market Headed?

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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How Agile Approaches Change Project, Program, and Product Measures

Speaker: Johanna Rothman, Management Consultant, Rothman Consulting Group

Before agile approaches took the world by storm, we used Gantt charts and defects to measure project and program progress. We had trouble measuring product progress until just before release—often too late to change anything. We can measure the project’s and program’s progress with a variety of product burnup charts.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". But by then, it may be too late.

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AR/VR Simulations for Sustainable, Regenerative, Circular Cities

Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor

In this session, participants will see how science data from such sources as NASA and NOAA, combined with local data inputs, can be used to both exponentially improve and accelerate net-zero carbon, climate positive and regenerative outcomes.