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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.

Data 157
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Getting Machine Learning Projects from Idea to Execution

Harvard Business Review

This article presents a six-step practice for ushering machine learning projects from conception to deployment. This disciplined approach serves both sides: It empowers business professionals and it establishes a sorely needed strategic framework for data professionals. A specialized business practice suitable for wide adoption.

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“As long as my failing project keeps going, I won’t be a failure”

Idea to Value

It was about her new book “ Quit: The Power of Knowing When to Walk Away “ , and there was one topic they spoke about which really stuck with me when thinking about innovation projects. She spoke about why people often find it so hard to walk away from or stop projects which are obviously failing.

Project 246
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4 Factors That Will Help Project Managers Fulfill AI’s Potential

Harvard Business Review

According to Gartner, 80% of project management tasks will be run by AI by 2030. Indeed, AI is transforming every aspect of work, including our management of people and projects. To truly realize AI’s full project management potential, humans will ultimately be the key.

Project 139
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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

Learn how margin of error impacts financial projections. At the very least, they need to be able to see the impact of a change in retention rates to their user growth. 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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Creating a Cohesive Team for Corporate Transformation Projects

Harvard Business Review

Hollywood films have long been made by teams of independent contractors and employees of different production companies brought together for short-term projects. Companies have embraced this model for transformations, with data showing that 45% of the people on these projects are not regular employees.

Project 139
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The Opportunities at the Intersection of AI, Sustainability, and Project Management

Harvard Business Review

There are unprecedented opportunities at the intersection of AI, project management, and sustainability. Unfortunately, without proper execution, projects to implement AI come with complexities, costs and a carbon footprint that undermine sustainability goals.

Project 136
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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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5 Early Indicators Your Embedded Analytics Will Fail

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

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The Definitive Guide to Dashboard Design

Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand.

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The Definitive Guide to Embedded Analytics

Inside you will learn: How embedded analytics has become essential to business applications When to buy an embedded analytics solution and when to build one How to go-to-market, from pricing and packaging to external promotion How to build a business case and sell the project internally The future of embedded analytics …plus so much more.

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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 can measure the project’s and program’s progress with a variety of product burnup charts. Possible measures you might use in projects and programs. Agile approaches provide us other options now.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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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. This is a panel discussion you won't want to miss!