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Examples of Data Science projects to help you leverage results

mjvinnovation

Regardless of industry or size, organizations that want to remain competitive in the era of Big Data need to develop and efficiently implement Data Science capabilities – or risk being left behind. Do you know what Data Science is? What is Data Science. How the Data Science Process Works. Check it out!

Data 52
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Fusing Human and Technology to Enable Innovation Ecosystems to Thrive

Paul Hobcraft

We must gain insights and refer through multiple information sources- digital data and direct human responses – than ever before; these insights are becoming essential to our businesses. Consider tools for communication, collaboration, data sharing, and decision-making. You need those things before technology can add any value.

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Case Study: Regional SME Development Project Brings Innovation Lift to Manufacturing Hub

Innovation 360 Group

Acknowledging the need for pursuing deeper impact over a wider area, the Growkomp Regional Development Project was designed to develop the innovation capacities of 22 manufacturing companies in the Småland regionof Sweden over a two-year period. The EU funded-development project was launched in 2016 with 8.2 million Swedish crowns.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

It consists of a series of phases (stages) where specific tasks are performed and milestones (gates) where decisions are made about whether to proceed to the next stage, halt, or redirect the project. At its core, AI is capable of not only following programmed instructions but also of making decisions based on data analysis and patterns.

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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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Working together to shape innovation for meaningful change

Paul Hobcraft

Utilize data and metrics to provide a compelling rationale for change, demonstrating the potential return on investment. Values The values gained in the skills for Building a Business Case for Change : By mastering this skill, you can make data-driven decisions that increase profitability and growth.

Change 173
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Harnessing the Power: Navigating AI-Driven Rapid Change in Business Strategy

Leapfrogging

The ability to harness data-driven insights for decision-making is now a critical competitive advantage. Rethinking Your Business Model In the era of artificial intelligence (AI), your business model must evolve to stay competitive.

Strategy 100
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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.