4) Analysis - Deepstash
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4) Analysis

4) Analysis

During the final stage of the Discovery Cycle, systematic evidence is gathered, data are categorized, naming is assigned, data analysis is completed, and hypotheses are proposed.

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1) Observation stage

1) Observation stage

Investigate anomalies, paradoxes, peripheral developments, and direct experiences to determine how the world is changing.

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3) Conversation

3) Conversation

Innovation is driven by people, so it is best to use contrasting views, set an agenda, frame the issues, and generate hypotheses at this stage.

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2) Reflection

2) Reflection

This stage is best approached by zooming in and out, using a muse, suspending judgment, slowing down, identifying what's missing, and restructuring data to simplify patterns.

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The Essentials of Innovation

The Essentials of Innovation

Innovation is difficult for well-established companies.

Innovation is a complex, enterprise-wide undertaking that necessitates a set of cross-cutting techniques and procedures to structure, coordinate and promote it.

There is no proven formula for success, but if businesses internali...

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Discovery Cycle Evaluating Innovation

Discovery Cycle Evaluating Innovation

A vital prerequisite for innovation is discovery - making things known or visible.

Discovering profitable and scalable ideas is the goal of the Discovery Cycle.

ORCA summarizes...

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CURATED FROM

IDEAS CURATED BY

weeklyconcepts

Management concepts explained like tweets.

There is no proven formula for success, but if businesses comprehend and implement these basics, they, too, may rekindle the spark of innovation.

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Project management & Financial analysis

Project management: Project managers oversee projects from start to finish, ensuring that they are completed on time, within budget, and to the required quality standards. They are in high demand in a variety of industries.

Financial analysis: Financial an...

9. Big Data Analyst

9. Big Data Analyst

  • analysis of large amounts of data
  • in their daily work, must primarily deal with various data sources and formats, integrate or match them if necessary, and use various analysis methods to uncover causal relationships in the data
  • completed IT-related degree or a corresponding ...

Mapping Information

In many situations, secondary sources are a better fit to comprehend and understand basic facts, and they are better mapped and systematic in nature.

Primary data is best collected by actual field research, content analysis, surveys and real-time experiments.

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