Data and categories

If you run Foresight, it quickly becomes obvious that data and insights are absolutely crucial for this. A consideration of generally valid trends Alone would be inadequate here, as as part of Foresight also so-called signals have significant significance. Signals are indicators of upcoming changes, which often occur in the form of innovative start-up solutions, news reports, patents or research. It is therefore important to look at several categories of data as part of Foresight, to set yourself up broadly and to include as much data as possible.

AnyIdea takes into account and scouts the following categories of data:

Micro trends

Micro-trends include existing examples, use cases, and potential solutions for current and emerging topics, trends, or technologies. AnyIdea collects these micro-trends both from recognized trend and future institutes such as TrendOne from Hamburg or Trendhunter, as well as through its own research.

Characteristics
- Number of existing micro-trends and new additions (growth)
- Implemented innovations or solutions to problems
- Companies invest time and resources and see potential
- Time horizon: current
- Practice-oriented

Companies and startups

AnyIdea scouts and aggregates startups, scaleups and companies with up to 1,000 employees. Companies as a data category not only provide information about the relevance of technologies & topics, their penetration and development on the market, but also show possible cooperation partners on.

Characteristics
- Number of existing companies and new additions (growth)
- Geography: In which markets are there how many companies
- size of companies, e.g. number of employees
- Existing products and services
- Time horizon: Current
- Practice-oriented

Scientific publications

‍AnyIdeascouts and aggregates scientific publications (papers) from academic institutions and research institutions on various subject areas. Which topics have been researched and to what extent? Is this primarily past or current research? Papers are important indicators and show possible solutions related to a trend, topic, or technology.

Characteristics
- Number of existing papers and new additions (growth)
- Time horizon: Past, current, future
- Theoretically

Research projects

‍AnyIdeascouts and aggregates research projects from companies that have been approved and are being funded by national and international funding agencies.

Characteristics
- Number of existing research projects and new additions (growth)
- Institution-funded research project on topic & technology (funding per topic)
- Companies invest time and resources and see potential
- Time horizon: Past and current
- Practice-oriented

Patents

‍AnyIdeascouts and aggregates patents. Where do companies see potential and possible approaches? Where are companies strategically oriented? Which solutions are possible, may or may not be used?

Characteristics
- Number of existing patents and new ones (growth)
- Geography: In which markets are these patents valid
- Companies invest time and resources and see potential
- Time horizon: Past, current, more likely in the future
- From theoretical to practical

News

‍AnyIdeascouts and aggregates news, contributions and articles from various publishers on various topics. How consistent and consistent is reporting? What is fundamental, what are hypes or flash in the pan?

Characteristics
- Number of existing news posts and new additions (growth)
- Geography: In which markets are specific topics and technologies addressed
- Validity: frequency, continuity
- Time horizon: Current
- Theoretical, more practical

Company-specific sources

‍Atthe moment, relevant external and internal data sources are defined together in the setup process and, if possible, adopted or integrated. In the future, further individual sources can be added independently.

Consideration and calculation

At the time of viewing and calculating data, you get an initial assessment of the characteristics, classification and relevancy of signals. information on relevance, probability of occurrence and Time to Impact of technologies and topics provides the development of individual as well as the sum of relevant signals, their distribution and occurrence in the respective data categories, within a considered time horizon of, for example, 3-12 months.

Details on how to process and calculate data in terms of relevance can be found at AI and AI Prio Score.