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Case analysis

Desk research using open sources, no expert panel.

Product and consumer

  • market scope, product/service lifecyle, related activities and markets. focus of research
  • consumer motivation and its anomalies, value to customer: what consumer pays for? why?
  • consumer time and monetary budget

Industry and providers

  • value creation/business model, production and distribution costs
  • reference players and industry structure + informal/unpaid markets, if any
  • government regulation/support, if applicable

Special topics

  • brief market/industry history
  • areas of innovation / market growth
  • role of IP/artistic/creative content
  • data sources and metrics
  • other industry-specific insights, facts, "buzzwords" (if applicable)

Expert questionnaire

  • what areas need to be discussed with experts

Sources

  • bibliography
  • statistics
  • open data
  • paid subscriptions

This file: https://gist.github.com/epogrebnyak/b0bbd19b7cce98d5f9bd2f2d1cf0edd6/edit

Automation of economic analysis

Great tools + richer data may not result in greater benefits for economic analysis, see below.

Great tools

There are new (and free!) computing and data management tools available to collect, perform, present and desseminate results of economic analysis.

These tools include:

  • machine-readbale data sources and data scappers (get data)

  • databases (store data)

  • econometrics packages and ML tools (explore dependencies)

  • visualisation tools - charts (make a chart)

  • user interfaces and dashboards (show data)

More data

There is also richer data available:

We are in an era of abundant data:
–  Society:  web,  social  networks,  mobile  networks,
government, digital archives
–  Science:  large-scale scientific experiments, biomedical
data, climate data, scientific literature
–  Business:  e-commerce, electronic trading, advertising,
personalisation

Unclear benefit

While tools are more avilable and data is abundant, there are limitations about who and how can profit by using them:

  1. Unclear business case: how a user benefits from automated economic analysis is not clear (uncertain end-user goals, actionable results and profits).

  2. Automating low frequency data is not productive and macroeconomic data is low frequency.

  3. Available raw data is quite rotten.

  4. Human eye and discretion are unavoidable.

  5. Cultural divide.

Appendix

Areas of economic analysis

  • macroeconomic analysis

  • regional data

  • corporate reports

  • bank reports

Tasks in macroeconomic analysis

  • seasonal adjustment - what is a trend ib variable evolution?

  • nowcasting - where are we now in economic cycle?

  • forecasting for business planning

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