In this webinar session, powered by ESOMAR in collaboration with the University of Georgia, and Market Research Institute International (MRII), you will benefit from 3 high-impact takeaways:1. Understand how the business assesses information need and integrates different data streams;2. Mini-case studies that reveal exactly how secondary-data sources can deliver fresh new business-boosting insights and outcomes to your marketing;3. Today's key secondary-data sources, and types you can effectively leverage.
Future focus, formally and informally, is integral to strategic planning. Those firms that do it systematically well outperform competitors that do not engage it in practice. There are a number of approaches to forecasting future growth. This paper describes a process for integrating multiple data streams improving the predictive accuracy of forecasts and providing diagnostics that are richer. It additionally describes the challenges of integrating data streams that are not in the same format.
Future focus, formally and informally, is integral to strategic planning. Those firms that do it systematically well outperform competitors that do not engage it in practice. There are a number of approaches to forecasting future growth. This paper describes a process for integrating multiple data streams improving the predictive accuracy of forecasts and providing diagnostics that are richer. It additionally describes the challenges of integrating data streams that are not in the same format.
The qualitative data landscape has shifted considerably. The relevance of traditional forms of qualitative research seems to be in decline; e.g., a number of large and leading client companies are moving to reduce or eliminate focus groups. At the same time, there has been an explosion of alternative qualitative data types, such as those obtained by listening to the social media. There has also been a push to better integrate disparate forms of data to provide greater strategic impact. This integration has often itself been qualitative in nature; e.g., meta analyses and convergent validity. This presentation creates a generalizable but formal framework for the inclusion of qualitative data in a way that is likely to increase the strategic impact of qualitative data.
Big Data is a hot, but ill-defined, topic in the business world. This presentation examines some characteristics and trends in the solutions that are now available in a relatively data rich environment. Additionally, trends in the availability of data and analytic solutions suggest the potential for a 'value of information' paradigm in the future.
The qualitative data landscape has shifted considerably. The relevance of traditional forms of qualitative research seems to be in decline; e.g., a number of large and leading client companies are moving to reduce or eliminate focus groups. At the same time, there has been an explosion of alternative qualitative data types, such as those obtained by listening to the social media. There has also been a push to better integrate disparate forms of data to provide greater strategic impact. This integration has often itself been qualitative in nature; e.g., meta analyses and convergent validity. This presentation creates a generalizable but formal framework for the inclusion of qualitative data in a way that is likely to increase the strategic impact of qualitative data.
Global market strategy requires that one know which markets to enter, and when to enter. This presentation describes a case study in global and eastern European markets where markets were clustered on the basis of cultural and behavioral factors, and a predictive model created to help the firm manage its long term global market strategy.
This paper describes an approach that can be used to create a global growth strategy for consumer packaged goods. The approach uses clustering methods and regression methods to guide the strategic choices of which markets to enter, and when to enter.