Scenario Planning is Qualitative Methods, at times combined with quantitative methods, to analyze alternative future scenarios that are largely dependent on external variables.
Business Model Design
Business Modeling Designs the interrelationships between entities in a business, their customers, consumers and vendors for projects and ventures to develop a Business Execution path. This can also include the input of the consumer to determine their reaction to alternatives that the company presents. The process is created based on Design thinking principles. Alignment of participants occurs through collaborative revelations of risk enabling Uncertainty Mitigation paths.
Dilemma Management is 21st century’s answer to 20th century’s Problem Solving approaches. It is about stepping back and looking at the problem to be solved and ask, “why does this problem exist in the first place?” To investigate the source of the problem and research potential problems will lead to longer term successful solutions. This is Dilemma Management which reduces business risk and helps build financial stability. 20th century risk in business was driven by reactionary approaches through Uncertainty Mitigation.
Amplification vs. Advocacy
The two main goals accomplished through word of mouth and viral communication and marketing are amplification and advocacy of the product or service i.e. spread the word and drive successful purchase decision, respectively.
Memory for the Future
Memory for the Future is the breakthrough in RBR’s Design Thinking based services of IZI© and XBC©. It is the joint future to which the consumer, the user of the product/service, and the creators of it, align and commit to Dilemma Management driven solutions. The method leverages Scenario Planning leading to Business Model Design. Design a future and then look at what must be true, for that future to be realized.
Emotion vs. Sentiment Analysis
Sentiment Analysis provides a poor and binary result, i.e. positive or negative sentiment. Human Social Networks represent complex variables for Emotion Analysis. These impact an individual, to a neighborhood, to a town, to a city, to a state, to a region, to a country, and to the rest of the world. These variables impact purchase behaviors of products and services, and provide insights into global economy. The failure of sentiment gives way to an understanding that there is a large space between love and hate, fast and slow, beginning to understand and making a decision, etc. Emotion Analysis is the evolution of Sentiment Analysis realized due to the pervasive Digital Life aspects of the global consumer.
Real-Time Decision Making
Real-Time Decision Making, in a consumer social context, is enabling Digital Life to capture social signals through social channel based communications. The development and analysis of social Network Modeling, creating Smart Data and application of Business Intelligence, is opening the path to understanding the consumer at their single most important action—decisions. This value is delivered through the insight into the consumer’s thought process. Real-Time Decision Making, in the Business Execution context, Network Modeling and leveraging Business Intelligence creating knowledge to drive accuracy, is moving the needle from Predictive to Deterministic in business decisions.
Anticipatory Innovation is a key ingredient of 21st century Dilemma Management. It is an antonym to Reactionary Innovation. Insights are achieved through deep consumer or user insights achieved through Immersive & Experiential methods. Using innovation techniques as early as possible to screen and anticipate new innovations lead to results that produce a higher value. Developing a Business Model Design to allocate resources, including executives, using Crowd Sourcing techniques, is anticipatory by building a foundation for a higher valued outcome. Anticipatory Innovation method is a core pillar of RBR’s services.
Business Intelligence is integration of data using Data Analytics and Data Mining leading to useful results for an enterprise. This is especially useful in chaotic and rapidly changing scenarios. The singular purpose of Business Intelligence is to enable data to deliver knowledge that allows accuracy in decisions.