Monday, January 11, 2021


The interdictive analytics keeps you alert about what you should avoid doing. Prevention is superior to fixing.

With high velocity and frequent disruptions, you may not be able to foresee specific instances of futures, but you can imagine general classes and positions to define the landscape with its risks and opportunities, take a broad range of perspectives, shape or mitigate what could be occurring. 

The goal of the business foresight and forecast is about predicting what will happen and step further - what shall you do upon it; the interdictive analytics keeps you alert about what you should avoid doing. Prevention is superior to fixing.

Forecasting and brainstorming scenarios for failure in the future helps everyone be clear about what you don't want to happen and what can be done to avoid it: Due to the “VUCA” (Velocity, Uncertainty, Complexity, Ambiguity) characteristics of the digital new normal, it is nevertheless true that the change itself has become unpredictable and evolutionary. Organizations have to improve its responsiveness in adaptation to high velocity. With risk and uncertainty comes a statistical probability of failure - eventually you will have a failure if you are in the business. Information plays a significant role in effective decision making and innovation catalyzing. The interdictive analysis based on quality information helps business management gain insight about upcoming risks, fierce competition or uncontrollable cost, etc, so they can overcome barriers and handle adversities more confidently.

To respond to the emergent business properties and make data more “visible” for shareholders, link information management to the multiple business domains within the enterprise and their business partners for decisions, prediction, and prevention, etc, leverage emerging properties for making reasonable adjustments. For example, the organizational resource is limited, so information empowered management can optimize its usage based on predictions and measurement, etc. Predictive Actions through interdictive analysis recommend differentiated treatments to segments, understand, prevent or mitigate risks, and improve the success rate of strategy management.

Information based prediction helps to avoid dysfunctional patterns in the organization: Nowadays business is complex, the management activities are complex as well. In many organizations, miscommunication, misinterpretation or misunderstanding is prevailing and leads to conflict and malfunction. Quality information is an invaluable asset to understand mindset and behavior, as well as avoid mismanagement patterns. In specific, to decompose complexity or deal with possible stagnation, organizational management needs to leverage effective tools such as interdictive analysis to dig into the root causes of mismanagement, manage the order from chaos, preventing the business from getting stuck at ineffective strategy management, aimless administrative bureaucracy, irrational decisions, irresponsible behavior, or change inertia caused by disconnected or distant layer of silos or inflexible management hierarchy.

In smart businesses, information can be tapped from the underlying data and be utilized to turn it into valuable strategic insight; the information can be penetrated through the business and be actively used in business decision optimization. So the business managers can embrace uncertainty and manage complexity by focusing on information adoption to ensure the right people get the right information to make the right decisions for learning lessons from the past, diagnosing dysfunctional management patterns, making continuous improvement or preventing upcoming risks, and delicately balance and re-balance the results toward urgent, but hard to predict outcomes.

Information based prediction helps to prevent risks at either strategic or operational level across ecosystem: In business, every day is a risk, there are downward risks (loss of value, money, and business) or upward risks (opportunity to make money, expand the business, and create value); there are internal risks or external risks; some risks can be quantifiable; some can only be approximated. So interdictive analysis is an effective tool to identify risks, regularity in chaos, capture trends and opportunities from uncertainty, and take risk models that effectively predict, optimize, and consider a continual and sustainable approach with multi-faceted perspectives.

Assuming the risk is highly likely to occur, corporate management needs to imagine with many experiences involved in current or in the past, apply interdictive analysis as a tool to estimate the impact of upcoming events that may happen in strategy/operation plans, and the consequences, and how to avoid unnecessary pains. Business management also needs to define organizational risk appetite and risk attitude so they know the business tolerance of their enterprise for the resulting downsides risks.

Decision makers have to leverage different variables, try to identify the parts of a system and how those parts are connected, look at things from different angles, think about how change over time has influenced the current situation, also try to identify potential unintended consequences of decisions and actions.. By leveraging effective predictive analytics, businesses can find the best way to find a balance between working on the business while doing the business, as well as between managing complex issues today and predicting the uncertain issues of tomorrow, to leap the business to the next cycle of business growth and balance.


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