In this highly volatile world risk is ever-present, and because we are more interconnected and interdependent than ever before, the impact of getting risk wrong is more severe. To navigate new digital risks we need to uncover "shadows, ghosts and incentives" that bias, skew and influence our ability to understand and make data-led choices, decisions and judgements.
Multiple layers of backstories sustain every data point with contextual narrative informed by stylized theoretical assumptions, observational contingencies, and historical conditionalities. Data is entangled with informationally rich contexts, and without grasping this dynamic contextual information, the data are of diminished value, if not meaningless. Restated, the abstraction of data, the effort to make data “objective” and susceptible to computational analysis, involves the stripping away of context and is, thus, destructive of information, and value.
Conventionally, this contextual information is systematically removed by ignorance of its value or to achieve "scientific" precision. We remove context to edit out noise, and to reveal the interplay of discrete, measurable variables. This is of course foundational to the scientific authority of the social and behavioral sciences, but it comes at a “cost” insofar as it actively restricts or erases what might constitute dynamic configurations of contextual and emergent knowledge and highlight new risk. This reduction to a single variable or backstory removes the contextual narrative and our ability to make decisions.
We continually justify the same actions and outcomes as we cannot see where the removal happens. We define "good data" when it has contextual narrative and rich information on how and what the data was collected for and to prove what hypothesis. Conversly "bad data" has no contextual narrative. Wrong or data with errors is more obvious.
digital20 has created new frameworks to prepare you for decision making in the face of uncertainty, risk and complexity.
digital20 helps you identify "good data" so that you can see around the corner. We will enable you to deliver Positive Impact: create Better Outcomes: Lower Liability and Make a Sustainable eco-system.
Professionals with different skills and experiences make up leadership teams. We must work together as the data, with context, we need to make complex choices, decisions, and judgment rests in us as a team and our eco-system, not as individuals or silos. Digtal20 will support you, and your team, by providing the knowledge, expertise and frameworks to make better decisions.
unpacking models and frameworks that reinforce biases, creates gaps and increases risk
For convenience, and to enable us to understand, we divide our environment into components, silos, parts or fractions: physics, biology, geology, chemistry, astronomy, psychology, and so on. However, our environment does not recognise our classifications, it is one. We utilise separation to understand our messy, highly interdependent complex adaptive systems.
In the same way, our companies and their eco-systems act as a whole. Whilst the market is viewed through the lens of competitors, we don't recognise the separate business functions of marketing, finance, operations, technology and people.
Boards are made up of professionals with different skills and experiences and it is critical that we work together, as the information we need to make complex judgement rests in us as a team and our eco-system; and not as individuals or silos.
