#complexity reduction

2 minutes The future of content (attributes, data, and information), is a hotly contested topic among visionaries and futurists. Convincing arguments exist for both improvement and decline. Rather than focusing on that debate, this discussion will focus on what remains constant, which is how to maximize value from content regardless of its future state. Maximizing How We Benefit from…

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2 minutes There are many approaches to solving business problems. This discussion will highlight which approach delivers superior results and how Advanata makes applying it simple and practical. A Hypothesis is Essential A strong solution begins with a clear hypothesis. Without one, there is no real methodology, and the result becomes scattered observations loosely backed by…

2 minutes Anyone who has read a consulting report knows how long they can be. No one wants lengthy reports, yet they persist. Why does this happen, and is it accidental or inevitable? More importantly, how can we shorten them to benefit both customers and consultants? This article explores why consulting reports are so long and how Advanata can intelligently help to reduce their length. The…

2 minutes Solving business problems requires a solid team. Each participant brings strengths and limitations that together drive the solution. In this article, we show how Advanata can play a key role in guiding the team to a precise, optimal, and actionable solution for the customer’s business problem. Meet the Team The customer acts as team captain, supported by participants who help solve…

2 minutes Forecasting is often treated as an essential output. A common assumption is that more data leads to better forecasts, but this breaks down for phenomena driven by social behavior. Rather than forcing unreliable forecasts, we should shift our focus toward solving the underlying problem itself. Complicating factors make social behavior unstable and unreliable as a basis for…

2 minutes Pattern recognition is a powerful human capability, but it can be misleading. We routinely detect patterns that are not real, and when these are embedded in analytics, the consequences can be severe. Given enough data, patterns seem to appear everywhere, from sales projections to flu seasonality, but whether these patterns are real or illusory is often unclear. Pattern Validation A…