Discovery Driven Planning – A Different & Unconventional Plan
Discovery-Driven Planning (DDP) is a planning technique that was first published in 1995, in a Harvard Business Review article written by Rita Gunther McGrath and Ian C. MacMillan.
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Discovery-Driven Planning (DDP) is a planning technique that was first published in 1995, in a Harvard Business Review article written by Rita Gunther McGrath and Ian C. MacMillan.
Data science encompasses numerous technologies, including big data analytics and artificial intelligence (AI). Entire sectors and individual companies can depend on it for a variety of reasons.
A common disappointment among managers in regards to measuring performance is that in practice, in many cases, the key performance indicators (KPIs) monitored do not seem relevant as they are not connected to the strategy.
Most would agree that a well-planned business strategy is necessary for an organization to achieve desired business results. Business leaders in the highest-performing companies understand that, and while a detailed business strategy is necessary for successful organizational performance, it is not sufficient.
Collecting data on organizational decisions, analyzing it and checking it for accuracy will bring insights into the performance of a business, however this does not guarantee adequate decision-making.