![]() How to conduct state of the art change management.The core tasks for redesigning a process for big performance improvemment.Using cases studies, this session will focus on the core tasks needed for success such as: finding the right sponsor, team, target, and and change management approach. This important tutorial will illuminate the path to launching and succeeding at Big Change. Until organizations find the right battering rams to knock down those feudal castles, large-scale process improvement benefits can never be achieved.īut the time has come to embrace big change.īig Change can produce Big Benefits, but it can also cause big headaches if done wrong. Their fragmentation causes huge cost and speed problems. The Operational Excellence explosion has produced a large quantity of incremental “better sameness” with diminishing returns from easy quick wins.īut our functional silos are still here. The failure rate for process projects remains around 75% and the impact of process improvement is too often internally focused, with limited benefits for customers. These are difficult times for process improvement. How to use a concept model to achieve clarity and precisionĪttendees will receive a complimentary copy of the newly released book Business Knowledge Blueprints: Enabling Your Data to Speak the Language of the Business.How business analysts can lead the way in avoiding pitfalls in data design.Why ambiguities arise in business communication and how they are resolved.How to use a concept model for standardizing business vocabulary.What a concept model is and what it can be used for.How do you create a concept model? What techniques do you need to know? This hands-on session will equip you for data design – and to engineer better business capabilities in ways you never knew possible. And they are leading the way in addressing a host of digital-era-problems – all the way from standardizing vocabulary and eliminating silos to machine learning. ![]() It requires a blueprint, which must be engineered conceptually. The issue that nags at many professionals remains how to get at the deep knowledge in business people’s heads, and lay it out for validation and reference.īusiness knowledge is more complicated – far richer – than most realize. And they are neither business-friendly nor business-analyst-friendly. Traditional data design techniques have proven inadequate to current challenges. Data is central to virtually every aspect of business, digital or otherwise.
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