This blog post was co-authored by Stephen Fishman, Regional Vice President – Customer Success Strategy & Architecture.
At MuleSoft we are enabling enterprises across industries in their digital business transformation journey. Our typical approach consists of understanding the current enterprise context, where they are in their transformation journey. In identifying what use cases and business value are being driven through MuleSoft, we can help enterprises:
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If you’re a relatively new MuleSoft customer — you may be wondering how to assess the value of your recently implemented platform. How can you show that Anypoint Platform is paving the way toward innovation in your organization? Can you take a snapshot of what’s been built so far and project your organization’s pace to achieve digitalization? The first step to answering these questions is establishing a set of KPIs and measuring their progress over time.
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In part one of this post, we broke down the decision-making process for running a data-driven organization in an attempt to understand how KPIs can be weaponized in the wrong hands. Once the fundamental forces of how data influences perception are understood, the next step is to understand how these forces can shape the decision-making process in your organization to act as friction-reducing agents that can propel your organization into next-level decision making speed.
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Some problems are “oak tree problems” and being a data-driven enterprise is one of them. An oak tree problem is one that is characterized by the need to have started working on the problem quite a way back in the past while also being specifically relevant today. The Chinese proverb “The best time to plant an oak tree was 20 years ago. The second best time is today.” describes this idea to perfection.
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