
In today’s business environment, with customer expectations changing at an unprecedented rate, more and more organizations are expanding their digital ecosystems to extend their reach to new customers and create more connected customer experiences.
Leading organizations are reshaping markets with their expanding ecosystem footprints. They are doing this by leveraging their platforms built on the foundation of API-led connectivity. APIs are the critical bridge in connecting an organization’s core competencies to new channels to better engage with customers.
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This episode’s special guest is Christine Spang, co-founder and CTO of Nylas. Nylas provides a set of communications APIs that help developers connect to email, calendar, and contacts providers. During the conversation, Christine relates the experience of founding an API product company and provides tips and lessons learned on product strategy, developer experience, and balancing product vision with user feedback.
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Enterprise chargeback (the practice of formalizing a distributed carrying cost program for shared assets) is a conundrum. It should be easy but it’s not. Group X used Y, so they should pay Z. Sounds simple right? Go ahead. Ask people who’ve attempted to create a chargeback model for a shared development platform and they’ll likely either laugh or cry. It’s not that envisioning the model that’s so fraught with peril, it’s the adoption problem. Nobody wants to do the cost accounting work.
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Every industry is facing an accelerated pace of change. If companies can’t keep up with their customer’s needs and expectations — they will soon become obsolete. Inertia is a sure way to fail. Companies need to continuously change, as their customers change.
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Integrating software is almost as old as writing software. From ETL to EAI to SOA, the software engineering industry has continually sought new integration methods to get quick access to data and functionality, avoid duplication of effort, and deal with federated ownership of applications. In the current cloud-native, highly-distributed software landscape, even the simplest mobile app is built on a complex, integrated back end. Web APIs have become ubiquitous in this landscape,
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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 the first part of this blog, we discussed how government interventions (like FATCA and GDPR) have increased complexity in your corporate data landscape (on top of an already expansive digital landscape) and explained why a traditional ‘heads-down’ data strategy typically fails.
In part two, we will explore an alternative ‘heads-up’ approach, by outlining what an operationally ‘baked-in-by-default’ risk-based data strategy looks like, and how you can realize this advantage by building an application network.
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Nestled in the North Carolina Piedmont region, the city of Winston-Salem is known for its history, picturesque surroundings, universities, and major revitalization over the past years. The county seat of Forsyth County, Winston-Salem’s metro population of over 675,000 makes it the fourth largest metro area in North Carolina.
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“McKinsey research shows bold moves to adopt digital technologies early and at scale, combined with a heavy allocation of resources against digital initiatives and M&A, correlate highly with value creation”
Digital strategy in a time of crisis, © McKinsey 2020
Imagine having to identify every customer data point in 100s of business systems, capturing all of that out-of-step from BAU operations, and then purging it from wherever it is.
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