erwin Expert Blog

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a digital transformation strategy viable? Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation, we explored how business architecture and process (BP) modeling are pivotal factors in a viable...

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In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. News broke earlier this week of British Airways being fined 183 million pounds – or $228 million – by the U.K. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). While...

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At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore. This post outlines how business architecture and process modeling come together to facilitate efficient and successful digital transformation efforts. Business Process Modeling: The First Step to...

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The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. But it provides even greater value for modern enterprises where critical data exists in both structured and unstructured...

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Over the past few weeks several huge mergers and acquisitions (M&A) have been announced, including Raytheon and United Technologies, the Salesforce acquisition of Tableau and the Merck acquisition of Tilos Therapeutics. According to collated research and a Harvard Business Review report, the M&A failure rate sits between 70 and 90 percent. Additionally, McKinsey estimates that...

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Digital transformation examples can be found almost anywhere, in almost any industry. Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice. Amazon began as a disruptor to brick-and-mortar bookstores, eventually becoming one of the most obvious digital transformation examples as it went...

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Data innovation is flourishing, driven by the confluence of exploding data production, a lowered barrier to entry for big data, as well as advanced analytics, artificial intelligence and machine learning. Additionally, the ability to access and analyze all of this information has given rise to the “citizen analyst” – a business-oriented problem-solver with enough technical...

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It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. I’m not saying that enterprise architects only worry about business structure and high-level processes without regard for...

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How do organizations innovate? Taking an idea from concept to delivery requires strategic planning and the ability to execute. In the case of software development, understanding agile enterprise architecture and its relevance to DevOps is also key. DevOps, the fusion of software development and IT operations, stems from the agile development movement. In more practical...

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The only thing that’s constant for most organizations is change. Today there’s an unprecedented, rapid rate of change across all industry sectors, even those that have been historically slow to innovate like healthcare and financial services. In the past, managing ideation to the delivery of innovation was either not done or was relegated within organizational...

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