Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
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Frictionless Commerce
Merchant mobile payment applications represent a first step toward frictionless commerce but achieving this initial milestone has been challenging in the US.
As you read through the articles in this month’s issue, we invite you to consider the customer experience that your organization provides and what lessons our authors offer for improving CX and making it great.
Accelerating Business Architecture: Using Reference Models
This Executive Update is the second in a series that focuses on how to accelerate the development of an organization’s business architecture. It explores how to leverage reference models to further accelerate business architecture development.
Data-driven decision management is an approach to managing business that focuses on decision making that can be backed up with verifiable data.
One thing must be understood clearly for an Agile approach to be applied to a data warehouse or any other BI development: user value is not found in the application, but rather in the information availability for reporting and analysis. Next to the availability of information, the data warehouse can provide additional value to the user by providing insight into the sourcing of data and the quality of the resulting information.
Development as a Discovery Procedure
In this Executive Update, I wish to argue that, whatever one thinks of F.A. Hayek’s politics, his work has vital insights to offer those advancing Lean/Agile/DevOps ideas for software development. Here, I focus on his essay “Competition as a Discovery Procedure” and note how similar Hayek’s vision for the role of competition in the market is to the Agile understanding of the importance of the “development” part of the phrase “software development.”
The Data Value Map: Data’s Discursive Template
In this Executive Update, we present the Data Value Map (DVM), a discursive template that facilitates the development of a shared understanding around data. The template helps enable open conversations and a co-construction of understanding between the parties involved, which can promote a value-driven approach to data projects.
A key question I’ve had for some time is: how well are enterprise AI applications living up to expectations? Initial results from our ongoing survey covering the adoption and application of AI technology (based on initial responses from 105 participating organizations) provides some insight into this question.