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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It still amazes me how many enterprise data warehousing/business intelligence (DW/BI) projects struggle, often to the point of paralysis, with the "Inmon/Kimball" debate. This impasse revolves around whether a DW/BI program should insist upon routing all information through a complex, third normal form (3NF) data layer o

In Part I of this Executive Update series, we looked at the barriers to and possible benefits of collaboration.

It is often attractive to executives to seek and apply so-called best practices when looking for ways to improve their performance. Despite purported track records of such practices as promoted by well-meaning expert thinkers, there lay hidden pitfalls that entrap many ope

In technology architecture, it's easy to spot a wrong solution but almost impossible to design the perfect system. The primary reason for this ever-changing nature of the solution is its evolution toward staying relevant to the changing business use case.

I started to see this trend play out last year, and this year I expect it to be more popular based on the advice I have been giving some of my vendor clients.

In technology architecture, it's easy to spot a wrong solution but almost impossible to design the perfect system.

Agile adoption for data warehouse and BI is on the rise. Agile can shorten development cycle time, improve quality, and help ensure that you build the right BI solutions for business decision makers. However, conventional IT organizational structures, policies, processes, and procedures are sometimes inconsistent with the tenets of agility. Values like customer collaboration, face-to-face interaction, and continuous delivery of value are often impeded by IT organizational protocols.

Agile adoption for data warehouse and BI is on the rise. Agile can shorten development cycle time, improve quality, and help ensure that you build the right BI solutions for business decision makers.