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.
Insight
This Executive Update, Part II in a three-part series, discusses approaches to implementing service-oriented architecture (SOA) standards and specifications used for enforcing WS-Security.
The purpose of this Update is to provide guidance and recommendations for securing the SOA infrastructure and further elaborates on the security concepts and standards discussed in Part I (Vol. 11, No. 4).
Is there a more structured way of introducing or managing a BI initiative, which cannot only meet the current enterprise needs at various levels but can also sustain the future BI initiatives, in a scalable, standardized, and integrated manner? The answer to this lies in a simple pre-BI initiative: a BI consulting exercise. This exercise is the best opportunity for an organization to assess its BI readiness and also to take itself to the higher levels of the BI maturity model. This Executive Update examines such an exercise.
Awhile back, Cutter Senior Consultant Mike Rosen and I wrote an Executive Report (see "Enterprise Architecture: It's Not Just for IT Anymore," Vol. 9, No.
Mainstream, centralized business intelligence (BI) efforts can be overly expensive and slow to respond to rapidly evolving business requirements. These deficiencies have led to poorly served and unsatisfied users. However, serious negative consequences would result from the complete abandonment of central, integrated control of an enterprise data warehouse (EDW) and BI. We need to throw out the bureaucratic bathwater yet still keep the "EDW baby," and the best way to do that is to apply agile techniques and philosophies.