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.

Subscribe to the Technology Advisor

Recently Published

The most common agile challenges and usage in the context of business analysis (BA) work are as follows:

We commonly define enterprise architecture as either a discipline, process, or thing. But which is it, and does it matter?

I've been talking with the folks from Cirro -- a new startup that has just launched its Big Data enterprise access and exploration solution.

Part II of this two-part Executive Report series on agile business analysis (ABA) focuses on the crucial issues relating to organizational adoption. This report targets senior decision makers who may not necessarily be hands-on business analysts, but who have the organizational-wide responsibility for ABA competencies. Going beyond project-level application, the report discusses business analysis (BA) frameworks, BA centers of excellence (CoEs), quality, and related metrics.

Business stakeholders are far more interested in business agility than they would ever be in software (or project-level) agility. The issues and challenges associated with the organizational adoption of agility, together with the deployment of business analysis (BA) competencies across an entire organization, require separate and dedicated attention.

Sometimes technology trends are hard to anticipate or understand. The topic of this Advisor is neither; it's just somewhat misunderstood. While this Advisor covers data analytics, it's not really about the "Big Data" that has been much discussed in recent months -- it's about even bigger data.

In my last Advisor ("Predictability, Reliability, Serendipity"), I highlighted the role of serendipity in value realization, as follows:

This week I was speaking at a cloud conference and not surprisingly there were a lot of sessions about Internet as a service (IaaS) platforms, software as a service (SaaS), elasticity, cost savings, mobility, social media, and more of the