Today’s IT data investment dollars are often funneled into the creation of new advanced analytics capabilities: big data integration, machine learning, and data science solutions. In this blog, Stephen Galloway explains why these initiatives will fail unless the challenge of data accessibility is addressed alongside these complementary initiatives.
With marketplaces rapidly evolving, the data required to support decision making processes are changing at an equally breakneck pace. Is your technology delivery pipeline equipped to support the data demands of your business stakeholders? In this blog, Stephen Galloway explores how to overcome the disconnect between an organization’s data strategy and the tactical delivery capabilities that support it.
For a long time, I thought being a consultant meant traveling every week. Period. The road warrior lifestyle of weeks away from family and living out of a suitcase was a necessary evil within the consulting profession that demanded such personal sacrifice in effort to best serve our clients. It was not until I discovered SEI that I realized there’s a different way.
In 2015, your customers demand an intuitive and seamless digital experience. How can you ensure that you deliver against this expectation? Consider the following scenario: Your firm creates a new digital product that is expected to dramatically enhance both its user and customer experiences. Everyone acknowledges the product will be a game changer. The development team works day and night to ensure it meets product delivery milestones dates. The product manager actively markets to and engages her customer base, fostering the expectation that this new product will be life altering. The big day comes when the product is launched to great fanfare and perceived success. At this point you may be asking why I say “perceived success”. I’ll answer that question with another question: what actually defines success for this product?
In Part 1 of this series, we talked about the first step in establishing an analytics capability within your organization – building a team with the appropriate skillset and effective leadership to provide a solid analytical foundation. The next steps involve identifying opportunities where this team would be most effective and ensuring processes are in place to extract and communicate analytical value. We suggest applying a concept that drives our approach to client engagements: identify and act on “Why” the organization is trying to solve the problem.