Ten Mobile BI Strategy Questions: Technology Infrastructure

When an organization is considering implementing a mobile BI strategy, it needs to ask/consider if its current information technology (IT) and business intelligence (BI) infrastructure can support mobile BI. It must determine if there are any gaps that need to be addressed prior to going live.

When we think of an end-to-end mobile BI solution, there are several areas that can impact the user experience. I refer to them as choke points. Some of the risks associated with these choke points can be eliminated; others will have to be mitigated. Depending on the business model and how the IT organization is set up, these choke points may be dependent on the configuration of technology or they may hinge on processes that are embedded into business or IT operations. Evaluating both infrastructures for mobile BI readiness is the first step.

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Leveraging Rapid Deployment Solutions For Analytics And Beyond

Today, organizations face multifaceted problems and need to quickly realize the value of their technology solutions whether it’s for business intelligence(BI) or other technology implementations. Business challenges have become more complex and are often riddled with ambiguity that makes it harder to address using traditional methodologies in analytics and beyond.

As a result, to answer the most pressing business questions, we’re still left with an age—old problem—balancing functionality against scarce time and resources. Rapid deployment solutions (RDS) can provide an alternative method by providing an accelerated timetable and the right foundation to scale up as needed.

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Sports And Analytics: Sprint To Value And Insight

So far in the series, I have charted a course for creating value in the sports and entertainment industry through analytics. I have advocated a holistic approach to paint the full picture that goes beyond the basic game-day stats, and I have underscored the important role that fan engagement plays in shaping thefan experience.

And finally, in my last post, I touched on the design thinking methodology as a framework to embark on this journey, including the power of proof of plays that can leverage the philosophy of “Fail early and often” to design better solutions. If I were able to pique your curiosity and get you excited enough that you started asking questions, the next logical piece in this puzzle would involve the crucial step of making it happen.

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Ten Mobile BI Strategy Questions: Security

Do you have all three layers of mobile BI security covered: device, app, and data? All of the convenience and benefits of mobile devices provide a particular security risk, complicating matters for the technology managers. When we think about the three layers of security in mobile BI, each layer plays an equally important role. Moreover, each layer represents a specific component of a user’s access profile. Therefore, it’s vital not only to understand how each layer completes the security picture, but also to make sure they work in tandem.

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What Is Design Thinking?

Today’s organizations face multifaceted problems that are part of increasingly complex business models. Continued expansion of global transactions, supported by partnerships that can span large ecosystems, create both unique opportunities and unique challenges for businesses.

These challenges demand multidimensional solutions and require going beyond basic applications of current products and services. This is where design thinking comes into play. By applying this framework, organizations can not only address everyday business problems and challenges but also gain a competitive edge.

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Sports And Analytics: Insight Through Mobile Dashboards

When it comes to sports and analytics, I see two main slices of the pie: the game where it all happens and the operation that supports the organization. There is a lot written about the former; however, the latter may be overlooked because of its distance from where the action takes place.

Sure, winning the championship may make up for all other business decisions, but as I wrote in my post Fan Experience Matters, at the end of a long season, only one team gets to go home with the trophy. Therefore, I subscribe to the notion that operational excellence is as critical to the execution of the sports organization’s strategy as any game-winning move.

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Sports And Analytics: Fan Experience Matters

Let’s get something out of the way: Nothing replaces the thrill of a championship. It is the measurement that counts most in sports. But the reality is that there are, for example, 3 2teams in the NFL. And that means each year, 31 teams and their fans go home empty handed. In the absence of a championship, the fan experience is the ultimate measure of success against which a sports organization is held.

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Ten Mobile BI Strategy Questions: Executive Sponsorship

Of the ten mobile business intelligence (BI) questions I outlined in my last post, “Do we have an executive sponsor?” is the most important one because the success of a mobile BI journey depends on it more than any other. While the role of an executive sponsor is critical in all tech projects, several aspects of mobile BI technology make it easy for executive management to be involved closely and play a unique role. Moreover, although the CIO or the CTO plays a critical role in making sure the right technology is acquired or developed, the executive sponsorship from the business side provides the right level of partnership in order to run on all three cylinders of BI: insight into right data for the right role and at the right time.

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Sports And Analytics: A Holistic Approach

Last week, in the first installment of my Sports and Analytics series, I detailed how sports and entertainment organizations are similar to industries such as retail or consumer products. In this second installment, I want to expand on this point and discuss key components that are part of a more holistic approach when it comes to running a sports (teams, leagues, venues) and entertainment (media organizations such as ESPN or Golf Channel) organization that promotes data-driven decision making.

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Sports And Analytics: A Perfect Couple

Statistical analysis in sports has been around for a long time, but the topic of sports and analytics has attracted more attention in the last decade. The release in 2011 of the movie Moneyball (based on the book Moneyball: The Art of Winning an Unfair Game, by Michael Lewis, published in 2003) made the use of analytics a popular subject for public consumption.

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