Page 37 - Big Data Analytics for Connected Vehicles and Smart Cities
P. 37

18	        Big	Data	Analytics	for	Connected	Vehicles	and	Smart	Cities	                	                      Questions to Be Addressed	                  19


          the technology. That’s why the concept of the project is so important within
          transportation because it’s focused, it has objectives, it has structure, and it has
          a clearly defined set of questions to be addressed. Projects can also be scheduled
          and budgeted accurately. It is not a question of avoiding the identification and
          definition of the answers and solutions. That will indeed come in Chapters 6
          and 9, which discuss how to build a data lake and the nature of analytics. As
          a starting point, Sections 2.6–2.8 explore the questions that can be addressed.
               Defining the questions also begins the thought process on another impor-
          tant aspect of the organizational framework that will support big data and ana-
          lytics within the organization. Within private sector organizations, there is typi-
          cally one or more business analyst focused on the use of data and the extraction
          of information to improve the performance of the business. Typically, this type
          of role is less prominent within transportation organizations, as their primary
          focus is on planning, designing, delivering, maintaining, and operating trans-
          portation services. While information technology plays a significant role in the
          modern transportation world, the use of data and the extraction of value from
          data is still an emerging subject. Accordingly, it is hoped that these questions
          will also start the discussion within transportation enterprises on who will be
          responsible for big data and analytics and how this role will fit within the overall
          context of the organization. In addition, questions assist us in defining what
          we are trying to achieve. Furthermore, questions can have a powerful effect by
          focusing thought and subsequent actions. For example, when my discussions
          with one client had initially focused on the virtues of big data and analytics, I
          suggested that a transportation data lake be created and that transportation data
          analytics capabilities be acquired to enable data discovery. After several minutes,
          the client asked the following question: “Can you relate all this terminology
          to performance management or active arterial management because these sub-
          jects are addressed in the current work program and are eligible for funding?”
          This not only illustrates the power of a question, it also highlights the fact that
          concepts, no matter how good they are, must fit within the current needs of
          the organization and, moreover, should align with current organizational mo-
          mentum. Given that procurement cycles and planning for the implementation
          of new technologies are relatively long in the public sector, it is a good idea
          for transportation agencies to continue with ongoing initiatives. These can be
          supplemented and enhanced to achieve the same effect as a radical departure.
          Another purpose of questions is to help transportation agencies to identify a
          suitable starting point that relates to current challenges. The starting point must
          also fit exactly with organizational momentum regarding preexisting plans. In
          other words, they need to tackle previously identified business problems for
          which big data and data analytics solutions have not been considered.
               Before beginning the exploration of the 20 big questions, let’s consider
          four questions that are extremely valuable in considering transportation as a
   32   33   34   35   36   37   38   39   40   41   42