Database Reference
In-Depth Information
• Responses (negative and positive) and response time to advertisements
played (within specific time periods and via specific modes, such as
pop-up ads, referral links, and so on)
• Multiple social network user-population impacts/influences of your
brand
Operational Analytics
The concept of operational analytics derives from taking your normal
day-to-day operational activities in information technology and combining
them as seamlessly as possible with the technologies that are providing your
analytics solutions for your customers. A good example of this would be
a company that is automatically placing their ads on their web presence
based on click-through analysis in real time. Let's explore this more in the
following sections.
Failing Fast
Earlier in this chapter, you came across the term
failing fast
. This concept
allows you, along with the development team, to redirect your efforts based
on any constructive feedback you receive from those who are using your
solution. In existing legacy business intelligence (BI) solutions, it can
sometimes provedifficulttoretrofitasolutionbasedonregularandongoing
feedback. Within the Hadoop ecosystem, the tools provide a more
compartmentalized view of the architecture, allowing for more individual
retrofitting and adjustment. You will find this point more apparent in the
next few sections as you learn how these tools will impact your existing BI
and reporting implementations.
A New Ecosystem of Technologies
Bythispointinthebook,youcancertainly understand thatyoucanleverage
many new technologies and opportunities to do some impressive analytics
for your organization. As with any new technology, integrating these
technologies can prove challenging (but also beneficial at the same time).
The following subsections cover a few of the most common areas where
these technologies intersect.
