Database Reference
In-Depth Information
Telco
In the telecommunications industry, as with any other major commodity,
organizations seek consumption details that will enable them to predict
bursts of activity and analyze patterns and to then use this information to
create valuable offerings for customers. Those offers focus on maximizing
new infrastructure development and minimizing wasted effort from
construction alliances or new ventures. These analyses attempt to define
usage patterns by looking at the types of services that people use. Those
services could include Internet, Voice over IP (VoIP), landline telephone,
and even mobile.
In consumption analysis, algorithms help us understand where and when,
from a consumption perspective, people are spending the most. Is a service/
productcostingthemmoretobewiththisparticularproviderjustbecauseof
the way that customers use it? Are they using a service/product more during
prime-time hours (which would then influence the pricing model)? These
types of models and modeling problems are common, and the solutions
explored are usually found in the big data ecosystem.
The Hadoop ecosystem also facilitates the placement of new infrastructure
in record time and with increased accuracy (another major analytic area,
although not new, in the telecommunications industry). Movement and
usage patterns (especially people using their mobile devices for data/voice)
significantly influence the placement of this new infrastructure. Tracking
users has always been a challenge because of the volume of data such
tracking produces. Now, though, all these users can be tracked based on
where they move throughout the world and where they're using services.
The infrastructure can be improved or enhanced based on these particular
usage patterns. That alone can provide a much better experience for the
customer, leading to improved customer loyalty and, as customers stay with
the same provider, a significant return on investment (ROI).
Energy
In the energy industry, common types of analysis today include survey data
information about where people consume different types of energy and
analysisofthecarbonimpact.Theseanalysesseektopredictcustomerusage
and to optimize the availability of multiple fuel types. Although the focus
of such analysis is not new (or the result of new and better tools), industry
players can complete their analysis with improved levels of accuracy based
