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“Mobile BI, however cool it may be, it does
not reduce the need for some kind of proper
BI infrastructure – data warehousing, data
models, assuring data integration and data
quality. If you don’t have good quality in your
BI environment today, mobile BI adds nothing,”
says Bitterer.
In addition, constraints on device tracking
and security will need to be in place to avoid
privacy issues or establishing a “big brother”
mentality among users.
As adoption increases, mobile BI will evolve
with better analytics behind visualizations,
information collection through ad hoc
networks, open source data mining via R
and other programs, and more depth to data
through data marts and RDBMs. And as far
as providers, don’t expect too many of these
smaller component and aggregate mobile
providers to stay in their current position,
Bitterer says. The quick development of the
market space has left some bigger providers
flat-footed, opening up temporary niche
vendor opportunities. But Bitterer says those
bigger business intelligence providers will
either buy up the smaller providers in the next
few years, or dive into their own development,
as pulling together visualizations and mobile
capabilities “isn’t rocket science.”
“All of the big BI vendors will be able to
replicate what all of the smaller vendors have
done,” he says. ■
“To get the best
benefits from mobile
BI, organizations need
an appropriate data
model in place to bring
in that mobile user
information and enable
access to accurate reports
