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With the arrival of "Bing" the activity and results of searching on the web
are now different. "Bing", which is based on natural language and
discourse provides a new way of both searching for and presenting data
and information on websites. We help organisations understand how to
leverage this.
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Increasingly, both B2C and B2B prospects and customers are willing to engage
via chat on the web. Their expectations are for real time, knowledgable
service and support, that the organisation knows them and their
circumstances through a rich CRM, and for a seamless end to end
experience in the buying and/or support process. Semantics,
natural language processing, data analytics and workflow, all combine
here to create satisfying profitable customer relationships.
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Forget long winded, expensive data warehousing and integration projects.
Semantic technologies allow for data from different sources "to
interact" in a much shorter and less costlier way. The gap in achieving
this is simply new programming skillsets and a new mindset for
approaching technology projects.
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Today
it's all about the data, whether that data sits within, or outside of,
the organisation. The ability to make sense of the data, then act in
new profitable ways, is key. Strategy, marketing and technology
are all interlinekd to create a powerful framework for customer
management.
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For the past four years we have been undertaking research into semantic
technologies with Fuji Xerox Australia and RMIT University funded
through an Australian Research Council (ARC) Linkage Grant. This
research has resulted in case studies, white papers and presentation
materials together with the development of pilot and prototype
solutions which have been implemented in a number of
environments. Further information on the research will be
available on this website soon.
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Together with our research partners we have been awarded a second Australian
Research Council (ARC) Linkage Grant to further our work in semantic
technologies. This grant will apply semantics to the challenge of
sustainability reporting.
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Multiple customer databases and information sources? Not a problem with
semantics. Achieve data outcomes with semantics, which previously were
too hard or too costly, or both.
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Going beyond "data matching", data cleansing is able to make intelligent
decisions about data based on multiple criteria, not simply whether or
not a name looks similar. Once clean, keep your data up to date
with real time feeds instead of costly, timely bulk uploads.
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