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Current Filter: Document>>>>>> Content rich? Editorial Type: Feature Date: 11-2013 Views: 6267 Key Topics: Document Big Data Analytics Business Intelligence Opinion Key Companies: Actuate Xenos Key Products: Key Industries: | |||
| Many companies seem preoccupied with 'big data', but they will struggle to extract the real insights and opportunities buried deep within their content unless they have a practical strategy, says Actuate's Vice President of Product Marketing, Jeff Morris
If ever 'big data' was de rigeur, it is now. Almost every company seems to have a project on the go at the moment. The more that activities, information and services are digitised and turned into a business resource, the more pressure there is for organisations to do something transformative with all of this content. If they don't, there is every chance their competitors will. But even if you are collecting and studying all of this data, can you honestly say you are using it to innovate and drive your business forwards? If not, you are not alone. It is one thing to know you are sitting on something valuable in all of the information assets you are gathering, but quite another to work out what to do with it.
BIG NUMBERS To deliver something of genuine value, content must be carefully sifted - by people who know what they're looking for, and who have access to the right tools. Deriving value from vast content stores needn't mean huge upheaval or a significant outlay, though. Rather, organisations need to be realistic about what they hope to achieve and what the payback will be, so that they can focus their efforts and look in the right places. Below are some suggestions of how to turn your knowledge discovery vision into an actionable plan.
FOCUS ON THE END GOAL Semantic analysis (applying 'meaning' to each piece of data) will undoubtedly be very useful when it matures, for example. But until companies have got their immediate business data in order, it is premature to start to try reading farther removed messages that may be crackling in the static. Integrating existing data sources (such as internal data warehouses or fragmented operational systems) will probably be more beneficial in the short term. Just as companies shouldn't become blinded by the numerous technology options, neither should they worry about any shortfall in new skills. The chances are you already have all the data and analytical capabilities you need but, for whatever reason, are having difficulty harnessing them effectively.
SORT THE WHEAT FROM THE CHAFF It would be impossible and impractical to save all the data available to your organisation; deciding what to throw out is just as important as deciding what to keep. Meanwhile, simply tracking something won't automatically make the business any more equipped to act if an anomaly arises. So record the right data, and analyse it with clear purpose - i.e. to address an identified business problem or opportunity.
DON'T BECOME OVERWHELMED
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