by Angela Guess
Scott Denne of the Wall Street Journal recently discussed the confusion that businesses are faced with when trying to understand the specifics of so-called Big Data tools and technologies. He writes, “When the fervor over ‘big data’ subsides, what will have been the cause? Words are a likely culprit, said Anukool Lakhina, the founder and chief executive ofGuavus, a data analytics start-up serving the telecommunications industry. ‘The vocabulary that’s being used to describe this space is tools and technologies’ and that confuses customers because it doesn’t help them understand how data can be used to solve their problems, he said.”
Denne continues, “Most of the emerging technologies that are behind the excitement around data, like Hadoop and NoSQL databases, imply that if companies store their data with the right tools, they’ll be able to extract value from it later. But how can companies expect to justify a $20 million investment in storage without knowing what the return will be, Lakhina said. Though Guavus also provides storage tools–as well as every other piece of technology that a company needs to make sense of large amounts of data, from ingestion through analytics–it puts the analytics first in its sales pitch and that’s resonating so far.”
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