“Metadata is our friend,” said Hitachi’s CTO at Meritalk’s Big Data Brainstorm late last year.
This week we had three new installations of the latest version of the Waterline Data Catalog. Because this is a relatively new release with some major functionality improvements, our VP of products has closely monitored and sought out customer feedback. When I asked him how things were going, he said, “the installations went very smoothly and I can tell you now, that customers A & B will be successful.” But when I asked about customer C, he said “if we don’t do something, customer C, will fail.” Customer A is a large manufacturer in the computer industry, customer B is a worldwide restaurant chain and customer C is a data analytics company.
A great article appeared in Diginomica this week about Nordea combining Waterline Data’s information cataloging with data wrangling to drive the Swedish bank’s machine-led decision making.
May 25, 2018. That’s when the new requirements set forth by the European Union’s General Data Protection Regulation will go into effect.
In talking with prospective customers, I am finding there is a lot of confusion about what makes a data catalog. Lately, we’ve seen some companies consider taking their search technology and calling their search product a “data catalog”, which is not entirely accurate. This is happening purely because the enterprise search market is being overrun by open source phenom, Solr and companies that were once in the enterprise search space are looking for a new home.
Or so the robot from Lost in Space might say. Though, as organizations begin working toward GDPR readiness, many may find themselves instead quoting Dr. Smith: “Oh the pain, the pain!”
Do you (or your organization) waste too much time searching for data and not enough time actually using it? Me too. In fact, most Chief Data Officers I speak with complain of the same problem and I’d estimate that in general, 9 out of 10 CDOs complain about this particular issue. But when you consider the way most companies manage their data, this shouldn’t really come as much of a shock.
Data hoarding organizations like yours are risking too much. It’s time for hoarding organizations to shut down their data museums.
Last week I came upon an article entitled, “Beware the Dangerous Databerg Lurking Beneath Your Business' Surface.” Apparently awareness of all the ways dark data can damage a business is still incredibly limited—so much so that Veritas actually determined there was a need to post this sponsored piece on CIO.com.