Archive for the ‘Corporate Data’ Category

Humpty-Dumpty on Being Data-Driven

Monday, January 26th, 2015

What’s Hampering Corporate Efforts to be Data-Driven? by Michael Essany.

Michael summarizes a survey from Terradata that reports:

  • 47% of CEOs, or about half, believe that all employees have access to the data they need, while only 27% of other respondents agree.
  • 43% of CEOs think relevant data are captured and made available in real time, as opposed to 29% of other respondents.
  • CEOs are also more likely to think that employees extract relevant insights from data – 38% of them hold this belief, as compared to 24% among other the rest of respondents
  • 53% of CEOs think data utilization has made decision-making less hierarchical and further empowered employees, as compared to only 36% of the employees themselves.
  • 51% of CEOs believe data availability has improved employee engagement, satisfaction and retention, while only 35% of the rest agree.

As marketing literature, Terradata’s survey is targeted at laying the failure to become “data-driven” at the door of CEOs.

But Terradata didn’t ask or Michael did not report the answer to several other relevant questions:

What are the characteristics of a business that can benefit from being “data-driven?” If you are going to promote being “data-driven,” shouldn’t there be data to establish being “data-driven” benefits a business? Real data, not the power point slide hand wavy stuff.

Who signs the check for the enterprise is a more relevant question than the CEOs opinion about “data-driven,” IT in general or global warming.

And as Humpty-Dumpty would say, in a completely different context: “The question is, which is to be master, that’s all!”

I suppose as marketing glam it’s not bad but not all that impressive either. Data-driven marketing should be based on hard data and case studies with references. Upstairs/downstairs differences in perception hardly qualify as hard data.

I first saw this in a tweet by Kirk Borne.

Crowdscraping – You Game?

Tuesday, July 8th, 2014

Launching #FlashHacks: a crowdscraping movement to release 10 million data points in 10 days. Are you in? by Hera.

From the post:

The success story that is OpenCorporates is very much a team effort – not just the tiny OpenCorporates core team, but the whole open data community, who from the beginning have been helping us in so many ways, from writing scrapers for company registers, to alerting us when new data is available, to helping with language or data questions.

But one of the most common questions has been, “How can I get data into OpenCorporates“. Given that OpenCorporates‘ goal is not just every company in the world but also all the public data that relates to those companies, that’s something we’ve wanted to allow, as we would not achieve that alone, and it’s something that will make OpenCorporates not just the biggest open database of company data in the world, but the biggest database of company data, open or proprietary.

To launch this new era in corporate data, we are launching a #FlashHacks campaign.

Flash What? #FlashHacks.

We are inviting all Ruby and Python botwriters to help us crowdscrape 10 million data points into OpenCorporates in 10 days.

How you can join the crowdscraping movement

  • Join and sign up!
  • Have a look at the datasets we have listed on the Campaign page as inspiration. You can either write bots for these or even chose your own!
  • Sign up to a mission! Send a tweet pledge to say you have taken on a mission.
  • Write the bot and submit on the platform.
  • Tweet your success with the #FlashHacks tag! Don’t forget to upload the FlashHack design as your twitter cover photo and facebook cover photo to get more people involved.

Join us on our Google Group, share problems and solutions, and help build the open corporate data community.

If you are interested in covering this story, you can view the press release here.

Also of interest: Ruby and Python coders – can you help us?

To join this crowdscrape, sign up at:

Tweet, email, post, etc.

Could be the start of a new social activity, the episodic crowdscrape.

Are crowdscrapes an answer to massive data dumps from corporate interests?

I first saw this in a tweet by Martin Tisne.

Pondering Bibliographic Coupling…

Sunday, June 2nd, 2013

Pondering Bibliographic Coupling and Co-citation Analyses in the Context of Company Directorships by Tony Hirst.

From the post:

Over the last month or so, I’ve made a start reading through Mark Newman’s Networks: An Introduction, trying (though I’m not sure how successfully!) to bring an element of discipline to my otherwise osmotically acquired understanding of the techniques employed by various network analysis tools.

One distinction that made a lot of sense to me came from the domain of bibliometrics, specifically between the notions of bibliographic coupling and co-citation.


The idea of co-citation will be familiar to many – when one article cites a set of other articles, those other articles are “co-cited” by the first. When the same articles are co-cited by lots of other articles, we may have reason to believe that they are somehow related in a meaningful way.


Bibliographic coupling

Bibliographic coupling is actually an earlier notion, describing the extent to which two works are related by virtue of them both referencing the same other work.

Interesting musings about applying well known views of bibliographic graphs to graphs composed of company directorships.

Tony’s suggestion of watching for patterns in directors moving together between companies is a good one but I would broaden the net a bit.

Why not track school, club, religious affiliations, etc.? All of those form networks as well.

One year on: 10 times bigger, masses more data… and a new API

Wednesday, February 1st, 2012

One year on: 10 times bigger, masses more data… and a new API

From the post:

Was it just a year ago that we launched OpenCorporates, after just a couple months’ coding? When we opened up over 3 million companies and allowed searching across multiple jurisdictions (admittedly there were just three of them to start off with)?

Who would have thought that 12 months later we would have become 10 times bigger, with over 30 million companies and over 35 jurisdictions, and lots of other data too. So we could use this as an example to talk about some of the many milestones in that period, about all the extra data we’ve added, about our commitment to open data, and the principles behind it.

We’re not going to do that however, instead we’d rather talk about the new API we’ve just launched, allowing full access to all the info, and importantly allowing searches via the API too. In fact, we’ve now got a full website devoted to the api,, and on it you’ll find all the documentation, example API calls, versioning information, error messages, etc.

Congratulations to OpenCorporates on a stellar year!

The collection of dots to connect has gotten dramatically larger!