Google Data Search, business needs closer to academia
When you think about Google, what comes to your mind?
Well, Google is a lot more than that.
Google is behind Youtube, Android OS, and a bunch of other software from cloud versions of productivity tools, such as Docs, Drive, Calendar, to an entire marketing platform that dominates the digital world, Google Analytics itself takes 60% of market share according to iDataLabs and I tend to believe it’s a lot more after the intense growth of site builders with quick connectors to their marketing suite, Wix or Instapage to name a few.
The amount of resources this company has is fascinating. Furthermore, the innovation coefficient product after product feels limitless.
Google is good at finding things
Crawling and indexing in fancy words, and storing optimized retrievable information and this is why we love Google Search. Take some time and try to put the two areas of expertise together in different forms, you end up inventing Google Search, maybe Google Drive, the list goes on, same similar skill set with a couple tweaks here and there.
Their last product release was no different but got the scientific community’s attention. Google announced a new Search Engine capable to find datasets to your team. How promising is this?
Taking Kaggle as an example, the platform is crucial to the Data Science community in many different forms, empowering newcomers while keeping the technology state of the art with the well-crafted competitions solving real-world problems.
What problem is there for Google to solve?
The company is known by democratizing open and sharable knowledge jumping into the scientific community seems like a natural next step. The beta version of Data Search is already live covering datasets from environmental and social sciences, government data, and datasets from news organizations like ProPublica. However, with the expected platform grow Data Professionals can count with an academical platform that will group research from Google Scholar with the actual data open for further exploration with a look on the business side of things.
The problem to be solved is the current fragmentation found by frustrated lines of work who rely on quality data to continue operations. Finding quality data takes time and effort as stated by Jeni Tennison, CEO of the Open Data Institute (ODI) on the release coverage by The Verge.
From a personal perspective, my engineering thesis would’ve been a lot better in terms of tangible results if I had found a complete data set to work with, instead of using resampling and bootstrap techniques.
In summary, Google Data Search is exciting news, I’m following up closely and spreading the word. My current expectations are that the same way Google Data Studio had a brilliant beta phase Data Search will succeed.
What are your expectations from this platform? Will it help to solve your use cases better from now on? We all hope the answer is yes, for a better Data Community.
I’m constantly publishing findings and interesting client’s use cases on LinkedIn if you’re interested in Digital Marketing Data Science topics.
If you’re interested in data visualization and storytelling best practices, don’t skip my series reviewing Storytelling with Data from the ex-Google expert Cole Knaflic. The comparison below is a before and after Storytelling with Data!