Product data, search and understanding relationships

The amount of information is growing, everywhere. Users demand the right information at the right moment in time because they are very busy and can barely afford spending any time searching for it. Consumer technologies are driving peoples expectations with regards to how data is accessed. However, the task of accessing the right data at the right time is getting more complicated and challenging as data proliferates in companies. Data rich sources such as CAD documents and databases only add to the complexity and challenge.

When it comes to accessing data, search (or search tools) are not always a good solution since you may not know what you don’t know by way of what to search for.  Google, for example, presents a good example of what I mean. To find the relevant information you are looking for requires an understanding of the context and relationship between the different elements of data that relate to the information you need.  Searching for Lady Gaga videos is one thing.  However, searching for all music videos of singers with similar music styles and singing voices to Lady Gaga might present a challenge on Google. I was reading Business Insider article, Larry Page just put out a big Manifesto. One of the things that Larry Page talks about in the article is “understanding relationships” to improve search. Here is my favorite passage:

Next-generation search

Understanding identity and relationships can also help us improve search. Today, most search results are generic, so two strangers sitting next to each other in a café will get very similar answers. Yet everyone’s life experiences are unique. We are all knowledgeable about different things; we have different interests and our preferences—for music, food, vacations, sports, movies, TV shows, and especially people—vary enormously …

Google+ helps solve this problem for us because it enables Google to understand people and their connections. So when I search for Ben Smith, I get the real Ben Smith (for me), right there in my search box, complete with his picture. Previously, the search box would just have had the series of letters I had typed, with no real understanding that I was looking for a unique person. This is a huge and important change, and there’s a ton more work to do.  But this kind of next-generation search in which Google understands real-world entities—things, not strings—will help improve our results in exciting new ways. It’s about building genuine knowledge into our search engine.

You may be asking yourself how this relates to Inforbix.  Here is how .  Turns out that Inforbix “understands” product data and product data relationships.  Doing so is “built-in”. Inforbix helps you combine searches which automatically infer relationships between disparate data sources where they reside.  Moreover, you can search, navigate, and browse results in an intuitive fashion so identifying relevant results is easy.  Here’s a snapshot of Inforbix data snippets.  Notice how Inforbix presents links to related data:

Conclusion.  Inforbix provides technologies and apps to search and navigate for the right product data located in multiple places and sources. Using semantic technology, Inforbix presents and exposes data in multiple ways which provide different means to extract value and utility from it. There are Inforbix apps in the works to help you get more out of your data, e.g., to analyze duplicates, estimate data quality, optimize processes, and many others. Keep your eye on Inforbix.  We’re moving fast.  In the meantime, try all our current Inforbix apps on your data.  Register today, it’s free and painless.

Best, Oleg