Our Products

1Data Dictionary - Software as a Service for Heterogeneous Data Management Vendors – Ontology and Visualization ; One – click installation Package

The objective of this project (arising from the idea of providing seamless solutions to the above challenges) is to address the ever changing and dynamic requirements in data management industry by providing a tailor-made one-click to install “all-encompassing software package” as Data Dictionary Software as a Service to various organizations thereby reducing the costs and man hours associated with building such internal software solution

2 Product Abstract and Analysis, Market Trend and Competition

  • According to Intel, data in bytes is growing at a faster rate than the Universe we exist in. In 2011 alone, Intel and other pioneers in the storage industry saw more than 53% increases in the data from the previous year. Library of Congress, Amazon, YouTube, Google, Choice Point, Sprint, AT&T, National Energy Research Scientific Computing Center, World Data Center for Climate are a few institutions that own or host data in tens of thousands of Petabytes. Right from a small convenient store around the corner to massive organizations like the above use one or more forms of database management systems designed and developed by various vendors.
  • According to Tech News, the scale and size of data in use by Google is described as “What we talk about here is Google's search database. Giving a near exact figure on how big Google's search database is, is very difficult to do. It is growing each millisecond and even if we were allowed to monitor it (everything related to the Google Search database is a corporate secret and only a few people know the real details), we would need a real-time counter.
  • Based on the information we -do- know there are some estimates however suggesting that the Google Search database (2013) is around 450 to 550 terabytes. And that's "just" the search part only. Imagine adding to that Drive, Picasa, G-mail, Blogger, YouTube and all the other Google services. I think we would be looking at more than 80 petabytes of Google at the very least!” What does all this data mean?
  • Per the basic understanding, data, when organized in a structured format (like tables and fields in a relational database management system) yields information. But, are all tables, fields and their content self-explanatory? “No”. Is there a standard naming and definition convention used across the databases used in different organizations? The answer is probably “No”. Simple analogy: Data in the form of fields and related tables could mean one to some groups but could mean completely otherwise to other groups. To justify and prove this statement, let us analyze the following.
  • “POC” stands for “Proof of Concept” in a design department of an organization that builds prototypes for demonstration, but the same stands for “Point of Contact” in Human Resources department.
  • Such “not to be confused with” terminology is an everyday challenge in all organizations, particularly healthcare where acronyms and new terminology are a part-and-parcel of day-to-day operations. Here arises the need for a data dictionary.