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- Ajay Budhraja [sharethis]

Value Creation Through Information SharingBig Data provides the foundation for processing unstructured information. The ability to process unstructured information results in finding out trends and patterns that can then be further analyzed. This is important since the foundation of data analytics and predictive analysis is the ability to obtain relevant information out of the mountains of unstructured data. In addition, there should be an emphasis on service integration and interoperability to include relational data, unstructured data and other data sources.

Open Data initiatives should be based on strong foundations of technologies such as Shared Services, Big Data and Cloud. There are initiatives underway related to open data that drive the development and deployment of innovative applications. Making data accessible enables the development of new products and services. This data should be made available in a standardized manner so that developers can utilize it quickly and effectively. Open data maximizes value creation built on the existing structured and unstructured data. Open Data strategy and initiatives should define specific requirements of what data will be made available based on the utility of that information.

Big Data processing and analysis drives enhanced decision making such as in the areas of complex real time analytics, discovery of patterns and business intelligence. Frameworks such as Hadoop support distributed processing of large data sets and vendors are providing connectors to support Big Data, Cloud management and in memory computing to reduce data aggregation and maintenance time. Big Data analytics facilitates advanced analytics and Open Data facilitates greater transparency.

Making specific and “relevant” information available, while protecting security and privacy is the next level of data sharing.

The key here is “relevance”.

Just providing massive dumps of data that are hard to use is not the solution.

  1. Based on the identified requirements, APIs (Application Programming Interfaces) should be provided so that users of the data can seamlessly plug into specific data points.
  2. Data provided should also be non-proprietary.
  3. In addition, there have to be processing layers that extract useful information from the data obtained through these APIs.

The data that is obtained should support automated processing to develop custom applications and can be rendered as html, xml etc. This can promote greater number of not just traditional applications, but also mobile applications. There has to be great emphasis on security and privacy since any errors can compromise important information when the data vaults are opened.

(This has been extracted from and is reference to Ajay Budhraja’s blog. All views and information expressed here are solely Ajay’s views, and do not represent the positions and views of anyone else, any organization or any government agency).

Image courtesy of KROMKRATHOG at

Linda Musthaler About the Author
Ajay Budhraja has over 23 years in Information Technology with experience in areas such as Executive leadership, management, strategic planning, enterprise architecture, system architecture, software engineering, training, methodologies, networks, and databases. He has provided Senior Executive leadership for nationwide and global programs and has implemented integrated Enterprise Information Technology solutions.
Ajay has led large-scale projects for big organizations and has extensive IT experience related to telecom, business, manufacturing, airlines, finance and government.He has received many awards, authored articles and presented papers at worldwide conferences. Ajay has a Masters in Engineering (Computer Science), and a Masters in Management and Bachelors in Engineering. He is a Project Management Professional certified by the PMI and is also CICM, CSM, ECM (AIIM) Master, SOA, RUP, SEI-CMMI, ITIL-F, Security+ certified. Ajay has been leading organizations as a Senior Executive. He is the Co-Chair for the Federal SOA COP and has served as President DOL-APAC, AEA-DC, Co-Chair Executive Forum Federal Executive Institute SES Program. As Adjunct Faculty, he has taught courses for several universities. He has worked extensively in the areas of application development, infrastructure development, networks, security and has contributed significantly in the areas of Enterprise and Business Transformation, Strategic Planning, Change Management, Technology innovation, Performance management, Agile management and development, Service Oriented Architecture, Big Data, Cloud, Mobility. Ajay Budhraja is a reputed international speaker, has presented papers at worldwide conferences and forums, received many awards and authored articles.

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