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Publications (4)0 Total impact

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    G. Koteswara Rao, Roshan Kumar
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    ABSTRACT: In this digital age organizations depend upon the technologies to provide customer-centric solutions by understanding well about their customers' behaviour and continuously improving business process of the organization. Business intelligence (BI) applications will play a vital role at this stage by discovering the knowledge hidden in internal as well as external sources. On the other hand, Knowledge Management (KM) will enhance the organisations performance by providing collaborative tools to learn, create and share the knowledge among the employees. The main intention of the BI is to enhance the employees' knowledge with information that allows them to make decisions to achieve its organisational strategies. However only twenty percent of data exist in structured form, majority of banks knowledge is in unstructured or minds of its employees. Organizations are needed to integrate KM with Knowledge which is discovered from data and information. The purpose of this paper is to discuss the need of business insiders in the process of knowledge discovery and distribution, to make BI more relevant to business of the bank. We have also discussed about the BI/KM applications in banking industry and provided a framework to integrate BI and KM in banking industry.
    09/2011;
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    G. Koteswara Rao, Shubhamoy Dey
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    ABSTRACT: Information and communication technology has the capability to improve the process by which governments involve citizens in formulating public policy and public projects. Even though much of government regulations may now be in digital form (and often available online), due to their complexity and diversity, identifying the ones relevant to a particular context is a non-trivial task. Similarly, with the advent of a number of electronic online forums, social networking sites and blogs, the opportunity of gathering citizens' petitions and stakeholders' views on government policy and proposals has increased greatly, but the volume and the complexity of analyzing unstructured data makes this difficult. On the other hand, text mining has come a long way from simple keyword search, and matured into a discipline capable of dealing with much more complex tasks. In this paper we discuss how text-mining techniques can help in retrieval of information and relationships from textual data sources, thereby assisting policy makers in discovering associations between policies and citizens' opinions expressed in electronic public forums and blogs etc. We also present here, an integrated text mining based architecture for e-governance decision support along with a discussion on the Indian scenario.
    08/2011;
  • G Koteswara Rao, Shubhamoy Dey
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    ABSTRACT: In the modern business context, the information needs of the banking industry are undergoing a transformation. Growing out of business intelligence led analytics, the need for a more flexible human user oriented information creation and sharing platform is emerging. In this paper, we have provided the conceptual framework for new product development (NPD) plan for banks through the integration of Business intelligence (BI) and Knowledge Management (KM). The paper discusses the applications of BI and KM and also the status of ICICI bank and public sector banks' (PSB) information systems infrastructure and their preparedness to adopt an integrated architecture for supporting complex decision-making. ICICI bank example helps to understand integration plan, if BI and KM practices are in place. PSB example helps us to understand integration plan, if KM practices are not in place. One can start a KM for BI and extend it throughout the organization.
  • Roshan Kumar, Shubhamoy Dey, G Koteswara Rao
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    ABSTRACT: Globalization and the rise of mobile technologies have significantly increased the mobile workforce in organizations. Enterprise App Store (EAS) is a rising phenomenon to harness mobile technologies for achieving enterprise solutions. These solutions are largely diversified and lack focus to address specific business areas. The concept of mobile knowledge management (mKM) is still in its infancy. This paper suggests a framework to realize the development and integration of an EAS to existing KM strategies of the organization. Service oriented architecture (SOA) concepts are utilized in developing and integrating mobile applications. It is also suggested to introduce formal governance structure for the integrated system. The benefits of the suggested framework are enhanced flexibility, efficiency, effectiveness, ubiquity and connectivity to the organizational KM endeavours. The paper concludes with some recommendations for the EAS development, discussion about present challenges and future of the mobile application development. Keywords M obile application, Enterprise Application Store (EAS), M obile Knowledge M anagement (mKM), Enterprise mobility, mobile learning.