Browsing by Author "Krishnan, Vijay"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Libraries as Data Repositories for Smart City projects
    (INFLIBNET Centre, Gandhinagar, 2019-11) Bharanidharan, S; Krishnan, Vijay; Krishnamoorthy, G
    Libraries play a key role in the development of their communities. Information available in a library is valuable to the community for its development. Archives and records about a place or geographical community is a repository of the history of developments in that location. These can span various aspects of governance and administration from land use to water supply, from transportation to electricity, and others. From villages to cities, various records are collected and historical data is available. Indian customs and traditions could impact such records. Computerization of records has made them easily accessible. Smart city implementations can involve data collection and analytics for the benefit of their communities. There are privacy concerns around data from IoT and other technology platforms. Libraries have contributed to smart city developments. In places where there is conflict around control or access to such data, libraries can offer data archival, governance and analytical services so that smart city project data can benefit the intended communities.
  • Thumbnail Image
    Item
    Research Data Analysis with Power BI
    (INFLIBNET Centre, 2017-08) Krishnan, Vijay
    Power BI has taken the world of business intelligence, data visualization and analytics by storm. Power BI is an online service that enables searching data, transforming it, visualizing it, and sharing the developed reports and dashboards with other users in the same or different department/organizations or even with the general public. As of February 2017, more than 200,000 organizations across 205 countries are using Power BI. Power BI is having a free option that has adequate features and functionality, it has become a serious contender for use as a business intelligence platform in small and medium organizations. One of the innovative features of Power BI is its Quick Insights feature (Michael Hart, 2017) that is built on a growing set of advanced analytical algorithms. After uploading a dataset to Power BI, a click of a button can be used to invoke this feature that automatically builds many reports based on its analysis of the data, without any human intervention being required. This also helps reduce human errors, in calculations and statistical techniques, which lead to un-verifiable research. Accepting even Excel spreadsheets as input, Power BI is easy to use and ripe for adoption as a platform for Research Data Analysis. In this paper, an attempt has been made to show how easily a dataset of research data can be transformed by Power BI into a set of analytical reports and dashboards, and which can be shared with ease.