Implementation of DSS/Bi in an organisation
Some of the problems that the organisation may experience upon implementation
An organisation may consider DSS/BI platform implementation to be a complex initiative. However, successful implementation of the DSS/BI system and subsequent adaptation of an organisation rely on several factors. These factors include system evaluation, implementation approach and execution of important elements for effective implementation. However, anecdotal accounts show that many organisations have failed to implement the DSS/BI system effectively, which has affected utilisation of the system and realisation of the intended outcomes. This has been a source of concern for effective utilisation of the DSS/BI system to realise the intended outcomes. The inability of an organisation to prepare users adequately for the system change is the major cause of DSS/BI failures in many organisations. In most cases, many employees lack the required skills to use DSS/BI platforms.
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Some of the benefits that this DSS/BI may provide to that organisation
The use of DSS/BI platforms could lead to improved organisational operations, decision-making processes, forecasting, analysing, reporting and changes in other core areas of organisational practices. Thus, an organisation can rely on facts and data for decision-making and not the industry speculations. Business process re-engineering and subsequent adaptation will offer favourable chances for enhancing performance by improving business processes and operational efficiency. However, for an organisation to realise the advantages of using DSS/BI platforms, it must conduct an effective business process re-engineering, which can enhance flexibility in data usages for business operation improvements.
An organisation can then improve their business operations by reducing wastage of resources associated with poor forecasting and enhancing and optimising main business processes during poor weather patterns. However, the DSS/BI platform may require technical expertise to manage various processes, such as change management, data strategy and migration and system trainers. Moreover, an organisation may also seek external assistance from qualified or certified data scientists if internal expertise cannot ensure effective implementation of the new DSS/BI platform.
Business Intelligence Technologies
Speech recognition and two applications of the technology, which may have positive social implications
Speech recognition technology has critical applications that may have positive social implications for users. Firms have adopted speech recognition technology to enhance identification. Automated identification can verify and authenticate users’ identity without exposing personal data. This strategy reduces the risks associated with personal data thefts. Today, identity thefts and fraud remain the biggest challenge for many organisations and individuals. Such activities lead to massive losses to concerned parties. Voice biometrics can eliminate such challenges through speech recognition in telephone conversations.
Speech recognition technology also enhances call steering to the right department. For a long time, customers have waited for busy operators to get assistance or have been directed to wrong departments over the phone. This scenario leads to frustration and dissatisfaction with the customer service of an organisation. Through speech recognition technologies, callers may rely on a ‘self-service’ option to get the right service or department. Speech recognition may identify the reason for the call, verify personal information under security risk management and transfer the caller to the right person. In some cases, customers do not have to repeat their requests because they appear on the screen.
The use of geospatial technologies in the delivery of government services: how these technologies work and how they have the capacity
The use of geospatial technologies in the delivery of government services can improve government services. Today, the explosion of data has led to geospatial analytics, which has radically changed service delivery in the public sector. Analysis of data collected from various geographical sources can assist the public sector in understanding different factors that influence the provision of services to people in various areas. Consequently, geospatial analysis can help the public sector to get valuable insights for enhancing efficiency, reducing costs, improving quality of service and outcomes, engaging stakeholders and improving collaboration with other key stakeholders.