Big Data plays a vital role in the stock market, especially for traders who need real-time information. Due to the bulk and nature of such data, several data mining technologies have been developed and employed in their collection, classification, storage and analysis, putting them in a form that is useful to traders. In the stock market, big data is useful in fundamental and technical analysis as it captures both historical trends as well as market sentiment. This paper discusses the possible uses of big data for business intelligence by investors in the stock market. General TermsYour Big Data, Business Intelligence.

Quality is a fundamental component in the development of software. Consequently, various practitioners and researchers have attempted integrating Total Quality Managements (TQM) concepts in software engineering. Total Quality Data Management (TQDM) refers to a management tactic to longterm achievement through the fulfilment of the needs of clients. According to procedures of (TQDM), data should be managed the same way as products, though guidelines, principles, and methods of TQM for tangible products face various limitations in Total Data Quality Management practices due to the data's nature. This paper discusses significant success factors for quality management and the importance of total quality management in software engineering. KeywordsTotal quality management (TQM), total data quality management (TDQM), continuous improvement.

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