The adoption of business intelligence systems in textile and apparel industry: Case studies

The textile and apparel industry are characterized by highly labor-intensive operations, short production lead times, huge capital investment, seasonal demand and frequent style changes. In the recent decade, BI systems have been broadly adopted and implemented to achieve the true effectiveness of various systems and emerging technologies that are integrated to enhance the strategic, management and operational efficiency of textile and apparel industry to cope with the rapid growing challenges of globalization and expanding international competitive business environment. This research is first attempt to investigate the adoption of BI systems and discussing the real textile and apparel industry cases based on qualitative research method and also highlight the improved processes with some leading BI solutions. In addition, some major barriers and critical success factors for BI systems adoption are identified. The study limitation is also discussed with conclusion

Big Data in the Public Sector. Linking Cities to Sensors

Part 5: Big and Open Linked DataInternational audienceIn the public sector, big data holds many promises for improving policy outcomes in terms of service delivery and decision-making and is starting to gain increased attention by governments. Cities are collecting large amounts of data from traditional sources such as registries and surveys and from non-traditional sources such as the Internet of Things, and are considered an important field of experimentation to generate public value with big data. The establishment of a city data infrastructure can drive such a development. This paper describes two key challenges for such an infrastructure: platform federation and data quality, and how these challenges are addressed in the ongoing research project CPaaS.io