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The IT industry and the world at large have always been subject to technology and business trends, sometimes in major changes, such as personal computer development, client / server computing and the evolution of the Internet. In recent years, new trends have emerged that have had a huge influence on how organizations work, interact, communicate, collaborate and protect themselves. Eight IT ‘meta-trends’ influence organizations’ strategies, operations and investments in a wide variety of ways:
• Digitization
• Drinking Agility
• Security
• Machine Learning
• Cloud Mobile
• Artificial intelligence
These meta-trends can be considered as the main drivers of a number of important trends, whether related to the use of software and technologies for business intelligence / analysis (BI) and data management or how it is organized BI. In general, they shape the future of business intelligence and, more specifically, the BI and data management trends analyzed. BI Consultant in Mauritius Monitor 2017 reflects the trends of business intelligence and data management that currently drive the BI market from the user’s perspective. In order to obtain useful data for BI Trend Monitor, we asked almost 2,800 users, consultants and vendors for their views on the most important BI trends. Their answers reveal a global vision of the future of BI, as well as regional, business and industry differences, providing an objective and up-to-date perspective on the business intelligence market. Data discovery and Data Visualization Solutions in Mauritius, self-service BI, and data quality / data management are the three topics that BI Consultants in Mauritius identify as the most important trends in their work. At the other end of the spectrum, data labs / data science, cloud BI and data as a product were voted as the least important of the twenty-one trends covered in a survey. This shows that “promoted” issues or initiatives in early moving companies cannot gain greater attention as important business intelligence trends than more conventional issues such as data discovery and self-service BI or fundamentally important issues that have existed for a time as data quality and management of master data.
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