In Analytics At Work Smarter Decision, Better Results,

In Analytics at Work: Smarter Decision, Better Results, Thomas H. Davenport, Jeanne G. Harris and Robert Morison explain how managers apply analytics for making decisions during operation. According to their research and examples, they developed DELTA (data, enterprise, leadership, targets, and analysts) model for developing analytical enterprise and leaders. The analytics sets a new trend of establishing or changing the business process. Organizations have started processing data from conceptual stage to program delivery stage. 3 PAGE ASSESSMENT AND ANALYSIS Our team came up with six learning outcomes which are significant for management to understand and should apply them to reality. 1. ANALYTICS AS A FOUNDATION OF†¦show more content†¦Sometimes, data is shared by different departments or even different enterprises, management should know to integrate data to create quot;extended enterprisequot; (Davenport et al, 2010). This can help make smarter decisions and gain profits together. Also, the analytical enterprise should quot;build a corporate-wide IT platformquot; (Davenport et al,2010). Though it is a long way to building this kind of platform, there are two things the management should consider. A. Steps by steps. IT department can develop from collecting data, but it will not end here. It should then develop a system to analyze and improve the enterprise#39;s performance. B. Use analytical tools for data management. 3. HAVE ANALYTICAL LEADERSHIP To create an analytical enterprise, it requires more than integration and IT platform. Leadership is the deciding factor because a leader can help change the traditional ways people think analytics are and create an organizational culture which emphasizes the importance of analytics. The management should identify an analytical leader through their traits. For example, an analytical leader can be aware that the organization must make decisions based on data, try to develop a culture and so on. To develop analytical capability in enterprises, there should be â€Å"different leadership environments† among five stages (Davenport et al, 2010). 5 PAGE A. Stage 1 to Stage 2, the organizationShow MoreRelatedThe Age Of Big Data Essay1732 Words   |  7 PagesEveryone will need analytics eventually. Proactively analytical people will be more marketable and more successful in their work Good with numbers? Fascinated by data? The sound you hear is opportunity knocking. – The age of big data. Introduction The terms and uses of big data, business analytics, data science are nothing new. In fact, more and more companies now-a-days whether large or small are beginning to understand the potential of big data and associated analysis approaches as a way to gainRead MoreUsing Analysitcal Tools to Improve Business Sustainability1360 Words   |  6 PagesIn everyday routine, people make hundreds of decisions in their personal and professional lives in response to different situations. 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