By Gordon S. Linoff
Beneficial enterprise research calls for you to successfully rework facts into actionable details. This booklet is helping you utilize SQL and Excel to extract enterprise details from relational databases and use that info to outline enterprise dimensions, shop transactions approximately buyers, produce effects, and extra. each one bankruptcy explains while and why to accomplish a specific kind of enterprise research so that it will receive necessary effects, how one can layout and practice the research utilizing SQL and Excel, and what the consequences should still appear like.
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It is a coder's e-book. it is meant to aid builders construct functions that utilize Transact-SQL. it is not approximately database management or layout. it is not approximately end-user or GUI software improvement. it isn't even approximately server or database functionality tuning. it really is approximately constructing the simplest Transact-SQL code attainable, whatever the software.
Professional SQL Server 2008 Analytics presents every little thing you want to understand to strengthen subtle and visually attractive revenues and advertising dashboards utilizing SQL Server 2008 and to combine these dashboards with SharePoint, PerformancePoint, and different key Microsoft applied sciences. The e-book starts by means of addressing the numerous misconceptions that encompass using key functionality signs (KPIs) and giving a quick evaluation of the enterprise intelligence (BI) and reporting instruments that may be mixed at the Microsoft platform that can assist you generate the consequences that you simply desire.
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Extra info for Data Analysis Using SQL and Excel
You know what variables ought to be predictive and have good ideas about new ones to derive. Fake data does not reward these good ideas because patterns that should be in the data are missing and patterns that shouldn’t be there have been introduced inadvertently. Real data is hard to come by, not least because real data may reveal more than its owners are willing to share about their business operations. As a result, many books and courses make do with artificially constructed datasets. com. I reviewed the chapters of this book as they were written.
This column would take on the value of NULL for all rows where the birthdate is not known. A table can have as many columns as needed to describe an instance, although for practical purposes tables with more than a few hundred columns are rare. A table can have as many rows as needed; here the numbers easily rise to the millions and even billions, because these often represent customers or customer transactions. As an example, Table 1-1 shows a few rows and columns from the Zipcensus table (which is available on the companion web site).
So much data. So little information. Oil deposits and diamonds hidden in rich seams beneath the surface of the earth are worth much less than gasoline at the pump or Tiffany diamond rings. Prospectors can make a quick buck on such deposits. On the other hand, the companies willing to invest the dollars to transform and process the raw materials into marketable goods are the ones that uncover the long-term riches. This book is about the basic tools needed for exploiting data, particularly data that describes customers.
Data Analysis Using SQL and Excel by Gordon S. Linoff