By David Haertzen
The Analytical Puzzle describes an independent, useful, and finished method of construction an information warehouse on the way to bring about an elevated point of commercial intelligence inside of your company. New applied sciences regularly effect this technique and as a result this publication explains tips on how to leverage titanic information, cloud computing, facts warehouse home equipment, facts mining, predictive analytics, info visualization and cellular devices.
Here are the most targets for every of the book's 19 chapters:
- Chapter 1: boost a foundational wisdom of information warehousing, enterprise intelligence and analytics
- Chapter 2: construct the enterprise case had to promote your information warehousing venture, after which produce a venture plan that avoids universal pitfalls
- Chapter three: Elicit and set up enterprise intelligence and information warehousing enterprise requirements
- Chapter four: Specify the technical structure of the knowledge warehousing process, together with software program and infrastructure parts, know-how stack, and non-functional requisites. achieve an realizing of cloud established information warehousing and knowledge warehouse appliances
- Chapter five: know about info attributes together with metrics and key functionality signs (KPIs), the uncooked fabric of knowledge warehousing and enterprise intelligence
- Chapter 6: find out about information modeling and the way to use layout styles for every a part of the knowledge warehouse
- Chapter 7: converse the dimensional modeling language of measures, dimensions, proof, cubes, stars, and snowflakes
- Chapter eight: set up a profitable information governance application. find out how to deal with metadata on your facts warehousing and company intelligence project
- Chapter nine: determine beneficial information resources and enforce an information caliber program
- Chapter 10: Use database expertise in your facts warehousing venture, and comprehend the effect of information warehouse home equipment, giant facts, in reminiscence databases, columnar databases and on-line Analytical Processing (OLAP)
- Chapter eleven: practice info integration and comprehend the position information mapping, facts detoxing, facts transformation, and loading info play in a winning info warehouse
- Chapter 12: Use the company intelligence (BI) operations of slice, cube, drill down, roll up, and pivot to research and current data
- Chapter thirteen: find out about descriptive and predictive records, and calculate suggest, median, mode, variance and traditional deviation
- Chapter 14: Harness analytical tools equivalent to regression research, info mining, and facts to make ecocnomic judgements and count on the future
- Chapter 15: have fun with the elements and layout styles that compose a profitable analytic application
- Chapter sixteen: achieve an realizing of the makes use of and merits of scorecards and dashboards together with help of cellular machine users
- Chapter 17: achieve perception into purposes of industrial intelligence which may revenue your company, together with danger administration, finance, advertising and marketing, executive, healthcare, technological know-how and sports
- Chapter 18: practice purchaser analytics to raised comprehend and phase your customers
- Chapter 19: attempt, roll out, and maintain the information warehouse
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