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Learning SAP Analytics Cloud.
Start making better business decisions backed by dataAbout This Book* Predict new opportunities and risks in a few mouse clicks* Eliminate complexity with tools that let you plan, analyze, and collaborate in context-in real time* Discover, visualize, plan, and predict in a single product with agile...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2017.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Ahmed, Riaz. | |
| 245 | 1 | 0 | |a Learning SAP Analytics Cloud. |
| 260 | |a Birmingham : |b Packt Publishing, |c 2017. | ||
| 300 | |a 1 online resource (420 pages) | ||
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| 505 | 0 | |a Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Getting Started with SAP Analytics Cloud; Anatomy of SAP Analytics Cloud; The Home screen; The main menu; Data sources and models; Create a direct live connection to SAP HANA; Connecting remote systems to import data; Connect Google Drive to import data; Refreshing imported data; Visualization; Collaboration; Presentation; Administration and security; Signing up for the trial version; Summary; Chapter 2: Models in SAP Analytics Cloud; Understanding measures and dimensions. | |
| 505 | 8 | |a Planning and analytical modelsCreating a new analytical model; Selecting a source file; Setting name, description, and other parameters for the model; Setting dimension type; Creating a location dimension; Deleting unnecessary columns from the model; Creating a hierarchical relationship between two columns; Viewing the model in the modeler interface; The time dimension; Account dimension; Private dimensions; Browsing models; Copying a model; Deleting a model; Clearing model data; Viewing model data; Viewing numerical data; Viewing data graphically; Observe some more data filtration; Summary. | |
| 505 | 8 | |a Chapter 3: Planning modelCreating a planning model; Visualizing planning model data; Viewing the text data; Spreading, distributing, and assigning values; Creating private versions; Summary; Chapter 4: Creating Stories Using Charts; Demo models; The Best Run demo model; The Planned Events model; Creating a new story; Selecting a model for the story; Creating a numeric point chart to show net revenue; The calculation editor; Apply conditional formatting using thresholds; Gross margin numeric point chart; Styling tiles; Gross margin percentage numeric point chart. | |
| 505 | 8 | |a Create a calculated measure -- Gross Margin %Formatting a measure; Viewing calculated measures in data view; Presenting data with a line chart in a story; Applying filters to the time dimension; Creating a bar chart; Drilling up and down in a chart; Creating a stacked Bar/Column chart; Creating calculated and restricted measures with input control; Creating Calculated Measure and input control; Adding values to input control; Creating a Restricted Measure; Creating the Difference From measure; Summary; Chapter 5: Extending Stories with KPI, Filters, and Other Handy Objects. | |
| 505 | 8 | |a Key performance indicators (KPIs)Story and page filters; Creating a chart to display key performance indicators; Setting a chart's attributes; Adding a reference line to a chart; Setting individual chart filters; Adding a page filter; Adding a page filter for products; Adding a location page filter; Adding a story filter; Creating a linked analysis; Adding dynamic text; Adding static text; Adding shapes; Adding images; Present mode; Creating hyperlinks; Examining data behind a visualization; Setting styling preferences for your story; Creating an aggregation calculation. | |
| 520 | 8 | |a Start making better business decisions backed by dataAbout This Book* Predict new opportunities and risks in a few mouse clicks* Eliminate complexity with tools that let you plan, analyze, and collaborate in context-in real time* Discover, visualize, plan, and predict in a single product with agile BI toolsWho This Book Is ForThis book targets IT professionals, business analysts, BI developers, managers, newcomers to SAP Analytics Cloud, and ultimately anyone who wants to learn from self-paced, professional guidance and needs a solid foundation in SAP Analytics Cloud. What You Will Learn* A clear understanding of SAP Analytics Cloud platform* Create data models using different data sources, including Excel and text files .* Present professional analyses using different types of charts, tables, geo maps, and more* Using stories, drill up and down instantly to analyze data from various angles* Share completed stories with other team members or compile them in SAP Digital Boardroom agendas for presentation to major stakeholders* Export the results of a story to a PDF file* Save time by planning, analyzing, predicting, and collaborating in context* Discover, visualize, plan, and predict in one product as opposed to separate solutionsIn DetailThe book starts with the basics of SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) and exposes almost every significant feature a beginner needs to master. Packed with illustrations and short, essential, to-the-point descriptions, the book provides a unique learning experience. Your journey of exploration starts with a basic introduction to the SAP Analytics Cloud platform. You will then learn about different segments of the product, such as Models, Stories, Digital Boardroom, and so on. Then, you are introduced to the product's interface: the Home screen, the main menu, and more. Then comes the hands-on aspect of the book, which starts with model creation. Next, you learn how to utilize a model to prepare different types of stories(reports) with the help of charts, tables, Geo Maps, and more. In the final chapters of this book, you will learn about Digital Boardroom, Collaboration, and Administration. Style and approachThe easy-to-follow visual instructions provided in this book help business users and report developers create simple and complex stories (reports) quickly. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Business intelligence |x Data processing. | |
| 650 | 0 | |a Decision making |x Data processing. | |
| 650 | 0 | |a Cloud computing |x Data processing. | |
| 650 | 0 | |a Data mining. | |
| 650 | 6 | |a Prise de décision |x Informatique. | |
| 650 | 6 | |a Infonuagique |x Informatique. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Decision making |x Data processing |2 fast | |
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