PPT-Data Analysis & Business Intelligence Made Easy with Excel Power Tools
Author : rodriguez | Published Date : 2023-11-11
Excel Data Analysis Basics EDAB EDAB01 Introduction to Class What is Data Analysis Instructor Scope of Class Version of Excel Define Data Analysis amp Business
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Data Analysis & Business Intelligenc..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Data Analysis & Business Intelligence Made Easy with Excel Power Tools: Transcript
Excel Data Analysis Basics EDAB EDAB01 Introduction to Class What is Data Analysis Instructor Scope of Class Version of Excel Define Data Analysis amp Business Intelligence Goals of Class. Business intelligence (BI). refers to all of the applications and technologies used to , provide access to, and information to efforts. Kristina Kerr. BI Product Manager. Microsoft. kkerr@microsoft.com. Microsoft. Pontus . Haglund. Mid-Market SSP. Microsoft. pontush@microsoft.com. Find information and. improve business insight. Infrastructure That Enables You To…. stay ahead of the curve. Uncover new information and value to . remain competitive. 4 . tracks. . designed to follow the . Analyst’s Journey. May 2-4, San Jose, California. Register . at . passbaconference.com . CHAPTER OUTLINE. 12.1. Managers and Decision Making. 12.2. What Is Business Intelligence?. 12.3. Business Intelligence Applications for Data Analysis. 12.4. Business Intelligence Applications for Presenting Results. refers to all of the applications and technologies used to gather, provide access to, and analyze data and information to support decision-making efforts. Putting together all of the pieces of the puzzle. Information Systems Development. Learning Objectives. Upon successful completion of this chapter, you will be able to:. Explain the difference between BI, Analytics, Data Marts and Big Data.. Define the characteristics of data for good decision making.. Introduction What You146re Going to Learn3 Ch 2 The Business Intelligence MarketCh 3 The BI Process Step 1 - IngestionCh 4 The BI Process Step 2 - AnalysisCh 5 The BI Process Step 3 - DeliveryCh 7 stay ahead of the curve. Uncover new information and value to . remain competitive. 4 . tracks. . designed to follow the . Analyst’s Journey. May 2-4, San Jose, California. Register . at . passbaconference.com . Community Manager: Principiante a Experto (Marketing Digital) (Spanish Edition) It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. Have you been working with massive amounts of data maybe millions of rows and need tools to evaluate it without taxing your laptop\'s processing power?Are you seeking a simple and powerful approach to analyze import filter query report and calculate data in Excel? Have you tried utilizing Excel\'s standard pivot table functionality to do these operations and been disappointed with the outcomes?Do you want to go above Excel\'s limit on how much data you may evaluate at one time?Do you want to change your data and record every step so you can go back and reuse it later?Do you need help with leveraging Excel\'s extra features such as tables queries and reports for your data visualizations?If you answered yes then this book on Microsoft Excel Power Pivot and Power Query is the perfect option for you.Microsoft Excel is a spreadsheet program that makes it simple to view represent and modify huge amounts of data in the workplace. External connections may be built to bring in data with the use of Power Pivot and Power Query. Before being loaded into the Editors of these tools this data may be converted modified and cleaned up to any state. With the use of PivotTables and Pivot Charts table linkages may be built among this data.This guide will provide a good foundation for beginners and newcomers to Microsoft Excel\'s Power Pivot and Power Query Editors. A beginner\'s tour of the Editors of these programs as well as the many techniques of importing and cleaning up your data is included in this guide. Major features filters techniques and loading options as well as the tools queries and functions to achieve the best results for your data analysis are all packed inside Excel Power Pivot and Power Query. With the lessons in this book anybody without a background in data analysis or queries may produce remarkable Power Pivot and Power Query outcomes.Here\'s a peek of what you\'ll find in this guideUnderstanding the Power Pivot Internal Data ModelActivating the Power Pivot RibbonLinking Excel Tables to Power PivotPreparing your Excel TablesAdding your Excel tables to the data modelCreating relationships between your Power Pivot TablesUsing Power Pivot data in reportingLoading data from other data sourcesLoading data from other relational database systemsRefreshing and managing external data connectionsEnhancing Power Pivot Data with Calculated ColumnsCreating your first calculated columnFormatting your calculated columnsReferencing calculated columns in other calculationsHiding calculated columns from end-usersUtilizing DAX to create Calculated ColumnsIdentifying DAX functions safe for calculated columnsBuilding DAX-driven calculated columnsMonth sorting in Power Pivot-driven Pivot TablesImporting data from the Azure databaseImporting data from ODBC connections to nonstandard databasesGetting data from other data systemsManaging data source settingsEditing data source settingsPerforming common transformation tasksRemoving duplicate recordsUnderstanding data type conversionsSpicing up custom columns with functionsAdding conditional logic to custom columnsUnderstanding the Merge FeatureUnderstanding the Power Query joinsMerging queriesImplementing some Power Query Productivity Tips... and a lot more8230and lots moreTo provide all-around enjoyment this guidebook also demands an understanding and practicing reader. Dealing with and working through this guide will assist you to more effectively use Microsoft Excel and its Power Pivot and Power Query Editors because this guide is second to none in a series of Excel-related publications. Unit-1. By: Prof. K.V. PAVAN KUMAR, . Methodist College of . Engg. & Tech.,. Abids. , Hyd. . 1.. . Business Intelligence - Definition. : . . The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information. . M. Afdal, ST., . M.Kom. m.afdal@uin-suska.ac.id. Introduction :. Overall goals of this class. Students are able to analyze . digital business strategies using digital marketing . techniques such as SEO and SEM for the benefit of entrepreneurs..
Download Document
Here is the link to download the presentation.
"Data Analysis & Business Intelligence Made Easy with Excel Power Tools"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents