B MS-EXCEL 2010 C Offi Ce Automation-MS-Excel 2010 H INTRODUCTION to a P MS-EXCEL 2010 T E R 1
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(BI) Using MS Excel Powerpivot
2018 ASCUE Proceedings Developing an Introductory Class in Business Intelligence (BI) Using MS Excel Powerpivot Dr. Sam Hijazi Trevor Curtis Texas Lutheran University 1000 West Court Street Seguin, Texas 78130 [email protected] Abstract Asking questions about your data is a constant application of all business organizations. To facilitate decision making and improve business performance, a business intelligence application must be an in- tegral part of everyday management practices. Microsoft Excel added PowerPivot and PowerPivot offi- cially to facilitate this process with minimum cost, knowing that many business people are already fa- miliar with MS Excel. This paper will design an introductory class to business intelligence (BI) using Excel PowerPivot. If an educator decides to adopt this paper for teaching an introductory BI class, students should have previ- ous familiarity with Excel’s functions and formulas. This paper will focus on four significant phases all students need to complete in a three-credit class. First, students must understand the process of achiev- ing small database normalization and how to bring these tables to Excel or develop them directly within Excel PowerPivot. This paper will walk the reader through these steps to complete the task of creating the normalization, along with the linking and bringing the tables and their relationships to excel. Sec- ond, an introduction to Data Analysis Expression (DAX) will be discussed. Introduction It is not that difficult to realize the increase in the amount of data we have generated in the recent memory of our existence as a human race. To realize that more than 90% of the world’s data has been amassed in the past two years alone (Vidas M.) is to realize the need to manage such volume. -
Calculated Field in Pivot Table Data Model
Calculated Field In Pivot Table Data Model Frostbitten and unjaundiced Eddie always counteracts d'accord and cowl his tana. New-fashioned and goniometrically,anarchical Ronny however never swop potentiometric his belittlement! Torre enunciatedRevolved Gordan harmonically tunneling or beat-up. or gimlets some doxologies In regular Pivot Tables, you can group numeric, data or text fields. Product of Reliable Bioreactors on Site. Here are exclusive to model in pivot calculated field table data model that data model and used when creating pivot. Power Query, Data model, DAX, Filters, Slicers, Conditional formats and beautiful charts. Eg if you are counting customers that have purchased and have years on rows. Why is this last part important? Depending on the source of data, relationships may or may not be created when the model is initially set up. This data is provided by Microsoft for informational purposes only as an aid to illustrate a concept. To use and limitations and share some limitations of calculated field in pivot table data model. Yeah, good points Derek. Date field, and use it to show a count of orders. Ins menu in the model in pivot calculated field list table that i mentioned earlier, we shall not. Please start a new test to continue. Displays all of the values in each column or series as a percentage of the total for the column or series. This is used to present users with ads that are relevant to them according to the user profile. Note: use the Insert Item button to quickly insert items when you type a formula. -
Sharing Files with Microsoft Office Users
Sharing Files with Microsoft Office Users Title: Sharing Files with Microsoft Office Users: Version: 1.0 First edition: November 2004 Contents Overview.........................................................................................................................................iv Copyright and trademark information........................................................................................iv Feedback.................................................................................................................................... iv Acknowledgments......................................................................................................................iv Modifications and updates......................................................................................................... iv File formats...................................................................................................................................... 1 Bulk conversion............................................................................................................................... 1 Opening files....................................................................................................................................2 Opening text format files.............................................................................................................2 Opening spreadsheets..................................................................................................................2 Opening presentations.................................................................................................................2 -
Speaker Services
Speaker Services Communications Management Body Language 1) Body Language Do you know the science of nonverbal communication? We will delve into how to use body language to communicate, influence and connect with others in a professional environment. Body language science can also help attendees understand how to decode emotions, uncover truth and increase the accuracy of workplace communications. Participants will be able to use these tips both inside and outside the office. This science-based talk will be lively and entertaining and have actionable tips. Communication — General 1) Mastering Communications 9–9:10 a.m. Introductions, Agenda Review, Meeting Expectations 9:10–10 a.m. Session 1: Mastering Communication Whether you are leading or managing others or just looking for more effective ways to get your point across, becoming a student of communication is the key. This session will give you the tips you need to deal with difficult people, influence others, resolve conflicts and confidently convey your message at the right time. Learning Objectives: • Identify your communication style. • Determine the best ways to communicate based on other styles. • Examine best practices for conflict resolution. 10–10:30 a.m. Communication Activity 10:30–10:45 a.m. Break 10:45–11:30 a.m. Session 2: Communication Breakdown ― It’s Always the Same (But It’s Avoidable!) A very high percentage of practice management and client-relations problems are caused by bad communication, from decreased productivity and mistakes to dissatisfied clients and malpractice actions. The growing number of communication channels only compounds the problem. Examine technologies and techniques that will help you improve internal and external communication, reduce your stress, improve your service, generate happier clients and lower malpractice risk. -
Fast Foreign-Key Detection in Microsoft SQL
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel Zhimin Chen Vivek Narasayya Surajit Chaudhuri Microsoft Research Microsoft Research Microsoft Research [email protected] [email protected] [email protected] ABSTRACT stored in a relational database, which they can import into Excel. Microsoft SQL Server PowerPivot for Excel, or PowerPivot for Other sources of data are text files, web data feeds or in general any short, is an in-memory business intelligence (BI) engine that tabular data range imported into Excel. enables Excel users to interactively create pivot tables over large data sets imported from sources such as relational databases, text files and web data feeds. Unlike traditional pivot tables in Excel that are defined on a single table, PowerPivot allows analysis over multiple tables connected via foreign-key joins. In many cases however, these foreign-key relationships are not known a priori, and information workers are often not be sophisticated enough to define these relationships. Therefore, the ability to automatically discover foreign-key relationships in PowerPivot is valuable, if not essential. The key challenge is to perform this detection interactively and with high precision even when data sets scale to hundreds of millions of rows and the schema contains tens of tables and hundreds of columns. In this paper, we describe techniques for fast foreign-key detection in PowerPivot and experimentally evaluate its accuracy, performance and scale on both synthetic benchmarks and real-world data sets. These techniques have been incorporated into PowerPivot for Excel. Figure 1. Example of pivot table in Excel. It enables multi- dimensional analysis over a single table. -
Building an Effective Data Warehousing for Financial Sector
Automatic Control and Information Sciences, 2017, Vol. 3, No. 1, 16-25 Available online at http://pubs.sciepub.com/acis/3/1/4 ©Science and Education Publishing DOI:10.12691/acis-3-1-4 Building an Effective Data Warehousing for Financial Sector José Ferreira1, Fernando Almeida2, José Monteiro1,* 1Higher Polytechnic Institute of Gaya, V.N.Gaia, Portugal 2Faculty of Engineering of Oporto University, INESC TEC, Porto, Portugal *Corresponding author: [email protected] Abstract This article presents the implementation process of a Data Warehouse and a multidimensional analysis of business data for a holding company in the financial sector. The goal is to create a business intelligence system that, in a simple, quick but also versatile way, allows the access to updated, aggregated, real and/or projected information, regarding bank account balances. The established system extracts and processes the operational database information which supports cash management information by using Integration Services and Analysis Services tools from Microsoft SQL Server. The end-user interface is a pivot table, properly arranged to explore the information available by the produced cube. The results have shown that the adoption of online analytical processing cubes offers better performance and provides a more automated and robust process to analyze current and provisional aggregated financial data balances compared to the current process based on static reports built from transactional databases. Keywords: data warehouse, OLAP cube, data analysis, information system, business intelligence, pivot tables Cite This Article: José Ferreira, Fernando Almeida, and José Monteiro, “Building an Effective Data Warehousing for Financial Sector.” Automatic Control and Information Sciences, vol. -
Extend Data Model Relationships Using Excel, Power Pivot, and DAX
Tutorial: Extend Data Model relationships using Excel, Power Pivot, and DAX Tutorial: Extend Data Model relationships using Excel, Power Pivot, and DAX Applies To: Excel 2013 Abstract: This is the second tutorial in a series. In the first tutorial, Import Data into and Create a Data Model, an Excel workbook was created using data imported from multiple sources. Note: This article describes data models in Excel 2013. However, the same data modeling and Power Pivot features introduced in Excel 2013 also apply to Excel 2016. In this tutorial, you use Power Pivot to extend the Data Model, create hierarchies, and build calculated fields from existing data to create new relationships between tables. The sections in this tutorial are the following: Add a relationship using Diagram View in Power Pivot Extend the Data Model using calculated columns Create a hierarchy Use hierarchies in PivotTables Checkpoint and Quiz At the end of this tutorial is a quiz you can take to test your learning. This series uses data describing Olympic Medals, hosting countries, and various Olympic sporting events. The tutorials in this series are the following: 1. Import Data into Excel , and Create a Data Model 2. Extend Data Model relationships using Excel, Power Pivot, and DAX 3. Create Map-based Power View Reports 4. Incorporate Internet Data, and Set Power View Report Defaults 5. Create Amazing Power View Reports - Part 1 6. Create Amazing Power View Reports - Part 2 We suggest you go through them in order. These tutorials use Excel 2013 with Power Pivot enabled. For more information on Excel 2013, click here. -
Managing the “Powerpivot for Sharepoint” Environment
Managing the “PowerPivot for SharePoint” Environment Melissa Coates Blog: sqlchick.com Twitter: @sqlchick SharePoint 3/16/2013 Saturday About Melissa Business Intelligence & Data Warehousing Developer Former Architect with From accountant Intellinet Charlotte, NC turned IT geek Blog: sqlchick.com Twitter: @sqlchick About Intellinet Management Consulting & Microsoft-centric Technology Services Portals & Business Cloud & Collaboration Intelligence Mobility 5,000+ projects Application Infrastructure since 1993 Development Strategy > Process > Business > Technology Agenda Managing the PowerPivot for SharePoint Environment Definitions Overview of Environment System Management Security Data Refresh Desktops Out of scope: Management Dashboard installation & Usage Reporting configuration People > Process > Technology Defining PowerPivot for SharePoint and Managed Self-Service BI PowerPivot for SharePoint PowerPivot for SharePoint provides server hosting of PowerPivot (Excel) workbooks & Power View reports within SharePoint. Supports Self-Service BI initiatives in an environment which can be monitored and secured. If PowerPivot data model remains in Excel: referred to as PowerPivot for Excel or 2013 Rebranded as xVelocity PowerPivot Add-in to Excel 2010 and 2013 In-memory solution for Self-Service BI data modeling needs Based on xVelocity (Vertipaq) Data Large volumes of data Modeling and Relationships Create “mashups” of data in Excel Data is embedded Introduces DAX expressions Schedule data refreshes in SharePoint Can do visualization -
Microsoft 365 Business Licensing Deck
Licensing Microsoft 365 Business Premium Joel Lachance Business Development Manager and Licensing Specialist Microsoft Managed Partner at BEMO Corp April 2020 New product names – effective April 21, 2020 The new product names go into effect on April 21, 2020. This is a change to the product name only, and there are no pricing or feature changes at this time. • Office 365 Business Essentials will become Microsoft 365 Business Basic. • Office 365 Business Premium will become Microsoft 365 Business Standard. • Microsoft 365 Business will become Microsoft 365 Business Premium. • Office 365 Business and Office 365 ProPlus will both become Microsoft 365 Apps. Where necessary we will use the “for business” and “for enterprise” labels to distinguish between the two. Note that the changes to these products will all happen automatically. Today, we’re simply announcing name changes. But these changes represent our ambition to continue to drive innovation in Microsoft 365 that goes well beyond what customers traditionally think of as Office. The Office you know, and love will still be there, but we’re excited about the new apps and services we’ve added to our subscriptions over the last few years and about the new innovations we’ll be adding in the coming months. What else is new – effective April 21, 2020 • Microsoft 365 Business Voice addons available for US customers • Azure Active Directory P1 is now included with Microsoft 365 Business Premium Microsoft 365 Business Premium (formerly Microsoft 365 Business) Microsoft 365 Business Premium is the hero offering for small and medium sized business customers. Microsoft 365 Business Premium is an integrated solution, that brings together: • the best-in-class productivity of Office 365 with • advanced security and • device management capabilities to help SMBs safeguard their business The purpose of this presentation is to compare Microsoft 365 Business Premium with other offerings in the Office 365 & Microsoft 365 family. -
Business Intelligence Tools
How Commercial Off-the-Shelf (COTS) Business Intelligence (BI) Tools Can Improve Financial Management Analysis Carolyn L. North, CPA, CGFM, CDFM/A, PMP R. Ross Hosse, CDFM Purpose of Business Intelligence Consolidate complex data into simple displays Engility Proprietary Information 2 Situational Awareness • Know your audience – Immediate group – Commander • Consider your tool sets – Boss hates canned report – Boss loves bubble charts Engility Proprietary Information 3 Tool Sets • Excel • Accounting Reports • Business Intelligence Tools Engility Proprietary Information 4 Creating Data Sets • Certain reports, exported spreadsheets, or pivot tables have blank cells – Easy for reading – Unsuitable for importing into other systems or Excel • Steps to make more useful – Download data – Remove any subtotals or totals – Remove blanks – Ensure each column has a title • Example • https://www.whitehouse.gov/omb/budget/Suppleme ntal – Table 9 Pivot Table Engility Proprietary Information 5 Creating Data Sets - Blanks • Filling in blank space – Select entire data range – Press Ctrl + G – Displays the “Go To” dialog – Choose Special – In Paste Special dialog, choose “Blanks”. Click OK – Type equals sign (=), then the up arrow – Ctrl + Enter – Select entire data range – Ctrl C to copy – Paste dropdown, select values Engility Proprietary Information 6 VLOOKUP Function • VLOOKUP function – Searches first column of a range of cells – Returns value from any cell on the same row of the range – 1st Step is to create your lookup table – Ensure table is sorted -
Pivot Tables
PIVOT TABLES In data processing, a pivot table is a data summarization tool found in data visualization programs such as spreadsheets or business intelligence software. Among other functions, a pivot-table can automatically sort, count total or give the average of the data stored in one table or spreadsheet. It displays the results in a second table (called a "pivot table") showing the summarized data. Pivot tables can be seen as a simplification of the more complete and complex. Pivot tables are my best friend. GIS ANAYSIS NEEDED: The Panther Focus Area represents lands that are crucial for the Florida panther’s survival. Currently, the breeding population of the Florida panther is limited to south of the Caloosahatchee River. As urban encroachment increases and the sea levels rise, the FL panther is expected to naturally migrate to the Expansion Zone. Information Needed Who are the large landowners by County? How many acres do they own? How much of their land is currently protected? • Expansion Zone • Expansion Zone • Protected Lands • Expansion Zone • Protected Lands • Parcel Data Four Counties Charlotte Glades Highlands Lee 4,670 Parcels 2,281 Charlotte 2,083 Glades 137 Highlands 169 Lee 2,066 Owners 981 Charlotte 976 Glades 85 Highlands 30 Lee Protected 717 Protected 28 Partially 3,925 Unprotected “COUNTY” = ‘Charlotte’ and “PROTECTED” = ‘Protected” “COUNTY” = ‘Charlotte’ and “PROTECTED” = ‘Partially Protected” “COUNTY” = ‘Charlotte’ and “PROTECTED” = ‘Unprotected” 4 Counties x (protected, partially protected, and unprotected) -
Microsoft Excel 2013: Building Data Models with Powerpivot
Microsoft Excel 2013: Building Data Models with PowerPivot Alberto Ferrari and Marco Russo Copyright © 2013 by Alberto Ferrari and Marco Russo All rights reserved. No part of the contents of this book may be reproduced or transmitted in any form or by any means without the written permission of the publisher. ISBN: 978-0-7356-7634-3 Third Printing: December 2014 Printed and bound in the United States of America. Microsoft Press books are available through booksellers and distributors worldwide. If you need support related to this book, email Microsoft Press Book Support at [email protected]. Please tell us what you think of this book at http://www.microsoft.com/learning/booksurvey. Microsoft and the trademarks listed at http://www.microsoft.com/about/legal/en/us/IntellectualProperty/ Trademarks/EN-US.aspx are trademarks of the Microsoft group of companies. All other marks are property of their respective owners. The example companies, organizations, products, domain names, email addresses, logos, people, places, and events depicted herein are fi ctitious. No association with any real company, organization, product, domain name, email address, logo, person, place, or event is intended or should be inferred. This book expresses the author’s views and opinions. The information contained in this book is provided without any express, statutory, or implied warranties. Neither the authors, O’Reilly Media, Inc., Microsoft Corporation, nor its resellers, or distributors will be held liable for any damages caused or alleged to be caused either