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A Platform for Networked Business Analytics BUSINESS INTELLIGENCE
BROCHURE A platform for networked business analytics BUSINESS INTELLIGENCE Infor® Birst's unique networked business analytics technology enables centralized and decentralized teams to work collaboratively by unifying Leveraging Birst with existing IT-managed enterprise data with user-owned data. Birst automates the enterprise BI platforms process of preparing data and adds an adaptive user experience for business users that works across any device. Birst networked business analytics technology also enables customers to This white paper will explain: leverage and extend their investment in ■ Birst’s primary design principles existing legacy business intelligence (BI) solutions. With the ability to directly connect ■ How Infor Birst® provides a complete unified data and analytics platform to Oracle Business Intelligence Enterprise ■ The key elements of Birst’s cloud architecture Edition (OBIEE) semantic layer, via ODBC, ■ An overview of Birst security and reliability. Birst can map the existing logical schema directly into Birst’s logical model, enabling Birst to join this Enterprise Data Tier with other data in the analytics fabric. Birst can also map to existing Business Objects Universes via web services and Microsoft Analysis Services Cubes and Hyperion Essbase cubes via MDX and extend those schemas, enabling true self-service for all users in the enterprise. 61% of Birst’s surveyed reference customers use Birst as their only analytics and BI standard.1 infor.com Contents Agile, governed analytics Birst high-performance in the era of -
Google Certified Professional - Cloud Architect.Exam.57Q
Google Certified Professional - Cloud Architect.exam.57q Number : GoogleCloudArchitect Passing Score : 800 Time Limit : 120 min https://www.gratisexam.com/ Google Certified Professional – Cloud Architect (English) https://www.gratisexam.com/ Testlet 1 Company Overview Mountkirk Games makes online, session-based, multiplayer games for the most popular mobile platforms. Company Background Mountkirk Games builds all of their games with some server-side integration, and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk’s current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting. Solution Concept Mountkirk Gamesis building a new game, which they expect to be very popular. They plan to deploy the game’s backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database. Technical Requirements Requirements for Game Backend Platform 1. Dynamically scale up or down based on game activity 2. Connect to a managed NoSQL database service 3. Run customize Linux distro Requirements for Game Analytics Platform 1. Dynamically scale up or down based on game activity 2. Process incoming data on the fly directly from the game servers 3. Process data that arrives late because of slow mobile networks 4. Allow SQL queries to access at least 10 TB of historical data 5. Process files that are regularly uploaded by users’ mobile devices 6. -
Create Live Dashboards with Google Data Studio
Make Your Library's Data Accessible and Usable Create Live Dashboards with Google Data Studio Kineret Ben-Knaan & Andrew Darby | University of Miami Libraries INTRODUCTION OBJECTIVES AND GOALS STRATEGY AND METHODS PROJECT STATUS This poster presents the implementation of a The aim of the project is to implement a shared and Customized dashboards have been built and shared with collaborative approach and solution for data gathering, straightforward data collection platform, which will harvest Our solution involves the following: several library departments. So far, we have connected data consolidation and most importantly, data multiple, diverse data sources and present statistics in a or imported manually the following isolated data sources ● Move to shared Google Sheets and Forms for any accessibility through a live connection to free Google clear and visually engaging manner. into Google Data Studio: Data Studio dashboards. local departmental data collection, then connect these Our key goals are: sheets to Google Data Studio, a free tool that allows Metric/Data Source by type of Google Data Studio Connector Units at the University of Miami Libraries (UML) have ● To facilitate the use of data from isolated data sources, users to create customized and shareable data long been engaged in data collection activities. Data from Metrics Data Sources Real-time connection Imported manually into visualization dashboards. and Systems & automatically Google Data Studio (on instructional sessions, consultations and all types of user not only to encourage evidence-based decision updated a weekly bases) ● Import and connect other library data sources to interactions have routinely been gathered. Other making, but also to better communicate how UM Instructional & Workshops Google Sheets Yes assessment measures, including surveys and user Libraries’ activities support student learning and faculty Google Data Studio. -
I Am a Data Engineer, Specializing in Data Analytics and Business Intelligence, with More Than 8+ Years of Experience and a Wide Range of Skills in the Industry
Dan Storms [email protected] linkedin.com/in/danstorms1 | 1-503-521-6477 About me I am a data engineer, specializing in data analytics and business intelligence, with more than 8+ years of experience and a wide range of skills in the industry. I have a passion for leveraging technology to help businesses meet their needs and better serve their customers. I bring a deep understanding of business analysis, data architecture, and data modeling with a focus in developing reporting solutions to drive business insights and actions. I believe continuous learning is critical to remaining relevant in technology and have completed degrees in both Finance and Business Information Systems. I have also completed certifications in AWS and Snowflake. Born and raised in Oregon and currently living in Taiwan, I enjoy any opportunity to explore the outdoors and am passionate about travel and exploring the world. Past Employers NIKE Personal Abilities Hard work and honesty forms my beliefs Critical Thinker Problem Solver Logical Visioner Deep experience in business Developed dashboards using Developed data pipelines using analysis, data architecture, and Tableau and PowerBI Apache Airflow, Apache Spark, data modeling and Snowflake Work Ethic Loyalty and Persistence Persuasive Leader Migrated Nike Digital Global Ops Experience streaming and Led analysis and development of BI to Snowflake transforming application data in KPIs in both healthcare and Nike Kafka and Snowflake digital Education & Credentials I believe that personal education never ends Bachelor -
Magic Quadrant for Business Intelligence and Analytics Platforms Published: 16 February 2017 ID: G00301340 Analyst(S): Rita L
2/21/2017 Gartner Reprint (https://www.gartner.com/home) LICENSED FOR DISTRIBUTION Magic Quadrant for Business Intelligence and Analytics Platforms Published: 16 February 2017 ID: G00301340 Analyst(s): Rita L. Sallam, Cindi Howson, Carlie J. Idoine, Thomas W. Oestreich, James Laurence Richardson, Joao Tapadinhas Summary The business intelligence and analytics platform market's shift from IT-led reporting to modern business-led analytics is now mainstream. Data and analytics leaders face countless choices: from traditional BI vendors that have closed feature gaps and innovated, to disruptors continuing to execute. Strategic Planning Assumptions By 2020, smart, governed, Hadoop/Spark-, search- and visual-based data discovery capabilities will converge into a single set of next-generation data discovery capabilities as components of modern BI and analytics platforms. By 2021, the number of users of modern BI and analytics platforms that are differentiated by smart data discovery capabilities will grow at twice the rate of those that are not, and will deliver twice the business value. By 2020, natural-language generation and artificial intelligence will be a standard feature of 90% of modern BI platforms. By 2020, 50% of analytic queries will be generated using search, natural-language processing or voice, or will be autogenerated. By 2020, organizations that offer users access to a curated catalog of internal and external data will realize twice the business value from analytics investments than those that do not. Through 2020, the number of citizen data scientists will grow five times faster than the number of data scientists. Market Definition/Description Visual-based data discovery, a defining feature of the modern business intelligence (BI) platform, began in around 2004 and has since transformed the market and new buying trends away from IT- centric system of record (SOR) reporting to business-centric agile analytics. -
Economic and Social Impacts of Google Cloud September 2018 Economic and Social Impacts of Google Cloud |
Economic and social impacts of Google Cloud September 2018 Economic and social impacts of Google Cloud | Contents Executive Summary 03 Introduction 10 Productivity impacts 15 Social and other impacts 29 Barriers to Cloud adoption and use 38 Policy actions to support Cloud adoption 42 Appendix 1. Country Sections 48 Appendix 2. Methodology 105 This final report (the “Final Report”) has been prepared by Deloitte Financial Advisory, S.L.U. (“Deloitte”) for Google in accordance with the contract with them dated 23rd February 2018 (“the Contract”) and on the basis of the scope and limitations set out below. The Final Report has been prepared solely for the purposes of assessment of the economic and social impacts of Google Cloud as set out in the Contract. It should not be used for any other purposes or in any other context, and Deloitte accepts no responsibility for its use in either regard. The Final Report is provided exclusively for Google’s use under the terms of the Contract. No party other than Google is entitled to rely on the Final Report for any purpose whatsoever and Deloitte accepts no responsibility or liability or duty of care to any party other than Google in respect of the Final Report and any of its contents. As set out in the Contract, the scope of our work has been limited by the time, information and explanations made available to us. The information contained in the Final Report has been obtained from Google and third party sources that are clearly referenced in the appropriate sections of the Final Report. -
Google-Forms-Table-Input.Pdf
Google Forms Table Input Tutelary Kalle misconjectured that norepinephrine picnicking calligraphy and disherit funnily. Inventible and perpendicular Emmy devilling her secureness overpopulating smokelessly or depolarize uncontrollably, is Josh gnathonic? Acidifiable and mediate Townie sneak slubberingly and single-foot his avowers high-up and bloodthirstily. You can use some code, but use this quantity is extremely useful at url and input table Google Forms Date more Time Robertorecchimurzoit. How god set wallpaper a Google Sheet insert a reliable data represent Data. 25 practical ways to use Google Forms in class school Ditch. To read add any question solve a google form using the plus button and wire change our question new to complex choice exceed The question screen shows Rows OptionsAnswer and Columns TopicQuestion that nothing be added in significant amount of example below shows a three-row otherwise four-column point question. How about insert text table in google forms for matrices qustions. Techniques using Add-ons Formulas Formatting Pivot Tables or Apps Script. Or the filetype operator Google searches a sequence of file formats see the skill in. To rest a SQLish syntax in fuel cell would return results from a such in Sheets. Google Form Responses Spreadsheet Has Blank Rows or No. How to seduce a Dynamic Chart in Google Newco Shift. My next available in input table, it against it with it and adds instrument to start to auto populate a document? The steps required to build a shiny app that mimicks a Google Form. I count a google form complete a multiple type question. Text Field React component Material-UI. -
The Essential Guide to Data Preparation
E-BOOK THE ESSENTIAL GUIDE TO DATA PREPARATION From exploring to wrangling, prep your way to better insights 6 BILLION 26 HOURS 8 HOURS “ “ HOURS are wasted in spreadsheets per week per week are spent repeating the same data tasks per year are spent working spreadsheets — “The State of Self-Service Data Preparation and Analysis Using Spreadsheets,” IDC CONTENTS 3 Setting Up for Success: 8 DATA PROFILING What’s the Big Deal About Data Prep? Spot Bad Data 4 From Exploring to Wrangling: 9 ETL (EXTRACT- The Major Steps of Data Prep TRANSFORM-LOAD) Aggregate Data LOOKING FOR 5 DATA EXPLORATION Discover Surprises 10 DATA WRANGLING A SMARTER Make Data Digestible WAY TO DO DATA PREP? 6 DATA CLEANSING 11 Faster, Smarter Insights: Eliminate Errors The Case for Analytic Process Automation Data preparation in most organizations is time-intensive and repetitive, leaving The Alteryx APA Platform: precious little time for analysis. But there’s DATA BLENDING 7 12 Why Use Alteryx for Data Prep? a way to get to better insights, faster. Join Datasets We’ll walk you through it step by step. SETTING UP FOR SUCCESS: THE IMPORTANCE OF DATA PREP WHAT’S BUT in a typical organization, data winds up living in silos, where it can’t fulfill its potential, and in spreadsheets, where it’s manipulated by hand. Silos and THE BIG DEAL manual preparation processes are like a ten-mile obstacle course lying between you and the insights that should be driving your business. ABOUT DATA If your organization is struggling with this lag time, you’re in good company, as 69% of businesses say they aren’t yet data-driven1 — but having other people PREPARATION? with you in a sinking boat doesn’t make it more fun to drown. -
Data Blending for Dummies, Alteryx Special Edition
These materials are © 2015 John Wiley & Sons, Inc. Any dissemination, distribution, or unauthorized use is strictly prohibited. Data Blending Alteryx Special Edition by Michael Wessler, OCP & CISSP These materials are © 2015 John Wiley & Sons, Inc. Any dissemination, distribution, or unauthorized use is strictly prohibited. Data Blending For Dummies®, Alteryx Special Edition Published by John Wiley & Sons, Inc. 111 River St. Hoboken, NJ 07030-5774 www.wiley.com Copyright © 2015 by John Wiley & Sons, Inc., Hoboken, New Jersey No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions. Trademarks: Wiley, the Wiley logo, For Dummies, the Dummies Man logo, A Reference for the Rest of Us!, The Dummies Way, Dummies.com, Making Everything Easier, and related trade dress are trademarks or registered trademarks of John Wiley & Sons, Inc. and/or its affiliates in the United States and other countries, and may not be used without written permission. Alteryx is a registered trade- mark of Alteryx, Inc. All other trademarks are the property of their respective owners. John Wiley & Sons, Inc., is not associated with any product or vendor mentioned in this book. -
User's Guide for Oracle Data Visualization
Oracle® Fusion Middleware User's Guide for Oracle Data Visualization 12c (12.2.1.4.0) E91572-02 September 2020 Oracle Fusion Middleware User's Guide for Oracle Data Visualization, 12c (12.2.1.4.0) E91572-02 Copyright © 2015, 2020, Oracle and/or its affiliates. Primary Author: Hemala Vivek Contributing Authors: Nick Fry, Christine Jacobs, Rosie Harvey, Stefanie Rhone Contributors: Oracle Business Intelligence development, product management, and quality assurance teams This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, then the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs (including any operating system, integrated software, any programs embedded, installed or activated on delivered hardware, and modifications of such programs) and Oracle computer documentation or other Oracle data delivered to or accessed by U.S. Government end users are "commercial computer software" or "commercial computer software documentation" pursuant to the applicable Federal Acquisition Regulation and agency-specific supplemental regulations. -
Practice 4 - Data Studio
Practice 4 - Data Studio Database Management Systems 1. Login Connect to Google Data Studio, login with your Google Account or create a new free Google Account. ● https://datastudio.google.com 1 2. Welcome report Click on “Welcome to Data Studio” and follow the tutorial. ● https://datastudio.google.com/reporting/0B5FF6JBKbNJxOWItcWo2SVVVeGc ● learn the basics of the Data Studio tool by copying the “Welcome report” and following the step- by-step instructions provided ● page 8, “Track report usage with Google Analytics”, can be safely skipped 3. Template report Preliminary steps to clone a template report Start from a provided template report to create new data visualizations. ● Return to the Data Studio home page ● Click on “All templates” to open the template gallery ● Choose the “World Population Data” template 2 ● Click on the “Use Template” button to confirm the selection, and accept the Terms and Conditions if you haven’t yet ● Click on the “Create Report” button to confirm the data source selection “[Sample] World Population Data 2005 - 2014” 3 ● If prompted, allow Google Drive access to Data Studio You have just created a new private report, based on the “World Population Data” template 4 Analyze the World Population data source ● Click on the “Add a page” button ● Add the following analyses to the new page of the report ● (Query A) – Add a table in the report to select the following data. Considering only year 2013, select the top-10 countries with the highest “internet %”, and their “population” and “internet users”. ● (Query B) – Add a pivot table in the report to select the following data. -
How Automation Can Help You Manage and Grow Your Ads Business
Ad Manager How automation can help you manage and grow your ads business Publishers continue to face challenges on multiple fronts, from business disruptions caused by COVID-19 to new regulations and changing technology. The concepts of “working from home” and “virtual teams” existed before, but are now a normal part of everyday life for more companies than ever “COVID-19 revenue losses requiring publishers to change the way they manage their operations and have been extensive, prompting redesign their workflows. massive furloughs and layoffs, but on the road to recovery, Publishers are changing the way they work — and to do it, they’re increasingly publishers will be looking for looking for insights into their ads business. In the last 12 months, we’ve seen ways to keep costs low without a 48% increase in reports created in Data Studio for Google Ad Manager*. further reducing staff. Now is That’s why we’ve been working on new ways to help our partners identify a prime time to get focused on opportunities and solve complex problems with Machine Learning. As you improving process and workflow navigate your own journey, this guide can help you save precious time and efficiency to reach a new level resources and create value with automation. of operational excellence.” Ad Monster, Dec ‘20 *Google Ad Manager data, May 2020 vs May 2021. Ad Manager Google Ad Manager can help publishers adapt and do more with less. From the beginning, automation has been a key focus for Ad Manager to help publishers create sustainable businesses with advertising.