The Big Picture: An Introduction to Data Warehousing

Size: px
Start display at page:

Download "The Big Picture: An Introduction to Data Warehousing"

Transcription

1 Chapter 1 The Big Picture: A Itroductio to Data Warehousig Itroductio I 1977, Jimmy Carter was Presidet of the Uited States, Star Wars hit the big scree, ad Apple Computer, Ic. itroduced the world to the first persoal computer. Four years later, Roald Reaga was presidet, Price Charles ad Lady Diaa married, ad IBM bega sellig its IBM PC. From that begiig, computig power started movig from the maiframe to the desktop. Soo thereafter, spreadsheets ad word processig applicatios bega their jourey to replace clipboards ad typewriters. By 1985, Mikhail Gorbachev was the leader of the Soviet Uio, New Coke hit the shelves, ad data was goig everywhere. Eve iside the maiframe computers, data was fidig its ow home. Supervisors, maagers, ad executives alike were o loger able to look at a sigle clipboard to fid out how the busiess was performig. The data was hopelessly etreched i applicatios ad ooks ad craies that would ever agai see the light of day. Such was the origi of Decisio Support Systems.

2 Buildig ad Maitaiig a Data Warehouse Decisio Support Systems Decisio Support Systems allowed maagers, supervisors, ad executives to oce agai see the clipboard with all its iformatio. The iformatio, which previously had bee o a clipboard, had become Ralph Kimball was a co-creator of the Xerox Star Workstatio, the world s first commercially viable GUI applicatio. Ralph was the fouder ad CEO of Red Brick Systems, the group which created a extremely fast RDBMS targeted specifically for data warehousig. Whe he authored The Data Warehouse Lifecycle Toolkit, Ralph itroduced the Dimesioal Data Model (discussed i Chapter 5, Desig). a report, either prited o paper or displayed o a scree. Oe report revealed oe sigle busiess area. Aother report revealed a differet busiess area. By 1992, Widows 3.1 was i the stores ad Ralph Kimball ad Bill Imo were figurig out how to gather data from two busiess areas ad figurig out how to warehouse the data of a eterprise (Figure 1.1). Kimball ad Imo, workig separately, arrived at a commo set of guidelies (or priciples). These priciples are: Subject Orietatio: Data will be grouped by subject, rather tha author, departmet, or physical locatio. So, all maufacturig data goes together, ad the sales data, ad the promotios data, etc., regardless of where it came from. Data Itegratio: Eve though data comes from separate applicatios, departmets, etc., differeces should be smoothed out so they have the same look ad feel. Bill Imo was the creator of the Corporate Iformatio Factory ad Govermet Iformatio Factory. I so doig, Bill also established may of the priciples of Data Warehousig. Form: Whe two data elemets (e.g., phoe umbers) have differet layouts (e.g., ad (123) ), oe layout will be superimposed o both of them. Fuctio: Whe two data elemets idetify the same thig (e.g., a hammer) with two differet ames (e.g., part 32G ad part B49), these two ames will be replaced with oe ame. Grai: Whe two data elemets apply differet hierarchies (e.g., regio ad district) to the same thig, or differet levels of detail (e.g., miles ad feet), the two data elemets will be resolved to the same level of hierarchy or detail. Novolatility: Ulike the data i operatioal applicatios, which is discarded oce the compay is fiished usig it, the data i a data warehouse will remai i the warehouse.

3 The Big Picture Source Data Operatioal Applicatio Operatioal Applicatio Operatioal Applicatio Figure 1.1 The big picture. Data Acquisitio ad Itegratio ETL ELT Data Quality Repository Data Quality Data Quality Measuremets Desig Relatioal Relatioal Relatioal RDBMS BI Reportig Predefied Reports Iteractive Reports OLAP Metadata Repository Metadata Metadata Applicatio(s)

4 Buildig ad Maitaiig a Data Warehouse Time Variat: All data has a cotext at a momet i time. A data warehouse will keep that cotext. So, all data from 1995 will retai its cotext withi Oe Versio of the Truth: The proliferatio of data i the 1980s ad 1990s yielded may copies of the same data. Oly the oe, true gold, stadard copy of each data elemet would be icluded i a data warehouse. Log-Term Ivestmet: A data warehouse should be flexible eough to absorb chages i the compay ad the world, ad scalable eough to grow with the compay. By doig so, a data warehouse ca add value to the compay for a log time. Dimesioal ad Third Normal Form Data Models Kimball ad Imo arrived at the same set of priciples, yet each used completely differet desigs. Kimball created the Dimesioal Data Model (Figure 1.2). Also kow as the Star Schema (because it resembles a star), a Dimesioal Data Model has a distict shape. I the middle is a Fact table (a Fact is a evet, trasactio, or somethig that happes at a sigle momet i time). Surroudig the Fact table are Dimesio tables. Each Dimesio table holds all the permutatios of a sigle hierarchy of the compay (e.g., geography: city, couty, state, regio, district, etc.; or time: secod, miute, hour, day, fiscal week, payroll week, fiscal quarter, etc.). Bill Imo preferred the Third Normal Form Data Model (Figure 1.3). Rather tha capture hierarchies ad relatioships i Dimesio tables, the Third Normal Form allowed the data to have the same flexibility as the compay. Withi the data warehousig commuity, a debate emerged. Which was better, the Dimesioal Data Model or the Third Normal Form data model? By the twety-first cetury, the aswer was clear both. Both desigs had their stregths ad their weakesses. Rather tha apply a oe size fits all midset, data warehouse desigers leared to apply the stregths ad avoid the weakesses of both i each situatio. Storig the Data While the debate betwee Dimesioal Data Model ad Third Normal Form Data Model was still goig o, the data warehousig commuity was also decidig how to physically store the data. Three methods were foud: a cetral Eterprise Data Warehouse (EDW), several distributed Data Marts, ad a Operatioal Data Store (ODS). The cetral EDW held all the data from all the busiess subjects i oe database (Figure 1.4). The Data Mart held oe subject area oly (Figure 1.5). If aother

5 The Big Picture subject area were eeded, the that would be aother Data Mart. The best method of feedig data to a Data Mart was to itegrate that data ito a Eterprise Data Warehouse first ad the sed the data o to its Data Mart. The Operatioal Data Store (Figure 1.6) lives o the other side of the EDW ad retrieves operatioal data from the busiess, itegrates the data, ad stores the data i its ow database. Ulike the EDW, the data i a ODS is volatile. Volatile meas the ODS oly stores the value for a data elemet (e.g., balace o had) that is true at real-time (e.g., balace o had as of right ow). This is differet from the ovolatile data i a EDW (e.g., balace o had for every day for the past two years). Whe a ODS is preset, the EDW ca gather its data from the ODS rather tha from the busiess. There s o eed to ask the busiess the same questio twice. Time Dimesio Date Time Week Moth Year Thig Dimesio Thig Thig Name Thig Weight Thig Height Trasactio Evet Place Dimesio Place Place Name Place Address Place Purpose Perso Dimesio Perso Perso Name Perso Class Perso Type Time Thig Place Perso Equipmet Equipmet Dimesio Equipmet Equipmet Name Equipmet Descriptio Equipmet Purpose Figure 1.2 Dimesioal Data Model.

6 Buildig ad Maitaiig a Data Warehouse Trasactio Header Trasactio_ID Trasactio Time Date Time Trasactio Thig Thig Trasactio Place Place Caledar Year Year Time of Day Time Thig Thig Place Place Caledar Moth Moth Weight Height Address Thig Weight Thig Height Place Address Caledar Week Week Name Caledar Date Date Thig Name Place Name Equipmet Name Perso Name Figure 1.3 Third Normal Form Data Model. Trasactio Equipmet Trasactio Perso Equipmet Perso Equipmet Equipmet Perso Perso Class Purpose Place Purpose Equipmet Purpose Descriptio Equipmet Descriptio Perso Class Type Perso Type

7 The Big Picture EDW Purchasig Persoel Logistics Marketig Sales Maufacturig Figure 1.4 Eterprise Data Warehouse (EDW). The set of applicatios that gather data from the busiess ad brig that data ito the data warehouse are called extract, trasform, ad load (ETL) applicatios. The ETL aalyst is resposible for makig the data warehouse philosophy happe. Data Itegratio: ETL applicatios itegrate the data from the busiess, regardless of its origi, form, fuctio, or grai. Novolatility: ETL applicatios itroduce ew data without destroyig old data. Time Variat: ETL applicatios store the data with a key structure that poits to a timeframe. Oe Versio of the Truth: ETL applicatios referece oly the oe gold stadard for every data elemet. Log-Term Ivestmet: Populate data ito a data warehouse, realizig the log-term flexibility of the data warehouse desig. Data Availability The data iside a data warehouse is of o use to a busiess without a way to use that data. Busiess Itelligece Reportig, also kow as BI Reportig, is a set of applicatios by which a busiess ca haress data ad iformatio i a data warehouse. Data is idividual bits of facts ad figures. By itself, data tells the busiess very little. Iformatio is the compilatio of idividual bits of data ito a observatio or coclusio, which adds value to the busiess. BI Reportig icludes various methods by which data ad iformatio ca be available to the busiess. Predefied reports, a staple of all iformatio systems, ca dissemiate aswers to the same questios (e.g., who, how may, where) o a daily basis. Iteractive reports allow the busiess to ask a ew questio, or revise a existig questio, ad the receive the aswer. OLAP (olie aalytical processig)

8 Buildig ad Maitaiig a Data Warehouse DataMart EDW DataMart Marketig Purchasig Persoel Marketig Sales Logistics Maufacturig Logistics DataMart Purchasig Figure 1.5 EDW ad Data Marts. Busiess Uit ODS Operatioal Applicatio Marketig EDW Purchasig Persoel Logistics Marketig Sales Maufacturig Figure 1.6 Operatioal Data Store.

9 The Big Picture reportig allows busiess aalysts to drill up ad dow, left ad right i stream of cosciousess aalysis. Usig the Iteret, all of these reportig optios are available olie. The ext frotier of BI Reportig is data miig, the search for correlatios i the busiess, which caot be see. Metadata provides the backgroud ad cotext, which gives cocrete meaig to the facts ad figures i a data warehouse. Every four years, o the first Tuesday of November, all Americas use the same metadata the umber of votig precicts reportig. With 50 percet of the precicts reportig, o oe believes the result. With 75 percet of the precicts reportig, we begi to take the result seriously. Whe 90 percet of the precicts have reported their umbers, we tur the TV off ad go to bed; the electio is over. Metadata i a data warehouse works the same way. How complete is the data? What is the formula for that umber? Whe did the ew umbers come i? Like the umber of precicts reportig, metadata i a data warehouse gives meaig ad cotext to data. Moitorig Data Quality Fially, data quality is the cotiuous effort to moitor the accuracy, completeess, ad cofidece of the data i a data warehouse. The world is full of surprises, ad some of them affect the data i a data warehouse. Oly the aïve assume the busiess ad its data warehouse live i a perfect world where othig goes wrog. Diligetly moitorig data before it eters the data warehouse, the goal is to deliver data ad iformatio from which a busiess ca derive its strategic ad tactical decisios with cofidece. The explosio of data ad iformatio truly was a explosio. The facts ad figures of busiess foud their ow homes i accoutig systems, ivetory databases, ad a myriad of home-grow applicatios, all of which help ru the busiess. Data warehousig gathers ad itegrates that disparate data so the busiess, through its data, ca be see i oe place.

10

Enhancing Oracle Business Intelligence with cubus EV How users of Oracle BI on Essbase cubes can benefit from cubus outperform EV Analytics (cubus EV)

Enhancing Oracle Business Intelligence with cubus EV How users of Oracle BI on Essbase cubes can benefit from cubus outperform EV Analytics (cubus EV) Ehacig Oracle Busiess Itelligece with cubus EV How users of Oracle BI o Essbase cubes ca beefit from cubus outperform EV Aalytics (cubus EV) CONTENT 01 cubus EV as a ehacemet to Oracle BI o Essbase 02

More information

*The most important feature of MRP as compared with ordinary inventory control analysis is its time phasing feature.

*The most important feature of MRP as compared with ordinary inventory control analysis is its time phasing feature. Itegrated Productio ad Ivetory Cotrol System MRP ad MRP II Framework of Maufacturig System Ivetory cotrol, productio schedulig, capacity plaig ad fiacial ad busiess decisios i a productio system are iterrelated.

More information

CCH Accountants Starter Pack

CCH Accountants Starter Pack CCH Accoutats Starter Pack We may be a bit smaller, but fudametally we re o differet to ay other accoutig practice. Util ow, smaller firms have faced a stark choice: Buy cheaply, kowig that the practice

More information

To c o m p e t e in t o d a y s r e t a i l e n v i r o n m e n t, y o u n e e d a s i n g l e,

To c o m p e t e in t o d a y s r e t a i l e n v i r o n m e n t, y o u n e e d a s i n g l e, Busiess Itelligece Software for Retail To c o m p e t e i t o d a y s r e t a i l e v i r o m e t, y o u e e d a s i g l e, comprehesive view of your busiess. You have to tur the decisio-makig of your

More information

Bio-Plex Manager Software

Bio-Plex Manager Software Multiplex Suspesio Array Bio-Plex Maager Software Extract Kowledge Faster Move Your Research Forward Bio-Rad cotiues to iovate where it matters most. With Bio-Plex Maager 5.0 software, we offer valuable

More information

INDEPENDENT BUSINESS PLAN EVENT 2016

INDEPENDENT BUSINESS PLAN EVENT 2016 INDEPENDENT BUSINESS PLAN EVENT 2016 The Idepedet Busiess Pla Evet ivolves the developmet of a comprehesive proposal to start a ew busiess. Ay type of busiess may be used. The Idepedet Busiess Pla Evet

More information

CCH CRM Books Online Software Fee Protection Consultancy Advice Lines CPD Books Online Software Fee Protection Consultancy Advice Lines CPD

CCH CRM Books Online Software Fee Protection Consultancy Advice Lines CPD Books Online Software Fee Protection Consultancy Advice Lines CPD Books Olie Software Fee Fee Protectio Cosultacy Advice Advice Lies Lies CPD CPD facig today s challeges As a accoutacy practice, maagig relatioships with our cliets has to be at the heart of everythig

More information

CREATIVE MARKETING PROJECT 2016

CREATIVE MARKETING PROJECT 2016 CREATIVE MARKETING PROJECT 2016 The Creative Marketig Project is a chapter project that develops i chapter members a aalytical ad creative approach to the marketig process, actively egages chapter members

More information

facing today s challenges As an accountancy practice, managing relationships with our clients has to be at the heart of everything we do.

facing today s challenges As an accountancy practice, managing relationships with our clients has to be at the heart of everything we do. CCH CRM cliet relatios facig today s challeges As a accoutacy practice, maagig relatioships with our cliets has to be at the heart of everythig we do. That s why our CRM system ca t be a bolt-o extra it

More information

ODBC. Getting Started With Sage Timberline Office ODBC

ODBC. Getting Started With Sage Timberline Office ODBC ODBC Gettig Started With Sage Timberlie Office ODBC NOTICE This documet ad the Sage Timberlie Office software may be used oly i accordace with the accompayig Sage Timberlie Office Ed User Licese Agreemet.

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

Analyzing Longitudinal Data from Complex Surveys Using SUDAAN

Analyzing Longitudinal Data from Complex Surveys Using SUDAAN Aalyzig Logitudial Data from Complex Surveys Usig SUDAAN Darryl Creel Statistics ad Epidemiology, RTI Iteratioal, 312 Trotter Farm Drive, Rockville, MD, 20850 Abstract SUDAAN: Software for the Statistical

More information

CHAPTER 3 THE TIME VALUE OF MONEY

CHAPTER 3 THE TIME VALUE OF MONEY CHAPTER 3 THE TIME VALUE OF MONEY OVERVIEW A dollar i the had today is worth more tha a dollar to be received i the future because, if you had it ow, you could ivest that dollar ad ear iterest. Of all

More information

Output Analysis (2, Chapters 10 &11 Law)

Output Analysis (2, Chapters 10 &11 Law) B. Maddah ENMG 6 Simulatio 05/0/07 Output Aalysis (, Chapters 10 &11 Law) Comparig alterative system cofiguratio Sice the output of a simulatio is radom, the comparig differet systems via simulatio should

More information

client communication

client communication CCH Portal cliet commuicatio facig today s challeges Like most accoutacy practices, we ow use email for most cliet commuicatio. It s quick ad easy, but we do worry about the security of sesitive data.

More information

Lesson 17 Pearson s Correlation Coefficient

Lesson 17 Pearson s Correlation Coefficient Outlie Measures of Relatioships Pearso s Correlatio Coefficiet (r) -types of data -scatter plots -measure of directio -measure of stregth Computatio -covariatio of X ad Y -uique variatio i X ad Y -measurig

More information

PUBLIC RELATIONS PROJECT 2016

PUBLIC RELATIONS PROJECT 2016 PUBLIC RELATIONS PROJECT 2016 The purpose of the Public Relatios Project is to provide a opportuity for the chapter members to demostrate the kowledge ad skills eeded i plaig, orgaizig, implemetig ad evaluatig

More information

CCH Practice Management

CCH Practice Management 1 CCH Practice Maagemet practice maagemet facig today s challeges Every year it seems we face more regulatios, growig cliet expectatios ad lower margis o our compliace work. It s a tough time for a accoutig

More information

Agency Relationship Optimizer

Agency Relationship Optimizer Decideware Developmet Agecy Relatioship Optimizer The Leadig Software Solutio for Cliet-Agecy Relatioship Maagemet supplier performace experts scorecards.deploymet.service decide ware Sa Fracisco Sydey

More information

Page 1. Real Options for Engineering Systems. What are we up to? Today s agenda. J1: Real Options for Engineering Systems. Richard de Neufville

Page 1. Real Options for Engineering Systems. What are we up to? Today s agenda. J1: Real Options for Engineering Systems. Richard de Neufville Real Optios for Egieerig Systems J: Real Optios for Egieerig Systems By (MIT) Stefa Scholtes (CU) Course website: http://msl.mit.edu/cmi/ardet_2002 Stefa Scholtes Judge Istitute of Maagemet, CU Slide What

More information

iprox sensors iprox inductive sensors iprox programming tools ProxView programming software iprox the world s most versatile proximity sensor

iprox sensors iprox inductive sensors iprox programming tools ProxView programming software iprox the world s most versatile proximity sensor iprox sesors iprox iductive sesors iprox programmig tools ProxView programmig software iprox the world s most versatile proximity sesor The world s most versatile proximity sesor Eato s iproxe is syoymous

More information

GCSE STATISTICS. 4) How to calculate the range: The difference between the biggest number and the smallest number.

GCSE STATISTICS. 4) How to calculate the range: The difference between the biggest number and the smallest number. GCSE STATISTICS You should kow: 1) How to draw a frequecy diagram: e.g. NUMBER TALLY FREQUENCY 1 3 5 ) How to draw a bar chart, a pictogram, ad a pie chart. 3) How to use averages: a) Mea - add up all

More information

A Balanced Scorecard

A Balanced Scorecard A Balaced Scorecard with VISION A Visio Iteratioal White Paper Visio Iteratioal A/S Aarhusgade 88, DK-2100 Copehage, Demark Phoe +45 35430086 Fax +45 35434646 www.balaced-scorecard.com 1 1. Itroductio

More information

Mathematical goals. Starting points. Materials required. Time needed

Mathematical goals. Starting points. Materials required. Time needed Level A1 of challege: C A1 Mathematical goals Startig poits Materials required Time eeded Iterpretig algebraic expressios To help learers to: traslate betwee words, symbols, tables, ad area represetatios

More information

Domain 1 Components of the Cisco Unified Communications Architecture

Domain 1 Components of the Cisco Unified Communications Architecture Maual CCNA Domai 1 Compoets of the Cisco Uified Commuicatios Architecture Uified Commuicatios (UC) Eviromet Cisco has itroduced what they call the Uified Commuicatios Eviromet which is used to separate

More information

InventoryControl. The Complete Inventory Tracking Solution for Small Businesses

InventoryControl. The Complete Inventory Tracking Solution for Small Businesses IvetoryCotrol The Complete Ivetory Trackig Solutio for Small Busiesses Regular Logo 4C Productivity Solutios for Small Busiesses Logo Outlie Get i cotrol of your ivetory with Wasp Ivetory Cotrol the complete

More information

Pre-Suit Collection Strategies

Pre-Suit Collection Strategies Pre-Suit Collectio Strategies Writte by Charles PT Phoeix How to Decide Whether to Pursue Collectio Calculatig the Value of Collectio As with ay busiess litigatio, all factors associated with the process

More information

IT Support. 020 8269 6878 n www.premierchoiceinternet.com n support@premierchoiceinternet.com. 30 Day FREE Trial. IT Support from 8p/user

IT Support. 020 8269 6878 n www.premierchoiceinternet.com n support@premierchoiceinternet.com. 30 Day FREE Trial. IT Support from 8p/user IT Support IT Support Premier Choice Iteret has bee providig reliable, proactive & affordable IT Support solutios to compaies based i Lodo ad the South East of Eglad sice 2002. Our goal is to provide our

More information

Case Study. Normal and t Distributions. Density Plot. Normal Distributions

Case Study. Normal and t Distributions. Density Plot. Normal Distributions Case Study Normal ad t Distributios Bret Halo ad Bret Larget Departmet of Statistics Uiversity of Wiscosi Madiso October 11 13, 2011 Case Study Body temperature varies withi idividuals over time (it ca

More information

Example 2 Find the square root of 0. The only square root of 0 is 0 (since 0 is not positive or negative, so those choices don t exist here).

Example 2 Find the square root of 0. The only square root of 0 is 0 (since 0 is not positive or negative, so those choices don t exist here). BEGINNING ALGEBRA Roots ad Radicals (revised summer, 00 Olso) Packet to Supplemet the Curret Textbook - Part Review of Square Roots & Irratioals (This portio ca be ay time before Part ad should mostly

More information

Full Lifecycle Project Cost Controls

Full Lifecycle Project Cost Controls Full Lifecycle Project Cost Cotrols EcoSys EPC is a ext geeratio plaig ad cost cotrols software solutio deliverig best practices for full lifecycle project cost maagemet i a itegrated, easy-to-use web

More information

Present Value Factor To bring one dollar in the future back to present, one uses the Present Value Factor (PVF): Concept 9: Present Value

Present Value Factor To bring one dollar in the future back to present, one uses the Present Value Factor (PVF): Concept 9: Present Value Cocept 9: Preset Value Is the value of a dollar received today the same as received a year from today? A dollar today is worth more tha a dollar tomorrow because of iflatio, opportuity cost, ad risk Brigig

More information

Domain 1: Configuring Domain Name System (DNS) for Active Directory

Domain 1: Configuring Domain Name System (DNS) for Active Directory Maual Widows Domai 1: Cofigurig Domai Name System (DNS) for Active Directory Cofigure zoes I Domai Name System (DNS), a DNS amespace ca be divided ito zoes. The zoes store ame iformatio about oe or more

More information

Making training work for your business

Making training work for your business Makig traiig work for your busiess Itegratig core skills of laguage, literacy ad umeracy ito geeral workplace traiig makes sese. The iformatio i this pamphlet will help you pla for ad build a successful

More information

CCH Accounts Production

CCH Accounts Production CCH Accouts Productio accouts productio facig today s challeges Preparig statutory ad fiacial accouts is a core activity for our practice, as it is for may professioal firms. Although legislatio ad accoutig

More information

Engineering Data Management

Engineering Data Management BaaERP 5.0c Maufacturig Egieerig Data Maagemet Module Procedure UP128A US Documetiformatio Documet Documet code : UP128A US Documet group : User Documetatio Documet title : Egieerig Data Maagemet Applicatio/Package

More information

DAME - Microsoft Excel add-in for solving multicriteria decision problems with scenarios Radomir Perzina 1, Jaroslav Ramik 2

DAME - Microsoft Excel add-in for solving multicriteria decision problems with scenarios Radomir Perzina 1, Jaroslav Ramik 2 Itroductio DAME - Microsoft Excel add-i for solvig multicriteria decisio problems with scearios Radomir Perzia, Jaroslav Ramik 2 Abstract. The mai goal of every ecoomic aget is to make a good decisio,

More information

Professional Networking

Professional Networking Professioal Networkig 1. Lear from people who ve bee where you are. Oe of your best resources for etworkig is alumi from your school. They ve take the classes you have take, they have bee o the job market

More information

Digital Enterprise Unit. White Paper. Web Analytics Measurement for Responsive Websites

Digital Enterprise Unit. White Paper. Web Analytics Measurement for Responsive Websites Digital Eterprise Uit White Paper Web Aalytics Measuremet for Resposive Websites About the Authors Vishal Machewad Vishal Machewad has over 13 years of experiece i sales ad marketig, havig worked as a

More information

G r a d e. 2 M a t h e M a t i c s. statistics and Probability

G r a d e. 2 M a t h e M a t i c s. statistics and Probability G r a d e 2 M a t h e M a t i c s statistics ad Probability Grade 2: Statistics (Data Aalysis) (2.SP.1, 2.SP.2) edurig uderstadigs: data ca be collected ad orgaized i a variety of ways. data ca be used

More information

Flood Emergency Response Plan

Flood Emergency Response Plan Flood Emergecy Respose Pla This reprit is made available for iformatioal purposes oly i support of the isurace relatioship betwee FM Global ad its cliets. This iformatio does ot chage or supplemet policy

More information

Baan Service Master Data Management

Baan Service Master Data Management Baa Service Master Data Maagemet Module Procedure UP069A US Documetiformatio Documet Documet code : UP069A US Documet group : User Documetatio Documet title : Master Data Maagemet Applicatio/Package :

More information

A Podiatrists Guide to Earning More, Working Less and Enjoying What You Do Each Day. Tyson E. Franklin

A Podiatrists Guide to Earning More, Working Less and Enjoying What You Do Each Day. Tyson E. Franklin A Podiatrists Guide to Earig More, Workig Less ad Ejoyig What You Do Each Day Tyso E. Frakli MOVING OUT OF YOUR COMFORT ZONE 1Years ago, if someoe had told me I d be livig i Cairs oe day I would have laughed.

More information

Business Rules-Driven SOA. A Framework for Multi-Tenant Cloud Computing

Business Rules-Driven SOA. A Framework for Multi-Tenant Cloud Computing Lect. Phd. Liviu Gabriel CRETU / SPRERS evet Traiig o software services, Timisoara, Romaia, 6-10 dec 2010 www.feaa.uaic.ro Busiess Rules-Drive SOA. A Framework for Multi-Teat Cloud Computig Lect. Ph.D.

More information

Introducing Your New Wells Fargo Trust and Investment Statement. Your Account Information Simply Stated.

Introducing Your New Wells Fargo Trust and Investment Statement. Your Account Information Simply Stated. Itroducig Your New Wells Fargo Trust ad Ivestmet Statemet. Your Accout Iformatio Simply Stated. We are pleased to itroduce your ew easy-to-read statemet. It provides a overview of your accout ad a complete

More information

1 Correlation and Regression Analysis

1 Correlation and Regression Analysis 1 Correlatio ad Regressio Aalysis I this sectio we will be ivestigatig the relatioship betwee two cotiuous variable, such as height ad weight, the cocetratio of a ijected drug ad heart rate, or the cosumptio

More information

leasing Solutions We make your Business our Business

leasing Solutions We make your Business our Business if you d like to discover how Bp paribas leasig Solutios Ca help you to achieve your goals please get i touch leasig Solutios We make your Busiess our Busiess We look forward to hearig from you you ca

More information

Math C067 Sampling Distributions

Math C067 Sampling Distributions Math C067 Samplig Distributios Sample Mea ad Sample Proportio Richard Beigel Some time betwee April 16, 2007 ad April 16, 2007 Examples of Samplig A pollster may try to estimate the proportio of voters

More information

PENSION ANNUITY. Policy Conditions Document reference: PPAS1(7) This is an important document. Please keep it in a safe place.

PENSION ANNUITY. Policy Conditions Document reference: PPAS1(7) This is an important document. Please keep it in a safe place. PENSION ANNUITY Policy Coditios Documet referece: PPAS1(7) This is a importat documet. Please keep it i a safe place. Pesio Auity Policy Coditios Welcome to LV=, ad thak you for choosig our Pesio Auity.

More information

INVESTMENT PERFORMANCE COUNCIL (IPC) Guidance Statement on Calculation Methodology

INVESTMENT PERFORMANCE COUNCIL (IPC) Guidance Statement on Calculation Methodology Adoptio Date: 4 March 2004 Effective Date: 1 Jue 2004 Retroactive Applicatio: No Public Commet Period: Aug Nov 2002 INVESTMENT PERFORMANCE COUNCIL (IPC) Preface Guidace Statemet o Calculatio Methodology

More information

Hypothesis testing. Null and alternative hypotheses

Hypothesis testing. Null and alternative hypotheses Hypothesis testig Aother importat use of samplig distributios is to test hypotheses about populatio parameters, e.g. mea, proportio, regressio coefficiets, etc. For example, it is possible to stipulate

More information

1. C. The formula for the confidence interval for a population mean is: x t, which was

1. C. The formula for the confidence interval for a population mean is: x t, which was s 1. C. The formula for the cofidece iterval for a populatio mea is: x t, which was based o the sample Mea. So, x is guarateed to be i the iterval you form.. D. Use the rule : p-value

More information

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008 I ite Sequeces Dr. Philippe B. Laval Keesaw State Uiversity October 9, 2008 Abstract This had out is a itroductio to i ite sequeces. mai de itios ad presets some elemetary results. It gives the I ite Sequeces

More information

Measures of Spread and Boxplots Discrete Math, Section 9.4

Measures of Spread and Boxplots Discrete Math, Section 9.4 Measures of Spread ad Boxplots Discrete Math, Sectio 9.4 We start with a example: Example 1: Comparig Mea ad Media Compute the mea ad media of each data set: S 1 = {4, 6, 8, 10, 1, 14, 16} S = {4, 7, 9,

More information

An Introduction to Logistics and the Supply Chain. An Introduction To Logistics And The Supply Chain

An Introduction to Logistics and the Supply Chain. An Introduction To Logistics And The Supply Chain Departmet of Global Busiess ad Trasportatio A Itroductio to Logistics ad the Supply Chai Itroductio Cosider bottled water. Abstract Oft times I have foud that studets come ito a course that assumes they

More information

How to set up your GMC Online account

How to set up your GMC Online account How to set up your GMC Olie accout Mai title Itroductio GMC Olie is a secure part of our website that allows you to maage your registratio with us. Over 100,000 doctors already use GMC Olie. We wat every

More information

CHAPTER 11 Financial mathematics

CHAPTER 11 Financial mathematics CHAPTER 11 Fiacial mathematics I this chapter you will: Calculate iterest usig the simple iterest formula ( ) Use the simple iterest formula to calculate the pricipal (P) Use the simple iterest formula

More information

(VCP-310) 1-800-418-6789

(VCP-310) 1-800-418-6789 Maual VMware Lesso 1: Uderstadig the VMware Product Lie I this lesso, you will first lear what virtualizatio is. Next, you ll explore the products offered by VMware that provide virtualizatio services.

More information

Setting Up a Contract Action Network

Setting Up a Contract Action Network CONTRACT ACTION NETWORK Settig Up a Cotract Actio Network This is a guide for local uio reps who wat to set up a iteral actio etwork i their worksites. This etwork cosists of: The local uio represetative,

More information

insight reporting solutions

insight reporting solutions reportig solutios Create ad cotrol olie customized score reports to measure studet progress ad to determie ways to improve istructio. isight Customized Reportig empowers you to make data-drive decisios.

More information

Confidence Intervals. CI for a population mean (σ is known and n > 30 or the variable is normally distributed in the.

Confidence Intervals. CI for a population mean (σ is known and n > 30 or the variable is normally distributed in the. Cofidece Itervals A cofidece iterval is a iterval whose purpose is to estimate a parameter (a umber that could, i theory, be calculated from the populatio, if measuremets were available for the whole populatio).

More information

How to use what you OWN to reduce what you OWE

How to use what you OWN to reduce what you OWE How to use what you OWN to reduce what you OWE Maulife Oe A Overview Most Caadias maage their fiaces by doig two thigs: 1. Depositig their icome ad other short-term assets ito chequig ad savigs accouts.

More information

For customers Key features of the Guaranteed Pension Annuity

For customers Key features of the Guaranteed Pension Annuity For customers Key features of the Guarateed Pesio Auity The Fiacial Coduct Authority is a fiacial services regulator. It requires us, Aego, to give you this importat iformatio to help you to decide whether

More information

Time Value of Money. First some technical stuff. HP10B II users

Time Value of Money. First some technical stuff. HP10B II users Time Value of Moey Basis for the course Power of compoud iterest $3,600 each year ito a 401(k) pla yields $2,390,000 i 40 years First some techical stuff You will use your fiacial calculator i every sigle

More information

Center, Spread, and Shape in Inference: Claims, Caveats, and Insights

Center, Spread, and Shape in Inference: Claims, Caveats, and Insights Ceter, Spread, ad Shape i Iferece: Claims, Caveats, ad Isights Dr. Nacy Pfeig (Uiversity of Pittsburgh) AMATYC November 2008 Prelimiary Activities 1. I would like to produce a iterval estimate for the

More information

Chapter 5 Unit 1. IET 350 Engineering Economics. Learning Objectives Chapter 5. Learning Objectives Unit 1. Annual Amount and Gradient Functions

Chapter 5 Unit 1. IET 350 Engineering Economics. Learning Objectives Chapter 5. Learning Objectives Unit 1. Annual Amount and Gradient Functions Chapter 5 Uit Aual Amout ad Gradiet Fuctios IET 350 Egieerig Ecoomics Learig Objectives Chapter 5 Upo completio of this chapter you should uderstad: Calculatig future values from aual amouts. Calculatig

More information

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth Questio 1: What is a ordiary auity? Let s look at a ordiary auity that is certai ad simple. By this, we mea a auity over a fixed term whose paymet period matches the iterest coversio period. Additioally,

More information

CHAPTER 7: Central Limit Theorem: CLT for Averages (Means)

CHAPTER 7: Central Limit Theorem: CLT for Averages (Means) CHAPTER 7: Cetral Limit Theorem: CLT for Averages (Meas) X = the umber obtaied whe rollig oe six sided die oce. If we roll a six sided die oce, the mea of the probability distributio is X P(X = x) Simulatio:

More information

A GUIDE TO BUILDING SMART BUSINESS CREDIT

A GUIDE TO BUILDING SMART BUSINESS CREDIT A GUIDE TO BUILDING SMART BUSINESS CREDIT Establishig busiess credit ca be the key to growig your compay DID YOU KNOW? Busiess Credit ca help grow your busiess Soud paymet practices are key to a solid

More information

hp calculators HP 12C Statistics - average and standard deviation Average and standard deviation concepts HP12C average and standard deviation

hp calculators HP 12C Statistics - average and standard deviation Average and standard deviation concepts HP12C average and standard deviation HP 1C Statistics - average ad stadard deviatio Average ad stadard deviatio cocepts HP1C average ad stadard deviatio Practice calculatig averages ad stadard deviatios with oe or two variables HP 1C Statistics

More information

THE REGRESSION MODEL IN MATRIX FORM. For simple linear regression, meaning one predictor, the model is. for i = 1, 2, 3,, n

THE REGRESSION MODEL IN MATRIX FORM. For simple linear regression, meaning one predictor, the model is. for i = 1, 2, 3,, n We will cosider the liear regressio model i matrix form. For simple liear regressio, meaig oe predictor, the model is i = + x i + ε i for i =,,,, This model icludes the assumptio that the ε i s are a sample

More information

Sequences and Series

Sequences and Series CHAPTER 9 Sequeces ad Series 9.. Covergece: Defiitio ad Examples Sequeces The purpose of this chapter is to itroduce a particular way of geeratig algorithms for fidig the values of fuctios defied by their

More information

Introduction to Demand Planning & Forecasting

Introduction to Demand Planning & Forecasting CTL.SC1x -Supply Chai & Logistics Fudametals Itroductio to Demad Plaig & Forecastig MIT Ceter for Trasportatio & Logistics Demad Process Three Key Questios What should we do to shape ad create demad for

More information

Determining the sample size

Determining the sample size Determiig the sample size Oe of the most commo questios ay statisticia gets asked is How large a sample size do I eed? Researchers are ofte surprised to fid out that the aswer depeds o a umber of factors

More information

Lesson 15 ANOVA (analysis of variance)

Lesson 15 ANOVA (analysis of variance) Outlie Variability -betwee group variability -withi group variability -total variability -F-ratio Computatio -sums of squares (betwee/withi/total -degrees of freedom (betwee/withi/total -mea square (betwee/withi

More information

Amendments to employer debt Regulations

Amendments to employer debt Regulations March 2008 Pesios Legal Alert Amedmets to employer debt Regulatios The Govermet has at last issued Regulatios which will amed the law as to employer debts uder s75 Pesios Act 1995. The amedig Regulatios

More information

15.075 Exam 3. Instructor: Cynthia Rudin TA: Dimitrios Bisias. November 22, 2011

15.075 Exam 3. Instructor: Cynthia Rudin TA: Dimitrios Bisias. November 22, 2011 15.075 Exam 3 Istructor: Cythia Rudi TA: Dimitrios Bisias November 22, 2011 Gradig is based o demostratio of coceptual uderstadig, so you eed to show all of your work. Problem 1 A compay makes high-defiitio

More information

13 Management Practices That Waste Time & Money (and what to do instead)

13 Management Practices That Waste Time & Money (and what to do instead) 13 Maagemet Practices That Waste Time & Moey (ad what to do istead) By Dr. Aubrey C. Daiels Just Because Every Orgaizatio Uses Them, Does t Make Them Effective To achieve maagemet excellece, you eed to

More information

CDs Bought at a Bank verses CD s Bought from a Brokerage. Floyd Vest

CDs Bought at a Bank verses CD s Bought from a Brokerage. Floyd Vest CDs Bought at a Bak verses CD s Bought from a Brokerage Floyd Vest CDs bought at a bak. CD stads for Certificate of Deposit with the CD origiatig i a FDIC isured bak so that the CD is isured by the Uited

More information

Online Banking. Internet of Things

Online Banking. Internet of Things Olie Bakig & The Iteret of Thigs Our icreasigly iteretcoected future will mea better bakig ad added security resposibilities for all of us. FROM DESKTOPS TO SMARTWATCHS Just a few years ago, Americas coducted

More information

How To Find FINANCING For Your Business

How To Find FINANCING For Your Business How To Fid FINANCING For Your Busiess Oe of the most difficult tasks faced by the maagemet team of small busiesses today is fidig adequate fiacig for curret operatios i order to support ew ad ogoig cotracts.

More information

Modified Line Search Method for Global Optimization

Modified Line Search Method for Global Optimization Modified Lie Search Method for Global Optimizatio Cria Grosa ad Ajith Abraham Ceter of Excellece for Quatifiable Quality of Service Norwegia Uiversity of Sciece ad Techology Trodheim, Norway {cria, ajith}@q2s.tu.o

More information

HCL Dynamic Spiking Protocol

HCL Dynamic Spiking Protocol ELI LILLY AND COMPANY TIPPECANOE LABORATORIES LAFAYETTE, IN Revisio 2.0 TABLE OF CONTENTS REVISION HISTORY... 2. REVISION.0... 2.2 REVISION 2.0... 2 2 OVERVIEW... 3 3 DEFINITIONS... 5 4 EQUIPMENT... 7

More information

National Institute on Aging. What Is A Nursing Home?

National Institute on Aging. What Is A Nursing Home? Natioal Istitute o Agig AgePage Nursig Homes: Makig The Right Choice Lucille has lived i her home for 33 years. Eve after her husbad died 3 years ago, she was able to maage o her ow. Recetly, she broke

More information

Handling. Collection Calls

Handling. Collection Calls Hadlig the Collectio Calls We do everythig we ca to stop collectio calls; however, i the early part of our represetatio, you ca expect some of these calls to cotiue. We uderstad that the first few moths

More information

Supply Chain Management

Supply Chain Management Supply Chai Maagemet LOA Uiversity October 9, 205 Distributio D Distributio Authorized to Departmet of Defese ad U.S. DoD Cotractors Oly Aim High Fly - Fight - Wi Who am I? Dr. William A Cuigham PhD Ecoomics

More information

Simple Annuities Present Value.

Simple Annuities Present Value. Simple Auities Preset Value. OBJECTIVES (i) To uderstad the uderlyig priciple of a preset value auity. (ii) To use a CASIO CFX-9850GB PLUS to efficietly compute values associated with preset value auities.

More information

Soving Recurrence Relations

Soving Recurrence Relations Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree

More information

THE ARITHMETIC OF INTEGERS. - multiplication, exponentiation, division, addition, and subtraction

THE ARITHMETIC OF INTEGERS. - multiplication, exponentiation, division, addition, and subtraction THE ARITHMETIC OF INTEGERS - multiplicatio, expoetiatio, divisio, additio, ad subtractio What to do ad what ot to do. THE INTEGERS Recall that a iteger is oe of the whole umbers, which may be either positive,

More information

Incremental calculation of weighted mean and variance

Incremental calculation of weighted mean and variance Icremetal calculatio of weighted mea ad variace Toy Fich faf@cam.ac.uk dot@dotat.at Uiversity of Cambridge Computig Service February 009 Abstract I these otes I eplai how to derive formulae for umerically

More information

Statement of cash flows

Statement of cash flows 6 Statemet of cash flows this chapter covers... I this chapter we study the statemet of cash flows, which liks profit from the statemet of profit or loss ad other comprehesive icome with chages i assets

More information

Desktop Management. Desktop Management Tools

Desktop Management. Desktop Management Tools Desktop Maagemet 9 Desktop Maagemet Tools Mac OS X icludes three desktop maagemet tools that you might fid helpful to work more efficietly ad productively: u Stacks puts expadable folders i the Dock. Clickig

More information

Configuring Additional Active Directory Server Roles

Configuring Additional Active Directory Server Roles Maual Upgradig your MCSE o Server 2003 to Server 2008 (70-649) 1-800-418-6789 Cofigurig Additioal Active Directory Server Roles Active Directory Lightweight Directory Services Backgroud ad Cofiguratio

More information

Material Management and

Material Management and Cover Article Acquisitio of Property Through a Material Maagemet ad Accoutig System (MMAS) by Richard Culbertso, Three Rivers Chapter ad Waye Norma, CPPM, CF, Los Ageles Chapter Backgroud ad brief history

More information

Agenda. Outsourcing and Globalization in Software Development. Outsourcing. Outsourcing here to stay. Outsourcing Alternatives

Agenda. Outsourcing and Globalization in Software Development. Outsourcing. Outsourcing here to stay. Outsourcing Alternatives Outsourcig ad Globalizatio i Software Developmet Jacques Crocker UW CSE Alumi 2003 jc@cs.washigto.edu Ageda Itroductio The Outsourcig Pheomeo Leadig Offshore Projects Maagig Customers Offshore Developmet

More information

6. p o s I T I v e r e I n f o r c e M e n T

6. p o s I T I v e r e I n f o r c e M e n T 6. p o s I T I v e r e I f o r c e M e T The way positive reiforcemet is carried out is more importat tha the amout. B.F. Skier We all eed positive reiforcemet. Whether or ot we are cosciously aware of

More information

QUADRO tech. FSA Migrator 2.6. File Server Migrations - Made Easy

QUADRO tech. FSA Migrator 2.6. File Server Migrations - Made Easy QUADRO tech FSA Migrator 2.6 File Server Migratios - Made Easy FSA Migrator Cosolidate your archived ad o-archived File Server data - with ease! May orgaisatios struggle with the cotiuous growth of their

More information

supply-chain management (scm)

supply-chain management (scm) 7 supply-chai maagemet (scm) 7. 1 Theory: SCM ad logistics Learig outcomes Lear about the theory of supply-chai maagemet. Use collocatios coected with supply-chai maagemet. Desig a supply chai. Itroductio

More information

Total Program Management for High-Tech

Total Program Management for High-Tech Total Program Maagemet for High-Tech ORGANIZE Makig Order Out of Chaos Sortig the requiremets, fidig the right resources, aligig the capabilities, ad creatig a cohesive Team Maagemet Effort are dautig

More information

Domain 1: Designing a SQL Server Instance and a Database Solution

Domain 1: Designing a SQL Server Instance and a Database Solution Maual SQL Server 2008 Desig, Optimize ad Maitai (70-450) 1-800-418-6789 Domai 1: Desigig a SQL Server Istace ad a Database Solutio Desigig for CPU, Memory ad Storage Capacity Requiremets Whe desigig a

More information