Mining the WGEA data Overview of webinar Overview of all industries - PowerPoint PPT Presentation

Jun 09, 2023 •114 likes •365 views

Mining the WGEA data Overview of webinar Overview of all industries Workforce composition Gender pay gap Employer action 2 Accessing the WGEA Data Explorer Accessing the WGEA Data Explorer Bubble graph - industry overview Bubble

Mining the WGEA data
Overview of webinar – Overview of all industries – Workforce composition – Gender pay gap – Employer action 2
Accessing the WGEA Data Explorer
Accessing the WGEA Data Explorer
Bubble graph - industry overview
Bubble graph – industry exploration
Overview of tabs - mining
Summary Tab – all-industries
Compare industry tool
Summary tab - comparison
Workforce composition - comparison
Data explorer – Industry profiles
Data can be exported to excel
Workforce composition – part time
Yearly change graphs
Data tabs – employee movements
Bubble graph – gpg overview
Gender pay gaps in mining
Gender pay gap change
GPGs for managers
GPG change
Gender pay gaps in the Competitor Analysis Benchmark reports
Comparisons and employer action
Gender equality strategy
Summary and action • Australian workplaces are segregated by gender • Workforce composition is not static – Gender equality strategy – Target setting toolkit – Use data explorer for information on talent pools • Different gender pay gaps – why? – Use your CABR to see your organisation’s progress – Use Pay equity resources to investigate issues • Use the Data Explorer to compare your organisation with related industries. – Remember that the ‘Gender Pay Gaps’ tab is the only section not directly comparable to your Competitor Analysis Benchmark Repor – but all other areas such as flexible working, Gender equality strategy and employee movements and workforce composition can be directly compared.

Recommend

INTOSAI WGEA 21 March 2016, Bogis-Bossey, Switzerland AGENDA INTOSAI WGEA THE ROLE OF AUDIT AND

INTOSAI WGEA 21 March 2016, Bogis-Bossey, Switzerland AGENDA INTOSAI WGEA THE ROLE OF AUDIT AND SAI INTOSAI WGEA AND The IMPLEMENTATION OF CBD AND OTHER MEAs 1 INTOSAI WGEA Members of INTOSAI WGEA : 77 SAIs The INTOSAI regions

317 views • 15 slides

DATA MINING LECTURE 2 What is data? The data mining pipeline What is Data Mining? Data

DATA MINING LECTURE 2 What is data? The data mining pipeline What is Data Mining? Data mining is the use of efficient techniques for the analysis of very large collections of data and the extraction of useful and possibly unexpected

2.4k views • 94 slides

Web Mining Web Mining Web Mining Web Mining Web mining is the use of data mining techniques

What is Web Mining? Wh t i W b Mi i What is Web Mining? Wh t i W b Mi i ? ? Web Mining Web Mining Web Mining Web Mining Web mining is the use of data mining techniques to automat cally d scover and extract nformat on automatically

774 views • 20 slides

Data Mining and Visualization Overview August 29, 2019 Data Mining and Visualization

Data Mining and Visualization Overview August 29, 2019 Data Mining and Visualization Overview August 29, 2019 1 / 16 Motto In God we trust, all others bring data attributed to William Edwards Deming (1900-1993) American

296 views • 16 slides

Web Mining Web Mining Web mining is the use of data mining techniques to automatically

What is Web Mining? What is Web Mining? Web Mining Web Mining Web mining is the use of data mining techniques to automatically discover and extract information from Web documents/services (Etzioni, 1996, CACM 39(11)) Web mining aims to

566 views • 22 slides

DATA MINING LECTURE 1 Introduction What is data mining? After years of data mining there is

DATA MINING LECTURE 1 Introduction What is data mining? After years of data mining there is still no unique answer to this question. A tentative definition: Data mining is the use of efficient techniques for the analysis of very large

1.28k views • 62 slides

THE DATA MINING PIPELINE What is data? The data mining pipeline: collection, preprocessing,

DATA MINING THE DATA MINING PIPELINE What is data? The data mining pipeline: collection, preprocessing, mining, and post-processing Sampling, feature extraction and normalization Exploratory analysis of data basic statistics What is data

2.11k views • 139 slides

Overview SVM theoretical framework ORACLE data mining technology SVM parameter

SVM: Algorithms of Choice for Challenging Data Boriana Milenova, Joseph Yarmus, Marcos Campos Data Mining Technologies ORACLE Corp. Overview SVM theoretical framework ORACLE data mining technology SVM parameter estimation SVM

407 views • 38 slides

Introduction What is data mining? to Data Mining: On what kind of data? Data Mining

Introduction Motivation: Why data mining? Introduction What is data mining? to Data Mining: On what kind of data? Data Mining Data mining functionalities Major issues in data mining 2 Motivation: Necessity is

438 views • 14 slides

LECTURE 1: INTRODUCTION TO DATA MINING Dr. Dhaval Patel CSE, IIT-Roorkee What is data mining?

LECTURE 1: INTRODUCTION TO DATA MINING Dr. Dhaval Patel CSE, IIT-Roorkee What is data mining? Data mining is also called knowledge discovery and data mining (KDD) Data mining is extraction of useful patterns from data sources , e.g.,

1.29k views • 50 slides

CS145: INTRODUCTION TO DATA MINING Course Project Overview Instructor: Yizhou Sun

CS145: INTRODUCTION TO DATA MINING Course Project Overview Instructor: Yizhou Sun yzsun@cs.ucla.edu October 8, 2017 General Goal Apply data mining algorithms to real- world problems Choose topic Collect data Apply algorithms

390 views • 14 slides

Data Mining: A Powerful Data Mining: A Powerful Tool for Data Cleaning Tool for Data Cleaning

Data Mining: A Powerful Data Mining: A Powerful Tool for Data Cleaning Tool for Data Cleaning Jiawei Han Department of Computer Science University of Illinois at Urbana-Champaign Nov. 4, 2003 1 Data mining for data quality assurance

721 views • 40 slides

Overview HELSINGIN YLIOPISTO HELSINGFORS UNIVERSITET UNIVERSITY OF HELSINKI Spatial Data Mining

Overview HELSINGIN YLIOPISTO HELSINGFORS UNIVERSITET UNIVERSITY OF HELSINKI Spatial Data Mining Exploratory methods for analysing data Spatial component Spatial Data Mining Emphasis on point data Main topics Antti Leino

59 views • 3 slides

Modeling Data the different views on Data Mining Views on Data Mining Fitting the data

Modeling Data the different views on Data Mining Views on Data Mining Fitting the data Density Estimation Learning being able to perform a task more accurately than before Prediction use the data to predict future data

517 views • 29 slides

Data Mining: Concepts and Techniques Web Mining Li Xiong Slides credits: Jiawei Han and

Data Mining: Concepts and Techniques Web Mining Li Xiong Slides credits: Jiawei Han and Micheline Kamber; Anand Rajaraman, Jeffrey D. Ullman Olfa Nasraoui Bing Liu 4/9/2008 1 Web Mining Web mining vs. data mining Structure (or lack

997 views • 60 slides

Introduction to Web Mining What is Web Mining? Discovering useful information from the

CS 345A Data Mining Lecture 1 Introduction to Web Mining What is Web Mining? Discovering useful information from the World-Wide Web and its usage patterns Web Mining v. Data Mining Structure (or lack of it) Textual information and

744 views • 31 slides

The UK NAO perspective M J Popplewell, NAO 9th Annual EUROSAI WGEA meeting, Stockholm, Sweden, 11

9th Annual EUROSAI WGEA meeting, Stockholm, Sweden, 11 - 13 October 2011 Auditing transport related environmental issues The UK NAO perspective M J Popplewell, NAO 9th Annual EUROSAI WGEA meeting, Stockholm, Sweden, 11 - 13 October 2011,

581 views • 14 slides

Frequent Pattern Mining Overview Basic Concepts and Challenges Data Mining Techniques:

Frequent Pattern Mining Overview Basic Concepts and Challenges Data Mining Techniques: Efficient and Scalable Methods for Frequent Frequent Patterns in Sets and Itemsets and Association Rules Sequences Pattern Interestingness

510 views • 14 slides

Contents Text Mining Concept Tasks Twitter Data Analysis with R Twitter Extracting Tweets

Text Mining with R Yanchang Zhao http://www.RDataMining.com R and Data Mining Course Beijing University of Posts and Telecommunications, Beijing, China July 2019 Chapter 10: Text Mining, in R and Data Mining: Examples and Case Studies

904 views • 64 slides

Introduction to Data Mining Methods and Tools by Michael Hahsler Agenda What is Data Mining?

Introduction to Data Mining Methods and Tools by Michael Hahsler Agenda What is Data Mining? Data Mining T asks Relationship to Statistics, Optimization, Machine Learning and AI T ools Data Legal, Privacy and Security

1.02k views • 69 slides

Week 5 Video 2 Relationship Mining Causal Mining Causal Data Mining These slides developed in

Week 5 Video 2 Relationship Mining Causal Mining Causal Data Mining These slides developed in partnership with Stephen Fancsali, Carnegie Learning, Inc. Causal Data Mining Distinct from prediction or correlation mining The goal is not

491 views • 33 slides

Course Content Principles of Knowledge Introduction to Data Mining Discovery in Data

Course Content Principles of Knowledge Introduction to Data Mining Discovery in Data Data warehousing and OLAP Data cleaning Fall 2004 Data mining operations Chapter 9: Web Mining Data summarization

582 views • 30 slides

Da Data Min a Minin ing What at i is it? Ch. 1 I-DM- 1 IRDM 15/16 What is Data Mining?

Da Data Min a Minin ing What at i is it? Ch. 1 I-DM- 1 IRDM 15/16 What is Data Mining? Data mining is the process of extracting hidden patterns from data. An Unethical Econometric practice of massaging and manipulating the

475 views • 24 slides

15t 5th S Steer eering Committee M e Meeting INTOSAI SAI W WGEA A Research project

15t 5th S Steer eering Committee M e Meeting INTOSAI SAI W WGEA A Research project Greening Cities Sustainable Urban Development Helena Vorbor Michal Rampr Washington 2017 Cooperation with I INT NTOSAI AI W WGE GEA

636 views • 34 slides