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(1)

School of Business and Economics

Loughborough University

How do you

Solve a Problem

like Analytics?

Stewart Robinson

(2)

Outline

My analytics story

What is analytics?

The “Dianoetic Management” paradigm

OR and analytics today

(3)
(4)

What is Analytics?

“[T]he extensive use of data, statistical and quantitative

analysis, explanatory and predictive models, and fact-based

management to drive decisions and actions. The analytics

may be input for human decisions or may drive fully

automated decisions. Analytics are a sub-set of […]

business intelligence.”

Davenport and Harris (2007)

.

“The scientific process of transforming data into insight for

(5)

What is Analytics?

Descriptive Analytics

: Statistical methods designed to

explore “what happened?”

Predictive Analytics

: Statistical and data mining methods

designed to predict “what will happen next?”

Prescriptive Analytics

: Predominantly OR/MS techniques

designed to answer “what should the business do next?”

(6)

What is Analytics?

Topic 20 (1

st

)

reporting

analysis

media

required

strategy

related

strategic

manager

company

degree

risk

online

products

across

drive

must

manage

responsible

well

financial

planning

industry

lead

software

Topic 21 (2

nd

)

services

solutions

technology

clients

digital

consulting

your

more

implementation

management

oracle

technical

capabilities

design

provide

advisory

strategy

integration

technologies

sap

career

enterprise

solution

architecture

Strategic (41%)

Computing (20%)

(7)

Technological

Strategic

Lower Risk Decisions

Higher Risk Decisions

Discovery Analytics

Decision Analytics

Advanced Discovery

Analytics

Reporting & alerts

Market research

Information systems

Basic historical analysis

Performance metrics

Stakeholder consultation

Advanced visualisation

Real time insights

Automated decisions

Advanced Decision

Analytics

Advanced modelling

Problem structuring

Decision analysis

Advanced

What is Analytics?

(8)

What is Analytics?

(9)

The “Dianoetic Management” Paradigm

Dianoetic: “of or relating to thought, [especially] to discursive

reasoning rather than intuition”

Collins English Dictionary

Technology

Decision

making

Quantitative

methods

(10)

The “Dianoetic Management” Paradigm

Scientific Management

(1910 – 1945)

The Scientific Method

(1945 – mid-1960s)

Technology

1945

Design of the von Neumann Architecture the computer structure still used today

1952

The UNIVAC computer predicts the US presidential election

1957

FORTRAN programming language devised

Quantitative Methods

1947

Linear programming developed

c1947

OR/MS methods used to help rebuild UK industry (Kirby, 2003, pp 190-105)

Decision Making

1946

Formation of the Ergonomics Society

1947

Publication of Simon’s Administrative Behavior an influential study into business decision making

c1959

Judy Clap leads the development of an Air Defence System with the first graphical user interface (Gu rer, 2002)

Technology

c1913

The Ford Model 1 began production using its influential assembly lines

1914

The end of The Technological Revolution

1941

The first digital computer, Z1, released

Quantitative Methods

1935

Publication of Fisher’s The Design of Experiments

1938

First discussions of ‘OR’ (Kirby, 2003 p 71)

1939

Development of cluster analysis

Decision Making

1912

The principles of Gestalt visual perception devised (Wagemans et al, 2012)

1921

Launch of the Cambridge Psychological Laboratory designed to distribute the results of studies amongst industry

(11)

Technology

c1972

Personal computers are popularised in businesses (Ceruzzi, 1999, pp 207-241)

c1972

TCP / IP internet protocols introduced

1973

IBM 3660 Supermarket System released introducing barcode scanners

Quantitative Methods

1972

Release of the Economic Theory of Teams, adapting statistical decision theory to organisational decision making (Marschak and Radner, 1972)

c1975

‘S’ statistical language and Matlab are launched. SPSS and SAS grow in popularity (Wegman et al, 1997)

1979

Development of the ID3 decision tree Algorithm

Decision Making

1979

Research into decision making needs of CEOs leads to the design of Executive Information Systems

c1981

Developments of the ‘soft systems’approach to decision making

The “Dianoetic Management” Paradigm

Management Information Systems

(mid-1960s – mid-1970s)

Decision Support Systems

(mid-1970s – late-1980s)

Technology

c1963

The development of microchips

1964

Release of the IBM System/360

c1970

E. F. Cobb conceptualises the first relational databases (Date, 2000)

Quantitative Methods

c1963

Geography’s Quantitative Revolution demonstrating the growth of quantitative methods across various academic disciplines (Burton, 1963)

1964

Lancaster University launches the first UK master’s

degree in OR/MS

Decision Making

1962

The Myers Briggs Type Indicator published, used to better understand decision maker types and needs

c1962

Behavioural science grows in influence in businesses, particularly in consumer research

c1969

First study into computer supported decision making; the forerunners to DSS (Ferguson and Jones, 1969)

(12)

The “Dianoetic Management” Paradigm

Business Intelligence

(late-1980s – mid-2000s)

Business Analytics

(mid-2000s – present day)

Technology

1988

Google’s Dean and Ghemawat (2004)

publish a paper detailing MapReduce, the programming model still used in big data architecture

2004

Launch of Facebook (with Twitter launched in 2006)

2007

Development of NoSQL databases (Driscoll, 2012)

Quantitative Methods

2001

The release of the Natural Language Toolkit, helping popularise text mining

2008

Publication of Anderson’s The End of Theory

questioning if big data will mean the end of traditional scientific and quantitative methods

2010

The first Kaggle competition

Decision Making

2005

eBay buy shopping.com, highlighting the importance of recommendation agents (Xiao and Benbasat, 2007)

2013

Tableau, the data visualisation software, valued at $2bil after two days on the Stock Exchange (Cook, 2013)

Technology

1988

The conceptualisation of data warehouse architecture (Devlin and Murphy, 1988)

1989

Launch of the world-wide-web

Quantitative Methods

c1988

The first significant research into agent based modelling (Samuelson, 2000)

1989

Piatesky-Sharpio introduces the term ‘data mining’ (He, 2009)

c1996

General Electric influentially introduces Six Sigma to its operational strategy (Henderson and Evans, 2000)

Decision Making

1992

Development of balanced scorecards (Kaplan and Norton, 1992)

c1999

The release of Wilkinson’s Grammar of Graphics, a system of rules and protocols for data visualisation

2000

Popularisation of dashboards (Marcus, 2006)

(13)

The “Dianoetic Management” Paradigm

2014:

“Analytics”

What comes

next?

www.whatisanalytics.co.uk

Charitable

project

(14)

OR and Analytics Today

Analytics Courses:

UK and Ireland

(15)

OR and Analytics Today

Employment in Analytics

“The United States alone faces a shortage of 140,000 to

190,000 people with analytical expertise and 1.5 million

managers and analysts with the skills to understand and

make decisions based on the analysis of big data.”

www.mckinsey.com/features/big_data

“Welcome to Analytics Jobs

Analytics Jobs is dedicated to support

analytics workers with useful career

information and help find the perfect

job quickly, permanent or contract.

There are thousands of analytics jobs

online now

.”

(16)

OR and Analytics Today

OR Branded as Analytics

Advanced Analytics &

Optimisation Leader

Specialist in business

modelling and analytics

VP Global Analysis, Business

Intelligence and Optimisation

Head of Operational Analysis

Decision Analysis and

Modelling Group

Analytics Team Leader

Senior Analytical Strategist

Health & Government Analytics

Finance & Risk,

Infrastructure & Analytics

Mathematical Optimisation

and Analytics

(17)

OR and Analytics Today

(18)

OR and Analytics Today

OR Society

“Operational Research at the Heart of

Analytics”

The Analytics Network

www.theorsociety.com/

Pages/SpecialInterest/

(19)

What should we do?

Change the name of the

Society

Change the name of the

our profession

Set-up an analytics

magazine

Set-up an analytics

journal

Stay as we are

Adapt OR for big data and

textual data

Accredit/certify people in

analytics

References

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