mining your data: extracting insights and value - pwc · pwc 1. introduction 2. complex project...

Mining your data:Extracting insights and value

London School of Mines

6 June 2019

PwC

Presenters

Mining your data: extracting new insights into your business June 2019

2

Jacqueline Chow

Natural Resource Valuations

Leader

Jacqueline leads our natural

resource valuations covering

metals & mining and oil & gas.

She has performed numerous

valuations of assets

(exploration/development and

operational) located in various

geographies (Ukraine, Russia,

Kazakhstan, Brazil, Mozambique,

Mexico) and various commodities

(base metals, lithium, gold,

diamond, heavy minerals etc.)

Stephen Herd

Capital Project Services

Advisory

Stephen is an Chartered

Engineer who is experienced in

the engineering and construction

of capital projects. He specialises

in using data analytics to improve

the delivery of large complex

projects, by providing people at

all levels within an organisation

with the information they need to

make informed and evidence-

based decisions.

PwC

1. Introduction

2. Complex project analytics

3. Case study 1

4. Case study 2

5. Q&A

Agenda

3

June 2019Mining your data: extracting new insights into your business

Introduction:Data as an asset

PwC

Mining your data


5

Exploration Develop Extract Process Product

AnalysePlan &

StructureFind Insights

Extract

Transform

Load

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2018 R

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into

.

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into

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.

PwC

• Minimise the regulatory

burden of ESG reporting

• Understand the ESG

implications of business

decisions from a

valuations & regulatory

perspective

• Provides the backbone to

a digital transformation

strategy

• Target investment in

areas of the organisation

which will benefit most

from digitalisation

• Understand the impact of

commodity prices on the

day to day operations of

the business

• Model the performance

of portfolio against

market scenarios

• Capture knowledge and

bridge experience gap

• Provide context and

trends to help individuals

make more informed

decisions

• Track and maximise the

outcomes of CSR

activities

Data can help address industry challenges


6

Environment, Social and

Governance

Digital transformation Managing the commodity

cycles and price volatility

Workforce and society

impact

Complex Project Analytics:Art of the possible

PwC

Complex Project Analytics is about combining industry experience and the creative application of advanced analytics to help clients gain control and confidence through deriving new insights from their disconnected and disparate data…


8

PwC

Complex Project Analytics in the Project Controls environment


9

Schedule

data

Cost

data

Risk

Management

Change control

mapping

TQ, RFI,

document

registersHealth and

safety data

Communication

logs

Resource

deployment

Supply chain

invoicing

Common data

environment logs

Data Analytics

EnvironmentComplex Project

Analytics

Industry needs

and challenges

PwC

Pro

ject

Da

ta

Pro

ject

Da

ta

Ow

ners

Co

ntr

acti

ng

En

tity

Co

ntr

acti

ng

En

tity

Co

ntr

acti

ng

En

tity

Ow

ners

Co

ntr

acti

ng

En

tity

Ow

ners

Ow

ners

Co

ntr

acti

ng

En

tity

Who benefits from analytics?


10

Data Analytics

Data Analytics

Schedule

Cost

Risk

Design

Registers

Comment,

approvals

Technical

queries

Progress

metrics

Material

orders

Resource

deployment

Contract

change

IT config

Office

utilisation

Data

sheets

Staff data

Timesheets

High level

summary

Access to

full dataset

PwC

Predictive AnalyticsAchieving predictive insights


11

Fixed reporting

One-off messages

No historic insights

Limited trending

Reliance on manual inputs

(text narrative)

Limited ability to challenge

Data analysis and

visualisation

Alignment of data sources

Ability to connect data

sources (linked impacts)

Greater insights from

common project data

Machine Learning

and Predictive

Analytics

Analytics is interwoven

between data sources

Intelligent links between data

sources

Live data patterns analysed

on an ongoing basis

Project delivery and schedule

impacts recognised

Early warnings flagged

Enhanced reporting

Scenario planning

Algorithms test likely

outcomes

Com

ple

xity

Com

ple

xity

Com

ple

xity

Schedule Cost Risk

Design

Registers

Comment,

approvals

Technical

queriesProgress

metrics

Material

orders

Resource

deploymentTimesheets

Case study 1New meaning to old data

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Overview: Making data accessible


13

~800live projects

managing

$billionsin spend

Worldwide~40 countries across 5 continents

304columns (KR)

240,000data points

PwC

Enable self service analytics


14

PwC

Ability to drill down and identify outliers within a portfolio


15

Case study 2Using data across the project

PwC

Data sources across the project


17

Site

deliveries TurnstileCrane

Data

Hoist Lift

Planning

ScheduleDocument

control

NCR

Sub-

Con.Mgmt

Accounts

Project

Cost

Reports

App. for

Payment

Site logistics

Cost ManagementProject Controls Engineering Design

CAD

federated

model

Make

Ready

Needs

Client

changeEmailsCAD clash

reports

Wider business

Risk

Register

Resources

(Hoist)Task Mgt

Workflows

Site

diaries

Planned

ResourcesHandover

Resource Management Task close out

Data sources from across the business

and…combining data from cuts in time to understand early warnings

Identifying the value in existing data

databases and Excel files

PwC

Project Level AnalysisSchedule analysis


18

Improved visibility of delivery challenges

Identification and evidence of delay patterns

Improved insight into project delivery

PwC

Project Level AnalysisMulti-source analysis


19

Material orders and schedule delay impacts

Resource profile, costs and effectiveness

Contractual change, governance and schedule impacts

Delivery trends and deviations

Schedule volumetric comparisons

5 questions to ask yourselves:

1. Are you using treating your data as an asset?

2. What questions do you want to answer on your projects?

3. What data do you have access to and what more could you be

doing with it?

4. What additional data do you need to answer those questions?

5. Can you embrace an analytical and creative mindset to think

about data differently, to bring further benefit to your

organisation?

pwc.co.uk

Thank you

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mining your data: extracting insights and value - pwc · pwc 1. introduction 2. complex project...

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