Business Intelligence in the London Insurance Market

Lawrence Harvey Group

10 October 2016

1 © Distlytics Ltd 2016

Business Intelligence…

Past, Present and Future

Gary Nuttall

Managing Director

Agenda

1. Introductions

2. BI – Past

3. BI – Present

4. BI – Future

5. Q & A

Agenda

1. Introductions

2. BI – Past

3. BI – Present

4. BI – Future

5. Q & A

1 - Introduction: Me

1 - Introduction: You

General Insurance /B2C ?

Specialty / B2B ?

1 - Business Intelligence

© Gary Nuttall 2015

A pragmatic definition for this presentation:

"the effective transformation of data

into information

to make better informed decisions"

1 - Introduction: BI

This presentation reflects my personal views and is not intended to reflect the views of past, current and

prospective employers, clients or other agents.

"Prediction is very difficult, especially if it's

about the future."

Nils Bohr, Nobel laureate in Physics

Caveat: Please read the small print…

Agenda

1. Introductions

2. BI – Past

3. BI – Present

4. BI – Future

5. Q & A

2 - Past

The earliest definition of business intelligence (BI), in an October 1958 IBM Journal article by

H.P. Luhn, A Business Intelligence System

2 - Past

Earlier….(1869 – Napoleon’s march on Russia).

Charles Minard's map of

Napoleon's disastrous

Russian campaign of 1812.

The graphic is notable for

its representation in two

dimensions of six types of

data: the number of

Napoleon's troops; distance;

temperature; the latitude

and longitude; direction of

travel; and location

relative to specific dates

Data Mashup & Data

Visualization!

2 - Past

Even earlier….(400BC – Roman Census ).

The census was first instituted by Servius Tullius, sixth king of Rome.

After the abolition of the monarchy and the founding of the Republic, the

consuls had responsibility for the census until 443 BC.

(from www.Wikipedia.com)

2 - Past

Even, even earlier….(Caveman ?).

Agenda

1. Introductions

2. BI – Past

3. BI – Present

4. BI – Future

5. Q & A

Interview question

For the role of BI Manager:

3 - Present

Source: EY – Global Insurance M&A Themes 2016

http://www.ey.com/Publication/vwLUAssets/ey-global-insurance-ma-themes-2016/$FILE/ey-global-insurance-ma-themes-2016.pdf

3 - Present

3 - Present

(from www.gartner.com)

3 - Present

Move away from centralised BI to distributed:

• BI Tools targeting End User Computing

• Lightweight, web-based solutions (+ Cloud-BI)

Evolving architectures:

• Enterprise Data Warehouse vs Federated Data Services ?

• Application / system consolidation

• Cloud & Virtualization vs Appliance server

Establishment of newer capabilities:

• End-user “Big Data” – R compatibility

• Evolution from Modelling to Machine Learning and then Artificial Intelligence

3 - Present

Data Warehouse

(from www.oracle.com)

3 - Present

3 - Present

3 - Present

3 - Present

3 - Present

3 - Present

Agenda

1. Introductions

2. BI – Past

3. BI – Present

4. BI – Future

5. Q & A

4 – The Future

Quote from Mayor of Cambridge, MA after having the telephone demonstrated in 1876:

I can see the time that every City will have one!

"This 'telephone' has too many shortcomings to be

seriously considered as a means of communication.

The device is inherently of no value to us.“Western Union telegraph company memo, 1877

4 - Future

1 – Hype Cycle

(from www.gartner.com)

Technology TriggerA potential technology

breakthrough kicks things

off

Peak of Inflated

ExpectationsEarly publicity produces

a number of success

stories—often accompanied

by scores of failures

Trough of DisillusionmentEarly publicity produces

a number of success

stories—often accompanied

by scores of failures

Slope of EnlightenmentMore instances of how the

technology can benefit

the enterprise start to

crystallize and become

more widely understood

Plateau of ProductivityMainstream adoption

starts to take off

4 - Future

(from www.gartner.com)

4 - Future

(from www.gartner.com)

4 - Future

(from meetupmashup.blogspot.com)

2 – Mega Data

4 - Future

(from meetupmashup.blogspot.com)

2 – Mega Data

4 - Future

(from www.google.co.uk/trends)

4 - Future

• Data Federation

• Calculation moves onto data storage

• Cloud vs Appliances ?

• Machine Learning, Machine Intelligence, Artificial Intelligence

• Merging of Augmented Reality with Data Visualisation

• Integration of IoT derived data

• Increased use of Geospatial Data

• Segmentation of One (Marketing Holy Grail)

• Cross-discipline development

4 - Future

(from www.ibm.com)

4 - Future

(from sql Saturday)

Calculation moves onto data storage

4 - Future

Cloud vs Appliances ?

4 - Future

Machine Learning, Machine Intelligence, Artificial Intelligence

4 - Future

Merging of Augmented Reality with Data Visualisation

4 - Future

Integration of

IoT derived data

4 - Future

Increased use of Geospatial Data

4 - Future

Segmentation of One (Marketing Holy Grail)

4 - Future

Cross-discipline development

4 - Future

• Data Federation

• Calculation moves onto data storage

• Cloud vs Appliances ?

• Machine Learning, Machine Intelligence, Artificial Intelligence

• Merging of Augmented Reality with Data Visualisation

• Integration of IoT derived data

• Increased use of Geospatial Data

• Segmentation of One (Marketing Holy Grail)

• Cross-discipline development

4 - Future

4 - Future

How do you put this into a queryable format?

4 - Future

How do you put this into a queryable format?

Agenda

1. Introductions

2. BI – Past

3. BI – Present

4. BI – Future

5. Q & A

Q & A

50 © Distlytics Ltd 2016

Thank you!

Gary Nuttall

eMail: gnuttall@distlytics.com

LinkedIn:uk.linkedin.com/in/garynuttall

Twitter: @GPN01

Web: www.Distlytics.com