37
1 Dr Maria Milosavljevic, Chief Information Officer

Dr maria milosavljevic

Embed Size (px)

DESCRIPTION

 

Citation preview

Page 1: Dr maria milosavljevic

1 Dr Maria Milosavljevic, Chief Information Officer

Page 2: Dr maria milosavljevic

2

Page 3: Dr maria milosavljevic

3

Page 4: Dr maria milosavljevic

4

• $14.5 million funding over

four years

• Multi-disciplinary, multi-

agency

• Maximise data holdings

• Facilitate intelligence sharing

• Responsible for maintaining

the national criminal target

picture

• Implementation 2010-14

Page 5: Dr maria milosavljevic

5

“Begin at the beginning and

go on till you come to the

end: then stop.”

-- The King

Page 6: Dr maria milosavljevic

6

Challenge 1:

Page 7: Dr maria milosavljevic

7

Page 8: Dr maria milosavljevic

8

Page 9: Dr maria milosavljevic

9

Page 10: Dr maria milosavljevic

10

Page 11: Dr maria milosavljevic

11

Page 12: Dr maria milosavljevic

12

“Well, I never heard it

before, but it sounds

uncommon nonsense.”

-- The Mock Turtle

Page 13: Dr maria milosavljevic

13

Page 14: Dr maria milosavljevic

14

“Read the directions and

directly you will be directed

in the right direction.”

-- Doorknob

Page 15: Dr maria milosavljevic

15

Challenge 2:

Cross-border crime

Page 16: Dr maria milosavljevic

16

Page 17: Dr maria milosavljevic

17

Page 18: Dr maria milosavljevic

18

Page 19: Dr maria milosavljevic

19

Volume Velocity Variety Veracity

Lack of risk models Insufficient system

performance

Manual cleansing

of data

Unknown source

Processing doesn’t

scale

Inefficient data

ingestion process

Duplication of effort

for each collection

Conflicting

information

Human information

overload

Lack of real-time

decision support

Inflexible system

structures

Data quality

Page 20: Dr maria milosavljevic

20

1. Plan, Prioritise &

Direct

2. Collect & Collate

3. Analyse & Produce

4. Report & Disseminate

5. Evaluate & Review

Page 21: Dr maria milosavljevic

21

1. Plan, Prioritise &

Direct

2. Collect

& Collate

3. Analyse & Produce

4. Report & Disseminate

5. Evaluate & Review

Difficult to

measure

Manual

processes

Disconnected,

manual,

inefficient

systems

Manual

data

scrubbing,

growing

backlog

Limited feedback

Page 22: Dr maria milosavljevic

22

0

5

10

15

20

25

30

35

Number of tasks finished Number of tasks in backlog

Page 23: Dr maria milosavljevic

23

0

20

40

60

80

100

120

140

Number of tasks in backlog Linear (Number of tasks in backlog)

Page 24: Dr maria milosavljevic

24

“It would be so nice if something made

sense for a change.”

-- Alice

Page 25: Dr maria milosavljevic

25

0

200

400

600

800

1000

1200

Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13

Page 26: Dr maria milosavljevic

26

Challenge 3:

Complex, dynamic

environment

Page 27: Dr maria milosavljevic

27

Page 28: Dr maria milosavljevic

28

Page 29: Dr maria milosavljevic

29

Page 30: Dr maria milosavljevic

30

Page 31: Dr maria milosavljevic

31

Page 32: Dr maria milosavljevic

32

Page 33: Dr maria milosavljevic

33

Page 34: Dr maria milosavljevic

34

1. Plan, Prioritise &

Direct

2. Collect & Collate

3. Analyse & Produce

4. Report & Disseminate

5. Evaluate & Review

• Better connected systems

• More efficient systems

• Palantir as a platform

• Advanced analytics & risk

models

• Rapid ingestion &

linking for

structured sources

• Initial text analytics

• Templates

• Some streamlined

processes

• Some automated

alerting

Page 35: Dr maria milosavljevic

35

1. Plan, Prioritise &

Direct

2. Collect & Collate

3. Analyse & Produce

4. Report & Disseminate

5. Evaluate & Review

• Measuring:

• what’s the

impact?

• information

value?

• who for?

• More automated

alerting

• Increased

connectivity

• Increased analytics

• Automated risk

assessment

• More data

• Comprehensive

picture

• Deeper text

analytics

• Feedback loops

Page 36: Dr maria milosavljevic

36

Page 37: Dr maria milosavljevic

37