Model Drivers is a data architecture designer. Model DR 'industrialises' business systems providing a congruent data architecture that aggregates and integrates myriad data sources for modernised queries and reporting

2. 2
• Why Model
DR & data
point model
market
exists
• Regulatory
environment
• Model DR
solution
• What value
we offer to
our
customers
• What
differentiate
s Model DR
• Questions

3. ModelDR – a data design & analysis solution
• providing a single, enterprise view of portfolio risk and exposure
• resolving data dependency on inflexible systems architectures
• providing a congruent dataset ready for reconciled & validated report generation
• enabling transition towards larger system architecture decisions
3

4. 4
Financial regulation demands improvements in bank risk data
aggregation and reporting
Banks must establish
strong data
governance,
architecture &
processes
Regulators
want to know
if banks
prioritise
compliance
as highly as
other
infrastructure
projects

5. Data warehouse
Front office system
Client ID Name Client
type
1 Thatcher Gold
2 Blair Silver
3 Cameron Bronze
Risk system
Client
ID
LEI Name Client
type
Risk
Rating
1 987 Thatcher Gold High
2 654 Blair Silver Medium
3 654 Cameron Bronze Medium
321 Obama LowLEI Name Risk rating
987 Thatcher High
654 Blair Medium
321 Obama Low
Current Data Management
5

6. Data Point ModelFront office system
Client ID Name Client type
1 Thatcher Gold
2 Blair Silver
3 Cameron Bronze
Risk system
LEI Name Risk rating
987 Thatcher High
654 Blair Medium
321 Obama Low
Name
Client ID
Front Office
Client
Client
Type
LEI
Risk Client
Risk
Rating
aggregates
Big data and sematic technology
6

7. Objective Historical Data Point Model
Data panoply Duplication Semantic access
Data congruence Transforms Global language
Data access SQL
- One database at a time
- No intelligence
SPARQL
- Across databases
- With inference
Visibility Silo by silo Global
Control & lineage Distributed Industrial
Design Physical Logic & semantics
Let’s compare & consider
7

8. The Data Point Model
8
Value Value Set
Data Point
Aspect
Context
Many
Value
1
The data point meta model separates the data point and the values

9. Reverse Engineer a Report into a DPM
9
Report NameY Axis Aspect Y Axis Value Set Name Y Axis Coordinate Aspect Values
Reportable
Aspect
X Axis Aspect
X Axis
Value Set
X Axis
Coordinate
Aspect Values
Package Name Reportable Aspect Values

10. 10
Business Entity
Reverse Engineer a Data Base into a DPM
Class Level Adaptor
Attribute Adaptors
Adaptors Class Level Aspect
Attribute Level Aspect
Attribute Level
Value Sets
Resources

11. Designing a new viewpoint DPM to DPM
11
A third DPM wired
together from 2
existing DPM
Regulation may be the
driver but efficiencies will
evolve from a universal
language across the big
data technology curve
Next Steps towards
the Model DR
strategic data
aggregation
solution
Select legacy
systems for
ModelDR to
reverse
engineer into
DPM format
ModelDR
‘wires up
the new
DPM
viewpoint
to an
existing
or new
database
Model DR
forward
engineers
a query
drawn
from the
new
viewpoint
New
reports
are
drawn
from
old
system
architec
ture
Assessment
of tactical
transition to
the
ModelDR
strategic
solution