Data analytics in the Spanish Tax Agency - SAS · Subdirector General de Tecnologías de Análisis...

Data analytics in the Spanish Tax

Agency

Analytics Experience 2016

November 7-9, Rome

José Borja Tomé

Subdirector General de Tecnologías de Análisis de la Información e Investigación del Fraude

Analytic tools usage

# Users

Analytic capabilities

Aggregated analysis

Simple network Analysis

Advanced models

Teseo

Market tools

Zújar (DW) Search engines

Standard reports Individual query

Zújar. The data warehouse

# Entities

# Visualizations

# Users

Governance: a role of user managers+

IT staff

Governance

Of

Information

Completeness

Semantic

Quality

Security

Integration

MIDAS - ROI

Applications to be included in ROI

2009-2015

•Filters (rules)

•Results: •Inclusion

•Denial

•Other information

Starting point

77% to check

Training

Execution

•Filters, other information

New applications to be included in ROI

•Results •Inclusion + motives

•Denial + motives

•To check + % of risk

With analytic system

45% to check

Additional benefits:

•Analysis and enrichment of filters

•Homogenization of decisions

•Ordering of files by risk

•Explicability of the model

•Continuous control, not subject to

campaigns

• Initially:

– Identify clear and well defined cases

– Limited scope projects

– Small number of expert business users

– Reduced governance: – Basic security

– Basic interfaces with business applications

• Evaluate the results and if they are satisfactory…

• More complex cases, study corporate adoption, increase governance and

scalability

IT Analytic project leaders

Model factory

Business Analytic project leaders

IT operational Apps staff

Organizing advanced analytic projects

ELECTRA

• Some groups of taxpayers

have an anomaly in the

distribution of their internal

versus external commercial

relations.

• In some cases these groups

are created with a

fraudulent purpose,

especially when they have

close bonds.

ELECTRA. Expansion of

relationships

Feedback Decision taken by the

official

Finding user cases of predictive

analytics. MIDAS – IVAN

(VAT refund claims for non established)

HISTORIC DATA •IVAN Files •IVAN declared invoices •DUAs( SADs) ofExport/Import •Claims against taxt decisions •Professional fuel refunds •Mod. 340- Invoices •… OBJETIVE •Decision taken by the official

MIDAS Decision

Rules

Weights

Variables

Predictive model

NEW FILES •File data •Declared invoices •DUAs (SADs) of Export/Import •Claims against taxt decisions •Professional fuel refunds •Mod. 340- Invoices •…

IVAN management

system

Operation Feedback Training

The case

The data

The advantage

Web scraping

• Although advanced analytics and big data are important, most needs can be satisfied with less sophisticated technologies (decisions motivated in true facts)

• Access for everybody (citizen data scientists) needs governance

• IT/Business Analytic project leaders + Model factory

• A bimodal approach simplifies the adoption of technologies

• Operational systems must integrate the results of the models

• Internet provided useful information in targeted areas although identification and uncertainty must be dealt with

Conclusions

Data analytics in the Spanish Tax

Agency

Analytics Experience 2016

November 7-9, Rome

José Borja Tomé

Subdirector General de Tecnologías de Análisis de la Información e Investigación del Fraude