10
Detect risky procurements with redflags.eu Sandor Lederer - K-Monitor (Hungary)

Detect risky procurements with redflags.eu -Sandor Lederer

Embed Size (px)

Citation preview

Page 1: Detect risky procurements with redflags.eu -Sandor Lederer

Detect risky procurements with redflags.eu

Sandor Lederer - K-Monitor (Hungary)

Page 2: Detect risky procurements with redflags.eu -Sandor Lederer

RedFlags

Partners: K-Monitor, TI Hungary, PetaByte Ltd supported by EU DGHOME

● Automatized tool to detect risky public procurements

● Risk-forecast functions● Based on a formal algorithm-system● Pre-programmed filters scan TED

procurement notices● Customized combinations of filters● Subscribe for daily notices

● Scaleble - Techsoup / ePF Poland

Available at: redflags.eu

Page 3: Detect risky procurements with redflags.eu -Sandor Lederer

uncertain quantity

restricting geographical requirements

reference requirements exceed estimated value

requirement of a reference performed within one contract

timeframe to submit bids is too tight

Page 4: Detect risky procurements with redflags.eu -Sandor Lederer

Construction of the tool● From 60 identified indicators more than 40 implemented [32 – 9]

● Continuous updates (Tenders Electronic Daily) - 16 000 notices (contract notice, contract award, additional information)

● Thematic focus

● Compliance

● explicit breaches of the law

● loopholes, bad practice

● Other risk factors

● Cartel - NCA

● K-Monitor DB

● Users can subscribe to alerts

Page 5: Detect risky procurements with redflags.eu -Sandor Lederer

Redflags in action

Page 6: Detect risky procurements with redflags.eu -Sandor Lederer

Redflag-system in action

Page 7: Detect risky procurements with redflags.eu -Sandor Lederer

Redflag-system in action

Page 8: Detect risky procurements with redflags.eu -Sandor Lederer

Indicator correlations - profiles

Page 9: Detect risky procurements with redflags.eu -Sandor Lederer

Future plans

● Scaling in other EU Member States – „core indicators”

● Developement of new indicators through machine learning to improve the detection of tailor-made procurement calls

● Extending the scope of examined notices (eg. Hungarian practice below EU-threshold)

● Study on findings based on the analysis of patterns

and indexing

● Policy suggestions to the EC

● Integrating other databases ● data from the company registry

● court cases

Page 10: Detect risky procurements with redflags.eu -Sandor Lederer

Sandor [email protected]

Thank you!