City parts • 2018

Městská část Brno-Bystrc

IČO 44992785

Buyer does not use tools to support competition. The supplier portfolio is relatively broad.

15.
ranking
70%
zIndex

Bidder participation

Is the level of competition satisfactory?   detailed info 

38%
average 42%

Winner concentration

Isn't majority of contracts awarded to small circle of firms?   detailed info 

75%
average 63%
Largest suppliers Contracts count Contracts volume (Kč)
MORAVOSTAV Brno, a.s. stavební společnost
2 48,243,189
SYNER, s.r.o.
1 21,197,878
FRAMA, spol. s r.o.
1 17,210,802
Karel Zeman
1 16,407,196
AQUA - GAS, s.r.o.
1 14,749,952
Other suppliers 9 60,150,712

Pro-competitive tools

Does the buyer foster the competition by using the available tools?   detailed info 

50%
average 65%
Tool Contracts count
Extended deadlines 70% (7 from 10)
Nonprice competition 0% (0 from 10)
Lots 0% (0 from 10)
E-auction 0% (0 from 10)

Competitive contracting

How often does buyer use non-competitive procedures?   detailed info 

100%
average 88%
No contracts in negotiated procedure without publication.

Consistent conduct

Does buyer discourage bidders by frequent competition cancellations or modifications?   detailed info 

65%
average 76%
Type of flaw Result
Issued calls without published result 0%
Cancelled contracts 20%
Average requirements modifications count 1.40

Journal data quality

Does buyer publish vital data in official journal?   detailed info 

97%
average 89%
Type of flaw Contracts count
Bidders count not published 0% (0 from 16)
Final or estimated price not published 0% (0 from 16)
Procedure type not published 0% (0 from 16)
Missing supplier ID 0% (0 from 16)
Missing buyer ID 0% (0 from 16)
Wrong buyer name 6% (1 from 16)
Call and award notices contradict each other 0% (0 from 16)
Missing call for tenders 12% (2 from 16)

Buyer profile data quality

Does the buyer profile fulfill the legal requirements?   detailed info 

32%
average 33%
Check Result
Is the buyers website consistent with central procurement registry? 67% (contracts)
Are there obvious flaws or inconsistencies within the data? 1.40 (average mistakes per contract)