INetServer Statistics AnneCatherine Christen Managing Director Teldas Status

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INet-Server Statistics Anne-Catherine Christen Managing Director Teldas Status 24. 03. 2017

INet-Server Statistics Anne-Catherine Christen Managing Director Teldas Status 24. 03. 2017

Some figures about Number Portability… q Total numbers ported on 31. 12 q Evolution

Some figures about Number Portability… q Total numbers ported on 31. 12 q Evolution of ported numbers per connection type q Timeouts q Cancels q Rejects q SMS Prepay

Over 2. 4 Mio numbers in status ported on 31. 12. 2016 Evolution of

Over 2. 4 Mio numbers in status ported on 31. 12. 2016 Evolution of total numbers ported (status on 31. 12) (INA excluded) 3 000 2 500 000 2 000 Mobile Prepay 1 500 000 Mobile DDI 1 000 PSTN/ISDN 500 000 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 0

Increasing porting trend of 2015 Continues in 2016 Total numbers ported per year (INA

Increasing porting trend of 2015 Continues in 2016 Total numbers ported per year (INA excluded) Around 570’ 000 ported numbers over the year 2016 (30% increase to 2015) Over 50% increase in PSTN/ISDN, around 20% for mobile and prepay

Repartition of portings in 2016 In 2016, around 50% of the portings are Mobile,

Repartition of portings in 2016 In 2016, around 50% of the portings are Mobile, 15% Mobile Prepay and 35% PSTN/ISDN Repartition of numbers ported per Connection Type (INA excluded) 120% 100% 80% Mobile Prepay 60% Mobile 40% DDI 20% PSTN/ISDN 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 0%

Evolution of Cancel 2006 -2016 in % of work-orders 50, 0% 45, 0% 40,

Evolution of Cancel 2006 -2016 in % of work-orders 50, 0% 45, 0% 40, 0% 35, 0% 30, 0% 25, 0% 20, 0% 15, 0% 10, 0% 5, 0% 0, 0% PSTN/ISDN DDI Mobile Prepay 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 Total In 2016, the amount of cancel/workorder is around stable (except DDI), with 17% of total work-orders getting cancelled in 2016.

Evolution of Cancel 2006 -2016 100 000 D = automatic cancel when nonworking day

Evolution of Cancel 2006 -2016 100 000 D = automatic cancel when nonworking day added 90 000 80 000 I = INA Handover timeout caused by automatic cancel of the order 70 000 60 000 H = unlock timeout_H to cancel 50 000 40 000 M = unlock timeout_A or timeout_B to cancel 30 000 20 000 L = after too many reject cycles 10 000 0 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 Standard Cancel as recipient Most of the cancel are done by the Recipient or due to too many reject cycles. The increase in Cancels follows also the trend of WO increase.

Timeouts are more present for PSTN/ISDN Overall Timeouts per connection type from 2006 to

Timeouts are more present for PSTN/ISDN Overall Timeouts per connection type from 2006 to 2016 18 000 16 000 14 000 12 000 Mobile Prepay 10 000 Mobile 8 000 INA 6 000 DDI 4 000 PSTN/ISDN 2 000 0 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 In 2016, the increase of timeouts is due to some side-effects of the INet-Release (some operators encountered issues during first days after the release)

Timeouts in relationship to the Amount of work-orders… Timeouts A in % of work-orders

Timeouts in relationship to the Amount of work-orders… Timeouts A in % of work-orders per connection type in 2016 16, 00% 14, 00% 12, 00% 10, 00% 8, 00% 6, 00% 4, 00% 2, 00% 0, 00% PSTN/ISDN DDI INA Mobile Prepay

Some figures about the Reject reasons…

Some figures about the Reject reasons…

Evolution of Reject reasons in % of Total Work Orders 120% 100% 80% Mobile

Evolution of Reject reasons in % of Total Work Orders 120% 100% 80% Mobile INA 60% DDI PSTN/ISDN 40% Prepay 20% 0% 2013 2014 2015 2016 There are much more rejects for Mobile (55%) and Mobile Prepay (>90%) than for the other CON_TYPES (~20%)

Repartition of Reject Reasons 2016 (13) Deactivation date Reasons all CON-TYPES 2016 Repartition of

Repartition of Reject Reasons 2016 (13) Deactivation date Reasons all CON-TYPES 2016 Repartition of Reject too far away 1% (12) Fax & Data active 0% (0) Other Reason 3% (2) CON_TYPE doesn't match Subscriber Number 5% (11) Pre. Pay customer must announce departure 25% (1) First Name or Family Name/Company Name not valid 33% 10) Po. A not signed 0% (9) Po. A not valid or incomplete 0% (8) Po. A not sent by Donor within agreed time 0% (7) Wish Date out of scope 32% (6) Workorder not (5) Subscriber Number complete blocked 0% 0% (3) Subscriber Number doesnt belong to DONOR 0% (4) Number and Name don't match 0%

Positive effect of the INet-Release 2016: Around 30% decrease in reject reasons 01 (name)

Positive effect of the INet-Release 2016: Around 30% decrease in reject reasons 01 (name) and 07 (wish date) for all con_types 60000 First Half 2016 50000 Second Half 2016 40000 30000 20000 10000 (12) Fax & Data active (13) Deactivation date too far away 10) Po. A not signed (11) Pre. Pay customer must announce departure (9) Po. A not valid or incomplete (7) Wish Date out of scope (8) Po. A not sent by Donor within agreed time (6) Workorder not complete (5) Subscriber Number blocked (0) Other Reason (1) First Name or Family Name/Company Name not valid (2) CON_TYPE doesn't match Subscriber Number (3) Subscriber Number doesnt belong to DONOR (4) Number and Name don't match 0 § Reject reason 007 expected to decrease more as fixed operators mostly don’t use yet the « empty wish date » feature and mobile operators partially use it § Reject reason 001 increased much in previous years following the automation by most operators of the « name validation » and thus the machines rejected automatically every small spelling mistake… With the new « error rules» implemented by the operators with Inet release, the machines reject less

i (2 rst N (0 )C ) ON ame Oth (3 ) S _TY

i (2 rst N (0 )C ) ON ame Oth (3 ) S _TY or er R ub PE Fam ea (4 scr do il so ) N ib es y N n e u n a (5 mb r Nu 't m m. . . ) S er ub a mbe atc n h (6 scri d N r do. . . ) W be am e or r N e sn. . (7 kor um don. (8 ) W de ber 't. ) P is r n. o. A h D ot bloc. (9 ) P no ate com k. . . o. A t se ou p no nt t o lete t v by f sc al (1 id Don ope 1) Pr 10 or i or w n e. P ) ay Po com i. . . cu A n pl (1 3) (12 stom ot s e. . . ign De ) F e r ac ax e tiv & mu d at D st io at a. . a n da ac. te tiv to e o fa. . . )F (1 Mobile Prepay Rejects 2016 rejects per category 2016 (Prepay) 80 000 70 000 60 000 50 000 40 000 30 000 20 000 10 000 0

t. N (0 ) )C am Ot he ON e _T or r Re

t. N (0 ) )C am Ot he ON e _T or r Re (3 F )S Y a ub PE ami son (4 scri doe ly N ) N be sn a um r N 't m m. . . um a (5 b tc ) S er ub an ber h. . . d d s (6 crib Nam oes ) W er e n. . . N d or ko um on' (7 be t. ) W rde. . r r (8 b n l o ) P ish o o. A Da t co ck. . te (9 m. n o )P ou ple o. A t se t o te n t no f t v by D sco al on pe i d (1 or or 1) Pr 10) inc wi. . . e. P o ay Po. A mp cu no le. . s to t si. (1 ( 1 m g 3) 2 De ) Fa er ned ac x & mu tiv s at Da t a. . ta io. n a c da te tive to o fa. . . (2 irs )F (1 Mobile Rejects 2016 rejects per category 2016 (mobile) 80 000 70 000 60 000 50 000 40 000 30 000 20 000 10 000 0

(2 (0 )O )C am the ON r. R e o _ e (3

(2 (0 )O )C am the ON r. R e o _ e (3 ) S TYP r Fa aso m n ub E ily d sc (4 o N ) N rib es um er n't a. . . m N (5 ) S ber um atc ub an be. . . r d s c (6 d ) W ribe Nam oe or r N e d. . . (7 kord umb on' )W e er. . . r (8 ish no blo t )P c D o. A ate com. . . (9 ) P not ou ple o. A se t of te s no nt t v by cop Do e al id (1 no 1) 10 or r. Pr e. P ) Po inco. . A m ay n cu ot p. . . s sig (1 (12 to 3) m ) er ned De Fa ac x & mu tiv s at Dat t. . . aa io n da ctiv te e to o f. . . t. N irs )F (1 PSTN/ISDN Rejects 2016 rejects per category 2016 (PSTN/ISDN) 16 000 14 000 12 000 10 000 8 000 6 000 4 000 2 000 0

Some figures about average timings…

Some figures about average timings…

Average Validation Time now below 1 wd for all con_types Average duration from INIT

Average Validation Time now below 1 wd for all con_types Average duration from INIT until first reaction from Donor (Accept/Reject) per CON_Type 2, 5 2 PSTN/ISDN DDI 1, 5 INA Mobile 1 Mobile Prepaid All 0, 5 0 2011 2012 2013 2014 2015 2016

Average Porting time Average duration from INIT until Acti_date/Time per CON_Type 60 50 40

Average Porting time Average duration from INIT until Acti_date/Time per CON_Type 60 50 40 PSTN/ISDN DDI 30 INA Mobile 20 Mobile Prepaid 10 0 2011 2012 2013 2014 2015 2016 Long durations for Mobile, INA and PSTN/ISDN due to contract cancellation clauses

When does Handover occur? Average duration between acti time and handover time per CON_Type

When does Handover occur? Average duration between acti time and handover time per CON_Type 06. 12 H 04. 12 H PSTN/ISDN 03. 12 H DDI INA 02. 12 H Mobile Prepaid 01. 12 H 00. 12 H 2010 2011 2012 2013 2014 2015 For DDI and PSTN/ISDN, between 2 -4 hours. It seems that operators first test that the routing is correctly set by the Donor Operator For Mobile/Mobile Prepay, handover occurs within short time after acti-date. No tests done

Some figures about the departure Announcement process for Prepay… q SMS sent to subscribers

Some figures about the departure Announcement process for Prepay… q SMS sent to subscribers q SMS sent by subscribers q Invalid SMS

SMS sent to subscribers monthly evolution of SMS requests generated by Inet from June

SMS sent to subscribers monthly evolution of SMS requests generated by Inet from June 2012 until End December 2016 16 000 June 2016: issue with INet -Release (fixed straight afterwards) 14 000 12 000 10 000 8 000 Total Inet requests 6 000 Confirmations 4 000 Reminders 2 000 info requests Ju Au ne gu 201 st 2 20 1 oc 2 De t. 1 c 2 Fe 201 b 2 Ap 20 ri 13 Ju l 20 Au ne 13 gu 201 st 3 20 1 oc 3 t De. 1 c 3 Fe 201 b 3 Ap 20 ri 14 Ju l 20 ne 14 Au 20 g. 14 20 1 oc 4 t. 1 de 4 c. fe 14 b. ap 15 ril ju 15 ne au 15 g. 1 oc 5 t. 1 de 5 c. fe 15 b. ap 16 ril ju 16 ne au 16 g. 1 oc 6 t. 1 de 6 c. 1 6 0 There are still many customers who don’t send an SMS departure prior to the init of the work-order in Inet. This is not according to the process Improve communication in the point of sales (customers should send SMS to 499 directly from point of sale)…

SMS sent by the subscribers monthly evolution of SMS sent by the subscribers from

SMS sent by the subscribers monthly evolution of SMS sent by the subscribers from June 2012 until End December 2016 20 000 18 000 16 000 14 000 12 000 10 000 8 000 6 000 4 000 2 000 0 Total MO SMS received valid yes valid no other dec. 16 sept. 16 june 16 march 16 dec. 15 sept. 15 june 15 march 15 dec. 14 sept. 14 June 2014 March 2014 Dec 2013 sept. 13 June 2013 March 2013 Dec 2012 sept. 12 June 2012 invalid Departure SMS sent by customers vary between 12’ 000 and 14’ 000 / month Around 2/3 German, 25% French the rest English and Italian

June 2012 sept. 12 Dec 2012 March 2013 June 2013 sept. 13 Dec 2013

June 2012 sept. 12 Dec 2012 March 2013 June 2013 sept. 13 Dec 2013 March 2014 June 2014 sept. 14 dec. 14 march 15 june 15 sept. 15 dec. 15 march 16 june 16 sept. 16 dec. 16 Invalid SMS stabilised below 4% % invalid SMS 10, 0% 9, 0% 8, 0% 7, 0% 6, 0% 5, 0% 4, 0% 3, 0% % invalid SMS 2, 0% 1, 0% 0, 0%

Some figures about INA… q Available Tariffs and tariff repartition q INA Numbers in

Some figures about INA… q Available Tariffs and tariff repartition q INA Numbers in service q Total INA standard transactions

The amount of available tariffs is slightly decreasing. In 2016 : 974 available tariffs

The amount of available tariffs is slightly decreasing. In 2016 : 974 available tariffs Amount of tariffs per tariff category 1400 1200 1000 800 offline-B offline-A 600 online industry-standard 400 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 0

Around 43% of tariffs don’t need XDR exchange ! Repartition of tariffs per category,

Around 43% of tariffs don’t need XDR exchange ! Repartition of tariffs per category, 31. 12. 2016 1% 9% industry-standard online 34% 56% offline-A offline-B

Most INA numbers have an online tariff profile (around 95% in 2016) & total

Most INA numbers have an online tariff profile (around 95% in 2016) & total amount of numbers in service is slightly decreasing since 2010 Evolution of numbers in service online versus non-online 90 000 80 000 70 000 60 000 Total numbers in service, online 50 000 Total numbers in service, nononline 40 000 30 000 Total numbers in service 20 000 10 000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 0 Notice: until 2008, the graph shows the repartition between industry-standard versus non-industry standards

INA Transactions 2005 -2016: decreasing trend INA Standard transactions over the years (numbers taken

INA Transactions 2005 -2016: decreasing trend INA Standard transactions over the years (numbers taken into service, terminated, INA number tariff modifications…) 60 000 50 000 40 000 30 000 20 000 10 000 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 0

Some figures about Teldas Webpage usage

Some figures about Teldas Webpage usage

Google statistics www. teldas. ch Traffic: The traffic increased in 2016 was around stable

Google statistics www. teldas. ch Traffic: The traffic increased in 2016 was around stable related to 2015. This is mainly explained by the activities linked to the INet-release 2016 (documentation updates in End 2015 / Test activities in Spring 2016) New sessions: 70% of the visitors return to the Website, 30% are new sessions. > 1’ 000 sessions per month Navigator: 40% Internet Explorer / 30% Firefox / 30% Chrome Category: >97% of visits are done from the laptop no need to optimise for tablet or mobile access Most visited page: Contacts & Documents (April-May 2016: PR page due to the Inet-Release)