Dipping our toes in the Big Data Ocean

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Presentation transcript:

Dipping our toes in the Big Data Ocean

Outline The Mystery The Plot The Cast The Data Flow Map The Legislation Putting CSO on the Map The Timeline Concluding remarks

The Mystery Gaps/Areas for improvementPossible Solution Value of Cross - Border ShoppingCredit Card Value of online (internet) shoppingCredit Card Tourism Consumption ExpenditureCredit Card Inbound Travellers - national (units)Mobile Phone Inbound Travellers - regional (units)Mobile Phone Tourism Accommodation ExpenditureCredit Card Subjective WellbeingOther - Twitter

The Plot “We know more about the travel patterns of the 6.8m cows on the island than we do about the 6.5m visitors to our shores each year. It is shocking how little we know about [tourism]” Michael Vaughan President - Irish Hotels Federation Learning Point 1 - Have a problem that requires a solution; this provides focus

CSO Legal Data Protection Commissioner(DPC) COMREG Office of the Attorney General (AGO) Data Providers Mobile Network Operators (tif) Clearing Houses Phone users? Internal Statisticians IT Senior Management Users ITIC/Tourism sector analysts Government Failte Ireland The Cast Learning Point 2 - Identify and build relationships with actors (stakeholders)

The Legislation Data Protection Act 1988 & 2003 Statistics Act 1993 Learning Point 3 - Look to build consensus/clarity on understanding around legal basis Key discussion point - relationship between both legislation in a modern state

The Data Flow Map Clearing Houses Irish Mobile Network Operators MNOs Exchange of data for billing purposes Learning Point 4 - Know the data topology and jargon of the industry Learning Point 5 - Be confident/sure of being able to process data volumes ROW Mobile Network Operators

Putting CSO on the Map Clearing Houses CSO Learning Point 6 - Seek to minimise burden/cost for data provider (MNOs) CDR required fields (Inbound roamers) IMSI, IMEI, MSISDN – Identification Country of home network - Nationality Cell ID plus lookup – Location Date and time of communication - Time Discussion points - Cost of compliance v Data Protection consideration - Required fields are a subset of the complete record - Required fields are a subset of the complete record - Easier/cheaper to provide full record/file - Easier/cheaper to provide full record/file

Update on DPC position Regular meetings with tif Key meeting with DPC Engage DPC AGO tif 1 st meeting Start Timeline 07/2011 Legal Technical Ready to go? today 11/ /201104/ st draft of Statistics Order Under Stats Act 11/2012 Key meeting with DPC and tif 03/2013 PRISM in Media 06/201308/2013 Scoping Legal Technical DPC Data Protection Commissioner tif Telecommunications Industry Federation AGO Attorney General Nature of Activity Learning Point 7 - Expect the unexpected Key events

Concluding remarks Access (legislation – statistical & data protection) Trust in official statistics Governance (safeguards) Resources (skill-sets, infrastructure etc.) Cost Burden Methodological First outputs defined by data sources – high correlation will provide statistical value – calibration?

Prepare to react; keep your phone ready! TXT 1 2 Text to Type Session WS10 your answer Internet 1 2 Go to sendc.com Log in with Session Posting messages is anonymous No additional charge per message 3 Type WS10 your answer

Having heard the challenges in Ireland, do you think we need a coordinated initiative to securing access 'big data' in order to compile official statistics? InternetGo to sendc.com and log in with Session Type WS10 Your answer TXTSend to : Session Type WS10 Your answer