brother Pali Lehohla Statistician General: SouthAfrica
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1 or big brother Pali Lehohla Statistician General: SouthAfrica
2 1. Forms of Knowledge 2. Knowledge Society and its limits 3. Properties of Knowledge 4. Properties of official statistics 5. Big Data VS Official Statistics 6. The Need to Know 7. Big data a foe or friend to official statistics
3 FORMS OF KNOWLEDGE
4 Forms of Knowledge Knowledge as information Semantic form and irrespective of empirical validity or pragmatic relevance Knowledge as understanding Scientific knowledge as opposed to trivia i in entertainment t t even amateur epistemology & public relations maneuvers Knowledge as insight, competence and authority selected, activated and applied: implying applying specific rules of preference and creating added value (Bhor &Einstein)
5 2. KNOWLEDGE SOCIETY AND ITS LIMITS
6 The Knowledge Society and its Limits Knowledge Society: Is a well informed Society in fact, that should become increasingly better informed In a complete knowledge society, all the knowledge of the world will be: available to everyone available everywhere available simultaneously available freely Pre-conditions Non-technological infrastructure should first be upgraded Literacy Promotion of use Promotion of access Basic freedoms
7 3. Properties of Knowledge
8 Properties of Knowledge Cognitive Map of the knowledge society as an aid to orientation: Big data and Official Statistics Academic Private Commercial Serious Nonacademic Public NoncommercialLight hearted Technological Historical world of experience Cultural & natural Electronic world of networks
9 Properties of Official Statistics Cognitive Map of the knowledge society For Official Statistics Purposive Nonacademic Public Noncommercial Technological Electronic world of networks
10 Properties of official statistics Social Division of knowledge from an official statistics perspective Utilization Research & Science Processing Documentation Distribution Social Division of knowledge from an academia perspective Research & Processing Documentation Distribution Utilization Science
11 Properties of Official statistics Order Policy of Knowledge & the Need For Separation Knowledge Ideas Theory Knowledge institutions Freely accessible Disinterested handling (ideological) Exoneration from actions Independence Property Interests Practice Government
12 Properties of Positive Contributions of Official Statistics Basic information on society Informational service as arise from legal rulings Raising information levels for the information society Provides orientation aids Supplement other info services Knowledge base for counter information Statistical advice for govnmnt Official statistics Knowledge Deficits of Official Statistics Unavoidable knowledge gaps e.g. the future Intentional ignorance e.g. where there should be stats but none exist Limited partial knowledge Legalised knowledge errors e.g, definitions & standards poverty Inherent Ih limits i of statistical i information: By its nature it can t deliver insights
13 Properties of Official Statisitics Official statistics = element of democratic society
14 Principles of official statistics
15 Statistical Quality Assessment Framework
16 Official i Statistics ti ti VS Big Data
17 by-product unstructured and unfiltered product structured and planned clear concept & method high cost centralised point-in-time regulated HUGE macro-level manageable size
18 unstructured and unfiltered structured and planned clear concept & method high cost centralised point-in-time regulated HUGE macro-level manageable size
19 Fundamental Properties of Big data and Official Statistics They thrive on networks They are information services and they are suited to network environment They are professional bodies as opposed to administrative bodies Abundance drives value proposition Statistics/information is a non-rival product Value is extracted in its extensive use: Increasing marginal utility Extensive demand drives the price down They play an ambiguous role in Society They are an auditor, so distance is desirable They are an informer, so distance is undesirable
20 and the need to know
21
22 Statisticians be prepared for the day of H G Wells is here when numeracy is as important to life as is the ability to read and write
23
24
25 An industrial revolution in data
26 Industrial revolution of data
27 Value = development, policy relevance, productivity,
28 The role of NSOs? imperfect, complex, often unstructured data = actionable information to feed our need to know
29
30 Make quality the: rationale incentive regulation
31 What about the African continent?
32
33 Over half lfafrica s population has a mobile phone
34
35 6. Big data a foe or friend to official statistics
36 Big data can complete the picture, fill in some of the blanks of official data
37
38 A range of human activities in space
39 Big data sheds light BIG DATA WORLD individual public private
40 official How should statistics respond to Big Data
41 1. Embrace the change toward purpose-driven p statistics: link between statistics + what society needs
42 Purpose-driven statistics reach higher Professional development
43 Statistics education: meet the ever increasing need for more: data accurate shorter time variety of forms
44 South Africa: training i of statisticians and raising of levels of statistical literacy carefully planned and coordinated to equip
45 Review of Mathematical Sciences Research at South African Higher Education Institutions International Review Panel (18/12/2008) Statistics in South Africa is now at a stage that is so critical that the field is in danger of disappearing through lack of academic capacity. The closure of academic departments is a real possibility. The crisis in statistics must be urgently addressed if its existence into the future is to be assured.
46 Creating a statistical profession Interventions: Train teachers Expose and capacitate learners Promote statistics as future career choice Interventions: Reduce drop-out Increase through-put (identify at risk ) Increase throughput (options for MSC, PhD in Statistics) Interventions: Generate e and increase research output Focus on cadre for official statistics
47 2. Manage the barriers and challenges inherent in big data
48 turn imperfect, large, complex, unstructured t data into actionable ab information o
49 The dimension challenge Size constantly growing as a continuous stream
50 innovating in data cleaning, reduction, mining i and modeling
51 The quality challenge Quantify error Privacy
52 Custodians to manage data quality within a framework embedded a legislation
53 The insight challenge Overcome insight deficit
54 Ensure correct insights and analysis yield actions through h contextualization, t ti confrontation o o & interrogation
55 3. National Statistical Agencies as honest brokers
56 regulation incentives Ca apacities s dge skills knowled Quality criteria Infrastructure Purpose FUNDAMENTAL PRINCIPLES NSO
57 Change balances the right answer with the implementable answer Right Answer Rational It s right Successful Change analytically Emotions It feels right Politics It satisfies the needs of all involved Implementable Answer and implementing the right answers depends on meeting the full range of constituent needs
58
59 It s time to readjust our thinking in the context t of a changing g world
60 Bringing Big Data and Official Statistics is about seeing and receiving Umkhanyakude light from afar
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