Download presentation
Presentation is loading. Please wait.
Published byJoleen Hudson Modified over 5 years ago
1
Dr. Rohan Bennett, Dr. Jason Sargent, and Dr. Mark Pickering
Innovations in Land Data Governance Unstructured Data, NoSQL, Blockchain, and Big Data Analytics Unpacked Dr. Rohan Bennett, Dr. Jason Sargent, and Dr. Mark Pickering World Bank Conference on Land and Poverty Washington D.C., United States March
2
Background and Motivation
The nexus of land, data, and governance is clear In the midst of a so-called data revolution Different generations of LIS are being disrupted But, what is actually meant by that? …extent, scale?
3
Approach and Methods Research Synthesis Analytical Framework
Meunier (2016) and Applegate (2005) Data Inputs 108 published works, 26 other sources, + key informants
4
Distributed SQL Data Warehouse
Database (DDBMS) Time Distributed Ledgers Hadoop NoSQL Distributed SQL Data Warehouse NewSQL SQL Analytical Transactional 2000s Centralised Database (RDBMS) Transactional (+ Analytical) 1970s Scale of DB Infrastructure Relational Non-Relational Other… Centralized Management Systems Decentralised Management System Adapted from: Meunier, S, (2016), Blockchain technology — a very special kind of Distributed Database, Medium, Dec (accessed: Oct )
5
Impact of data revolution on strategy
Factory Strategic high Impact of data revolution on operations Turn Around Support low high Impact of data revolution on strategy Adapted: Applegate (2005)
6
Rise of Unstructured and Non-Relational
Structured data the mainstay, but, we’re seeing a rethink Standardization (LADM), 3Dization Leveraging off the semi-structured trend LADM, GML, LandXML, RDF, BIM, LandInfra Experimenting with the great unstructured 2 vs. 5000, 0.5 used, Talking Titler, OSCAR
7
Evolution in Distributed Databases
Data and storage are being dispersed via outsourcing and cloud NoSQL in land sector is experimental (MarkLogic, MongoDB) NewSQL is really not existent (Google Spanner) Why? Transaction numbers too low? Transactions too complex? Latency and through-put not so important? …but, what about globally integrated markets and unbundling?
8
Slow Burn for Big Data Analytics
Seek fast response times on queries of large data sets Relational (Oracle) or non-relational (Hadoop) Some experimentation (e.g. GeoSpark) But, overall where art thou? Transaction focus reigns supreme? Not enough (accessible) data? Applications are not clear?
9
Decentralized Management Hope vs. Hype
Decentralizing management with Blockchain Now, dozens of examples… A few more… Exploring ‘Land Lay By’ in Kenya Profiling ‘Fractional Property Investment’ in Australia
11
Distributed SQL Data Warehouse
Database (DDBMS) Time Distributed Ledgers Hadoop NoSQL Distributed SQL Data Warehouse NewSQL SQL Analytical 3rd Generation LIS Transactional 2nd Generation LIS 2000s Centralised Database (RDBMS) 1st Generation LIS Transactional + Analytical 1970s Scale of DB Infrastructure Relational Non-Relational Other… Centralized Management Systems Decentralised Management System Adapted from: Meunier, S, (2016), Blockchain technology — a very special kind of Distributed Database, Medium, Dec (accessed: Oct )
12
Impact of data revolution on strategy
Factory Strategic high Cadasta ~1% OECD Countries 30% Ghana/ Landmapp 1st Generation LIS Kenya/ Land Lay By Dubai/ ConsenSys Australia/ Brickx.com DCDBs + Legacy System Talking Titler Ghana/ Bitland 2nd and 3rd Generation LIS Impact of data revolution on operations 0st Generation LIS 70% GLTN/STDM Software Georgia/ Bitfury Sweden/ Chromaway FAO/ SOLA Developing Contexts Honduras/ Factom Turn Around Support low high Impact of data revolution on strategy
14
Land Lay By Existing business based on selling land options to diaspora Introducing DLT registry to mirror MoL in 2018/19 On Etherium Public, with private aspects (e.g. sales price) Intermediaries incentivised using Harambee Tokens
15
Challenges Technical Political Financial
Developing robust smart contracts Populating the DLT with authenticated land ownership data Potential conflicts with the DLT registry and MoL registries Political Attempting support without support of MoL Government currently focused on its own digitization program Requires intermediaries support, but, they’re potentially being removed?! Financial Upfront investment costs ICO of Harambee Tokens
16
...fractional property investment
18
Brickx.com Essentially a privatized registry and marketplace
Not yet using DLTs Business model based on taking a small % of transaction Each property is a unit trust anchored to traditional land administration system
19
Challenges Rate of return on investment?
Does it do anything to raise levels of tenure security? Could or should the approach be applied in low income countries? Are DLTs the tool realize ‘mass unbundling’ of the ownership parcel?
20
Summary… Trending towards uptake on most fronts
Opportunities for more analytics Adjusting expectations, broadening focus Something old, something new Assessing impact: too soon or too hard?
21
End. Thanks for your time.
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.