In a world where the volume of data is constantly increasing, the importance of strong governance around data is growing. Data governance helps to build data trust and accountability, maintain privacy and compliance, and ensure that data assets are formally, proactively, and efficiently managed throughout the organisation. As a technology, blockchain aims to improve trust and security of transactions by distributing responsibilities and restricting any changes to approvals by most stakeholders.
In this edition’s topic of the month, we discuss the concept and benefits of using blockchain to address multiple aspects of data governance. As we see it, the concept is currently at a very nascent stage and the benefits and/or challenges will only evolve over a period with implementations at scale.
The newsletter also includes industry news and updates on proposals in the regulatory landscape by Government bodies such as the Reserve Bank of India (RBI) and Insurance Regulatory and Development Authority (IRDA). These proposals aim to align the interests of customers through continuous improvement in benefit programmes and to adapt to dynamic customer needs. Happy reading!
Blockchain and data governance may complement each other in a myriad of ways. Blockchain is an immutable distributed ledger of all network transactions. The participants in a blockchain network are called nodes. It follows a consensus mechanism where all the nodes have to be in consensus for a transaction to be performed on the blockchain.
The features of blockchain are such that it can enable data governance by design.
There are many ways of designing a blockchain network by leveraging an intelligent combination of chain and off-chain data.
Tracking data throughout its lifecycle is a very important aspect for many organisations since it is essential to maintaining records and helps in finding the authoritative data source.
On-chain and off-chain
In both the on-chain and off-chain methodologies, the data lifecycle can be tracked. Blockchain can be leveraged to capture metadata. Since every block has to be validated by all the network stakeholders (nodes) at every stage, potential misuse or tampering of data can be identified. Also, due to its immutable nature, the record of the lifecycle of the data and any transformations it may have undergone cannot be tampered with, and the record maintained is permanent.
Data quality management is one of the most important components of datagovernance, which helps to make data accurate, reliable and trustworthy.
On-chain
In this methodology, the data quality rules are not only defined but can also be implemented via smart contracts which are immutable (the conditions of the smart contract cannot be altered) and distributed (the output of the contract has to be validated by all on the network). The conditions of the smart contract are predefined and agreed upon by all the nodes. However, while this methodology improves the quality of data, data availability decreases since every data element may not pass the stringent requirements needed to be a part of the blockchain network.
Off-chain
In this case, blockchain is used to maintain records of the data lifecycle. This makes it easy to perform root cause analysis and remediation in case of any data quality issues. Blockchain can be used to store the metadata information such as the data quality rules and data quality scores. This information is continuously validated on the blockchain and is time-stamped; hence, it is accurate and reliable.
Using smart contracts, it is possible to define data quality thresholds and ensure that the data is monitored.
The core purpose of MDM is to have a single source of truth across all the entities of the organisation for enterprise data relating to customers, products, services, suppliers, partners, employees, etc. Blockchain technology helps in MDM by enabling a single source of truth.
On-chain and off-chain
Issues which crop up when data is shared within an organisation, such as delays due to organisational or bureaucratic inefficiencies, erroneous duplicates and challenges faced due to data silos (e.g. lack of data collaboration and data reconciliation), get remediated.
Two parties exchange data: This may be money, medical records, customer details, vendor data or any other asset that can be described in the digital form.
Depending upon the condition of smart contract/network parameter, the transaction is either verified instantly and accepted or rejected.
Each block is identified by a hash, a 256-bit number, created using an algorithm agreed upon by the network. A block contains a header, a reference to the previous block and a group of transaction.
Block data validation occurs through consensus mechanisms such as proof of work and proof of stake.
Validators try to propose the next block by following the parameters set by the designated consensus algorithm.
After block validation, the proposed block is broadcasted to each and every node in the system and the block is added to the chain, enabling a single source of truth across all the relevant stakeholders.
One of the key goals of data governance is to ensure privacy and security of data. Blockchain has many features which serve the purpose of data protection.
On-chain and off-chain:
Data security: Blockchain provides a good solution for maintaining the security of data records, one which is resistant to tampering and completely auditable. The hashing nature of blockchain enables each new block to be connected to all the previous blocks, forming a cryptographic chain which is nearly impossible to disrupt. Therefore, once a block is added to the blockchain, it cannot be altered.
On-chain:
Data encryption: In distributed architecture like blockchain, a transaction is transmitted peer to peer. Transmission of the transaction across the network takes around 1—2 seconds. The following is a representation of a blockchain transaction.
Off-chain:
Data privacy: In the off-chain methodology, the data itself is not maintained on the distributed ledger and hence its privacy is maintained. Only the metadata will be tracked and, thus, there can be no leakage of any personal information.
The client wanted to support a well-established social welfare institution in raising funds for setting up a centre of excellence.
In the conventional system, there were multiple data governance issues which had to be addressed and, therefore, the objectives of the project were as follows:
PwC implemented Ethereum as the blockchain framework and used relational database management system (RDBMS) for off-chain data to address the challenges faced by the client.
Data governance advantages:
A few concerns around blockchain-enabled data governance
On-chain
Off-chain
Blockchain has the potential to enhance data governance and solve many of its challenges. As a distributed ledger, it is easy to share across the organisation. It can be relied on as a trusted source because of its strong security features. With new developments in blockchain technology every day and stronger cryptographic algorithms, more organisations will be inclined to turn to blockchain for some of their most important data governance requirements.
FIS Global has created a solution on the lines of blockchain or distributed ledger technology wherein market participants can make real-time cross border payments using centralised digital token, i.e. CBDC. The solution supports 1 million transactions per second with a latency of less than 1 second.
According to International Data Corporation, the AI market will reach USD 450 billion, including services, hardware and software. In 2021, the AI market saw a rise of around 21% with a revenue of USD 383 billion, primarily relying on key benefits like fast- tracking digital transformation journeys, automation, better decision making and higher productivity across all industries and functions. The AI services market increased to USD 24 billion with 22.4% year-on-year growth.
Founded in 2017, Fundfina is capitalising on cutting- edge tech to build a full stack marketplace for lenders and micro, small and medium enterprise (MSME) borrowers. Brands can mix and match the start-up's APIs and build smart use cases across user acquisition, conversion and retention.
Shriram Transport Finance Company Limited (STFC) is the first NBFC in India to deploy blockchain for fixed deposits. The company has a centralised contact hub with a smart interactive voice response, AI bots and a simplified campaign management process.
This would allow relationship managers (RMs), financial advisors, agents, and financial businesses to access and prioritise their customers' requirements. Users will be able to foresee and analyse major life events, as well as recommend feasible financial objectives and solutions for future financial planning with the help of AI and machine learning models like the Hidden Markov Model and Generative Adversarial Network.
At the Indian Banks' Association, the FM stressed how banks should leverage advanced technologies like Web 3.0, AI and analytics to increase efficiency and detect financial crimes like fraud, money laundering and cybercrime. Further discussions were around benefits of the account aggregator system and how regional rural banks could leverage them and increase financial inclusion in unbanked regions.
The IRDA has issued a draft notification containing third-party motor insurance premium rates for cars, two-wheelers, electric vehicles, etc. There were no changes in the tariffs for the last two years due to the pandemic. For this financial year, the IRDA has proposed discounts on electric vehicles to encourage people to drive eco-friendly vehicles. A 15% discount will be given to all electric vehicles, and hybrid electric vehicles would get a 7.5% discount. Premium rates will take effect on 1 April 2022.
To increase insurance penetration in the country and to encourage ease of doing business, the IRDA has reduced the compliance burden by reducing the number of returns to be filed in a year. Instead of 17 returns, general and health insurers will now have to file eight returns and life insurers will have to file only three returns. This will be applicable with immediate effect.
To rationalise the premium rate and encourage participation of more insurers, new approaches have been recommended to revamp PMFBY. The changes will be implemented from the 2023—24 crop year (July—June). Due to lack of participation from insurance companies and lack of competition between existing participants, farmers have to pay high premium rates. The Government has also suggested the use of the latest technologies like drones for early prediction of crop loss and payment of claims and multiple risk transfer approaches.
Acknowledgements: This newsletter has been researched and authored by Abhishek Chandra, Aniket Borse, Anuj Jain, Arpita Shrivastava, Dhananjay GoeI,Harshit Singh, Krunal Sampat, Prakash Suman, Sitikantha Satapathy, Md Imtiaz Khan and Sneha Baliga.