Tag: Biometric

  • Trends in Consumer Behavior Analysis

    This article has been contributed by Anubhav Pandey, Chief Strategy Officer, Consortium Gifts

    Consumer behavior is all about the steps people take when deciding to buy and use a product or service. Thus, with the development of society, emergence of different cultures, economies grow, the nature of these decisions also transforms. Today consumers are driven by factors such as better lives, improved technology and a connected world. Understand and analyse these trends and shifts are very crucial for an effective marketing strategy.  Let’s take a look at some current trends that are impacting how consumers make decisions:

    Artificial Intelligence and Machine Learning

    AI and ML are slowly revolutionizing how corporate entities within the market analyze and forecast consumers’ behavior. This lack of focus on the details of purchasing decisions causes a shortfall when compared with traditional survey techniques, which may give less clear, less accurate, pictures of consumer behaviour. Whereas, AI and ML can present a better and accurate picture of the direction consumers are heading. It is possible to forecast follow up purchases the customer is likely to make, the frequency of such purchases, and even when the customer is likely to leave your website’s shopping cart. For example, the case of Netflix. Its recommendation system is based on a machine learning algorithm that suggests what kind of show or movie you might like to watch next. 


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    Digital Convenience

    Today’s consumer expects a convenient shopping experience facilitated by the increased cases of e-commerce. Amazon and Zomato are some of the modern platforms that have changed the approach to presenting products for sale and availability of products, where options like one-click purchase and ‘fifteen minutes delivery’ exist. These innovations have set standards of operations for consumers in different industries hence becoming the benchmark for businesses to follow.

    Social Media Analytics

    If we take India into consideration where there are over 800 million internet users, social media plays a strategic role for analysis of consumers. Social media analytics can be used to monitor customers’ attitude towards a particular brand, the general trends in the market, and even the sentiment of the public. Social media pioneers like Instagram and YouTube have tremendous influence over the buying behavior particularly among the youths. Research found that 63 per cent of Gen Z believe in Influencer marketing more than the typical brand commercials. It has further led to increase in influencer marketing since brands have allocated huge budgets for collaboration with social media influencers. Furthermore, SMM facilitates the analysis of social media sites and help business to market their products in the right way to the right audience.

    Personalisation

    Although personalisation was once an experimental concept, it has become mandatory in today’s marketing environment. The audience now wants specific experiences provided by brands that are unique to the individual. Often, through considering the user’s preferences, the companies that apply personalisation keep the attention of users longer, for instance, Netflix offers shows advisors, as well as Spotify offers users’ special compilations of tracks.

    Machine learning based applications observe people’s behavior, thereby defining unique and passionate experiences. Such specificity of the approach is not only designed to improve the customer experience but also to compel him or her to return for the next consumption occasion. One can conclude that the more a brand focuses on personalization, the better it is for the brand’s relationship with its audience.

    Data-driven Insights

    Consumer behavior analysis has been revolutionised through data proliferation. A McKinsey study revealed that companies leveraging advanced analytics have seen a 20 per cent increase in customer satisfaction and a 15 per cent boost in revenue. Through text mining method unstructured data such as social media posts and customer reviews can be analysed to extract insights. It helps addressing the common pain points and has a scope of improving customer satisfaction by 25 per cent. There is also natural language processing or NLP which enables computers to understand and interpret human language, facilitating sentiment analysis and customer feedback analysis. Examining data points collected over a series of time is a great way to identify patterns and trends.

    Social Proof

    Word of Mouth influence through social media is rising to be a significant power that drives the consumers. Endorsements from fellow consumers especially within the social media platforms play a big role towards the sell of a product. On the other hand, negative comment may discourage the potential customers.

    Data Visualisation and Storytelling

    Data visualisation is an essential tool for understanding consumer behaviour. Interactive dashboards and infographics make complex data easy to digest, allowing businesses to spot trends and adjust strategies quickly. Real-time insights help companies stay agile, responding to market shifts as they happen. By presenting data in a visually appealing and accessible way, businesses can make more informed decisions. Data visualisation also enables companies to communicate insights across teams, driving collaboration and encouraging data-driven decision-making at all levels.

    Neuromarketing and Biometrics

    These are one of the most advanced form of tools. These methods include electroencephalography to measure brain activity to understand emotional responses and cognitive processes to identify most effective advertising stimuli and assess brand perception. The eye-movements can also be tracked and analyse to decode the areas of interest and attention. It is also helpful in revealing which elements of a website or ad are most engaging and inform design decisions. Marketers also use galvanic skin response as a strategy to measure physiological changes, such as sweating, to assess emotional arousal. It gives insights to emotional impact of marketing campaigns and identify products that evoke strong emotional responses.


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    Consumer Journey Mapping and Analytics

    Identifying all interactions between a customer and a brand is crucial. A previous Bain & Company study established that companies that mapped their customer journeys have witessed a 25 per cent increase in customer satisfaction as it can identify pain points, optimize experiences, and increase loyalty. Businesses now also perform a behavior flow analysis by studying  the sequence of customer actions and decisions to reveal the hidden patterns, identify bottlenecks, and inform marketing strategies. Another very useful tool in mapping consumer journey are heatmaps, which basically visualise customer engagement with websites and apps. The role of heatmaps in optimizing website design, improving user experience, and increasing conversions is crucial.

    Ethical Considerations and Data Privacy

    The post-cookie era is encouraging a new age of privacy-first marketing. While collecting consumer data is essential to analyse consumer behavior, it is also important to implement policies and procedures to ensure data quality, security, and compliance. We are at a stage where every business need to prioritise transparency, consent and ethical data practices to succeed and grow. Hence, consent in the king here. To increase transparency and trust, it is crucial to obtain customers’ clear consent for gathering and using their data. Data anonymisation and pseudonymisation are useful methods to avoid data leakage and safeguard customers’ private data. Privacy-preserving technologies like differential privacy and privacy-preserving measurement can be utilised to enable brands to measure campaign effectiveness and analyse user data without compromising individual privacy, ensuring that marketing efforts remain both effective and ethical.

    Conclusion: The Human Touch

    While technology plays a pivotal role in analysing consumer behaviour, maintaining a personal connection remains essential. Brands that combine data-driven strategies with genuine empathy and meaningful interactions can stand out in today’s crowded marketplace. Balancing innovation with a human touch is the key to building strong, lasting relationships with consumers. As technology continues to evolve, businesses must adapt while keeping the customer at the heart of everything they do.

  • A Decade Of UIDAI (2009 – 2019): Challenges And Impact

    The Unique Identification Authority of India (UIDAI) is a statutory authority establish under the provisions of the Aadhaar Act 2016 from 12th July 2016 by the Government of India, under the ministry of Electronic and Information Technology. Prior to its establishment as a statuary authority, UIDAI was functioning as an attached office of the then Planning commission and was established  a decade ago on 28th January 2009.

    The logo of Aadhaar
    The logo of Aadhaar

    UIDAI was created with the objective of issuing a Unique Identification Number (UID), named as Aadhaar to the citizens of India. The UID had to be robust enough so it would eliminate duplicate and fake identities and also verify and authenticate in an easy, cost effective manner. The authority has so far managed to issue more than 124 crore Aadhaar numbers to the residents of India.

    After the Aadhaar Act 2016, UIDAI is responsible for operation and management of all stages of Aadhaar life cycle, developing the policy, procedure. And also to systematically issue Aadhaar numbers to individuals and perform authentication and the security of identity information and authentication records of individuals.


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    The Vision and Mission of UIDAI

    The vision of UIDAI is to empower resident of India with a unique identity and digital platform to authenticate anytime and anywhere.

    The mission of UIDAI are

    • To provide for good governance, efficient, transparent and targeted delivery of subsidies, benefits and services, the expenditure for which is incurred from the Consolidated Fund of India, to residents of India through assigning of unique identity numbers.
    • To develop policy, procedure and system for issuing Aadhaar number to residents of India, who request for same by submitting their demographic information and biometric information by undergoing the process of enrolment.
    • To develop policy, procedure and systems for Aadhaar holders for updating and authenticating their digital identity.
    • Ensure availability, scalability and resilience of the technology infrastructure.
    • Build a long term sustainable organization to carry forward the vision and values of the UIDAI.
    • To ensure security and confidentiality of identity information and authentication records of individuals.
    • To ensure compliance of Aadhaar Act by all individual and agencies in letter and spirit.
    • To make regulations & rules consistent with the Aadhaar Act, for carrying out the provisions of the Aadhaar Act.
    An example of the details that Aadhar card contains
    An example of the details that Aadhar card contains

    Some of the main functions of UIDAI are according to the Aadhar Act of 2016 are:

    • Specifying the regulations, demographic and biometric information required for enrolment and the process of verification.
    • Appointing of one or more entities to operate the Central Identities Data Repository
    • Generating and assigning Aadhaar numbers to individuals and authenticating Aadhar number.
    • Maintaining and updating the information of individuals in the CIDR in such manner as may be specified by the regulations
    • Omitting and deactivating of an Aadhaar number and information as specified by regulations.
    • Specifying the manner of use of Aadhaar numbers for the purpose of providing or availing benefits, services and other purposes for which Aadhar numbers may be used.
    • Calling for records and information conducting inspections, inquiries and audit operations for the purposes of Aadhaar Act of CIDR.
    • Data management, security protocols and other technology safeguards under Aadhaar Act.
    • Levying and collection of the fees or authorizing the registrar, enrolling agencies or other service providers to collect such fees for the services provided by them.
    • Setting up of facilitation centers and grievance mechanism for redressal of grievances of individuals, Registrars, enrolling agencies and other service providers.

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    The challenges of UIDAI are

    Biometric Challenges – No single biometric modality is sufficient for uniqueness guarantee. As it needs facial photo, eight to ten fingerprints and possibly iris. The problems with that is that significant percentage of the population will not have a desired biometric pattern: children below 8 years old. Enrollment “kit” that contains everything for a mobile unit. Simple training of enrollee such as video when they are waiting in line for enrollment.

    Rural Biometric Challenges – Fingerprint is socially acceptable, but it requires physical contact. Manual labor, dirty hands, assistance needed to capture prints result in large number of errors or missing prints. When it comes to iris scan it is better technology because it is touch less, but needs camera redesign for rural environment. Need improved user friendly capture to enroll in the open. Its needs in situation monitoring for enrollment and continuous monitoring.

    Biometric De – Duplication – Assuming 10 fingerprints for each and every person. A duplication search requires every fingerprint to be compared against entire database. Assuming a peak load of 1 million enrollments/day at database size of 800 million.

    Architecture Challenges – The architecture challenges includes distributed computing, cloud computing and virtualization, in memory databases and optimizing for computation and network.

    Network Infrastructure – Since rural internet connectivity is very poor the government must work on getting a better mobile network for the rural areas. Enrollment client must work in offline mode and batch upload when connected.  It should ride on credit card POS networks.

    Security and Fraud Detection – It make it secure for client, the server must be able to detect and prevent intruders. It should detect fraud on audit trails. Make automatic alerts like credit card alerts based on suspicious patterns.

    Managing multiple risks – It manages multiple risks such as Adoption, Enrolment, Political, technology, scale, sustainability, privacy and security.


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    The impact of UIDAI and Aadhaar

    Over 90% of Indian adults are now enrolled in the Aadhaar program making the total about 1.2 million people. It has become one of the pillars which people debate on the role of government in our lives. The value of privacy and how we should safeguard it, how public policy should be shaped and implemented and whether technology is being truly harnessed in the best interests of the citizens.

    The impact of Aadhaar from the past 10 years

    Identity is important

    Aadhaar enrolment has been de- linked from a person’s nationality and is instead available to all residents. In order to be eligible for enrolment an applicant does not have to prove their Indian citizenship, they must only provide proof of residence for at least 182 days. The Aadhaar has identity first approach and the number itself does not establish nationality or confer any rights or benefits and only establishes who the person is.

    Focus on Inclusion

    A central debate in India over Aadhaar has been on its claims towards inclusion. It points out vulnerable section of the population as there are many people that have been excluded from individual legal identity, now have an access to a nationally and widely recognized form of identification e.g. the poor migrants, tribal population in remote areas, transgender individuals and the homeless.

    Make privacy a priority

    The Aadhaar was implemented without a framework of data protection and privacy legislation in place, and it is missing in India even today. As a result, while the central repositories of UIDAI have not been breached, the demographic information collected for issuing Aadhaar cards, and the Aadhaar number itself, have been subject to multiple disclosures by government bodies as well as through fraudulent means.

    There was a lack of clarity on the status of information and the rules on how it was to collected, handled and disclosed. Limited data collection for specific purposes and controls on the retention of data, must be incorporated into the program, in the design of the technical system and also in the rules for every partner and agency related in handling identity related data.


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    Technology choices and their costs

    The Aadhaar program costs US $1.16 per enrolment which is the lowest of any identification program in the world. In other parts of the world the costs are as high as US $6 for enrolment and up to US $5 per identity card, which developing countries cannot afford. This makes the system dependent on connectivity for authentication and enrolment which is difficult to adopt for countries with lower mobile and internet usage.

    Which is why UIDAI introduced offline verification in 2018 through a digitally signed copy of demographic information on a QR code on the Aadhaar card. It enabled local authentication without connecting to the centralized database and also addressed the issue of fraudulent Aadhaar cards.

    Financial Inclusion

    When trying to assess the impact of the Aadhaar system, 2 instances are very significant the PDS, where the benefits are disputable and the financial services where its role is to accelerate KYC process in opening bank accounts. The Reserve Bank of India in 2011 recommended the use of the Aadhaar based e-KYC process for opening small bank accounts.

    This received a boost in 2014 with the launch of the Jan Dhan Yojana, through which over 300 million accounts were opened using eKYC. An uptick in account usage was observed once cash benefits were directly transferred to these accounts, suggesting that the lack of an initial balance might be a deterrent