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officers and actual default outcomes to identify 2. Real-Time Analytics
discrepancies and areas for improvement. Technologies like Apache Kafka and Apache Spark
Model Updates: Regularly retrain models with facilitate the handling of continuous data streams from
new data to adapt to changing customer various sources, allowing for timely and relevant
behaviours and market conditions. analytics.
3. Visualization and Reporting Tools
Anomaly Detection: Implement systems to detect
and address unusual patterns or sudden shifts in Advanced visualization tools like Tableau, Power BI, and
data that may affect model performance. Qlik provide dynamic and user-friendly interfaces for
data exploration and reporting, enabling banks to
Emerging Trends in Data Analytics derive insights quickly.
4. Edge Analytics
Several emerging trends are poised to reshape data
analytics in the banking sector such as Analysing data at the edge of the network, closer to
data sources, reduces latency and bandwidth usage,
1. Artificial Intelligence (AI) and Machine
enabling faster and more efficient analytics.
Learning (ML)
Advanced Predictive Models: The integration of Conclusion
AI and ML allows for the development of
sophisticated models that can uncover complex Data analytics stands as a significant force in the banking
sector, offering unparalleled opportunities to enhance
patterns and improve predictive accuracy.
decision-making, mitigate risks, and drive operational
Natural Language Processing (NLP): NLP enables excellence. By systematically addressing challenges and
the analysis of unstructured data such as customer adhering to best practices, banks can harness the full
feedback, social media interactions, and call centre potential of data analytics, fostering a data-driven culture
transcripts to gain deeper insights into customer that propels the institution toward sustained success and
sentiments and preferences. innovation.
Dass meets Bhutani to discuss CoopKumbh 2025 preparations
Preparations for CoopKumbh 2025 are gaining momentum as Joint Secretary of the Ministry of Cooperation, Abhishek
Dass, met with NCUI Chief Executive Sudhir Bhutani to deliberate on the upcoming mega cooperative event. The
high-level meeting aimed to ensure seamless coordination between the government and cooperative institutions for
the event scheduled in Prayagraj next year. CoopKumbh 2025 is envisioned as a large-scale convergence of coopera-
tives from across India, aligning with the broader vision of promoting the Sahakar se Samriddhi (Prosperity through
Cooperation) initiative.
The discussions included planning for exhibitions, stakeholder participation, thematic pavilions, and showcasing inno-
vative models in the cooperative sector. Dass emphasised the importance of grassroots-level participation and called
for active involvement from state cooperative federations, PACS, and SHGs. Bhutani assured NCUIs full support in
mobilising cooperatives and curating knowledge-sharing platforms. CoopKumbh is expected to highlight the role of
cooperatives in Indias socio-economic growth.
RBI penalises five cooperative banks for regulatory violations
The Reserve Bank of India (RBI) has imposed monetary penalties on five cooperative banks for non-compliance with
various regulatory norms, reaffirming its strict stance on governance and risk management in the cooperative bank-
ing sector. The penalised banks include The Banaskantha District Central Cooperative Bank Ltd (Palanpur), The
Himachal Pradesh State Cooperative Bank Ltd (Shimla), and three others. The violations ranged from irregularities
in KYC norms, non-compliance with exposure limits, improper asset classification, and lapses in internal control sys-
tems. RBI clarified that the penalties are administrative in nature and are not intended to question the validity of
any transactions or agreements entered into by the banks with their customers.
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