AWS Public Sector Day Singapore 2025

30 September 2025, Raffles City Convention Centre

We were honoured to participate alongside Qlik at AWS Public Sector Day Singapore 2025.


On stage, our Sales Director, Edwina Hun, shared how organisations can do data differently, overcome real-world AI challenges, and empower teams to make timely, informed decisions. Together, we are building trust, driving efficiency, and turning innovation into measurable value and outcomes.


The main highlight of the day was engaging directly with attendees, understanding their challenges and showing how AI-driven solutions, grounded in a strong data foundation, can create tangible, real-world impact.


Thank you to everyone who visited our SIFT | Qlik booth. Also, congratulations to the 3 lucky winners taking home delightful Snowskin mooncakes!

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Ready to take the next step?

For more information or enquiries about Qlik products and services, feel free to contact us below.

LEARN MORE WITH SIFT
SIFT_Analytics_Snowflake

Snowflake World Tour

23 September 2025, Sands Expo & Convention

As a proud Snowflake Partner, SIFT was alongside Qlik as one of the event sponsors at Snowflake World Tour Singapore. We had great conversations with attendees, from sharing real-world use cases to exploring how Qlik solutions can address today’s toughest data challenges.

It was also a great opportunity to showcase AI in action through our live demos. Some questions we received were spot on:
 
  • How do you approach large-scale data pipelines?
  • What’s the right strategy for data warehousing?
  • How do you strengthen data governance?

In fact, there are many possible answers, but it’s equally important to share flexible practices and the right solutions that drive real impact.

A huge thank you to the Snowflake team for bringing such an incredible community together. Excited to keep the conversations going! 
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Ready to take the next step?

For more information or enquiries about Qlik products and services, feel free to contact us below.

LEARN MORE WITH SIFT

Campus Technology Partner,
Trusted by 400+ Universities

SIFT

Shaping High-Quality Education for Next-Gen Universities

Today’s students expect more than just lectures. They seek a connected, modern learning environment where technology powers every step of their academic journey.
 

As a trusted campus technology partner, SIFT Analytics helps universities transform education by integrating industry-aligned skills, AI-driven IT operations, and student-focused innovation.

What We Deliver as Your Campus Technology Partner

Data Analytics Training

Equip students with the in-demand skills employers value most.

AI-Powered IT Service Management

Deliver seamless, efficient IT support across campus.

Industry-Academia Partnerships

Connect students with internships and real-world projects

SIFT Sponsorship Program

Recognize and reward student achievements in analytics and innovation.

By partnering with SIFT Analytics, your institution can differentiate itself as a forward-thinking, digitally empowered campus, attracting students, empowering faculty, and aligning education with the needs of tomorrow’s industries.

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Leveraging Next-Gen Automation and the Intelligence of AI

Use Case

Tax
Analytics

SIFT’s solution for tax analytics automates the aggregation, cleansing, and standardization of tax data from multiple jurisdictions into a unified workflow. Advanced analytics and built-in validation rules ensure accurate calculations, compliance with regulatory requirements, and full auditability. The framework accelerates reporting cycles, reduces manual errors, and provides actionable insights for tax planning and risk management.

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✅ Accurate, compliant, and audit-ready tax reports


✅ Reduced cycle time and manual effort


✅ Minimized risk of errors and regulatory penalties


✅ Enhanced visibility across jurisdictions


✅ Actionable insights for tax planning and decision-making

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Use Case

Month-End
Close

SIFT’s solution for month-end close automates the preparation of journal entries, data consolidation, and variance analysis across financial systems. Standardized workflows ensure accuracy, reduce manual effort, and enable faster close cycles. The framework provides audit-ready outputs and real-time visibility into financial performance.

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✅ Faster, more accurate month-end close


✅ Reduced manual effort and errors


✅ Automated variance analysis and reconciliation


✅ Transparent, audit-ready financial workflows


✅ Improved visibility into financial performance

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Use Case

Regulatory Reporting

SIFT’s solution for regulatory reporting automates the aggregation, validation, and transformation of data to generate CCAR, Basel, and DFAST-compliant reports. Governed workflows ensure traceability, accuracy, and adherence to regulatory standards, while automation reduces manual effort and supports timely submissions.

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✅ Accurate, compliant, and audit-ready regulatory reports

 

✅ Reduced manual effort and reporting errors

 

✅ Full traceability and governance across data workflows

 

✅ Faster reporting cycles with reliable outputs

 

✅ Scalable framework adaptable to evolving regulatory requirements

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Use Case

General Ledger Reconciliation

SIFT’s solution for general ledger reconciliation automates the matching, validation, and exception handling of financial transactions across systems. Standardized workflows reduce reliance on manual Excel processes, ensure accuracy, and provide audit-ready records.

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✅ Faster and more accurate ledger reconciliations


✅ Reduced manual effort and errors


✅ Automated exception identification and resolution


✅ Transparent, audit-ready workflows

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Use Case

Treasury Forecasting

SIFT’s solution for treasury forecasting integrates real-time data from treasury and financial systems to project daily liquidity and cash balances. Automated workflows cleanse, consolidate, and validate inputs, while predictive models generate accurate forecasts to support decision-making and cash management.

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✅ Accurate daily liquidity and cash balance projections


✅ Improved cash management and funding decisions


✅ Reduced manual data preparation and errors


✅ Real-time, actionable insights for treasury teams


✅  Scalable and auditable forecasting framework

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Use Case

Credit Risk Scoring and Monitoring

SIFT implements an automated data pipeline that ingests structured and unstructured financial data from multiple internal and external sources, applies data cleansing and normalization techniques, and then leverages advanced scoring models with machine learning-driven risk segmentation. Real-time monitoring dashboards are built with rule-based triggers to continuously track credit exposures across customers, portfolios, and counterparties.

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✅ More precise view of default risk and exposures

 

✅ Dashboards detect credit deterioration quickly

 

✅ Auditable data lineage ensures regulatory alignment

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Use Case

Liquidity & Capital Stress Testing

SIFT implements a scenario-based simulation framework that integrates historical and real-time financial data to model adverse market conditions. Advanced stress-testing algorithms project capital adequacy and liquidity coverage under regulatory requirements, while automated dashboards provide continuous monitoring and exception reporting.

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✅ Identify potential liquidity or capital shortfalls before they materialize

 

✅ Ensure alignment with Basel, CCAR, and other regulatory standards

 

✅ Generate actionable reports for strategic decision-making

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Use Case

Operational Risk Event Analysis

SIFT implements an automated operational risk analytics framework that aggregates loss event data from multiple sources, cleanses and standardizes it, and applies advanced pattern recognition and root-cause analysis algorithms. Interactive dashboards highlight trends, anomalies, and risk hotspots for timely investigation.

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✅ Quickly identify recurring issues and high-risk areas

 

✅ Automation reduces manual effort in analyzing loss events

 

✅ Insights support targeted actions to prevent future losses

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Use Case

Model Risk Validation

 

SIFT implements an automated model validation framework that continuously tests and monitors model performance using historical and real-time data. Advanced analytics detect deviations, bias, and model drift, while dashboards provide governance, transparency, and compliance with SR 11-7 guidelines.

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✅ Continuous validation ensures models perform as intended


✅ Supports SR 11-7 standards with auditable validation records


✅ Transparent monitoring enables better risk oversight and decision-making

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Use Case

Regulatory Risk Reporting

 

SIFT implements an automated regulatory reporting framework that consolidates data from multiple sources, applies validation and reconciliation rules, and generates Basel III, CCAR, and ICAAP reports with high accuracy. Dashboards and alerts ensure timely submission and audit readiness.

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✅ Automated data validation reduces errors in regulatory reports


✅ Less manual effort speeds up report generation and submission


✅ Transparent processes ensure adherence to regulatory standards

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Use Case

Third-Party Risk & Vendor Management

SIFT implements an automated third-party risk management framework that streamlines vendor onboarding, risk scoring, and continuous monitoring. Integrated dashboards track vendor performance, compliance, and potential operational risks, enabling proactive mitigation.

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✅ Early identification of high-risk vendors minimizes operational disruptions

 

✅ Automated onboarding and scoring save time and resources

 

✅ Continuous monitoring ensures adherence to regulatory and internal standards

 

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Use Case

Portfolio Risk & Performance

 

SIFT implements a real-time portfolio risk and performance analytics framework that integrates data across asset classes. Advanced algorithms calculate exposure, returns, and volatility, while interactive dashboards provide insights for risk-adjusted decision-making.

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✅ Clear view of exposure, performance, and volatility

 

✅ Real-time analytics enable proactive portfolio adjustments

 

✅ Supports strategies to maximize returns while managing risk

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Use Case

Client Segmentation & Personalization

SIFT implements an advanced client segmentation and personalization framework that analyzes behavioral data, wealth tiers, and investment preferences. Machine learning models identify patterns and clusters, enabling targeted marketing and customized offerings.

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✅ Understand client behavior and preferences more accurately

 

✅ Deliver tailored products and services to increase engagement

 

✅ Targeted strategies drive higher conversion and loyalty

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Use Case

Fund Flow Forecasting & Reporting

SIFT implements a fund flow forecasting and reporting framework that integrates historical and real-time transaction data to predict inflows and outflows. Automated reporting tools generate timely investor reports and dashboards, enhancing transparency and operational planning.

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✅ Predict fund movements for better liquidity management

 

✅ Automated reporting reduces manual effort and errors

 

✅ Clear insights for investors and stakeholders improve trust

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Use Case

ESG Scoring

 

 

 

SIFT implements an ESG scoring framework that integrates environmental, social, and governance metrics with portfolio holdings data. Advanced analytics calculate ESG scores, track performance trends, and generate automated client reports to support responsible investing.

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✅ ESG scores provide insights for responsible investment decisions

 

✅ Automated reports improve transparency and engagement

 

✅ Continuous monitoring of ESG metrics supports long-term sustainability goals

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Use Case

Investment Proposal Automation


SIFT implements an investment proposal automation framework that integrates client data, risk profiles, and investment preferences to generate personalized proposals. Automated workflows ensure consistency, compliance, and rapid delivery to clients.

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✅ Reduce turnaround time for personalized proposals


✅ Standardized templates ensure regulatory adherence


✅ Tailored proposals improve engagement and satisfaction

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Use Case

Fee Leakage & Billing Reconciliation

 

SIFT implements an automated fee leakage and billing reconciliation framework that aggregates transaction and billing data, identifies missing or misapplied fees, and validates invoices against contractual agreements. Dashboards highlight discrepancies and generate actionable reports for recovery.

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✅ Detect and correct missing or misapplied fees promptly

 

✅ Automated validation reduces manual errors in billing

 

✅ Streamlined processes save time and resources

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Use Case

Trade Reconciliation & Exception Management

SIFT implements an automated trade reconciliation and exception management framework that consolidates trade data across multiple systems, matches transactions, and flags discrepancies. Advanced workflows handle exceptions efficiently, reducing manual intervention and accelerating settlements.

 

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✅ Automated matching minimizes discrepancies

 

✅ Streamlined exception handling accelerates

transaction completion

 

✅ Less manual effort and improved accuracy in trade processing

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Use Case

Pre- and Post-Trade Analytics

 

 

SIFT implements a pre- and post-trade analytics framework that collects and analyzes trade execution data, measuring slippage, market impact, and execution quality. Dashboards and reports provide insights to optimize trading strategies and evaluate broker performance.

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✅ Data-driven insights improve execution decisions

 

✅ Monitor and compare broker performance effectively

 

✅ Identify and mitigate factors affecting trade efficiency

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Use Case

Transaction Cost Analysis

 

 

SIFT implements a transaction cost analysis framework that aggregates trading data across channels and instruments, calculates explicit and implicit costs, and identifies cost drivers. Automated dashboards provide insights to optimize execution decisions and reduce trading drag.

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✅ Identify and mitigate cost drivers to improve profitability

 

✅ Data-driven insights enhance trading strategy effectiveness

 

✅ Clear reporting across channels and instruments supports better oversight

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Use Case

Algorithmic Strategy Backtesting

 

SIFT implements an algorithmic strategy backtesting framework that uses historical and simulated market data to evaluate trading strategies. Advanced analytics measure performance, risk, and execution metrics, while dashboards provide insights for refinement and optimization.

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✅ Identify strengths and weaknesses to improve trading algorithms

 

✅ Evaluate potential losses under different market conditions before live execution

 

✅ Insights support informed adjustments to enhance performance

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Use Case

Market Surveillance and Compliance

 

SIFT implements a market surveillance and compliance framework that continuously monitors trading activity, applies anomaly detection algorithms, and automatically generates alerts for suspicious patterns. Dashboards provide oversight for regulatory and internal compliance teams.

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✅ Identify unusual trading patterns promptly


✅ Automated alerts support adherence to internal and external regulations


✅ Reduce manual monitoring efforts while maintaining robust oversight

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Use Case

Intraday Risk & Exposure Monitoring

 

SIFT implements an intraday risk and exposure monitoring framework that collects real-time position, margin, and exposure data across portfolios. Automated dashboards and alerts provide continuous visibility, enabling proactive risk management during trading hours.

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✅ Continuous monitoring of positions and exposures

 

✅ Early detection of potential issues allows timely intervention

 

✅ Data-driven insights support intraday trading and risk strategies

 

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Use Case

Claims 

Forecasting

SIFT consolidates historical claims data from multiple sources, ensures its accuracy through cleansing and validation, applies advanced analytics and predictive modeling to uncover trends and forecast future claims, and provides interactive dashboards for real-time monitoring and strategic planning.

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✅ More accurate claims forecasts, enabling better allocation of budget reserves


✅ Reduced risk of over- or under-reserving


✅Enhanced operational planning and resource optimization

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Use Case

Fraud Detection & Prevention

SIFT automates fraud detection by consolidating claims and behavioral data from multiple sources, cleansing and standardizing it for consistency, and applying anomaly detection and predictive modeling techniques to flag suspicious patterns in real time. Automated workflows route flagged claims for investigation, while dashboards provide visibility into fraud trends and model performance.

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✅ Detects fraudulent claims faster and more accurately

 

✅ Reduces financial losses and unnecessary payouts

 

✅ Strengthens compliance and fraud prevention controls

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Use Case

Claims Processing Optimization

SIFT automates claims handling by integrating data from multiple systems, cleansing and validating inputs for accuracy, and streamlining workflows to reduce repetitive manual tasks. Dashboards provide visibility into processing times, exceptions, and overall performance, enabling proactive improvements.

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✅ Speeds up claims handling and improves customer experience

 

✅ Reduces manual workload and error rates

 

✅ Enhances operational efficiency and transparency

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Use Case

Payment Integrity Analysis

SIFT automates payment integrity analysis by consolidating claim data across sources, applying validation rules and anomaly detection to flag irregularities, and highlighting potential overpayments or duplicate claims. Automated workflows surface recovery opportunities while dashboards track financial impact and resolution progress.

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✅ Detects overpayments and billing errors quickly


✅ Identifies recovery opportunities to reduce financial leakage


✅ Improves payment accuracy and overall claims integrity

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Use Case

Historical Claims Trend Analysis

SIFT automates payment integrity analysis by consolidating claim data across sources, applying validation rules and anomaly detection to flag irregularities, and highlighting potential overpayments or duplicate claims. Automated workflows surface recovery opportunities while dashboards track financial impact and resolution progress.

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✅ Detects overpayments and billing errors quickly

 

✅ Identifies recovery opportunities to reduce financial leakage

 

✅ Improves payment accuracy and overall claims integrity

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Use Case

Rate Development Acceleration

 

SIFT blends loss experience with market data to accelerate pricing model iterations, enabling faster and more accurate rate development while integrating insights into underwriting decisions.

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✅ Speeds up pricing model updates and decision-making

 

✅ Improves rate accuracy and competitiveness

 

✅ Enhances overall profitability and risk management

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Use Case

Risk Adjustment
Forecasting

 

SIFT’s solution streamlines risk adjustment forecasting by unifying claims, clinical, and demographic data into a single workflow. Data is cleansed, standardized, and enriched for consistency before advanced models identify patterns in historical claims and patient profiles. Machine learning refines forecasts, while validation ensures transparency and compliance. The framework enables dynamic updates and delivers results seamlessly into dashboards and reporting systems.

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✅ Speeds up pricing model updates and decision-making

 

✅ More accurate risk score predictions for better reimbursement alignment

 

✅ Early identification of high-risk members for proactive care

 

✅ Greater efficiency through automation of manual tasks

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Use Case

Cash Flow & Liability Forecasting

 

SIFT analyzes millions of policy records to project future claims and optimize capital reserves, combining historical trends, loss patterns, and predictive analytics for accurate forecasting.

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✅ Improves accuracy of claims and liability projections

 

✅ Optimizes capital allocation and reserve planning

 

✅ Enhances financial stability and decision-making

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Use Case

INCR Reserve Modeling Automation

SIFT replaces manual SQL or Excel processes with automated reserve modeling workflows that are dynamic, scalable, and auditable, enabling faster and more accurate reserve estimates

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✅ Speeds up reserve calculations and reporting cycles


✅ Improves accuracy, consistency, and auditability


✅ Enhances efficiency by reducing manual effort and errors

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Use Case

Financial Risk Modeling Enablement

SIFT empowers actuaries to quickly build and refine financial risk models by connecting diverse data sources and automating workflows, enabling more agile and accurate modeling.

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✅ Accelerates model development and iteration cycles

✅ Improves accuracy and reliability of financial risk insights

 

✅ Enhances agility in responding to market and regulatory changes

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Use Case

Underwriting Risk Scoring Automation

SIFT automates underwriting by generating accurate risk scores from behavioral and historical data. Data is consolidated, cleaned, and enriched, then predictive models calculate risk scores and assign categories. Automated workflows integrate scoring into underwriting systems, while dashboards track trends and performance.

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✅ Improved risk differentiation and scoring accuracy


✅ Proactive risk management through continuous model updates

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Use Case

Submission Triage & Prioritization

 

SIFT automates intake and routing of broker submissions, consolidates and standardizes data, and applies predictive models to prioritize high-value or high-risk opportunities, while dashboards provide real-time visibility.

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✅ Enables faster processing, reduces backlog, improves focus on high-value submissions

 

✅ Enhances resource allocation and underwriting efficiency, and supports data-driven decision-making

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Use Case

Pricing & Rate Adequacy Monitoring

SIFT analyzes quoted versus bound premium trends and loss experience, consolidates historical and current data, and applies analytics to identify underpriced or high-risk segments, with dashboards providing clear insights for pricing adjustments.

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✅ Enables timely detection of underpriced segments

 

✅ Improves rate adequacy enhances profitability efficiency, and supports data-driven decision-making

 

✅ Supports data-driven pricing decisions, and strengthens risk management

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Use Case

Broker Performance & Hit Ratio Analytics

SIFT tracks submission-to-bind ratios and outcomes by broker or channel, consolidates historical and current data, and applies analytics to evaluate broker performance and optimize underwriting strategies.

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✅ Identifies top-performing brokers and channels for targeted engagement


✅Improves underwriting strategy and resource allocation


✅Increases overall hit ratios and business efficiency

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Use Case

Real-time Eligibility & Rule Checking

 

SIFT automates intake and routing of broker submissions, consolidates and standardizes data, and applies predictive models to prioritize high-value or high-risk opportunities, while dashboards provide real-time visibility.

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✅ Enables faster processing, reduces backlog, improves focus on high-value submissions


✅Enhances resource allocation and underwriting efficiency, and supports data-driven decision-making.

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Use Case

Regulatory Reporting

SIFT’s solution for regulatory reporting automates the collection, validation, and consolidation of data from multiple sources into a unified workflow. Data is standardized and transformed to meet compliance requirements, with full traceability and auditability built in. The framework reduces manual errors, supports rapid adaptation to changing regulations, and delivers outputs in ready-to-submit formats that integrate seamlessly with dashboards for monitoring and governance.

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✅Accurate, compliant, and audit-ready reports


✅Significant time savings through automation of repetitive tasks


✅Reduced operational and compliance risk from manual errors


✅Scalable solution that adapts to changing regulatory requirements

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Use Case

Risk Adjustment Reporting

SIFT’s solution for risk adjustment reporting unifies claims, clinical, and demographic data into a standardized workflow to generate accurate, compliant, and audit-ready outputs. Automated data cleansing, validation, and transformation ensure consistency, while embedded logic applies regulatory rules for risk score calculations. The process reduces manual effort, minimizes errors, and provides full traceability, enabling transparent audits and quick adaptation to evolving reporting requirements.

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✅ Accurate and compliant risk adjustment reports

 

✅ Reduced manual effort and error rates through automation

 

✅ Faster turnaround for reporting cycles

 

✅ Scalable framework adaptable to new regulations and data sources

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Use Case

Reinsurance Treaty Processing

SIFT’s solution for reinsurance treaty processing automates ingestion and standardization of policy, claims, and treaty data. Parameterized rules handle ceding, retention, and recoverables, while automated reconciliation validates results with exception handling. Real-time updates and embedded audit trails ensure accuracy, transparency, and compliance, with outputs ready for finance and regulatory reporting.

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✅ Faster and more accurate treaty calculations and settlements

 

✅ Reduced operational risk through automated data validation

 

✅ Increased efficiency by eliminating manual reconciliation tasks

 

✅ Scalable framework adaptable to complex treaty structures and evolving requirements

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Use Case

Fraud Detection & Risk Analytics

SIFT tracks submission-to-bind ratios and outcomes by broker or channel, consolidates historical and current data, and applies analytics to evaluate broker performance and optimize underwriting strategies.

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✅ Identifies top-performing brokers and channels for targeted engagement

 

✅Improves underwriting strategy and resource allocation

 

✅Increases overall hit ratios and business efficiency

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Use Case

Exposure & Risk Monitoring

SIFT automates intake and routing of broker submissions, consolidates and standardizes data, and applies predictive models to prioritize high-value or high-risk opportunities, while dashboards provide real-time visibility.

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✅ Enables faster processing, reduces backlog, and improves focus on high-value submissions


✅Enhances resource allocation and underwriting efficiency, and supports data-driven decision-making.

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Use Case

Readmission Risk Prediction

SIFT’s leverages predictive modeling to identify patients at high risk of 30-day hospital readmissions. Patient data, including clinical, demographic, and historical admission records, is cleansed, standardized, and integrated into the workflow. Machine learning algorithms analyze patterns and risk factors to generate accurate, actionable risk scores. The framework enables proactive interventions, continuous model refinement, and full auditability, ensuring both clinical effectiveness and compliance with CMS guidelines.

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✅ Early identification of high-risk patients

 

✅ Reduced 30-day readmissions and CMS penalties

 

✅ Data-driven, actionable insights for care teams

 

✅ Continuous model improvement with new data

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Use Case

Drug Utilization Analysis

SIFT’s solution for drug utilization analysis automates the collection, cleansing, and integration of prescription, claims, and cost data into a unified workflow. Advanced analytics identify patterns in medication usage, spending trends, and potential inefficiencies, while built-in rules flag anomalies or high-cost outliers. The framework supports dynamic reporting and audit-ready insights to optimize pharmacy benefit management and decision-making.

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✅Clear visibility into medication usage and costs

 

✅ Identification of high-cost drugs and utilization trends

 

✅ Automated, error-reducing reporting

 

✅ Data-driven support for pharmacy benefit management

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Use Case

Length of Stay Forecasting

SIFT’s solution for length of stay forecasting integrates patient, clinical, and historical admission data into a unified workflow. Advanced predictive models analyze patterns and risk factors to estimate inpatient stay duration, enabling optimized discharge planning and bed management. Automated validation ensures accuracy, while outputs are delivered in actionable formats for clinical and operational teams.

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✅Accurate predictions of inpatient length of stay

 

✅ Improved discharge planning and bed utilization

 

✅ Enhanced operational efficiency in hospital management

 

✅ Reduced risk of overcrowding and delays

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Use Case

Care Gap
Analysis

SIFT’s solution for care gap analysis automates the integration and cleansing of clinical, claims, and demographic data to provide patient-level insights. Predictive and rule-based analytics identify missed preventative care opportunities, enabling care teams to prioritize interventions. The framework ensures data consistency, auditability, and delivers actionable insights directly to clinical workflows.

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✅ Identification of patients with unmet preventative care needs

 

✅ Actionable insights for targeted interventions

 

✅ Automated data pipelines reducing manual effort

 

✅ Improved patient outcomes and care quality

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Use Case

Clinical Quality Reporting

SIFT’s solution for clinical quality reporting automates the aggregation, cleansing, and standardization of clinical and claims data into a unified workflow. Built-in logic aligns metrics with regulatory and value-based care standards, while automated reporting reduces manual effort and ensures accuracy. The framework provides audit-ready outputs and supports continuous monitoring of clinical performance and outcomes.

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✅ Accurate, compliant, and timely clinical quality reports


✅ Reduced manual reporting effort and errors


✅ Real-time tracking of performance metrics and outcomes


✅ Support for value-based care and regulatory compliance


✅ Transparent, audit-ready workflows for governance and decision-making

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MOU Signing Ceremony
Thu Duc College of Technology (TDC) with SIFT Analytics Group

Cooperation Signing Ceremony between TDC and SIFT Analytics Group (HCM, Vietnam)

Strengthening Business Partnerships to Align Training with Real-World Needs

On the afternoon of August 28, Thu Duc College of Technology (TDC) hosted a business cooperation signing ceremony to strengthen collaboration with enterprises in practice-oriented training. The event was attended by Assoc. Prof. Dr. Pham Huu Loc, Principal of TDC, Ms. Phan Thi Thu Thuy, Country Executive Director of SIFT Vietnam, and other industry partners.

Speaking at the signing ceremony, Assoc. Prof. Dr. Pham Huu Loc, Principal of TDC, shared that the Faculty of Economics is currently one of the college’s strongest faculties, offering a wide range of key programs in the economic field.

He emphasized the importance of close collaboration with businesses to ensure training objectives align with industry requirements, while also expressing his hope that enterprises will continue to accompany and support TDC’s long-term development

 

Ms. Phan Thi Thu Thuy, represented SIFT Analytics in the signing of MOU with TDC.

This collaboration underscores SIFT’s role as a strategic partner of TDC, with a shared commitment to advancing education and innovation through the following key initiatives:

 

  • Delivering Data Analytics training programs tailored for business students

  • Providing AI-driven solutions to enhance academic programs, support research, and enable data-driven decision-making

  • Strengthening campus IT operations and service management

Ms. Phan Thi Thu Thuy emphasized:

Beyond being a technology provider, SIFT Analytics is committed to transforming the future of education. We strive to empower students with advanced data analytics skills, providing them with the training and technical expertise needed to thrive in today’s data-driven world.

SIFT mission extends beyond the classroom. We aim to bridge the gap between academic learning and real-world industry demands, ensuring that graduates are fully prepared to succeed.

At SIFT, every partnership with educational institutions represents an opportunity to cultivate talent, foster innovation, and nurture a new generation leaders who will shape the future.

Collaborating with Over 400 Universities:

SIFT Analytics Group (HCM, Vietnam) partners with the education sector to provide comprehensive data analytics, AI, and IT solutions that empower institutions to succeed.

Chat With Our Team
SIFT_Analytics_Next_Gen_AI

SIFT & Alteryx Event

Next Gen Automated AI and Analytics:
The Power of Data Automation

In today’s business world, data is everything. Companies that can quickly analyze and transform their data into useful insights will have a major competitive advantage.

Join us to discover Data Transformation solutions that work for both IT teams and business leaders. Learn how to prepare data, analyze it, and create AI-powered reports using the latest Alteryx One platform.

Key Highlights You Can’t Miss

  • Automate workflows that work for you
    Eliminate repetitive tasks and get things done faster, more accurately, and effortlessly. 
  • Unleash the power of AI and Machine Learning
    No technical background needed—just a few clicks to get smart, reliable analytics with Alteryx. 
  • Transform messy data into actionable insights
    Learn how to clean and analyze data to uncover strategic answers instantly. 
  • Live Demo with Experts
    Join a live on-stage demo and experience the power of data analytics firsthand.

Who Should Attend

  • IT and Data teams who want to manage data systematically
  • Business teams and executives who need insights for decision-making
  • Data Analysts, Data Engineers, Business Analysts
  • Organizations looking for easy-to-use AI + Analytics tools that actually work

Event Details

Date: 30 September 2025 (Tuesday)

Time: 1:00 PM – 4:00 PM

Venue: Siam Kempinski Hotel Bangkok (Boardroom, 2nd Floor)

Important

  • Limited to 2 participants per company.
  • The email you receive after registration is not a confirmation of your attendance. Please wait for our team to contact you to confirm your participation.

Register Here: Limited seats available

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    Agenda

    SIFT_Analytics_Freshworks

    The EDUtech CIO Roundtable

    22 August 2025, SIFT Analytics Office

    Modernize Campus Experience with AI-Driven Service Management
    and Full IT Asset Visibility

     

     

    The EDUtech CIO Roundtable is an exclusive, invitation-only event designed for education leaders and IT service delivery professionals. 

     

    Join us for a delightful high tea reception as we share how you can modernize the campus experience—enhancing IT services for students, faculty, and staff through AI-driven service management.

    Participants will gain insights into:


    – Manage campus IT and Non-IT processes in a single platform

    – Modernize and Optimize Assets

    – Use Cases & Live Demo

    Agenda

    Explore how institutions are streamlining IT service delivery and improving user experiences through AI-powered solutions.

    Why Attend

    Attending the EDUtech CIO Roundtable offers practical and valuable insights into how leading institutions are modernizing their IT service and asset management to better support students, faculty, and staff. 

    Who Should Attend

    • IT Leaders & Managers
    • Education Practitioners
    • Academic and Researchers
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    SIFT AI DEMO DAY
    The Next Wave of GEN AI
    — Practical and Proven for Real Impact.

    SIFT AI Demo Day returns for its 2nd edition, you will explore latest AI applications that are transforming industries today. What’s different about this exclusive event is that you will rapidly discover the latest AI tools, solutions, and use cases, all in a single event. 

    AI is at the forefront of strategic discussions, but many leaders face a harder truth: the challenge of deploying data effectively. This is why this event matters,  especially for leaders like you who want to drive real AI impact.

    • To cut through the noise, bringing clarity to what AI means for your business.
       
    • To showcase what works for you, presenting several proven solutions that address your challenges.

    • To accelerate your AI journey, we give you the strategies, demos, and insights needed to move from exploration to execution with confidence.

    Who is Attending

    Join fellow leaders to navigate this AI journey strategically with latest trends and insights.

     

    Attendees include CEOs, CTOs, CDOs, and senior leaders such as Heads, VPs, and Directors, from both the commercial and public sector.

     

    Why You Should Attend?

    Beyond the live AI demos, you will connect with visionary peers, thought leaders, and disruptors. Gain powerful insights, anticipate change, and return with the strategies and ideas to shape the future of your industry.

     

    Event Details

    Date: 16 October 2025 (Thursday)

    Time: 1:30 PM - 5:00 PM

    Venue: Mandarin Oriental, Atrium Suites 2 & 3, Level 1
    5 Raffles Ave, Singapore 039797

    Register Here

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      Sponsorship Partners

       

      Venue: 

      Mandarin Oriental, Atrium Suites 2 & 3

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      Alteryx Workshop

      Automating Data Validation and Compliance for BFSI

      15 August 2025, SIFT Analytics Office

      Designed specifically for BFSI leaders and finance professionals, this session showcases how analytics automation can dramatically streamline and enhance financial workflows in areas like data validation and compliance.  


      For faster, more accurate financial reporting and insights, you don’t need to be a data expert or have BI development skills. Auto Insights does the heavy lifting, and we will show you how.


      Discover how leading banking, finance, and insurance organizations are automating critical operations and walk away with practical insights to drive meaningful impact in your own organization.

      The workshop covered:

      ✔ Automate data validation and quickly clean financial data from multiple systems and spreadsheets

      ✔ Automate Risk Compliance for improved audit readiness and operational efficiency.

      ✔ Leverage Auto Insights to uncover trends, anomalies, and outliers in your financial data – automatically

      ✔ Empower teams with self-service analytics while maintaining governance and compliance

      Agenda

      Why Attend

      This workshop is tailored for BFSI leaders and finance professionals seeking to explore the latest trends in data validation and compliance that can potentially automate operations, minimize risk, and scale compliance across their organization.

      Who Should Attend

      • BFSI Leaders (CEO, CIO, CTO)
      • Risk & Compliance Managers
      • Finance Managers
      • Data & IT Managers

      AIBP Conference & Exhibition 2025

      16-17 July 2025, Eastin Grand Hotel Phayathai

      SIFT Analytics Group, in collaboration with Qlik, participated in the 25th ASEAN Innovation Business Platform (AIBP) Conference & Exhibition held at Eastin Grand Hotel Phayathai, Bangkok. 


      During the event, we showcased our latest Qlik data analytics solutions and delivered a featured session titled: “Do Data Differently: From Raw Data to Real Business Impact” presented by Mr. Poomchai Jitchai and Mr. Daniel Dae Wah.


      The session focused on transforming raw data into actionable business outcomes and included real-world case studies on how organizations are successfully implementing data analytics. Attendees gained insights into building a data-driven culture and leveraging analytics for smarter decision-making.


      A big thank you to everyone who visited our booth and joined the session — we’re excited to continue empowering businesses through data!


      SIFT Analytics Group offers comprehensive end-to-end services, from strategic consulting, system implementation and customization, team training, to solution development by our data analytics experts, and ongoing post-sales support to ensure your organization maximizes the benefits from data analytics.

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      Speakers

      Speaker_PoomchaiJitchai

      Poomchai Jitchai

      Analytics Consultant, SIFT Analytics Group Thailand

      With over four years of experience in data analytics, Poomchai specializes in analyzing and predicting data trends. He has supported users in the F&B industry by preparing data for dashboard development. Leveraging expertise gained from a master’s degree in data science, Poomchai has contributed to a range of data analysis projects, guiding clients in the creation of machine learning models across sectors such as retail and government. His comprehensive approach to data analysis enables the delivery of end-to-end solutions that enhance organizational efficiency. This breadth of experience has provided him with a holistic understanding of business frameworks, allowing him to deliver impactful results for clients.

      Speaker_DanielDaeWah

      Daniel Dae Wah

      Data & Analytics Consultant, SIFT Analytics Group Thailand

      A seasoned Data Engineer bringing over 7 years of experience in delivering impactful data
      solutions across industries such as Real Estate, Retail, Hospitality, and more. With a strong
      foundation in both business understanding and technical execution, helping organizations
      tackle their most pressing data challenges.


      Combining expertise in data engineering, specializing in building end-to-end data solutions that
      turn raw data into business-ready insights. From architecting robust data pipelines and
      performing advanced data transformations to crafting intuitive dashboards, readily simplifying
      complex data environments. With the ability to merge back-end engineering with front-end
      analytics ensures seamless, scalable, and insightful reporting tools that empower decision-
      makers at every level.