epaka.pl built a unified data platform with BigQuery and Looker for real-time insights.The company migrated fragmented data from local servers and rigid SQL databases into BigQuery and used Looker for reporting and analysis.epaka.pl is planning BigQuery ML models to predict churn and connect risk scores back to CRM workflows.
Use case type
Data platform modernization
Uses AI-enabled cloud and data tools to consolidate, rework, or update data infrastructure. It addresses siloed systems, slow analytics, and platforms that are difficult to scale or maintain.
40
40
12
11 mo
Adoption over time
Documented cases per month
By case publish month · completed months only
40 cases documented across 31 months (Jan 24 – Jul 26), peaking at 16 in July 2026.
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
Use cases of this type
10 shown from 40 use cases
Synagie improves ESG/carbon accounting platform using Alibaba Cloud AnalyticDB for PostgreSQL and Energy Expert (Green Retail)
Synagie, a Singapore e-commerce platform, wanted to improve ESG efforts and achieve carbon neutrality while addressing fragmented data systems and high latency in order queries.The company used Alibaba Cloud AnalyticDB for PostgreSQL to build a unified data lakehouse and Alibaba Cloud Energy Expert to calculate emissions, provide optimization recommendations, and support carbon-neutral certification for orders.The platform reduced duplicated data and improved cross-department collaboration, while also supporting low-carbon product categorization and carbon footprint accounting for brand customers.
Swire Properties modernizes multi-location digital transformation with Alibaba Cloud big data and security controls
Swire Properties centralized data governance and visualization across business units and shopping centers using Alibaba Cloud big data, landing zone, and security services.The company addressed data silos, distributed security risks, and the need for stronger user management and auditability while modernizing its cloud footprint.
Techsun expands omnichannel CRM SaaS to Southeast Asia using Alibaba Cloud big data and streaming services
Techsun is a fast-growing CRM, customer data platform, and marketing automation SaaS company that expanded its cloud-native Social Hub product from China into Southeast Asian markets using Alibaba Cloud services.The implementation uses EMR for customer data analysis and profile creation, ApsaraMQ for Kafka for real-time data pipelines, and Alibaba Cloud infrastructure to support scalability, high availability, localization, and security.
Finture (Indonesia) data management and security modernization with Alibaba Cloud
Finture, a leading neobank in Southeast Asia, modernized its data management and security environment to support rapid growth in Indonesia.The company serves credit card and QRIS payment products and needed scalable, high-performance analytics and log processing for operational decision-making.
TELUS built its generative AI platform Fuel iX on Google Cloud to unify siloed data, increase trust in enterprise data, and support proactive problem-solving, customer support, and engineering productivity across the company.
CIBI credit reporting uses Alibaba Cloud services for compliant scalable data management (PH)
CIBI, a Philippine credit reporting agency, used Alibaba Cloud services to support compliant data management, scalable deployment, and lower IT spend.The implementation used local-region infrastructure with Kubernetes, managed databases, networking, and security controls to meet regulatory and PII requirements.
BioNTech accelerates proteomics data processing 500x using AWS Storage Gateway and parallel compute
BioNTech, headquartered in Germany, needed to streamline the storage, organization, and processing of mass spectrometry data for proteomics and immunopeptidomics workflows.The company migrated on-premises data movement and compute workflows to AWS so researchers could process larger data volumes and run many searches in parallel.
Thinknum: Gemini for query optimization and AI guidance during migration; BigQuery/AlloyDB data platform
Thinknum provides alternative data for investment decisioning, with structured datasets built from public web sources and a customer platform for access and visualization.The company migrated its IT infrastructure, data platform, and a 15TB third-party database to Google Cloud in under two months, with BigQuery as the unified data platform and AlloyDB as core storage.Gemini helped optimize database queries and provided best-practice guidance on Google Cloud security and maintenance during the migration.
Citylitics: Predictive intelligence for infrastructure documents using Vertex AI + BigQuery
Citylitics built a predictive intelligence platform on Google Cloud to extract signals from large volumes of unstructured infrastructure project documents.The system combines Vertex AI with BigQuery, Cloud Run, Dataflow, and Cloud Storage to improve signal identification, build recommendations, and scale document ingestion and processing.Citylitics focuses on turning fragmented public data into structured insights that help cities, utilities, and AEC firms make better infrastructure decisions.
Common questions
Data platform modernization at a glance
- How many data platform modernization use cases are documented?
- The AI Use Case Hub documents 40 real data platform modernization deployments across 12 industries, with 40 detailed company examples you can browse.
- Which industries adopt data platform modernization the most?
- Data platform modernization is most common in Finance (25%), Tech & Comms (23%) and Retail (8%).
- Which countries lead in data platform modernization?
- United States leads documented data platform modernization deployments, followed by China and Germany.
- What technologies are used for data platform modernization?
- Teams most often build data platform modernization with BigQuery, Microsoft Fabric and Alibaba Cloud DataWorks.
- What AI capabilities power data platform modernization?
- Across the documented deployments, the most common capability patterns are Agent (18%), Microsoft Fabric (15%) and RAG (8%).
- What results do companies report from data platform modernization?
- Across the 40 deployments reporting outcomes, companies most often cite cost efficiency (45%), other strategic outcome (40%) and scale & capacity (40%). Where impact is quantified, the strongest evidence is in time & speed: a median −53% across 4 reported metrics.