Data & AI Solutions for Businesses
Transforming data into strategic action with advanced analytics, AI and tech solutions
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Data Analytics & Strategy
01
We help businesses build a unified analytics vision converting raw data into insights that drive revenue, reduce inefficiencies, and improve decision-making at every level.
- Data Consulting, Provisioning & Enrichment: We begin by auditing your existing data landscape. Our consultants assess quality, structure, and accessibility to define the optimal analytics stack. Where gaps exist, we enrich datasets using third-party sources or internal cross-system stitching. Clean, reliable data is the foundation for trustworthy insights.
- Audience Segments & Insights: We apply advanced clustering techniques and behavioral modeling to segment users with precision. Using techniques like cosine similarity and vector embeddings, we help brands in Asia understand their customers’ intent, affinities, and lifetime value. Segments are made actionable, feeding into personalisation engines, ad platforms, and CRM systems.
- Business Insights: We uncover trends, anomalies, and performance drivers by applying predictive models, cohort analysis, and anomaly detection. Insights are translated into revenue opportunities and operational efficiencies. Whether forecasting demand in Southeast Asia or identifying churn risk in Japan, our analysis supports fast, data-backed decisions.
- Enterprise Analytics: We design and deploy analytics dashboards that connect KPIs to executive-level decisions. With centralised reporting across departments and geographies, leaders gain real-time visibility. Dashboards are built on scalable BI tools like Power BI, Tableau, and Looker—tailored for regional data formats and workflows common in Asian enterprises.
Data Management & Engineering
02
Strong data infrastructure underpins all analytics. We implement big data architectures and cloud warehouses so businesses can store and process vast datasets. A modern data platform might include scalable ETL pipelines, cloud data lakes, and real-time integration. This ensures data is accurate, accessible and up-to-date for analytics teams.
- Big Data Implementation: We build distributed systems that process large volumes of structured and unstructured data with high velocity. Our team configures big data ecosystems such as Hadoop, Spark, and Kafka to handle data generated from multiple sources.
- Data Engineering & Data Pipeline: We design, build, and manage automated pipelines that extract, transform, and load (ETL/ELT) data efficiently. These pipelines are tailored to your operational context, ensuring seamless ingestion from APIs, logs, cloud apps, and databases. We prioritise real-time and batch data processing to support analytics-ready outputs with high reliability.
- Data Warehousing: Our cloud-based and hybrid data warehousing solutions support scalable storage and structured querying for business intelligence. Using platforms like Snowflake, Google BigQuery, Redshift, and Azure Synapse, we create centralised repositories that allow businesses to manage historical and current data in a single source of truth.
- Cloud Implementation: We help companies migrate and modernize their data infrastructure on cloud platforms (AWS, Azure, GCP). Our cloud-native architectures optimise for performance, availability, and cost-efficiency. We also ensure compliance with regional regulations on data residency and security, which are crucial for businesses operating in Asia.
Turnkey Data Analytics Solutions
03
Time-to-value is critical. Our turnkey analytics solutions deliver ready-made tools tailored to specific industries and markets in Asia. Instead of building everything from scratch, businesses can deploy pre-built modules and dashboards to jump-start insights. These solutions typically include:
- Pre-built analytical modules: Plug-and-play components for common use cases (sales forecasting, inventory optimisation).
- Industry-specific dashboards: Visual reports designed for sectors like retail, finance or manufacturing.
- Location & network planners: GIS-based analytics for retail expansion or logistics in Asian cities.
- Customer profiling & device analytics: Tools to analyse demographics and device usage across markets.
Customer Data Platform (CDP)
04
To engage customers across channels, many APAC brands are turning to CDPs. A CDP creates a 360° customer view by unifying data from online and offline touchpoints. This is crucial in markets like Asia where omnichannel retail and mobile commerce are prevalent.
- CDP platform licensing & integration: Setting up the right CDP software and linking it to CRMs, ecommerce, and marketing channels.
- Unified customer profiling: Merging data (purchase history, web behavior, social data) to form single customer identities.
- Real-time segmentation & personalisation: Using AI to categorise customers and trigger individualised campaigns.
- Strategy & consulting: Advising on privacy compliance and CDP use cases tailored to Asia’s regulations and markets.
- Tech services & support: Custom development, API integrations and ongoing optimisation.
Data Analytics & Strategy
01
Unlocking the power of data and turning it into actionable insights
- Data Consulting, Provisioning & Enrichment
- Audience Segments & Insights
- Business Insights
- Enterprise Analytics
Data Management & Engineering
02
Empowering informed decisions through advanced data engineering and robust management solutions
- Big Data Implementation
- Data Engineering & Data Pipeline
- Data Warehousing
- Cloud Implementation
Turnkey Analytics Solutions
03
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Industry-tailored, turnkey data solutions enabling speed to market
- Pre-built Analytical Modules
- Industry Dashboards
- Location Planner
- Consumer Profiler
- Device Insights
Customer Data Platform (CDP)
04
Turning data into personalised action with 360-degree customer views
- CDP Licensing
- CDP Strategy & Consulting
- CDP Tech Services
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Case Studies
FAQ
What is the relationship between data and AI?
Data is the foundation for AI, providing the necessary information and insights for AI systems to analyze, learn, and make informed decisions, ultimately driving intelligent automation and problem-solving.
How does AI contribute to improving data processing and analysis?
AI enhances data processing capabilities by automating complex tasks, identifying patterns in data, and extracting valuable insights from new and relevant data, thereby streamlining decision-making processes and fostering more efficient and accurate analyses.
Why is data crucial for AI, and how does it support AI functionalities?
Data is essential for training and improving AI algorithms and machine learning models. The availability of comprehensive and diverse data sets enables AI systems to recognize patterns, make predictions, and generate actionable insights, thereby enhancing their overall performance and accuracy.
Can AI effectively analyze complex data sets, and how does it facilitate data analysis?
AI has the capability to analyze large and complex data sets by utilizing advanced machine learning and deep learning techniques. Through sophisticated algorithms, AI systems can identify intricate patterns in data, extract valuable information, and provide meaningful insights that contribute to informed decision-making processes.
Will AI eventually replace the need for big data, and how does AI's role complement big data analysis?
AI and big data are complementary, with AI leveraging big data to derive meaningful insights and make informed decisions. While AI enhances the analysis of big data by uncovering complex patterns and trends, it does not replace the need for big data; rather, it facilitates more sophisticated and efficient data processing and analysis.
How can an AI system facilitate the integration of data and artificial intelligence to drive business growth?
An AI system is the cornerstone for leveraging the potential of data and artificial intelligence, enabling businesses to process large volumes of data efficiently and derive valuable insights for informed decision-making, leading to sustainable business growth.
What are the key benefits of combining AI and big data, and how do they contribute to enhancing business analytics?
Integrating AI and big data allows businesses to leverage a diverse range of data sources and employ advanced analytics tools, enabling them to extract valuable business insights, predict future trends, and make data-driven decisions that foster business growth and innovation.
How do data and AI work together to improve business performance, particularly considering the wide variety of data available from multiple sources?
The collaboration between data and AI facilitates the identification of patterns and trends within large volumes of data, empowering businesses to make informed decisions, personalize customer experiences, optimize operational processes, and ultimately drive significant improvements in business performance and productivity.
What role does big data analytics play in harnessing insights from diverse data sources, and how does it drive sustainable business growth?
Big data analytics serves as a crucial tool for processing and analyzing vast amounts of data from multiple sources, enabling businesses to identify market trends, customer preferences, and operational inefficiencies, thereby fostering data-driven strategies that lead to sustainable business growth and enhanced competitiveness.
What are the effective strategies for businesses to optimize data management practices and leverage the combined potential of data and AI for driving growth and staying competitive in the market?
Businesses can optimize their data management practices by implementing robust data governance frameworks, leveraging advanced AI algorithms for data analysis, and fostering a culture of continuous learning and adaptation, thus ensuring the effective utilization of data and AI for driving growth and maintaining a competitive edge in the market.
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WeWork Beach Centre, C/O ADA Digital Singapore Pte Ltd, 15 Beach Road, #02-01 Singapore 189677
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Level 10, Axiata Tower, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur
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