Ascendiv Sdn Bhd is a Malaysia-based consulting firm built on a data-first philosophy, underpinned by its proprietary AI and data-first framework. The firm supports public service agencies and financial institutions in moving from manual, siloed decision-making to evidence-based management. By embedding data architecture, analytics, AI tools, and governance as core components of its consulting engagements, Ascendiv enables clients to modernize operations, enhance transparency, and sustain continuous performance improvement.

Ascendiv’s clients, including public sector agencies and financial institutions, faced fragmented data across multiple systems, inconsistent reporting, and limited executive visibility. Public sector organizations struggled to reliably evaluate service demand, throughput, and operational bottlenecks, constraining progress toward operational excellence and continuous improvement.

The financial institutions’ data scattered across lending, finance, customer, and departmental systems was preventing a unified view of portfolio performance, market segments, and operational trends. In both cases, the absence of a cohesive, enterprise-grade data foundation limited the strategic clarity, slowed reporting cycles, and made it difficult to consistently embed AI and analytics into decision-making processes.

Ascendiv selected Alibaba Cloud to implement its AI and data-first framework at scale, with a strong emphasis on productivity and speed of insight. Alibaba Cloud’s Quick BI Smart Q Solution was adopted as the core analytics and intelligence platform to rapidly unify data, enable high-productivity self-service reporting, and provide natural-language access to insights without reliance on manual reporting. The solution also accelerates data engineering by assisting with SQL generation, data modelling, and dashboard creation.

As a result, Alibaba Cloud’s Quick BI Smart Q Solution provides a robust, cloud-native foundation that consolidates disparate data sources, automates analysis, and embeds real-time intelligence into day-to-day operations across both public sector and financial services clients.

Guided by its AI and data-first framework, Ascendiv implemented a layered architecture on Alibaba Cloud. Alibaba Cloud’s Quick BI Smart Q Solution was established as the core analytics and integration layer, consolidating operational and financial data from multiple systems into unified, enterprise-wide dashboards. This significantly boosted productivity by standardising metrics, automating dashboards, and enabling rapid iteration of analytical content.

The solution was integrated to allow client teams to query daily service patterns, portfolio behavior, and departmental performance through conversational, natural-language interactions, drastically reducing time spent on manual reporting. At the same time, it supported client data engineers and analysts by assisting with SQL generation, analytical logic, and visualizations, thereby accelerating dataset preparation and dashboard development.

This end-to-end setup enabled public sector and financial services clients to gain clear visibility into service patterns, operational bottlenecks, and portfolio performance within a single, high-productivity business intelligence environment.

● Unified BI Foundation: The solution established a unified business intelligence layer using Alibaba Cloud’s Quick BI Smart Q Solution, significantly increasing analytics productivity through automated dashboards and standardized reporting across departments.

● 50% Faster Reporting: Reduced the time and effort required for manual report preparation by approximately 50% by enabling self-service, natural-language analytics for both operational teams and management.

● Accelerated Delivery: Accelerated data engineering and analytics asset delivery, shortening the cycle from raw data to insight-ready datasets and visualizations from weeks to hours.

● Real-Time Public Sector Insights: Public sector clients’ leadership teams gained real-time visibility into service patterns, peak periods, and operational bottlenecks, enabling evidence-based interventions and clearer operational guidelines.

● Integrated Financial Intelligence: The financial services client obtained an integrated view of portfolio trends, revenue patterns, customer segments, and operational metrics, strengthening strategic planning, resource allocation, and performance oversight.

● Scalable AI & Data Foundation: Across both sectors, the AI and data-first foundation provided a stable and scalable platform to support long-term analytics maturity and responsible AI adoption.

Ascendiv plans to deepen its collaboration with Alibaba Cloud by expanding the adoption of Alibaba Cloud’s Quick BI Smart Q Solution across additional public sector and financial services clients. Future efforts will focus on embedding more advanced AI-driven analytics, automating specific decision workflows, and further strengthening self-service analytics capabilities.