Transforming from Traditional Business Intelligence to Self-Serve BI


One Minute with Ruble Joseph

VP - Global Data Science Consulting at eClerx

Current business intelligence processes can often take a vast amount of time as teams sort through data searching for usable insights. With new self-serve business intelligence solutions, teams are able to greatly reduce this cycle time and drive efficiencies across decision-making.

In this one-minute video, Ruble Joseph, VP of Global Data Science Consulting at eClerx Digital, highlights the impact that self-serve business intelligence offers businesses and shares what teams can expect from investing in these solutions. 




Transcription of the Video

Business intelligence teams still spend most of their time traversing the cycle time from data to insights, based on looking at ready-to-use insights and making decisions out of that. However, most mature organizations are now envisioning a self-serve BI solution that is either fully or at least semi-automated. This is being enabled by advancements in tools and platforms, design thinking approach to BI, and automations that enable this.

High-quality BI-ready data that is powered by data engineering pipelines that are robust, strong KPIs that are insightful and intuitive deep dive metrics, next-gen visualization, storyboards, dashboard automations and scenario planners, and advanced features like forecasting, anomaly detection, and alert mechanisms.

Most clients have realized a 30 to 40 percent decrement in the cycle time from data to insights, and more importantly, decision-makers identify 10 to 12 percent more action areas and anomalies, leading to improved performance across marketing, sales, and operational metrics as well.