Intelligent enterprise solutions partner with clients to convert the data deluge to a true opportunity and enable intelligent, informed decision-making. We build platforms like Enterprise data lakes, ML / AI platforms, self-service analytics solutions and identify data partnerships which can deliver various solutions – Personalization, Intelligent Sales, Consumer Insights, Intelligent Automation and Smart Assets. All our solutions are designed for the following three principles:
1. Human-like experiences leveraging the power of AI.
2. Delivery at scale bringing together the best of Brillio technologies to deploy on your cloud or integrate with your front office systems.
3. Design for adoption using
our change management framework to transform the decision-making process.
Brillio’s Enterprise data lake solution approach promises accelerated time to RoI. We design for user personas to ensure the data lake offers tools and features which enable adoption. We architect for escalating concerns of security, compliance and ethical usage of data.
Our Data Analytics Synchronization and Harmonization (DASH) framework helps craft the data strategy, platform architecture, implementation roadmap with a view of TCO to set up the program upfront. Our approach to establish Ingestion Factories help accelerate the journey. During implementation, our data governance framework ensures we handle data quality, data reconciliation, compliance & security, data catalogue and lineage with a view of seamless usage in future. Our data operations model allows us to gradually tend towards a zero-ops model and effectively manage the TCO.
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Many enterprises still spend millions of dollars ineffectively on manually churning out reports on Excel or sustaining reports on legacy BI platforms. Brillio helps them transform to a service BI model and leverage the RoI through transformation and gradually move the needle to delivering business insights and predictability with data science.
Our Data Analytics Synchronization and Harmonization (DASH) framework helps rationalize the reporting requirement for automation, define the platform architecture and change management strategy for the transformation. We bring our experience to help define Analytics Center of Excellence operating models that suit differing needs across various organizations. The CoEs drive change management and transition to Insights Factory as the automation charter takes off.
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The holy grail of personalization requires knowledge of data science and big data to come together. Our Campaign Personalization Solution (CaPS) is a data science solution designed to build micro-segments. It offers banks the best suited recommendations for each micro-segment at the right time based on KPIs the marketing / product teams are trying to improve. We bring our big data expertise to ensure this solution can run in near real time for combination of millions of products and customers.
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Managing sales operations require effective management of pipeline, channel partners, enablement of sales personnel and proactive management of CSAT / NPS. Brillio brings together its know-how of Customer Engagement platforms, big data, data science and visualization to deliver solutions which improve opportunity scoring, sales forecasting and partner fund management. Our NLP lead solution Artemis helps mine proactive insights about customer CSAT and provide white glove services leveraging typical dark data like call center transcripts and product feedback.
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Machine learning so far has been run as heavily invested siloed experiments in many organizations. Platforms and technologies have evolved to run them as an efficient pipeline. Brillio’s framework helps build data science approaches that scale with feature stores, choice of algorithms that fine-balance the need for accuracy, scalability and interpretability. Our open-source lead accelerator for MLOps ensure these models are built for sustainability with model lifecycle automation. We also bring together tools to enable data scientists with reduced friction points to access data and change management approach to build a brand for AI strategy in the organization and drive adoption.
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