- info@infinfosoft.com
- +65 8261 7094
We are creative, ambitious and ready for challenges! Contact Us
We are creative, ambitious and ready for challenges! Contact Us
Over 10 years we help companies reach their financial and branding goals. Engitech is a values-driven technology agency dedicated.
411 University St, Seattle, USA
engitech@oceanthemes.net
+1 -800-456-478-23
34% reduction in data processing time
Three of our clients are using our this customized technology.
Our customers are prominent financial institutions those offer retail banking, corporate banking, wealth management, insurance, brokerage services, and more.
Detailed information about the client cannot be disclosed under the provisions of the NDA.
The foundation of the data lake, the bronze layer, contains raw data ingested from various sources like JSON files, RDBMS, and more, securely stored in its original form. Based on the bronze layer, the silver layer refines this data, cleansing and normalizing it for advanced analytics. Ultimately, the pinnacle of the data structure, the gold layer, contains business-level aggregates for high-level reporting and dashboarding, enabling the bank to generate actionable insights.
Our project team identified all potential data sources, including transactional systems, customer databases, online portals, and more. Our specialists mapped each data source, understanding its format, update frequency, and relevance. As the core step, we developed automated data ingestion pipelines using ETL (extract, transform, load) tools to handle different data formats like CSV, JSON, XML, and RDBMS. Depending on the nature of the data source, we established real-time or batch-processing pipelines.
Real-time pipelines were used for data streams that required immediate processing (like transactional data), while batch processing was reserved for less time-sensitive data. As data entered the bronze layer, it underwent an initial validation process, checking for integrity, format consistency, and any corrupt or incomplete records.
At this stage, our project team focused on enriching the raw data from the bronze layer and transforming it into a more structured and usable format. Our vetted developers identified and corrected typographical errors, data format inconsistencies, and discrepancies, as well as removed duplicate records to avoid misleading insights. We implemented data imputation and flagging strategies for datasets with missing values, sending these records for further review depending on the nature and significance of lost data.
Then, our project team enhanced the data by adding relevant context or additional information. For example, we augmented transaction data with customer demographic information, enabling a more comprehensive analysis. Once data was refined and aggregated, we applied indexing techniques for faster querying and retrieval. Finally, data from different sources are cross-referenced and linked, while similar information from various sources is consolidated into unified datasets, making it easier to perform holistic analysis. By ensuring the data is clean, consistent, and well-structured, we paved the way for advanced analytics and business intelligence in the gold layer.
The gold layer is the apex of our data lake architecture, where data is transformed into analytics-ready information specifically tailored for high-level analysis, reporting, and decision-making. Data from the silver layer is further aggregated to create comprehensive, high-level summaries. We focused on summarizing data in ways that align with key business metrics and objectives, such as credit risk assessments, market trends, or customer segmentation.
Our developers designed and implemented interactive dashboards and reports, giving the bank’s decision-makers real-time insights and visualizations. With a focus on security, we established a robust data governance framework to manage the data’s quality, usability, and security. Our engineers ensured scalable architecture, accommodating growing data volumes and complexity without degradation in performance and maintaining the integrity and reliability of the analytics output.
In the gold layer, we turned data into a strategic asset, allowing the bank to make informed decisions, better understand customer needs, and stay ahead in the competitive banking industry.
Thus, based on refined banking-related data, Innowise enabled the client to implement the Next Best Action (NBA) and Next Best Offer (NBO) methodologies. NBA prioritizes a customer-centric approach, analyzing recent interactions to suggest the most suitable actions, including sending birthday messages, improving service quality, gathering feedback, providing onboarding instructions, and more. By leveraging predictive analytics, NBA selects actions tailored to the customer’s current situation, aiming for positive outcomes. In turn, NBO optimizes the selection of personalized offers from a client’s extensive product range. NBO automatically evaluates and suggests products likely to resonate with customers by delivering offers at the right time, price, and through the most effective channels.
Additionally, our developers consolidated data from different tables and models stored in the data warehouse to create comprehensive, cohesive, and practical profiles for each customer, enabling better-informed decisions and actions. The comprehensive and thoughtful approach to managing analytics-ready data ensures that the bank can leverage its data to its fullest potential, increasing conversion rates and driving growth.
Cloudera Data Platform, Hadoop, Spark, Airflow
Python, Fast API, Scala, Akka
MS SQL Server, Oracle
Power BI, SSRS, QlickView
We hire and build your own remote dedicated development teams tailored to your specific needs.
At INFINITY INFOSOFT, we believe software is more than just technology—it’s a transformative force that empowers businesses and reshapes industries. Partner with us to unlock your digital potential.