Data Management
CPG R&D: the next big opportunity for digital transformation
Consumer Goods and F&B enterprises are hitting a critical innovation bottleneck. Traditional R&D strategies are failing to keep pace with market dynamics—product…
The top Data Engineering trends to look for in 2025
The global big data and data engineering services market size is predicted to be worth $276.37 Billion by 2032, fueled by rapid…
Achieving decision autonomy with Data Democratization framework leveraging Databricks
According to McKinsey, data-driven organizations can boost their EBITDA by as much as 25%. However, only 8% of these organizations effectively scale…
Enhancing liquidity risk control with next-gen data management solutions
Banks need data-driven frameworks that enable real-time insights, precise stress-testing, and proactive risk mitigation to ensure operational resilience, regulatory compliance, and robust…
How data-driven strategies can strengthen risk management in corporate banking
For decades, risk management relied heavily on historical data and reactive measures. Loan approvals were based on heuristic records, fraud detection focused…
6 data engineering fundamentals to accelerate generative AI deployment in banking
Generative AI-based models are quickly becoming essential solutions for enhancing operational efficiency, improving customer experiences, and mitigating risks in the banking and…
Best practices for faster development of data pipelines on Databricks using dbx
The efficient development of data pipelines is critical for businesses to extract actionable insights from their data. Inefficient data pipelines can result…
Scalable data architecture to create seamless digital banking experiences
The need for seamless banking experiences and personalized services is driving banks to leverage data and analytics for effective decision-making. According to…
Defining the right data analytics KPIs to drive business success
Business leaders often find it challenging to determine the right success metrics to assess the impact of Data and Analytics(D&A) programs. A…