7-Step Guide to Implementing Front-End Dashboards in BFSI Organizations
In the dynamic landscape of BFSI (Banking, Financial Services, and Insurance) organizations, data is the key to unlocking growth and success. Having access to real-time,...
Data Services
Overcoming Data Quality Challenges in Healthcare
Data quality is critical to healthcare as it is sensitive in nature and is also governed by regulations. However, it is not so easy to achieve considering different varieties,...
A Complete Guide to Data Pipelines
Data pipelines are designed based on data volumes, their purpose of movement, and dynamics of usage. Data pipeline design patterns create the foundation for the development of a...
The First Rule of Data Governance is: Don’t Talk About Data Governance
The first rule of data governance is: don’t talk about data governance. But then how do we do it? Let me start with my “A-ha” moment. About 10 years ago, the...
5 Practical Ways to Improve Data Governance for Financial Institutions
Good data governance is supposed to help financial services companies control their data, improve compliance, and adapt more quickly to the near-constant changes of the financial...
Data Governance vs Data Management
This article will talk about the need for maturing the QA process from Ad-hoc to optimization and how this can help enhance testing in the software development environments....
3 Steps to Build an AI Foundation
An artificial intelligence (AI) strategy is only as strong as the foundation on which it is built. Having a solid AI foundation leads to quicker implementation of AI and greater...
5 Ways Visualization Can Up Your Reporting
Our brains were not designed to comprehend vast amounts of written information. Visualization helps us see the story the data is telling, enabling highly effective reporting...
Integration of Wearable Devices with EHR
Real-time integration between Electronic Health Records (EHR)/Electronic Medical Records (EMR) and wearable devices helps physicians monitor patients remotely and improve their...
Architecture for High-Throughput Low-Latency Big Data Pipeline on Cloud
In the era of Big Data, these pipelines must provide not only accessibility and efficiency to data, but also high-throughput and scalability while maintaining low-latency. This...
Is Your Organization Ready for Cloud? This Tool Can Tell You
The Big Idea The cloud computing market is expected to reach $623 billion by next year. This article will help you discover how to check your cloud readiness using Amazon Web...
Feature Scaling for ML: Standardization vs Normalization
The big idea: Data today is riddled with inconsistencies, making it difficult for machine learning (ML) algorithms to learn from it. Organizations need to transform their data...
Big Data Integration: Challenges, Techniques, Best Practices
Did you know each person living on this earth today who is using digital equipment can easily produce over 1.7MB of data every second of the day? Experts predict that this number...
7 Data Quality Best Practices to Boost Enterprise Decision-Making
The adage, “trash in, trash out” is often used to summarize the need for quality data inputs to get reliable, valuable outputs. It is pointless to expect an algorithm to...
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