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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

3 Steps to Build an AI Foundation

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...

Why Quality Data Should Drive your Management Science Approach

What is management science and why does it require quality data?  The big idea: Business users operate more efficiently when their management science practice is backed by...

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...

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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...

By submitting this form, you agree that you have read and understand Apexon’s Terms and Conditions. You can opt-out of communications at any time. We respect your privacy.