DATA SCIENCE
Implementing Fast Healthcare Interoperability Resources (FHIR) for Compliance
“In early March, the Centers for Medicare and Medicaid Services (CMS) and the Office of the National Coordinator for Health Information Technology (ONC) released two sets of rules on information blocking. They made two dramatic changes: patients would be able to more...
Using Big Data for Financial Fraud Prevention
Although technology has made banking more convenient for customers, it has also opened up new avenues for fraud. Financial fraud statistics show that account fraud, credit card fraud, insurance fraud, scams, and other fraudulent acts cause millions of dollars in...
The Role of Big Data in Preventing Healthcare Fraud and Waste
Due to the complexity of medical procedures and the variety of goods and services available today, medical billing is prone to errors and waste. Mistakes in electronic medical records are common, and many patients don’t examine their monthly insurance Explanation of...
Leveraging Data and Analytics in Radiology
Healthcare, indeed, is a complex domain to unravel but it is not impossible. Over time, clinics and hospitals have gathered different technologies to solve different aspects of clinical or medical problems. Now that analytics is the norm of running a more impactful...
13 Digital Transformation Opportunities for Financial Services
Financial institutions may be a part of everyday life in the United States but recruiting and retaining customers isn’t easy. Satisfactory customer experience and customer trust are crucial to banking, investing, and loan services, especially when there are so many...
Applying AI to Process Manufacturing
What do Rolls Royce, Siemens, and General Motors have in common? All of them use Artificial Intelligence to increase production efficiency and reduce costs. According to recent studies, the AI market will reach a fascinating $190.61 billion by 2025, which only proves...
Python & R vs. SPSS & SAS
Although computer programming has improved exponentially in the past several decades, not all programming languages are capable of processing the data used for machine learning. Big data has grown significantly, and the resulting data sets are both larger and more...
Cloud Migration – Is it too late to adopt?
“Action is the foundational key to all success.” – Pablo Picasso No technology gets adopted overnight. On-premise environment provides full ownership, maintenance, responsibility. You pay for physical machines and virtualizations to meet your demands. Lately, such...
The Power of Big Data and AI in the Fight Against COVID-19
The emergence of a novel coronavirus in December 2019 has had the medical community on edge. Public health officials around the world have faced an uphill battle in treating current cases and preventing the further spread of the virus. The 2002 SARS outbreak, and...
Why is Digital Transformation Important for Healthcare?
We’re already three months into the 2020 decade and companies are strategizing about how they can digitally transform to serve their customers better; whether to enhance current business processes, bring new products and services to market or deliver new customer...
How Your Healthcare Organization Can Use Marketing Analytics to Drive Decision-Making in 2020
Although medical treatment is at the core of every healthcare organization’s mission, patient outreach and marketing are essential to its survival. Marketing teams must work hard to strategize, create ad campaigns, and gather data to ensure continuous growth....
Data Science Techniques for Fraud Detection
In a recent post, we discussed the importance of data science techniques for detecting fraud. In short, data science-driven anomaly detection finds suspect behavior, even as fraudsters adjust their behavior. With data science techniques, the people working to prevent...
Big Data Analytics for Manufacturing – Getting Started with Predictive Maintenance
The opportunity of IoT and big data analytics for the manufacturing industry has created new opportunities managing production and the supply chain. However, in terms of a single application of big data analytics, no opportunity has seen as much traction as predictive...
Customer Intelligence: When You Know What Customers Do, You Know How to Help Them
In 2002, the mobile phone camera hit the US market featuring a 0.3 megapixel capability. In 2019, the most popular mobile phones have well over 12 megapixels. A mobile camera’s quality is often measured in megapixels – the points that make up digital images. More...
When Should You Hire a Data Science Consulting Firm Versus Building an Internal Team?
As the trend in data science and big data analytics accelerates, organizations are trying to determine whether they should hire a data science team or hire a data science consulting firm. The good news: the options aren’t mutually exclusive. In fact, you should use a...
Part 1 of 3: A Beginner’s Guide to Container Orchestration
Introduction This article is Part 1 of a multi-part series on Container Orchestration. Part 1 is a conceptual introduction for beginners (if you have little or no conceptual experience with these topics.) Part 1 gives a conceptual foundation on core topics including...
What is Augmented Analytics and What Does It Mean for Business Intelligence?
Have you ever tried to use business intelligence tools to explore a new data set and had no idea where to start? Have you tried to explain a business intelligence visualization and weren’t sure what to say? “Augmented analytics” is the new term, coined by Gartner, to...
Cloud Healthcheck – It’s about the data, stupid
Data is the most valuable asset that any corporation has. Human beings are wired to secure things that they 'perceive' as valuable. As long as companies continue to think of the cloud simply as commodity compute and storage, the level of attention provided to securing...
Data Visualization Tools & Data Science Work Together for Better Business Decisions
In June 2019, two blockbuster data visualization acquisitions — one of Looker by Google for $2.6 billion and the other of Tableau by Salesforce for $15.3 billion — have cemented data visualization tools and the larger field of BI reporting as a critical part of...
How Data Science is Changing the Healthcare Industry
Today’s healthcare industry generates a tremendous amount of data. Leveraging that information, along with advancements in data science tools, can lead to improvements in patient care and experience, reduced insurance fraud, and provide efficiency and monetary gains...
