Data with a Soul

The Many Faces of Data Visualization By Rich Hunzinger Data Visualization has become one of the common "buzz" phrases swirling around the internet these days. With all of the promises of Big Data and the IoT (Internet of Things), more organizations are making an effort to get more value from the voluminous data they generate. This frequently involves complex analysis - both real time and historical - combined with automation. A key factor in translating this data into actionable information, and thusly into informed action, is the means by which this data is visualized. Will it be seen in real time? And by whom? Will it be displayed in colorful bubble charts and trend graphs? Or will it be embedded in high-detail 3D graphics? What is the goal of the visualization? Is it to share information? Enable collaboration? Empower decision-making? Data visualization might be a popular concept, but we don't all have the same idea about what it means. For many organizations...

Exploring the Root Cause of Medicare Claims Fraud Interoperability has become the new buzz word within healthcare.  The goal is admirable: use computer systems to easily exchange data.  It sounds so simple.  We are even at a place with machine learning and artificial intelligence where all kinds of information can be easily shared.  So it makes me stop to think, why is Medicare fraud still so prevalent.  If we are sharing information and we can detect patterns, then why are we still having this issue.  It seems that the answer lies in the fact that while the capability exists, the willingness to share data across the right platforms still is not being done.  One carrier may have data within its organization while one regulatory body may internally share information and on the other hand providers respectively share information among one another.  Yet, if the American healthcare system is not a system at all, in that all the parts do not integr...

How Data Visualization Helps Enhance the Value of Business Intelligence By Frank Poladi With massive amounts of data available both internally and externally, making sense of the information isn't easy. However, business intelligence (BI) tools make it easier. With a robust BI solution in place, it becomes possible to mine data from diverse databases for insights, trends, and analysis. Business intelligence is hot right now, but not all BI solutions are created equally. As powerful as these tools are and as richly detailed as reports may be, the results can be difficult for the average manager to decipher - and more importantly, use. Fortunately, it's not necessary to puzzle over stacks of business intelligence reports when you have a solution that includes data visualization tools. What is data visualization? Visualizations are a graphical way of displaying data such as pie charts, bar charts, and trend lines. In addition to these familiar charts and graphs, data vi...

The Science of Today's Technology, Data Science The Science of Today's Technology, Data Science By Shalini M Technology today... Recently, there has been a surge in the consumption and innovation of information based technology all over the world. Every person, from a child to an 80-year-old man, use the facilities the technology has provided us. Along with this, the increase in population has also played a big role in the tremendous growth of information technology. Now, since there are hundreds of millions of people using this technology, the amount of data must be large too. The normal database software like Oracle and SQL aren't enough to process this enormous amount of data. Hence the terms 'Big data' and 'Data science' were coined. Big data has made quite an impact on the world and data science has recently risen to be one of the hottest topics. Now how are these two related? What is data science? It is the field of science where different...

Let's Talk Data If a tree falls in the forest, can anyone hear it…? If data is perfectly analyzed but no one sees it, does it still impact our world…? To be a thought leader in the data community is just as important as building technical skills.   So talking about data with others is an important part of what data professionals do.  That is why we see so many amazing platforms like Stack Overflow and blogs like Towards Data Science .  Sure, you will find a lot of data and projects featured on this site but what makes them dynamic is the conversations around the data and coding.  I hope this site can be one of those communities; a more intimate version.