How Design Thinking Bookends Data Science
Hallelujah brother, I’ve seen the light! I’m a HUGE believer in the liberating mindset of Design Thinking. For example, Design Thinking not only makes Data Sc...
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What is data governance?
Data governance is the process of managing the datas usability, security, availability, and integrity within an organization using internally set and enforced rules a...
Data Science Applications
The advent of the digital age is considered one of the most revolutionary eras in human history. The digital revolution colloquially called the third industrial revol...
Data Collection Services Assisting Organizations to Achieve the Right Business Impact
The digital era calls for every business process, decision, and action to be fed with analytics. Data-spewing technological innovations have led to abundant availability ...
AI Robotization with InterSystems IRIS Data Platform
Fixing the terminology A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the latter softens the initial d...
Central Limit Theorem for Non-Independent Random Variables
The original version of the central limit theorem (CLT) assumes n independently and identically distributed (i.i.d.) random variables X1, …, Xn, with finite varianc...
Get SAP Data Dressed for Success in Google Cloud: How Breuninger Delivers Real-Time Data in an Automated Fashion
“Data is the new water” – powering many organizations to turn on the tap for digital transformation. To enable data driven processes, it is imperative to reveal...
The risk of using ‘half-baked’ data to address the challenges posed by COVID-19
As COVID-19 rampages across the globe it is altering everything in its wake. For example, we are spending on essentials and not on discretionary categories; we are saving...
What is data analysis and why is it important?
Data analysis is the process of evaluating data using analytical and statistical tools to discover useful information and help you make business decisions. There are seve...
Abstraction and Data Science — Not a great combination
Abstraction: some succinct definitions. “Abstraction is the technique of hiding implementation by providing a layer over the functionality. Abstraction, as ...