Thanks to ever-evolving advancements in modern medicine, many diseases and medical conditions with severe sequelae can now be treated through therapies not yet on the market. The clearest example of this was patients getting early access to the COVID vaccines during trials that undoubtedly saved lives. But while a clinical trial may potentially save a patient’s […]
Operational Data Analytics Extends Finance’s Value
Futuristic films, such as the new “Doctor Strange in the Multiverse of Madness,” are a fun look into what the future might hold. But outside the cinema, we’re seeing shifts in what’s possible right now. By leveraging operational data that’s collected throughout their very own organization, finance leaders are transforming the finance function and extending the […]
Putting Theory into Practice: What’s Next for AutoML?
Automated machine learning (AutoML) is no longer a new topic, but it’s still a growing trend in terms of the impact it’s having on businesses and employees. The main idea of AutoML is that it can help democratize data and data processes, providing people from any level or department of a business with the tools and platforms they need to […]
Data Science vs. Decision Science: A New Era Dawns
Data Science vs. Decision Science: Basic Descriptions In Data Science, a variety of advanced technologies like data mining, statistics, predictive analytics, AI, and machine learning are used in conjunction to deliver solutions for business problems. In Decision Science, analyzed data is “interpreted” to arrive at business decisions that meet specific objectives. So while Data Science […]
Fundamentals of Descriptive Analytics
In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. The most common example of descriptive analytics is the reports that a user gets from Google Analytics tools. A web server’s summarized performance reports may help the user analyze […]
Bringing Data Science into the Organization
In a nutshell, Data Science accelerates business growth. Sudeep Rao, offers solid evidence of this by stating that worldwide nearly $30 billion is invested annually for artificial intelligence (AI) and machine learning (ML) projects. A BI and analytics survey indicated that 94% of the survey participants reported “data and analytics” as important factors for the […]
Hyperautomation Projects Will Unleash the Next Phase of Digital Transformation
Digital transformation powered by automation has changed the way organizations around the world operate. It’s sped up product and service delivery. It’s created operational efficiencies throughout the business. But automation has its limits. Traditional automation uses tags and triggers to initiate the next event in a sequence. It certainly keeps things moving, but it falls […]
What Is Business Intelligence?
Business Intelligence (BI) includes the technologies and tools used to analyze and report on different business operations. Business Intelligence uses raw data stored in varying data warehouses, data marts, data lakes, and other storage platforms, and transforms it into actionable knowledge/information assets. Such elements include dashboards, spreadsheets, data visualizations, reports, and many others. According to […]
How to Use Your Data to Deliver a First-Rate Customer Experience
Click to learn more about author Arun Kumar. Excellent customer experience (CX) is no longer a “nice-to-have” – it’s a must. Fortunately for marketers, brands have access to droves of data to drive their CX. They just need to know how to optimize it. Today’s consumers are seeking a seamless and personalized CX. According to […]
A Brief History of Analytics
Historically speaking, a simple definition of analytics is “the study of analysis.” A more useful, more modern description would suggest “data analytics” is an important tool for gaining business insights and providing tailored responses to customers. Data analytics, sometimes abbreviated to “analytics,” has become increasingly important for organizations of all sizes. The practice of data […]