PREDICTIVE ANALYTICS
Why Public Cloud Services Will Become Essential for Data and Analytics Innovation
Cloud computing services started as a niche area for tech companies and savvy young professionals. Storing files and data "in the cloud" was originally subject to file size restrictions and technical limitations that kept it from catching on with companies in most...
The Rise of Decision Intelligence: AI-Optimized Decision Making
The use of artificial intelligence in business continues to evolve as massive increases in computing capacity accommodate more complex programs than ever before. Decision intelligence, the intersection of technology and business needs, helps companies think on a...
Achieving Smarter AI with NLP
Experts predict that 30% of companies will base decisions on graph technologies by 2023. This change and a shift to operationalizing AI may cause an increase in streaming data and analytics infrastructures. Several AI techniques, including machine learning (ML),...
Decline of the Analytics Dashboard
In the fast-changing and hyper-competitive business world, both small and large organizations must keep a close eye on their data and analytics. Internal company data is more useful than ever because of how expansive big data has become and how much it can tell us...
Digital Transformation: Not A Choice But A Necessity
In the last decade, the term ‘digital’ has been thrown around more often than ‘google it’. Perhaps that’s the reason why the concept of digital transformation, when introduced to companies, was mildly misunderstood by them. Digital transformation as a process it’s not...
How Predictive Analytics in Finance Can Accelerate Data-Driven Enterprise Transformation
As the U.S. economy faces unprecedented challenges, predictive analytics in financial services is necessary to accommodate customers’ immediate needs while preparing for future changes. These future changes may amount to enterprise transformation, a fundamental...
7 Reasons to Start Using Customer Intelligence in Your Healthcare Organization
Healthcare organizations face an array of challenges regarding customer communication and retention. Customer intelligence can be a game-changer for small and large organizations due to its ability to understand customer needs and preferences. When it comes to data,...
Utilizing Big Data to Improve Patient Outcomes in Home Healthcare
The benefits of big data in healthcare have been established in the literature, although challenges remain in the collection and standardization of data. Similarly improved patient outcomes can result from the purposeful use of big data related to home healthcare. ...
Leveraging Healthcare Data to Support Patient Engagement
Patient disengagement leads to serious negative consequences including hospitalization and preventable deaths. It is imperative that healthcare providers take innovative steps to improve patient engagement and consequent health outcomes. As in many other fields, big...
Using Big Data Analytics to Create Customer Intimacy in Healthcare
Physicians sometimes see dozens of patients in a single day, making it difficult to build rapport with them. Even with in-depth efforts to collect patient data at the beginning of an appointment, physicians and nursing staff may find themselves puzzled by a patient’s...
5 Ways Prescriptive Analytics Helps Deliver Better Financial Services
Financial services companies are always striving to serve consumers better, but maximizing services requires efficiency and financial stability. Each service provided must be calibrated to provide what the customer needs without wasting company resources. Prescriptive...
Automated Reporting vs. BI: Which Do You Need?
Growing or even maintaining a business requires careful attention to key metrics. Sales, new customers, returns, downtime, and other data points can vary based on industry, but every company has something they need to keep track of to function, thrive, and compete in...
Data Science vs. Data Analytics: What’s the Difference?
Improvements in data collection and storage have allowed companies to prevent fraud, streamline operations, and gain new insights into consumers. However, implementing new measurement systems requires a team of professionals who can create software, run programs, and...
5 Ways Cloud Computing Makes Data Scientists Productive
Data science is becoming more prevalent now, so the typical approach of using local computers is no longer supporting the pace of this fast change. Extending data science work to the cloud provides data scientists with options that will make them more productive with...
Why does Healthcare Need to Leverage AI to Save Lives?
The healthcare industry is one of the most popular industries for the implementation of artificial intelligence. The market revenue in 2014 was $633.8 million and it’s estimated to reach $6,662.2 million by 2021. However, market growth aside, there are more important...
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...
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...
The Soft Skills Matter in Predictive Analytics
Earlier this month, Gartner published their annual Top 10 Data and Analytics Trends. Of course, non-technology trends are excluded by definition from the tech list. Yet the use of soft skills—data literacy, storytelling, and data ethics—came up throughout the blog...