As business organizations fight for competitive advantage, funding for projects and large expenditures can fall by the wayside. In today’s competitive business market, every senior executive looks at risk, value and calculations like return on investment (ROI) and total cost of ownership (TCO) before approving a budget. When it comes to advanced analytics, businesses large […]
Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?
Click to learn more about author Kartik Patel. Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. The advantages of advanced analytics are numerous and those advantages are based on the ability to further improve the business, increase user adoption (and therefore user empowerment […]
Data Modeling Trends in 2019
IT technologies are rapidly changing our lives. Whether it’s your daily grocery purchase, monthly bill payments, booking railway tickets, or receiving online healthcare consultation, data technologies have penetrated every business model, large, medium, or small. Recent cloud platforms, coupled with Big Data and IoT technologies, have ushered in a new era of “smart technologies” powered […]
How Critical are Analytics and Big Data for Strategic Growth?
Click to learn more about author Amit Dua. Bringing stronger ground to strategy and management, analytics is one of the leading technology solutions in the marketplace. The $50 Billion global industry is set to grow at 10% CAGR across various domains worldwide. Everything from media to real estate is driven by Big Data these days, […]
What is Advanced Analytics and What Are the Benefits of Advanced Analytics?
Click to learn more about author Kartik Patel. Many businesses are just discovering the benefits of Self-serve Business Intelligence and establishing Data Democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s Business Intelligence initiatives are morphing into Advanced Analytics efforts. As businesses consider the transition, it […]
What is Predictive Analytics and Can it Help You Achieve Business Objectives?
Click to learn more about author Kartik Patel. The process of Predictive Analytics has come far in the past decade. No longer is this process the sole responsibility of data scientists or IT staff. Today’s Self-serve Predictive Analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Predictive […]
Predictive Analytics for Business Users Will Jump Start Business Growth
Click to learn more about author Kartik Patel. Predictive Analytics is no longer limited to Data Scientists. Today, Predictive Analytics is, and must be, accessible to business users, if your enterprise is to grow and respond to the need for data democratization and increased productivity within the enterprise and to the rapid changes in the market, […]
RapidMiner Reinvents Automated Machine Learning to Accelerate Data Science
by Angela Guess According to a recent press release, “RapidMiner™, the company that delivers real data science, fast and simple, today announced the immediate availability of RapidMiner 8.1 and RapidMiner Auto Model, a new addition to RapidMiner Studio that accelerates everything data scientists do when building machine learning models. ‘Automated machine learning promised data scientists […]
Catasys Announces Agreement with Cigna
by Angela Guess A recent press release states, “Catasys, Inc., a provider of proprietary predictive analytics and integrated treatment solutions to health plans, today announced that it has entered into an agreement with Cigna Corporation, a global health service company dedicated to helping people improve their health, well-being and sense of security, for Catasys’ OnTrak […]
Five Ways Data Analytics is Transforming the Insurance Industry
Click to learn more about author Roi Agababa. Insurance professionals collect a huge amount of data from their customers. And then, they hand it over to underwriters, who evaluate risks of insuring that person using various actuarial data, claims data, and a bunch of other techniques (some of which are proprietary to the insurer). From […]