How do you achieve 98% accuracy on your churn model? That’s easy - predict that EVERYONE will never churn and...Tada! In a world where 2% of the population will churn in the coming period, by pr

In 1999, the world produced about 1.5 exabytes of unique information (source: Peter Lyman and Hal R. Varian, UC Berkeley). More than a decade later, in 2011, there were 1.8 zettabytes of data. Fast fo

Data analytics has established itself as the lifeblood of organizations. The sky literally seems the limit for a host of new applications, including predictive maintenance, fraud prevention, self-driv

Data-driven is a nice buzzword. We run around our organizations shouting that we need to be data-driven and try to wade through all our data to find the nuggets of gold we’ve been promised. We c

In the US, we are enduring a decades-long debate about the present and future of our healthcare system. We have a lot of issues with current healthcare delivery, but one of the primary ones is the bot

The Current State The U.S. life insurance industry's average annual growth over the past 10 years has been less than 2% in nominal terms and negative in real terms. Meanwhil

In the manufacturing World, demand forecasting is one of the most important foundations for accurate, timely, and effective production. It is no surprise then that in a recent survey more than 50% of

The move to the cloud is continuing to accelerate. While there are many advantages to the cloud, it is necessary to exercise caution and mitigate the risks of the cloud while pursuing the advantages.

According to IDS, a premier market intelligence provider, the global data volume that has grown up to 40 zettabytes in 2020 will reach 175 zettabytes by 2025! Is your business ready to benefit from an

Data and Big Data Analytics will be one of the most important assets for organizations in the future. In order to find new revenue opportunities, optimize end-to-end customer experience, improve marke

The last 10 years of “data management” has been very exciting indeed. We have seen giant leaps in technology related to processing power, storage, and data collection technologies. These l

With rapid advancements in technology, our ability to collate and interpret data has increased tremendously. Modern research, across all fields of study, requires analyses of the data points collected

Data and analytics play increasingly vital roles in firms of all sizes and in nearly every industry. But can mid-sized firms that aren’t built around data still compete on data and analytics? Th

Experian DataLabs eight years ago pioneered the idea of an analytics and AI R&D shop inside a bigger company. Here's how it started at that credit reporting and scoring giant and what it is do

Here are two recent entries on the big but neglected issue of data reliability and analytic validity (DR&AV), from the vast commentariat that is LinkedIn: One of my complaints with hashtag#bigd

It’s high time to change the proverb ‘Survival of the fittest’ to ‘Survival of the smartest’. The exponentially growing global economy, fast-paced business world, and ult

Machine-learning-as-a-service (MLaaS) tools for data analytics could increase the accuracy and efficiency of your research in the data science realm without requiring substantial upfront costs from on

Gartner found that 89% of businesses are going to compete on the basis of customer experience in the coming years. This new reality has led to a recent surge in interest in customer data platforms (CD

With a refresh of its cloud analytics tools, SAP hopes to bring users new insights into their data more quickly and take some of the workload off the IT department. It’s not that the previous

Democratization through machine learning and knowledge-sharing tools is expanding data science capabilities to more and more "citizens" in the broader working community. The ongoing