jKool Blog

26 09, 2017

Why Startups Need Business Analytics

By |September 26th, 2017|Analytics|0 Comments

Large global enterprises have long been exploiting the benefits of business analytics. For startups and SMEs, however, it’s a different story. Recent research from One Poll found that 56% of SMEs rarely or infrequently check their business’s data, while 3% have never looked at it at all.

The advantages of data analytics to enterprises of […]

13 09, 2017

The importance of big data and analytics in the era of digital transformation

By |September 13th, 2017|Analytics, Big Data, Big Data Analytics, Digital Transformation|0 Comments

Big data and analytics are topics firmly embedded in our business dialogue. The amount of data we’re now generating is astonishing.

Data has also evolved dramatically in recent years, in type, volume, and velocity – with its rapid evolution attributed to the widespread digitisation of business processes globally. Data has become the new business currency […]

23 08, 2017

Why Is Risk Analytics Important?

By |August 23rd, 2017|Analytics, Big Data|0 Comments

The rise of big data, computing power, and advanced analytics enables companies to gain valuable insights from data. Artificial intelligence, machine learning, the Internet of Things, and drones are just a few innovative tools now available to help companies gain a more complete view of their businesses and make better decisions. For risk managers, […]

7 06, 2017

The Difference Between Data Science and Data Analytics

By |June 7th, 2017|Analytics, Data Science|0 Comments

Data science and data analytics: people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. However, although they may sound similar, the terms are often quite different and have differing implications for business. Knowing how to use the terms correctly can have a large impact […]

14 04, 2017

Artificial Intelligence vs. Machine Learning: What’s the Difference?

By |April 14th, 2017|AI, Analytics, machine learning|0 Comments

The terms artificial intelligence and machine learning are often used interchangeably – yet they aren’t the same.

AI involves machines that think the way humans think. Of course, it’s very difficult to determine whether or not a machine is “thinking,” so on a practical level, creating artificial intelligence involves creating a computer system that is […]

29 03, 2017

3 Keys to Improving the Customer Experience Through Data Intelligence

By |March 29th, 2017|Analytics|0 Comments

In today’s experience economy, the reality is your customer experience defines your brand more than anything else you do. And yet when it comes down to it, many companies are lulled into limiting their potential for growth by hyper-focusing on better design, more creative content or experiences as the sum of their available paths, […]

9 03, 2017

Top 10 Insurtech Trends for 2017

By |March 9th, 2017|AI, Analytics, Digital Transformation|0 Comments

The beginning of a new year is usually the time to predict key trends for the year to come, and so it goes with the insurtech sector as well. Most lists focus on the latest sexy technologies and applications. But, after a year, we find these have hardly gained any traction and so cannot really […]

15 02, 2017

Realizing The Potential Of Big Data And Analytics

By |February 15th, 2017|Analytics, Big Data|0 Comments

It’s not what you know. It’s what you do with what you know. That’s something companies worldwide will be learning—for better or worse—in the coming year when it comes to big data.

Gurus among us have proclaimed 2017 will be the year big data goes mainstream. If you’re anything like me, you may be wondering […]

1 12, 2016

Eight Data And Analytics Capabilities You’ll Need For The IoT

By |December 1st, 2016|Analytics, Internet of Things|0 Comments

There is widespread agreement that the Internet of Things will be a transformative factor in the business use of information. The prospect of billions of connected devices promises to transform home activities, transportation, industrial operations, and many other aspects of our lives.

The bad news about the IoT is that we have a lot of […]

29 11, 2016

Data to analytics to AI: From descriptive to predictive analytics

By |November 29th, 2016|Analytics|0 Comments

Artificial Intelligence (AI) seems to be the buzzword du jour for organizations, but this is not an obvious or straightforward transition even for those building advanced products and platforms. Many organizations are still struggling with digital transformation to become data-driven, so how should they approach this new challenge?

And both highlighted in a very real […]