jKool Blog

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 […]

5 07, 2017

Challenges of Big Data Analytics in Healthcare

By |July 5th, 2017|Big Data, Big Data Analytics, healthcare|0 Comments

Big data analytics is turning out to be one of the toughest undertakings in recent memory for the healthcare industry. 

Providers who have barely come to grips with putting data into their electronic health records (EHR) are now being asked to pull actionable insights out of them – and apply those learnings to complicated initiatives […]

3 07, 2017

The Four Essential V’s for a Big Data Analytics Platform

By |July 3rd, 2017|Big Data, Big Data Analytics|0 Comments

With a big data analytics platform, manufacturers can achieve robust and rapid reporting that ensures successful compliance audits. And by carefully considering volume, velocity, variety and veracity, big data provides the insights business decision makers need to keep pace with shifting consumer trends.

In the digital world, this means understanding the customer is of paramount […]

28 04, 2017

Big Data Analytics is Changing Your Work

By |April 28th, 2017|Big Data, Big Data Analytics|0 Comments

Application of Big Data in today’s companies

But what is already happening? How Big Data Analytics is changing your work?

There are different ways in which Big Data is already having an impact on business processes:

At the core, analytics dashboards gives us the ability to go in-depth with sources of data and emerging trends, thus helping […]

22 03, 2017

Finding Hidden Customer Behavior Patterns Using Big Data Analytics

By |March 22nd, 2017|Big Data Analytics|0 Comments

For forward thinking leaders, Big Data can lead to even bigger profits. So, partner with the best tools and people you can find, and dive in!

In 2013, an astounding statistic began circulating in the tech and business spheres: 90% of all global data was created over the last two years. It’s as if data had been dormant prior to 2015 and has only just begun to be produced.

In many ways, that’s true. Historically, companies have been able to track only a limited amount of information about their customers, such as names, phone numbers, and previous transactions. Thanks to advancements in smart phones, social media, and e-commerce, we’re now able to track almost every major moment of our lives and turn this information into data.

Businesses now have access to a whole slew of new information about their customer base across many decision points — including their reactions to different stimuli in social media and advertisements.

They have a massive opportunity to better understand how customers make decisions and predict their future behavior when presented with new stimuli. While the customer may not know exactly why he bought a new hat, the business that sold it to him will. New techniques allow businesses to analyze data points over a long lifespan of interactions in order to disaggregate how customers make decisions.

While this influx of data is exciting, it is also difficult to interpret.

Without the ability to interpret the data, it becomes meaningless. That’s where behavioral analytics come in. Much like applying complex root-cause analysis to weather patterns, with the right information, human behavior can be predicted too.

Behavioral analysis aims to understand how and why consumers behave the way they do in order to predict what they are likely to do when presented with new situations. By compiling and analyzing raw data points like clicks, tweets, and online purchases, behavioral analysts can uncover hidden inner drivers. These insights help businesses understand what marketing should be used for individual customers — at the right time and at the right place.


13 03, 2017

A Big Market For Big Data – An Outlook on 2017

By |March 13th, 2017|Big Data, Big Data Analytics|0 Comments

Another year, another stellar run for the tech world’s darling – data. Big Data analytics and Business Intelligence are both fueling the growth of Enteprises all over the world, and also getting heavy investment within the Big Data market. The ability to gain insights laying dormant in unstructured data is enabling organizations to compete and constantly improve in spaces […]

16 02, 2017

Big Data Analytics: Why Are They So Important?

By |February 16th, 2017|Big Data Analytics|0 Comments

Since big data analytics play an important role in gathering data and producing significant knowledge that indicates new business opportunities, companies can act according to those smart insights. That will make them not only more efficient, but likely more profitable in the long run, since customers will have their needs satisfied better, because they […]

31 01, 2017

6 Predictions For The $203 Billion Big Data Analytics Market

By |January 31st, 2017|Big Data Analytics|0 Comments

The creation and consumption of data continues to grow by leaps and bounds and with it the investment in big data analytics hardware, software, and services and in data scientists and their continuing education. The availability of very large data sets is one of the reasons Deep Learning, a sub-set of artificial intelligence (AI), […]

13 09, 2016

IoT, Big Data Analytics Driving M&A Market

By |September 13th, 2016|Big Data Analytics, Internet of Things|0 Comments

The number of mergers and acquisition (M&A) deals driven by internet of things (IoT) and big data analytics technologies increased at a faster pace than all others for both the second quarter of 2016 and the year to date, according to the latest Ernst and Young (EY) report.

With 28 deals at or above $1 […]

17 08, 2016

6 myths about big data

By |August 17th, 2016|Big Data, Big Data Analytics|0 Comments

Advances in cloud computing, data processing speeds, and the huge amount of data input from sources like IoT mean that companies are now collecting previously unseen amounts of data. Big data is now bigger than ever. But organizing, processing, and understanding the data is still a major challenge for many organizations.

Is your company still struggling to understand what big data is, and how to manage it? Here are 6 myths about big data, from the experts, to help you separate truth from fiction in the realm of big data.

1. Big Data means ‘a lot of data

Big data is a buzzword these days. But what it really means is still often unclear. Some people refer to big data as, simply, a large amount of data. But, that’s not quite correct. It’s a little more complex than that. Big data refers to how data sets, either structured (like Excel sheets) or unstructured (like metadata from email) combine with data like social media analytics or IoT data to form a bigger story. The big data story shows trends about what is happening within an organization—a story that is difficult to capture with traditional analytic techniques.