Big Data Analytics

Operational Data Provides a New Dimension to Security

Those who wish to harm your business are the proverbial needle in a haystack, and it’s been much easier to be the needle and hide than to be those hunting through the hay. Being small in a large environment makes it much easier to be sneaky. But there are some complex indicators of intrusion that [...]

Improving APM

We all know that when you add lanes to a highway, the improvement in journey time is short lived, as more vehicles start to use the new road, creating more traffic, there are then more chances for accidents and this results in slower journey times. The same seems to happen with technology, Moore's law is the [...]

How long will your users wait?

As businesses transition to embrace cloud services, application solutions are becoming significantly more complex and federated. Every additional component stitched to the core application can potentially introduce unforeseen nuances that can lead to unexpected events that cause issues. The basic relationship between any components you add to a process is geometric. Simply speaking, every component [...]

Applying Bayes Theorem to a Big Data World

Bayes Theorem One of the challenges in analyzing Big Data is of course its volume - there is just so much of it. Then mix in high velocity, or Fast Data and standard analytical methodologies to make sense of it breakdown, and become cumbersome and ineffective. Machine learning techniques that self-adjust and improve over time [...]

How Big Data Analytics is Boosting Cybersecurity

Big data analytics professionals are making use of ​preventative technologies, as well as managed detection and response services​. Companies use these to deal with the constantly evolving, sophisticated cyberthreats caused by the increased amounts of data being generated on a daily basis.    Technological innovation has taken the economy by storm, and every progressive business must embrace it in order to [...]

How Big Data Analytics Can Improve Demand-Supply Cycle in Retail?

There are numerous advantages of using big data analytics in a retail setting. However, today, we are focusing only on the demand and supply chain. Let’s first look at a few ways big data analytics can help. Predictive Analysis: A supply chain is based on predictions that rely on previous performance of a products, seasonal [...]

By |Big Data Analytics|

Cluster Analysis and Big Data

My last blog on machine learning discussed different types of artificial intelligence that can be applied to Big Data. This article will discuss cluster analysis, a form of Unsupervised Pattern Recognition. Let’s start with a basic definition. Pattern recognition algorithms are used to detect regularities in data, and they come in two basic flavors: supervised [...]

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

As organisations begin their digital transformation journey, big data and analytics can play a key role in it being a success. Big data means better business Data is an enabler of future strategies and immediate change, thanks to the power of predictive analytics and advanced data science. Correctly harnessing data can help to achieve better, [...]

What is Big Data?: Many firms are investing heavily in Big Data analytics.

Big data analytics is quickly gaining adoption. Enterprises have awakened to the reality that their big data stores represent a largely untapped gold mine that could help them lower costs, increase revenue and become more competitive. They don’t just want to store their vast quantities of data, they want to convert that data into valuable [...]

By |Big Data Analytics|

Challenges of Big Data Analytics in Healthcare

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 [...]