Analytics

Banking on analytics and machine learning – Demystifying the terms

Machine learning, a subset of Artificial Intelligence (AI) is a method of data analysis that uses algorithms to iteratively learn from data and derive insights without being explicitly programmed. We can find examples of how Machine Learning is already a part of our daily lives – like Google Maps, using location data from smartphones, analyses [...]

Why Advanced IT Analytics Deployments Show Benefits That Are Too Good To Miss

In my previous blog, I shared why I felt that advanced IT analytics (AIA) is both an area of intense innovation, while at the same time a set of technologies that are truly coming of age. No longer just a technological curiosity, AIA solutions are already transforming many IT organizations for the better. As I [...]

The All-encompassing Role of Big Data in the Finance and Trading Industry

Big data is something that is setting its fingerprints in almost everything, irrespective of the business or industry you’re looking at. Nowadays, it is hard to separate the big business decisions from big data and this is especially true with regards to the finance and trading industry which is feeling the biggest influence of big [...]

Most Industries Are Nowhere Close to Realizing the Potential of Analytics

Most Industries Are Nowhere Close to Realizing the Potential of Analytics Back in 2011, the McKinsey Global Institute published a report on the transformational potential of big data—and it would take a supercomputer to process all of the articles that have appeared since then urging companies to get on board before some digital disruptor renders [...]

By |Analytics, Big Data|

The triple A solution: How analytics, automation, and AI will redefine customer service

A quick trip down memory lane to the 1990s will help us see just how far customer services has changed. In the past, customers would have walked into a physical store for a real person to help solve their problem. But, we are now in the machine era – where we will do everything we [...]

3 Essential Ways To Use Data Strategically – Analytics

While it’s very impressive that today’s technology allows us to gather incredible amounts of data, the reality is much of the data is currently collected before anyone answers: “What do we want to do with this data?” The result: Your organization has a lot of data that isn’t very useful for business. Before rushing to [...]

By |Analytics|

How to Integrate Data and Analytics into Every Part of Your Organization

What’s the best way to build effective data and analytics capabilities? Start by developing a strategy across the entire enterprise that includes a clear understanding of what you hope to accomplish and how success will be measured. Before starting any new data analysis initiative, ask: Is the goal to help improve business performance? Jumpstart process [...]

By |Analytics|

Are You Set Up to Achieve Your Big Data Vision?

By now, most companies have big hopes for big data. They see great potential in using sophisticated analytics to preempt problems, such as customers leaving or equipment failing, or to gain an advantage, such as perceiving an industry trend. But success may prove surprisingly elusive. The big data vision of many companies is murky, and [...]

The Difference Between Data Science and Data Analytics

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 on [...]

By |Analytics|

7 ways to build trust in data and analytics at your company

The KPMG report offers seven recommendations for building data and analytics trust in your organization: 1. Assess your trust gaps Performing an initial assessment to see where your business needs trusted analytics the most, and focus on those areas. 2. Create purpose by clarifying and aligning goals Make sure the purpose for collecting data and [...]

By |Analytics|