Digital transformation dominates most CIO priority lists pertaining to questions such as:  How will digital transformation affect IT infrastructure? Will technology live on-premise or in the cloud? Depending on where that data lives, an organization requires different skill sets. If you’re building these resources in-house, then you need an infrastructure

Google, Microsoft, et al continue to perfect their search engines – but too often search is not enough. The watchword today is “discovery” – where you don’t just search for information, but information finds you. Why is discovery better than search? One reason is because of the overload of data

How are dynamic IT operations affecting company culture? What do businesses need to understand about data driven AI to successfully drive their operations into the future? Risks that previously stayed inside organizational units, such as IT Ops, now leak across domains, influencing decision-making for the entire company. These factors, including

Here is how Big Data can help you in your growth strategies in ecommerce Ecommerce is taking a bigger slice of the global retail pie. In the US, for example, ecommerce currently accounts for approximately 10% of all retail sales, a number that’s projected to swell to nearly 18% by

Here is why Data Scientists need to think like a behavioural economist or psychologist when they communicate or story tell their insights. This helps companies to take concrete and bias-free decisions to acquire customers, retain employees and deal with managers within the organization. Picture this scenario: There are two investment

It’s no news that unstructured data has been a highly sought after source since its inception, first for determining public topical insights and now for training machine learning algorithms. The critical question to answer is whether you should outsource the collection to overcome business challenges or not? Mike Madarasz explains

Organizations yearn order and simplicity over chaos and confusion, but the data-driven era we live in challenges these desires on a daily basis. Seemingly every day, massive amounts of transactional and streaming data is being introduced into enterprises. This data must be collected, deciphered, shared, and acted upon. Cloud-native technologies

The cart before the horse? What are we talking about: You have the perfect scenario in front of you. You or your team just learnt about an exciting way to analyse data, found a new data-source that looks very promising, or were impressed by a new data visualisation tool. Understandably,

By Dale T. Anderson, Talend Regional Manager, Customer Success Architect & Kent Graziano, Snowflake Senior Technical Evangelist So you want to build a Data Lake?  Ok, sure let’s talk about that.  Perhaps you think a Data Lake will eliminate the need for a Data Warehouse and all your business users will merely

Our ever-increasing dependence on the Internet to do business, entertain ourselves, communicate with others and shop for supplies has increased our amount of data exponentially. The vast amount of data needed to complete all of our activities requires a growing number of centers to safely store this information. Today, there

This article is a continuation of my first article, 25 Big Data terms everyone should know. Since it got such an overwhelmingly positive response, I decided to add an extra 50 terms to the list.  Just to give you a quick recap, I covered the following terms in my first

An innovation that creates a new value network and market, and disrupts an existing market and value network by displacing the leading, highly established alliances, products and firms is known as Disruptive Innovation.  Clayton M. Christensen and his coworkers defined and analyzed this phenomenon in the year 1995. But, every