Booking.com — The Case of Finance Innovation

Booking.com — The Case of Finance Innovation

We are witnessing a fresh acceleration of technological change which is affecting the established ground rules within companies. The primary driver of this change is Big Data and relevant technologies that are transforming the way businesses approach data analysis. While the sheer volume of data and the disparate sources from which it is collected has made data analysis and the …

Big Data (or how to make Business Intelligence keep up with the new times)

Big Data (or how to make Business Intelligence keep up with the new times)

Large and small companies have always used the information within their reach to better understand their business and try to get better results. With the advent of computers and the ability to store data systematically, new possibilities opened up. Data was collected at first in order to improve transactional processes. With sales and purchase information suitably stored it was easy …

Data governance vital to digital transformation efforts

Data governance vital to digital transformation efforts

Though big data is often associated with digital inputs, such as customers’ online behavior and social network interactions, the traditional data derived from purchase transactions, financial records and offline interaction, such as call centers and point-of-sale (POS) terminals contain a wealth of information that needs to be properly harnessed. At the most fundamental level, extracting the value from such massive …

Implementing GDPR – 10 ways to smash through operational paralysis

Implementing GDPR – 10 ways to smash through operational paralysis

Businesses are now slightly less than a year away from 25 May 2018, when the European Union General Data Protection Regulation (GDPR) transition period ends and enforcement begins — a deadline continually reiterated in a growing number of industry talks, seminars and articles. This should be motivating organisations to begin mapping out plans for compliance and taking the necessary steps …

5 Agile Boards Used By Non-Developers

5 Agile Boards Used By Non-Developers

Agile application in industries other than software development is nothing new. However, while I often discuss on how to apply the methods in various situations, i have not before actually shown you how it look s in real life. Agile is beautiful in the sense that it can literally take any form as long as it remains true to the …

How Can Manufacturers Use Machine Learning Today?

How Can Manufacturers Use Machine Learning Today?

Machine learning, which is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed, is part of nearly every aspect of our day-to-day lives. Think of things like your Facebook photo album or your credit card’s fraud alert. Whenever you post a new picture on Facebook, the social media network recommends who to tag …

The Data Ecosystem: Taking a Cloud-First approach to IT

The Data Ecosystem: Taking a Cloud-First approach to IT

The amount of data that businesses create continues to grow; at the same time, more of it is slipping out of our central data centres and into a mix of Cloud applications, mobile endpoints and remote or branch office file servers. But how can companies keep track of all this data when it is not in one place or even …

Advanced Analytics in Order to Cash Process

Advanced Analytics in Order to Cash Process

In a previous article, author Sibanjan Das focused on advanced analytics in procurement. In this article, I will pick up where Sibanjan left off, taking a look at the cases where advanced analytics can be implemented in an Order to Cash (O2C) process. Similar to the Procure to Pay process (P2P), O2C is also a business process which mostly concentrates …

Top 10 attributes of a true data leader

Top 10 attributes of a true data leader

Data fuels innovation and business value in most businesses today, but what makes a data leader succeed? Information Age profiles the top 10 attributes 1. Transcending traditional organisational barriers Data is no longer confined to technical departments. Successful projects must be partnerships between lots of different groups with different goals, mindsets, levels of understanding and ways of working. Data leaders …