Analytics

Standardization of Customer Data - Hidden gems in Talend Component Palette

If you are a banker, would you like to hear the bad news that your company’s name is on the headlines of every news channel since the bank has accidently delivered the credit card to a scamster instead of a genuine customer? Unfortunately, this scenario occurs when the address records were not in standard format and the letter was delivered to a similarly resembling address.

Modernizing the IT architecture for a successful digital transformation

In a competitive world driven by consumers, companies are all facing the same business challenge: they need to make their data available to their business teams, enabling them to deliver better experiences and to streamline operations. IT plays a strategic role here as it can accelerate delivery of trusted data.

The way people consume data is changing

There's been a lot of discussion around the proliferation of data sources in organizations and for good reason. There are so many ways to consume data now. When I first started working we would send out paper reports. Then Excel came along and we started sending out spreadsheets. Then organizations tried to control things a bit more, so dashboards were created. While there are more new channels to receive data, none of the older ones have become obsolete. People are always going to receive data from multiple channels and on multiple devices, and you can’t change that. But how do you know what data you can trust?

The Gendarmerie Nationale uses data to strengthen French national security

In 2010, the Union of European Football Associations (UEFA) named France the 2016 host of the European Championship. Paris was also set to host the UN Climate Change Conference, COP 21, in late 2015, another major international event with high-stake security issues. How to make sure dangerous individuals would not have access to very sensitive areas?

The way people consume data is changing

There's been a lot of discussion around the proliferation of data sources in organizations, and for good reason. There are so many ways to consume data now. When I first started working we would send out paper reports. Then Excel came along and we started sending out spreadsheets. Then organizations tried to control things a bit more, so dashboards were created. While there are more new channels to receive data, none of the older ones have become obsolete.

The Hole Story and Bias in AI

AI and its enabled tools continue to enthrall business with its promise of efficiency and innovation. But, one of the things AI is also clearly enabling is the bias. We’ve all read the news and heard the scaremongering stories around potential flaws and biases in Artificial Intelligence systems. I believe for this technology to reach its full potential, addressing bias will need to be a top priority.

Ingesting data from AWS s3 to Snowflake using Stitch

Stitch is a very simple yet very powerful cloud service which connects to a diversity of data sources. It is a very user-friendly ingestion system and works in a very simple format. Stitch connects to the data sources, pulls the data and loads the data to a target. In this blog, I am going to connect to Amazon S3, read a file and load the data to Snowflake but first let’s understand few concepts of Stitch. For Stitch to work you need an Integration and a Destination.