I hope you have had a chance to read my earlier blog about the steps that an organization can take to become data-driven. The more I thought about that particular blog, the more I realized that it does make a very significant presumption: that companies should become data-driven. Which begs the question - why would a company want to become data-driven?

In 1998, Netscape decided to release their source code in an effort to attract new users to their product and new developers who could easily integrate applications with the browser. At the same time, there seemed to be a groundswell around a culture of open and collaborative development, with legacy software companies beginning to acknowledge Linux and open source software (OSS) as a legitimate option for enterprise solutions.

Blockchain technology has been all over the news recently. With the explosion of bitcoin usage for digital transactions, blockchain is required to track and verify every transaction made.

2018 is the year of the cloud, and as more and more companies move to cloud technologies it is important to realize how your business can best utilize the cloud. One of the biggest issues enterprises are having today, is moving their data from their on-premise databases to their cloud data storage. This can be a long, and tedious process if you don’t have the correct tools. Luckily, Talend is here to help!

Cloud computing in the form we understand today started around 10 years ago, with the launch of Amazon Web Services (AWS). This was the first commercially viable option for businesses to store data in the cloud rather than on-premise and acted as a shared service for anyone connecting to the platform.

It’s an exciting time to be working in the Cloud, Big Data, and Machine Learning industry, but it’s even more exciting to hear how Talend customers are building their data strategy to drive business results. Every year we invite representatives from some of our most strategic customers to join us for two days to share their experiences with Talend’s products and provide input into our roadmap.

The 35 million people who saw Skyfall back in 2012 were in for a treat – thrills, tension, and a spectacular hacking attempt against the UK public sector. While many have picked up on the evident flaws in the Bond version of MI6’s approach to cybersecurity, the film provokes an interesting reminder that in our rush to digitize public services, there is certainly more to be done in ensuring that these services are secure.

After a sale, it is critical to ensure every touchpoint with the customer is handled skillfully. It is only possible to understand and improve a customer’s journey by tracking key customer metrics and run analytics. Organizations that know how to identify such gaps in the service provided using analytics, to further enhance customer satisfaction, reduce churn, increase revenue, and greater employee satisfaction, will see the rewards.

Customer service is essential to any organization, especially for product-based companies offering support to customers around the clock. When an organization offer such services, it becomes pertinent to keep the customers happy and that is only possible if the call centre operation is fully optimized. Now, the question is what makes a customer happy?

In early 2016, the International Consortium of Investigative Journalists (ICIJ) published the Panama Papers –one of the biggest tax-related data leaks in recent history involving 2.6 Terabytes (TBs) of information. It exposed the widespread use of offshore tax havens and shell companies by thousands of wealthy individuals and political officials, including the British and Icelandic Prime Ministers.