Systems | Development | Analytics | API | Testing

Why turnover among chief data officers is so high and what can be done about it.

Marketing based on the next best action requires effective data handling for success. For Canadian insurer, Beneva, however, silos were standing squarely in the way. With over three million customers and CA$13 billion in assets, Beneva is one of Canada’s largest financial institutions. They had over 75 years of product and customer data, but that data was isolated in various systems, databases, and customer portals.

In the era of big data, an unprecedented amount of data is available to companies to drive growth. Yet up to 73% of companies’ data never get used. What are the bottlenecks to accessing data? And why is there such a wide gap between the data we have in our data lakes and data warehouses and the data we end up using for making business decisions? The smoking gun is in the hands of data democratization.

I recently sat down with CFODive to discuss the importance of modern financial analytics in transforming the way financial leaders and their organizations operate – a topic that is only becoming increasingly prominent. Business strategies have had to rapidly adjust to address market volatility, consumer trends, and unpredictable world events. These dynamics have forced finance teams to rethink how they are using data and analytics and take a more modern approach.

We're excited to announce the Ably VS Code extension! With this extension you can manage your Ably applications directly from VS Code.

The digital experience is now primary to our everyday lives. Our recent consumer report, Every Experience Matters, dove into quality and how it affects consumer behavior. We know, for example, that 20% of users will abandon a brand after encountering even one error on a mobile app. At the user level, everything comes down to customer experience.

There are a variety of technology stacks for Artificial intelligence (AI), Machine learning (ML) and data analytics applications. However, the ideal programming language for AI must be powerful, scalable and readable. All three conditions are met by the Python programming language. With outstanding libraries, tools and frameworks for AI, ML and data analytics, Python has proven success leveraging all three technologies.

As Agile and DevOps development methodologies have matured over the past decade, companies have made great strides in creating software development platforms that are open and integrated. These platforms have greatly improved the efficiency and collaborative capability of development teams. They have helped break down silos of work, improve communication and clarity, and provide visibility into all activities in software development.

Rails' batteries-included approach is one of its greatest assets. No other framework makes it so effortless to get your application off the ground quickly, at least partially due to Rails' generators. If you've used Rails for any amount of time, you have come across generators. Need to create a new application? Run rails new. Need to scaffold a bunch of new models and views? Run rails generate scaffold. There are dozens more available to help you get started rapidly or streamline your workflow.

Among other helpful features, Salesforce offers a way to avoid creating your reports manually. Learn how to save time with scheduled reports.