The plight of CDOs: Beating the transformation deadline
Why turnover among chief data officers is so high and what can be done about it.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Data governance in action: Beneva
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.
Does Your Company Suffer From a Lack of Data Democratization?
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.
A CFO's Perspective: Understanding The Positive Business Impact of a Modern Financial Analytics Approach
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.
Announcing the Ably VS Code Extension
We're excited to announce the Ably VS Code extension! With this extension you can manage your Ably applications directly from VS Code.
How Piano Helps Companies Use Captured Data to Understand Customer Behavior
Big B2C companies looking to better understand their customers and influence their behavior are turning to Piano’s analytics and activation platform to glean insights from captured data. In this episode of “Powered by Snowflake,” Daniel Myers chats with Piano CEO Trevor Kaufman how his company’s “digital experience cloud” takes behavioral data from customer website interactions from across the digital ecosystem and gives its clients the ability to run predictive analytics and create visualizations and reports that provide critical information about those customers' habits, interests, transactions, and more.
Per API Logging Support for WSO2 API Manager
APIM per API logging support lets you enable logging request details per API basis. This will significantly impact APIM performance when you need to collect logs that come in to and out of the APIM instance. Users are able to enable or disable logging for each API by using the APIM REST API. WSO2 APIM logging gives you multiple log levels that let you log information in different levels.
Technical intro to Cortex Data Foundation for SAP with BigQuery
Cortex Data Foundation for SAP provides templates, solution content, deployment accelerators, and reference architecture to solve business problems. In this video, Lucia Subatin takes a deep dive into the technical details of Cortex Data Foundation for SAP by providing the recipe, ingredients, and some pro tips to deploy the data foundation solution content. Put on your chef’s hat and apron and get ready to start deploying!
What is a DevOps Test Toolchain and Why it Matters for Your Mobile App Development
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.
6 Reasons Why Python Is Best for Apps Using AI, ML and Data Analytics
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.