Systems | Development | Analytics | API | Testing

Business is won or lost based on the quality of the experience you deliver to customers, partners, vendors, and employees. These experiences are built entirely on data. Harnessing data to deliver value is the single most powerful way to engage today’s demanding consumers—not to mention capturing market share and accelerating strategic decision-making. But there's a problem.

Organizations looking to improve their bottom lines have embraced automation for decades. Simple automation has long been bringing benefits to businesses and public sector organizations alike, despite being limited to supporting small tasks and workflows.

Learn how we utilize the Fivetran Log Connector to maintain our own Fivetran demo account.

Data-driven research, a product of using interdisciplinary scientific methods for extracting knowledge, is taking over the globe. According to McKinsey & Company’s Marketing Insights, data-driven organizations are 23 times more likely to acquire customers and 6 times as likely to retain them! Also termed “the fourth paradigm of science”, data-driven research has created opportunities for big data analysis in science and other industries.

Python is a universal language that is widely used in various industries. In this post, we’ll look at 10 tricks that can help you optimize your Python code, regardless of your Python framework. From following coding conventions and meaningful names to using exceptions for error handling and taking advantage of built-in functions, these tips will help you write cleaner, faster and more maintainable code.

Explore the similarities and differences between test-driven development (TDD) and behavior-driven development (BDD).

Most OEMs don't make a profit from the sale of electric vehicles (EVs) — but EV startups planning on getting to market fast don't have to incur the same losses. With soaring battery prices, massive component costs, and low-volume sales chipping away at profitability, an EV startup must look toward software development as a way of driving efficiencies in budget, schedule, and level of effort.

Software testers, or SDETs, have several responsibilities in today's QA-driven software industry. In addition to collaborating with developers to plan and execute tests, they are often responsible for setting up and maintaining continuous integration (CI) processes, analyzing test results, and generating reports for stakeholders. In this article, you'll learn about the evolution of the SDET role and how automation and artificial intelligence (AI) can help improve efficiency.