Systems | Development | Analytics | API | Testing

Data Preparation: 7 Easy Steps to Deliver High Quality Data

Think of a data professional (data scientist/data engineer/business analyst/…), and guess what they do all day. Design big data algorithms? Build state-of-the-art, scalable pipelines? Discover insights that drive business growth? Wrong. Data professionals spend over 40% of their time preparing data before they even start using it for their job. The data preparation process is the most time-consuming task in a data operative’s schedule.

Get To Know The Company That Is Making Data Apps Accessible For Fveryone.

Houseware is the winner of the 2022 Startup Challenge, and in this video, you’ll find out exactly why. Their vision was to enable users inside sales, product, and marketing to be more than just consumers of the Data Cloud dashboard—and to allow anyone to create data applications. Hear firsthand from the Houseware co-founders.

The 6 common data mistakes that could be holding your business back-and how to avoid them

Data is everywhere–driving the evolution of technology, changing the way we do business, transforming what it means to be a customer. Yet, too many businesses are still operating in a data-aware state and not truly adapting to a data-driven mentality. According to Deloitte Insights, just 1 in 10 executives believe that their employees can actually use data to make decisions.

How exploratory testing tools benefit QA teams

Exploratory testing is a successful method for locating undiscovered defects in software. However, many companies request that testers use scripted test cases based on predetermined product requirements rather than exploratory testing. Although scripted test cases help find faults in a product's code, exploratory tests assist the QA team in finding difficult-to-predict problems within the features of the finished product.