Systems | Development | Analytics | API | Testing

How Klearnow went from sleepless nights to a booming data business with ThoughtSpot

Sometimes I walk through the grocery store and marvel at the way customers float through the aisles, blissfully unaware of the logistical nightmare it probably took to stock the shelves. They have no idea how many people, systems, and modes of transportation it takes to make everything magically appear on their grocery shelves. But I do. As the Senior Director of Software Engineering at KlearNow, I spend my days preserving the bliss of those grocery shoppers.

From 3 Weeks to 3 Hours: How Signagelive Sped up Regression Testing by Switching to Automation

In early 2016, Signagelive—a digital signage company—had an informal approach to QA. When developers had time, they performed a few manual tests ahead of each software release and hoped for the best. This allowed the company to focus on growth and building new features, but the company reached a point where the number of bugs clients found was unacceptable.

Ocean Winds (OW): Preparing for the Future of Energy with Low-Code Automation

As a new company operating in the offshore wind energy sector, the Appian Low-Code Automation Platform is helping OW to automate their recently established processes and rapidly build applications to support their vision. Hear from a number of their representatives how OW have seen 75% cost savings and a 25% reduction in the time it takes to execute digitized processes.

Ad agencies choose BigQuery to drive campaign performance

Advertising agencies are faced with the challenge of providing the precision data that marketers require to make better decisions at a time when customers’ digital footprints are rapidly changing. They need to transform customer information and real-time data into actionable insights to inform clients what to execute to ensure the highest campaign performance.

Spectacular growth: Beaumotica accelerates expansion with data-driven insights from Talend

Beaumotica combines smart lighting, design, and top brands to create the perfect mood and atmosphere for any room. And with help from Talend, the company can now combine data, analytics, and automation to optimize business decisions and accelerate growth. Last year alone the company tripled its business and expanded into new territories across Europe. Based in The Netherlands, Beaumotica has been growing steadily since 2007.

With Stitch, Simba is losing no sleep over aggressive growth plans

“If we didn’t have Stitch, we would have to recruit and hire data engineers, buy space for hundreds of millions of rows that we’re sinking into the database, and on and on. For us, Stitch is essential.” –Tomasz Eitner, BI and Data Analyst, Simba Sleep Simba Sleep has always been a data-driven company. Before the firm was even formally launched, the founders purchased research profiles from more than 10 million sleepers—including 180 million body profile data points.

Dimagi implements Passerelle Data Rocket to accelerate state and local COVID-19 response

Frontline healthcare providers don’t always have access to the latest and greatest technology. But when they are trying to fight a global pandemic with pen-and-paper tracking systems, something has to change. Dimagi is a tech company on a mission: to deliver scalable digital solutions for organizations to amplify their frontline impact.

Ledger Bennett delivers a superior data app experience with ThoughtSpot Everywhere

Ledger Bennett is a B2B demand generation agency that uses sales and marketing know-how to help customers increase revenue. Learn how Ledger Bennett is leveraging ThoughtSpot Everywhere to give both developers and customers the best data app experience, and why they are completely retiring Tableau in the process.

How Renault solved scaling and cost challenges on its Industrial Data platform using BigQuery and Dataflow

French multinational automotive manufacturer Renault Group has been investing in Industry 4.0 since the early days. A primary objective of this transformation has been to leverage manufacturing and industrial equipment data through a robust and scalable platform. Renault designed an industrial data acquisition layer and connected it to Google Cloud, using optimized big data products and services that together form Renault's Industrial Data Platform.