Systems | Development | Analytics | API | Testing

August 2021

Buying and selling your home with data: A Q&A with Opendoor CTO Ian Wong

While many businesses struggled to keep pace with the changing economics of a global pandemic, the real estate industry was booming. The housing market reached record-breaking heights last month, with median existing-price homes rising 17.2% over the prior year. This increase in the average cost of a house was compounded by accelerated closing times, as the average house sold in 18 days, a record low.

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.

The top 10 books every data and analytics leader must read

In the final episode of season two of The Data Chief podcast, we talk with authors of four must-read books for data and analytics leaders — two new and two time-tested. As you invest in your continuous learning, here is the full round up of the latest top books I recommend for today’s data and analytics leaders.

How ThoughtSpot's product management team uses ThoughtSpot to drive user growth

Enabling customers and users to quickly find the value within a product is critical for many organizations and at the heart of being a product manager. The approach to driving user growth involves a growth mindset, combining qualitative and quantitative research methods, and driving impactful solutions.

Building a startup: The blueprint for a great foundational leadership team

In a company’s early days, the difference between C-level executives and the rest of the organization is simple — employees can walk away from a failure, leaders cannot. Under those conditions, certain types of people thrive in leadership positions and get a company from ideation to production.

Dining with data: A Q&A with OpenTable's Senior Vice President of Data and Analytics Grant Parsamyan

For more than 20 years, OpenTable has connected foodies and novice diners with the restaurants they love. But how does its technology work on the back end? To make a long story short: data. Beyond the app and website, OpenTable provides restaurants with software that manages their floor plans, phone reservations, walk-ins, shift scheduling, turn times, and more.

Creating personalized meals with data: A Q&A with Daily Harvest Chief Algorithms Officer, Brad Klingenberg

It is becoming increasingly difficult to standardize taste. The myriad culinary preferences and gastric demands of the American population are reflected in the $997B valuation of the U.S. packaged food market in 2020. There has also been a push in recent years to augment trips to the grocery store with at-home meal kits and food delivery services, a trend further accelerated by the onset of quarantine restrictions.

Why dashboards don't deliver on promised business value

Modern data and analytics leaders know that every business user is different. No two marketers or finance managers will use data in exactly the same way because no two share the same contextual view or understanding of the business. Their challenges are as nuanced as they are complex. And they need insights tailored to their specific needs if they are to be successful at solving business problems with data. Unfortunately, traditional BI tools treat everyone like carbon copies.

ThoughtSpot for ServiceNow Analytics

With ThoughtSpot, you can deliver a modern, familiar search-driven analytics experience on all your ServiceNow data. Drill anywhere, and get granular insights instantly. ThoughtSpot for ServiceNow Analytics is compatible with the Snowflake Data Cloud and other cloud data warehouse platforms. It leverages the standard ServiceNow data model while remaining highly flexible and customizable. Stop living in canned reports.

Can you achieve self-service analytics amid low data literacy?

Customers wanting to drive self-service analytics as part of creating a data-driven organization will often ask, “Can we achieve self service analytics, when our work force has low data literacy?” Or they might say they are not ready for self-service analytics, incorrectly thinking they need first to improve data literacy. But the two are inextricably linked. I liken it to teaching a child to read without giving them any books on which to build their skills.