Systems | Development | Analytics | API | Testing

96 Percent of Businesses Can't Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

According to 451 Research, 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges.

ThoughtSpot for Starburst

ThoughtSpot brings Live Analytics to Starburst for federated searches across data lakes, on-prem data stores, and multi-cloud data sources. Data is growing at historic rates and lives in many different stores. With Starburst, ThoughtSpot can instantly federate searches across all these sources, without months or years of building a “single source of truth.”

Make the Leap to AI Driven Data Applications

The start of a new year is a perfect time to reflect on what was accomplished and look forward, re-evaluate what we can do better. Change, although difficult at first, can also be very rewarding. That’s why I was excited to see similar sentiments shared at Thoughtspot beyond.2021 to move beyond the traditional dashboards of the past.

KPIs are a shortcut to success - if you know how to triage

Let’s start with a hard truth: If you try to do everything, you won’t excel at anything. In a growing business, there’s no shortage of things that need attention, but you can’t do everything at once. Instead, you have to decide where to focus your resources to get the greatest impact. In a word, you must become a master of triage.

Data Decay Can Be Deadly - Mastering "Data Into Action' Will Be Vital to Organizational Growth

Most enterprises that have embarked on their digital business journey have quickly realized that data is the foundation of every digital business. No successful digital business has succeeded without a data strategy. So, when I joined Joe DosSantos, Chief Data Officer at Qlik, on the Data Brilliant podcast, we discussed how data has been democratized, why certain organizations have succeeded with digital transformation, and what factors are required to build the culture for success.

Explaining machine learning models to business users using BigQueryML and Looker

Organizations increasingly turn to AI to transform work processes, but this rapid adoption of models has amplified the need for explainable AI. Explaining AI helps us understand how and why models make predictions. For example, a financial institution might wish to use an AI model to automatically flag credit card transactions for fraudulent activity. While an accurate fraud model would be a first step, accuracy alone isn’t sufficient.

Power BI Levels of Security to Meet Compliance

We can all agree that protecting your organization’s sensitive and confidential data, including personally identifiable information (PII), is a crucial obligation. Unfortunately, far too many businesses aren’t sure of the best way to fend off attackers or insider threats, so they often fall victim to devastating data breaches.

Your Super: Healthy data supports healthier people

Co-founded by a professional tennis player stricken with cancer at age 24 and his wife, Your Super is an eCommerce company focused on helping people improve their health with nutritious superfoods. Even in its early days, the company focused on using their data to uncover customer wants and help them get the most value out of their purchases. “When I first started, the company was maybe 20 people,” explains Gabriel Freeman, Business Intelligence Manager for Your Super.