Sisense

OCTOBER 21, 2020

As a member of the data team, your role is complex and multifaceted, but one important way you support your colleagues across the company is by building and maintaining data models. Picking a direction for your data model. Think like a designer. However, just asking your users, “What do you want?”

Data Modelling 71

Data Modelling Embedded Analytics Design Thinking Big Data 71

Tableau

APRIL 20, 2022

Tableau Economy: Welcome to the Tableau Economy: where customers get faster time to value and revenue growth; partners serve our global customer base and grow their businesses; and data people can grow their careers with Tableau skills. Look for sessions on the Tableau Exchange , the Tableau Developer Platform , and Embedded Analytics. .

Chief Data Officer 110

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 110

Tableau

APRIL 20, 2022

Tableau Economy: Welcome to the Tableau Economy: where customers get faster time to value and revenue growth; partners serve our global customer base and grow their businesses; and data people can grow their careers with Tableau skills. Look for sessions on the Tableau Exchange , the Tableau Developer Platform , and Embedded Analytics. .

Chief Data Officer 92

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 92

Sisense

JUNE 30, 2020

Every company is a data company. In Embed to Win , we dig into the ways companies are evolving to include embedded analytics in their products as a market differentiator and revenue generator with stories from builders, product shots, and more. The power of data and analytics extends far beyond dashboards.

Embedded Analytics 59

Embedded Analytics Visualization Data Modelling Data Warehouse 59

Sisense

JANUARY 6, 2021

The result is a customer experience that meshes perfectly with the needs of Tessitura’s clients in the arts and culture marketplace, providing powerful and flexible data modeling presented and branded as Tessitura components with AI mechanics provided by Sisense under the hood. Horsepower under the hood.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Sisense

AUGUST 6, 2020

Accurately prepared data is the base of AI. As an AI product manager, here are some important data-related questions you should ask yourself: What is the problem you’re trying to solve? What are the right KPIs and outputs for your product? The perfect fit. This is done by an ML method called validation.

Product Management 95

Product Management Product Management Customer Experience Customer Experience 95

Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. It turns out that emotional reaction is an important variable in stock market behavior! .

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98