Birst BI

DECEMBER 18, 2018

The mainstream arrival of Artificial Intelligence (AI) brings with it the potential to finally meet the demand for actionable, enterprise-wide, fact-based decision making. Historically, business users have been presented with dashboards that describe the current state of a KPI, i.e. Net Profitability, Customer Retention, and more.

Data Visualization 89

Data Visualization Analytic Tools Artificial Inteligence KPI 89

Birst BI

AUGUST 23, 2018

A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics.

Data Visualization 73

Data Visualization Artificial Inteligence Analytic Tools Reporting Tools 73

ProductPlan

JULY 9, 2021

According to the educational organization Udacity, “the primary function of a data product manager is to balance the strategy, governance, and implementation of anything data-related, and facilitate the conversations between all impacted stakeholders—executives, engineers, analysts, other product teams, and external customers—who consume the data.”.

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Data Visualization User Testing Product Management Product Manager 40

Birst BI

MAY 14, 2019

As a result, Birst 6 enabled centralized and decentralized analytic use cases to be combined and governed. The vision of Birst 7 is about taking the same concepts of self-service and combining that with Machine Learning and AI, to improve ease of use and collaboration for every employee, not just the analyst.

Data Visualization 9

Data Visualization Analytic Tools Reporting Tools Government 9