Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). We can show you how to accomplish this. Get started.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Birst BI

JANUARY 16, 2018

Machine learning has two imminent, profound implications for individuals and companies using BI and analytics applications. For the vast majority of information workers, this is the definition of self-service analytics.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

Grooper

AUGUST 19, 2019

It's not about the technology - or solving the data silo problem. Business Focus is Required for Success with Transformative Analytics Technologies. So, how can we bridge the gap between positive business outcome and the technology required to get there? Key Language of Applied Analytics. Primary keys.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Smarten

DECEMBER 3, 2023

It also augments the expert and citizen data scientists by automating many aspects of data science, machine learning, and AI model development, management and deployment.’ ‘You Solution capabilities included self-serve data preparation , smart data visualization and predictive analytics for forecasting, etc.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Smarten

NOVEMBER 26, 2023

For many business intelligence users, BI dashboard tools will be just as important as the more advanced analytical tools like assisted predictive modeling. Traditional BI Tools include dashboards, key performance indicators (KPIs), reporting , graphs and charts. Now it is time to talk about solutions.’

Business Intelligence 40

Business Intelligence Key Performance Indicator ROI Dashboards 40