Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. KPIs allow the business to establish and monitor KPIs for objective metrics. Users must be able to define KPIs with an easy to use, powerful expression engine and set polarity, frequency, and threshold levels using a browse- based interface.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smarten

APRIL 19, 2024

Benefits include customized and optimized models, data, parameters and tuning. This approach does demand skills, data curation, and significant funding, but it will serve the market for third-party, specialized models. This technology can be a valuable tool to automate functions and to generate ideas.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

FineReport

APRIL 24, 2024

Financial KPI Dashboard created by FineBI Book a Free Demo Another prominent player in the field of data visualization is Power BI by Microsoft. By integrating such a tool, you unlock the growth and optimization potential inherent in data-driven insights.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

datapine

NOVEMBER 27, 2019

That’s why it is of utmost importance to start with utilizing the right key performance indicators – there are numerous KPI examples that can make or break the quality process of data management. The predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361