Smarten

APRIL 19, 2024

Anomaly Alerts KPI monitoring and Auto Insights allows business users to quickly establish KPIs and target metrics and identify the Key Influencers and variables for the target KPI.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Smarten

APRIL 12, 2023

SnapShot KPI monitoring allows business users to quickly establish KPIs, target metrics and identify key influencers and variables for the target KPI. Users can identify a dataset, define a target, define influencers with the help of SnapShot, define polarity and frequency and receive via email or in-portal notification.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

OCTOBER 31, 2022

With an integrated, mobile approach to BI tools, business users can leverage personalized dashboards, multidimensional key performance indicators, and KPI tools, report software, Crosstab & Tabular reports, GeoMaps and deep dive analytics and enjoy Social BI and collaboration. Multidimensional Key Performance Indicators (KPIs).

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

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. Assisted Predictive Modeling. Cross-Tab Reporting.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. On a broader level, it asks if machines can demonstrate human intelligence.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

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