Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Key Performance Indicators (KPIs). Users with average skills can perform data preparation and transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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 59

Machine Learning Data Science Statistics Deep Learning 59

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. To fully understand how events are viewed by the players and to make decisions about future events requires information on how the latest event was actually performed.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

FineReport

APRIL 24, 2024

By analyzing historical datasets through visual representations such as time-series graphs or predictive models, decision-makers gain valuable insights into potential trajectories for various metrics or indicators. 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

datapine

JANUARY 31, 2022

This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes. It is important to optimize processes, increase operational efficiency, drive new revenue, and improve the decision-making of the company.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. Meanwhile, predictive analytics enable them to analyze customer market trends.

Data Analytics 52

Data Analytics Analytics ROI Data Governance 52