FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 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 58

Machine Learning Data Science Statistics Deep Learning 58

datapine

MARCH 31, 2022

BI Data Scientist. A data scientist has a similar role as the BI analyst, however, they do different things. It allows its users to extract actionable insights from their data in real-time with the help of predictive analytics and artificial intelligence technologies.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

JULY 24, 2023

It tracks four important pillars: metrics, events, logs and traces (MELT) to understand the behavior, performance, and other aspects of cloud infrastructure and apps. It aims to understand what’s happening within a system by studying external data.

IT 58

IT Analytics Cost-Benefit Predictive Analytics 58

Grooper

AUGUST 19, 2019

Key Language of Applied Analytics. The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs). Master data management. Data governance. Scoring – i.e. profitability or risk. Primary keys. Data pipelines. Data science skills.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

NOVEMBER 27, 2019

The consequences of bad data quality are numerous; from the accuracy of understanding your customers to constructing the right business decisions. 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.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

All of the above points to embedded analytics being not just the trendy route but the essential one. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Standalone is a thing of the past. Present your business case.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52