FineReport

JUNE 7, 2024

Criteria for Top Data Visualization Companies Innovation and Technology Cutting-edge technology lies at the core of top data visualization companies. Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

AWS Big Data

SEPTEMBER 13, 2024

At this stage, CFM data scientists can perform analytics and extract value from raw data. Resulting datasets are then published to our data mesh service across our organization to allow our scientists to work on prediction models.

Interactive 111

Interactive Strategy Cost-Benefit Data Governance 111

Alation

APRIL 4, 2023

Now, joint users will get an enhanced view into cloud and data transformations , with valuable context to guide smarter usage. Integrating helpful metadata into user workflows gives all people, from data scientists to analysts , the context they need to use data more effectively. How was it used in the past?

Metadata 52

Metadata Cost-Benefit Data Transformation Predictive Modeling 52

IBM Big Data Hub

OCTOBER 16, 2023

Foundation models can use language, vision and more to affect the real world. GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model. They are used in everything from robotics to tools that reason and interact with humans.

Risk 70

Risk Modeling Management Metadata 70

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Best BI Tools for Data Analysts 3.1 Key Features: Extensive library of pre-built connectors for diverse data sources.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Domino Data Lab

AUGUST 20, 2019

Some of the benefits of rescaling become more prominent when we move beyond predictive modeling and start making statistical or causal claims. You’ll find a lot of information on data transformation—feature engineering—in the statistical literature. Here are a few examples: Data Transformation from [link].

Testing 68

Testing Modeling Interactive Measurement 68

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. Requirement Multi-Source Data Blending Data from multiple sources is compiled and the output is a single view, metric, or visualization. Data Transformation and Enrichment Data can be enriched for analysis.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smarten

APRIL 16, 2025

Predictive Analytics Create predictive models using self-guiding UI wizard and auto-recommendations for swift, effortless forecasting and predictive analytics using data from numerous data sources. Natural Language Processing (NLP) Expand the capabilities of text generation and human language processing.

Business Intelligence 62

Business Intelligence Analytics IT Predictive Analytics 62