erwin

MAY 13, 2020

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. Metadata management is the key to managing and governing your data and drawing intelligence from it. Types of Data Models: Conceptual, Logical and Physical.

Data Governance 93

Data Governance Modeling Enterprise Management 93

Ontotext

NOVEMBER 25, 2021

With the great data integration powers of GraphDB, LAZY has achieved a lot. But now the bottleneck moves from data processing towards data gathering. Data virtualization with ONTOP. This GraphDB-native solution allows you to map relational data to RDF. However, perhaps you want to integrate relational data.

Visualization 98

Visualization Interactive Data-driven Enterprise 98

Alation

JUNE 2, 2022

These include tracking, documenting, monitoring, versioning, and controlling access to AI/ML models. Currently, models are managed by modelers and by the software tools they use, which results in a patchwork of control, but not on an enterprise level. How Data Lineage Is a Use Case in ML. from cognilytica.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

FineReport

APRIL 21, 2024

Why SaaS BI Tools Matter The Shift to Cloud-Based Data Analysis The global market for SaaS-based Business Intelligence is experiencing significant growth, driven by factors such as cost-effectiveness, scalability, and real-time data access.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

AWS Big Data

DECEMBER 21, 2023

OpenSearch Service is used for multiple purposes, such as observability, search analytics, consolidation, cost savings, compliance, and integration. Movement of data across data lakes, data warehouses, and purpose-built stores is achieved by extract, transform, and load (ETL) processes using data integration services such as AWS Glue.

Analytics 92

Analytics IT Data Lake Visualization 92

Smarten

APRIL 25, 2024

What you need are apps and solutions that allow you to ask easy questions in your own words and receive guidance and recommendations on how to best visualize and present your data and what techniques to use to gain the most insight. These measures empower them with a deeper understanding of their data like never before.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

DataKitchen

JUNE 19, 2023

Initially, the infrastructure is unstable, but then we look at our source data and find many problems. Our customers start looking at the data in dashboards and models and then find many issues. Putting the data together with other data sets is another source of errors.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

AWS Big Data

JUNE 27, 2023

We wanted to include interactive, real-time visualizations to support recruiters from one of our government clients. Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. With AWS, we aren’t forced to pay for a bundle with services that we don’t use.

Metrics 96

Metrics Dashboards Interactive Visualization 96

CIO Business Intelligence

AUGUST 2, 2023

The layer cake metaphor shifts the data discussion from an IT discussion to the intersection of business strategy and technology. So it’s about how we create layers from the business concept, like advancing discovery, all the way down to a technology solution, like a visualization tool. Does the data live in one or many clouds?

Manufacturing 95

Manufacturing Data Architecture Strategy Data Strategy 95

CIO Business Intelligence

NOVEMBER 21, 2023

Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions.

IT 137

IT Risk Cost-Benefit Risk Management 137

FineReport

APRIL 9, 2024

In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges. The fragmented nature of healthcare systems often results in disparate data sources that hinder efficient decision-making processes.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smart Data Collective

OCTOBER 5, 2020

Employing an analytical system in a data-driven business can help it to discover useful trends, information, conclusions and elevated decision making. Power BI proves to be the best tool for analysis and visualization of data. Data Processing, Data Integration, and Data Presenting form the nucleus of Power BI.

Interactive 92

Interactive Visualization Dashboards Business Intelligence 92

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). It is generally advisable to maintain a quick ratio above 100%.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Smart Data Collective

NOVEMBER 24, 2020

Today, Microsoft’s Power BI leads the market of BI-a-a-S, being an excellent tool for data collection, analyzing and visualization. Unique feature: custom visualizations to fit your business needs better. Unique feature: drag and drop functionality to create visualizations faster. QlickSense.

Business Intelligence 132

Business Intelligence Visualization Dashboards Prescriptive Analytics 132

IBM Big Data Hub

JANUARY 26, 2024

AI intelligent maintenance diagnosis : AI intelligent maintenance and diagnosis uses AI technology and intelligent diagnostic models to guide technicians in diagnosing faults in the form of questions and answers.

Cost-Benefit 78

Cost-Benefit Enterprise Technology KPI 78

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

NOVEMBER 4, 2021

Given all the advantages of the RDF model regarding enterprise data management, one no longer has good arguments why to bother with LPG at all. These models originate from different use cases: distributed knowledge representation and open data publishing on the web vs graph analytics designed to be as easy to start with as possible.

Metadata 98

Metadata Visualization Modeling Enterprise 98

FineReport

JUNE 11, 2021

By contrast, business analytics may use historical data to predict what may happen in the future or how the organization will move forward. As a result, business analytics may provide more valuable insights for those who want to change their business model or primary directions within the organization.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

IBM Big Data Hub

JUNE 29, 2023

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

Key Performance Indicator 82

Key Performance Indicator Forecasting Data Integration Sales 82

AWS Big Data

JUNE 6, 2023

They have to then review the data statistics to identify data quality rules, and write code to implement these checks in their data pipelines. Data engineers must then write code to monitor data pipelines, visualize quality scores, and alert them when anomalies occur.

Data Quality 92

Data Quality Statistics Data Lake Visualization 92

IBM Big Data Hub

JANUARY 15, 2024

Companies are rethinking their business models to become more digital and competitive. Another way organizations are experimenting with advanced security measures is through the blockchain, which can enhance data integrity and secure transactions.

Digital Transformation 77

Digital Transformation Internet of Things IoT Consulting 77

IBM Big Data Hub

MAY 9, 2022

Others have come into sharper focus relatively recently: a global effort to create new data privacy laws, a post-pandemic expectation by customers to know them individually across all touchpoints, and increased attention on any racial, gender-based, or socioeconomic bias in AI models. Multicloud data integration.

Management 57

Management Data Quality Metadata Data Integration 57

DataKitchen

APRIL 28, 2021

In Figure 1, the nodes could be sources of data, storage, internal/external applications, users – anything that accesses or relates to data. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery.

Statistics 246

Statistics Optimization Technology Data Analytics 246

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

JANUARY 5, 2023

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers.

IT 129

IT Cost-Benefit Testing Dashboards 129

FineReport

MARCH 24, 2021

We’re living in a world where data is proliferating, and the traditional way of storing and displaying data may cause you to lose your way. However, thanks to the improvement of information technology and the birth of the browser/server model, Web Reports appear with unprecedented advantages. Decision-Making Platform.

Reporting 98

Reporting Dashboards Interactive Visualization 98

Ontotext

AUGUST 22, 2023

Context: The Key to Making Data Useful It goes without saying that data without meaning can yield incorrect insights, leading to potentially dangerous decisions. Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

IBM Big Data Hub

JULY 26, 2023

These tools provide a centralized platform for top-down and bottom-up budgeting creation, collaboration, scenario modeling, data integration, and reporting. They often come with advanced analytics capabilities, enabling organizations to make data-driven budgeting decisions.

Cost-Benefit 60

Cost-Benefit Optimization Visualization Data-driven 60

Smarten

SEPTEMBER 29, 2023

With its unique governance model, the Client business can fully serve its vocation with a long-term vision and fulfil its commitment to therapeutic progress and to serving patient needs. The Client is a global business governed by a foundation whose mission is to have a meaningful social impact, both for patients and for a sustainable world.

Analytics 67

Analytics Sales Operational Reporting Reporting 67

Jedox

FEBRUARY 13, 2020

The power of artificial intelligence (AI) lies within its ability to make sense of large amounts of data. For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

Ontotext

OCTOBER 28, 2021

It demonstrates how GraphDB and metaphactory work together and how you can employ the platform’s intuitive and out-of-the-box search, visualization and authoring components to empower end users to consume data from your knowledge graph. Semantic Data Integration With GraphDB. Visual Ontology Modeling With metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Modeling 52

FineReport

JUNE 11, 2021

By contrast, business analytics may use historical data to predict what may happen in the future or how the organization will move forward. As a result, business analytics may provide more valuable insights for those who want to change their business model or primary directions within the organization.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

CIO Business Intelligence

JUNE 7, 2022

Data scientist. Data scientists are the core of any AI team. They process and analyze data, build machine learning (ML) models, and draw conclusions to improve ML models already in production. Data scientists may build the ML models, but its ML engineers who implement them. Data engineer.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145