erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Smart Data Collective

JANUARY 1, 2024

There are many clear benefits of running a data-driven business. Unfortunately, those benefits can be quickly negated if you don’t make data integrity a priority. When we see a spam email, we almost always click the delete button too quickly, and then we wonder when it will stop.

Data-driven 122

Data-driven Data Integration IT Big Data 122

CIO Business Intelligence

APRIL 30, 2025

And executives see a high potential in streamlining the sales funnel, real-time data analysis, personalized customer experience, employee onboarding, incident resolution, fraud detection, financial compliance, and supply chain optimization. Another area is democratizing data analysis and reporting.

IT 139

IT Sales Cost-Benefit Data-driven 139

CIO Business Intelligence

OCTOBER 19, 2023

million terabytes of data will be generated by humans over the web and across devices. That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. By the time you finish reading this post, an additional 27.3

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

Analytics Vidhya

AUGUST 22, 2023

Introduction In today’s data-driven world, seamless data integration plays a crucial role in driving business decisions and innovation. Two prominent methodologies have emerged to facilitate this process: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT).

Data-driven 269

Data-driven Data Integration Analytics 269

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

Jet Global

DECEMBER 5, 2024

New drivers simplify Workday data integration for enhanced analytics and reporting RALEIGH, N.C. – The Simba Workday drivers provide secure access to Workday data for analytics, ETL (extract, transform, load) processes, and custom application development using both ODBC and JDBC technologies.

Data Integration 52

Data Integration Finance Data-driven Reporting 52

AWS Big Data

SEPTEMBER 4, 2024

The rapid adoption of software as a service (SaaS) solutions has led to data silos across various platforms, presenting challenges in consolidating insights from diverse sources. Introducing the Salesforce connector for AWS Glue To meet the demands of diverse data integration use cases, AWS Glue now supports SaaS connectivity for Salesforce.

Data Integration 110

Data Integration Data Lake Data-driven Cost-Benefit 110

CIO Business Intelligence

OCTOBER 24, 2024

Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester predicts a reset is looming despite the enthusiasm for AI-driven transformations.

ROI 127

ROI Data-driven Enterprise Experimentation 127

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

IoT 111

IoT Machine Learning Metadata Data-driven 111

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

NOVEMBER 18, 2024

As the study’s authors explain, these results underline a clear trend toward more personalized services, data-driven decision-making, and agile processes. According to the study, the biggest focus in the next three years will be on AI-supported data analysis, followed by the use of gen AI for internal use.

Digital Transformation 141

Digital Transformation Consulting Cost-Benefit Marketing 141

AWS Big Data

MARCH 13, 2025

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.

Analytics 114

Analytics Data Lake Data Warehouse Data-driven 114

CIO Business Intelligence

MARCH 21, 2022

It’s especially poignant when we consider the extent to which financial data can steer business strategy for the better. This is the impact of data-driven financial analysis – or what is termed FP&A – in the business context. billion is lost to low-value, manual data processing and management while $1.7

Data-driven 116

Data-driven IT Finance Forecasting 116

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. By systematically moving data through these layers, the Medallion architecture enhances the data structure in a data lakehouse environment.

Data Quality 195

Data Quality Testing Metrics Reporting 195

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

This integration not only streamlines business processes but also fosters improved customer engagement through personalized experiences. Enhanced analytics driven by AI can identify patterns and trends, allowing enterprises to better predict future business needs.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Cloudera

SEPTEMBER 18, 2024

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making.

Data-driven 91

Data-driven Optimization Experimentation Testing 91

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). Data catalogs are very useful and important.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

AWS Big Data

DECEMBER 23, 2024

Real-time data streaming and event processing are critical components of modern distributed systems architectures. Apache Kafka has emerged as a leading platform for building real-time data pipelines and enabling asynchronous communication between microservices and applications.

Data-driven 98

Data-driven Management Risk Big Data 98

CIO Business Intelligence

NOVEMBER 19, 2024

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

Management 116

Management Unstructured Data Deep Learning Metadata 116

AWS Big Data

DECEMBER 4, 2024

Amazon SageMaker Unified Studio (preview) provides an integrated data and AI development environment within Amazon SageMaker. From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics.

Visualization 119

Visualization Sales Data-driven Analytics 119

O'Reilly on Data

OCTOBER 11, 2022

Some tasks should not be automated; some tasks could be automated, but the company has insufficient data to do a good job; some tasks can be automated easily, but would benefit from being redesigned first. Some of these data sources will be owned by the pharmacy; others aren’t. Most are subject to privacy regulations.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

AWS Big Data

OCTOBER 21, 2024

Data is the most significant asset of any organization. However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture.

Sales 116

Sales Data-driven Data Processing Key Performance Indicator 116

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. When internal resources fall short, companies outsource data engineering and analytics. There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. .

Consulting 244

Consulting Testing Data Quality Data Lake 244

CIO Business Intelligence

FEBRUARY 26, 2025

We actually started our AI journey using agents almost right out of the gate, says Gary Kotovets, chief data and analytics officer at Dun & Bradstreet. The problem is that, before AI agents can be integrated into a companys infrastructure, that infrastructure must be brought up to modern standards. According to the Tray.ai

IT 141

IT Enterprise Interactive Data Quality 141

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

AWS Big Data

JULY 26, 2023

Data is a key enabler for your business. Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions.

Data Integration 98

Data Integration Snapshot Testing Visualization 98

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Science 300

AWS Big Data

NOVEMBER 29, 2024

Customers often want to augment and enrich SAP source data with other non-SAP source data. Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

AWS Big Data

NOVEMBER 22, 2024

Organizations run millions of Apache Spark applications each month on AWS, moving, processing, and preparing data for analytics and machine learning. Data practitioners need to upgrade to the latest Spark releases to benefit from performance improvements, new features, bug fixes, and security enhancements. Original code (Glue 2.0)

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

Data Virtualization

SEPTEMBER 12, 2024

Reading Time: 2 minutes In today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured.

Data Integration 52

Data Integration Business Objectives Data-driven Management 52