DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The past decades of enterprise data platform architectures can be summarized in 69 words. Introduction to Data Mesh. Source: Thoughtworks.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 127

Data Architecture Data Warehouse Statistics Visualization 127

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 89

Strategy Data Architecture Cost-Benefit Reporting 89

David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 264

IT Data Architecture Big Data Data Processing 264

CIO Business Intelligence

OCTOBER 4, 2022

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. That represents a 24-point bump over those organizations where real time data wasn’t a priority.

Machine Learning 100

Machine Learning Data Architecture Uncertainty Data-driven 100

Cloudera

DECEMBER 1, 2023

Open-source solutions like Cloudera Data Flow and Open Data Lakehouse provide the necessary infrastructure and tools for governments to build and deploy trustworthy AI solutions at scale. The post Building Trust in Public Sector AI Starts with Trusting Your Data appeared first on Cloudera Blog.

Data Governance 109

Data Governance Data-driven Strategy Data Architecture 109

IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

AWS Big Data

APRIL 17, 2024

Now the AaaS provider has multiple methods to deliver insights to their customers: Option 1 – The enriched data with insights is shared directly with the customer’s Redshift instance using the Amazon Redshift data sharing feature. End-users consume data using business intelligence (BI) tools and analytics applications.

Data Warehouse 90

Data Warehouse Analytics Cost-Benefit Modeling 90

CIO Business Intelligence

SEPTEMBER 14, 2023

While data engineers develop, test, and maintain data pipelines and data architectures, data scientists tease out insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Analytics 132

Analytics Data Science Unstructured Data Data mining 132

CDW Research Hub

JULY 18, 2022

One modern data platform solution that provides simplicity and flexibility to grow is Snowflake’s data cloud and platform. Cost reduction and best business practices. Overall data architecture and strategy. Your consumption and query performance. Workload discovery. Optimizing Snowflake functionality.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

CIO Business Intelligence

JULY 26, 2023

Empowering agents with data Re/Max’s Ligon, who previously served as CIO of Prudential Real Estate and Berkshire Hathaway Home Services, oversees a cloud estate that includes Oracle Financials, Personify for membership management, and Inside Real Estate, a third-party industry SaaS platform tailored for brokers and agents.

Data Lake 94

Data Lake Digital Transformation Machine Learning Data Architecture 94

CIO Business Intelligence

NOVEMBER 28, 2023

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery.

Management 109

Management Data Architecture Data Lake Data Strategy 109

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

CIO Business Intelligence

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Data Governance 142

Data Governance Management Metadata Data Quality 142

Octopai

APRIL 19, 2021

Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CDW Research Hub

JULY 22, 2019

These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake. With Snowflake, you can store, transform and analyze structured and semi-structured data together.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

CIO Business Intelligence

JUNE 27, 2022

“If your company has data, you’re definitely leveraging it and trying to use insights from analytics to drive positive business outcomes,” says John Loury, president and CEO of Cause + Effect Strategy, a business intelligence consulting firm. It’s 2022, we’re past the age of DRIP — data rich, insight poor.”.

Metrics 132

Metrics KPI IT Consulting 132

CIO Business Intelligence

MARCH 18, 2024

“We take the model and we package it together with the engines that are optimized for these models to run as efficiently as possible across a range of Nvidia GPUs that you can find in laptops or workstations and data centers or clouds.”

Digital Transformation 97

Digital Transformation Optimization Modeling Enterprise 97

CIO Business Intelligence

NOVEMBER 22, 2022

To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems. It’s about making the data architecture data centric. It’s not just improving interfaces.

Digital Transformation 129

Digital Transformation Sales Machine Learning Optimization 129

CIO Business Intelligence

JUNE 23, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 77

IT Data Architecture Unstructured Data Big Data 77

CIO Business Intelligence

JUNE 19, 2023

Achieving this requires a comprehensive upgrade across five dimensions of data intelligence — data architecture, data governance, data consumption, data security, and data talent. Mr. Cao noted the specific problem of unstructured data. “A Huawei’s new Data Intelligence Solution 3.0

Finance 95

Finance Unstructured Data Data Processing Data Architecture 95

erwin

JANUARY 9, 2020

Deploying higher quality data sources with the appropriate structural veracity: Automate and enforce data model design tasks to ensure data integrity. From regulatory compliance and business intelligence to target marketing, data modeling maintains an automated connection back to the source.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 84

Manufacturing Data Architecture Strategy Data Strategy 84

CIO Business Intelligence

JUNE 15, 2023

Achieving this requires a comprehensive upgrade across five dimensions of data intelligence — data architecture, data governance, data consumption, data security, and data talent. Mr. Cao noted the specific problem of unstructured data. “A Huawei’s new Data Intelligence Solution 3.0

Unstructured Data 82

Unstructured Data Finance Data Processing Data Architecture 82

CIO Business Intelligence

OCTOBER 25, 2022

The Intelligent Data Management Cloud is an essential tool for making data “fit for business use” in financial services. For more information on how you can create data assets that drive business success, look at: [link] Data Architecture, Financial Services Industry

Insurance 104

Insurance Data Architecture Data-driven Interactive 104

Octopai

JUNE 15, 2020

Business intelligence databases are dynamic repositories that must often be adjusted based on organizational and or regulatory requirements. With the insurance company’s current data architecture, the process would have no chance of being completed in time for the change. How can BI teams reduce this laborious process?

Insurance 52

Insurance Metadata Business Intelligence Data Warehouse 52

CIO Business Intelligence

AUGUST 17, 2022

Fortunately, technology has evolved to the point where it can support the need for speed – now companies of all sizes have the ability to build data architectures that can leverage data for powerful, in-the-moment user experiences. These particular challenges, however, don’t rank as highly for data leaders.

Data Architecture 100

Data Architecture Strategy Data-driven Data Strategy 100

CIO Business Intelligence

NOVEMBER 21, 2022

For more information on how you can create a data platform that gives the organization the same certainty for its information as it has for its money, visit our website. Data Architecture

Data Architecture 110

Data Architecture Management Strategy Marketing 110

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 83

Data Lake Data Warehouse Machine Learning Cost-Benefit 83

TDAN

DECEMBER 3, 2019

Everyone’s talking about data. Data is the key to unlocking insight— the secret sauce that will help you get predictive, the fuel for business intelligence. It relies on data. The good news is that data has never […]. The transformative potential in AI?

Business Intelligence 72

Business Intelligence Dashboards Reporting Data Architecture 72

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse. Forrester ).

Data Architecture 78

Data Architecture Data Lake Metadata Data Warehouse 78

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 132

Machine Learning Cost-Benefit Data-driven Strategy 132

CIO Business Intelligence

JUNE 24, 2022

Your data architecture should also include the common data models of VSM tools to yield a holistic view,” Higgins said. Some of the other approaches include prioritizing cloud platforms to change technical architecture in a way to support business innovation, and embracing cloud-native to accelerate cloud modernization.

Modeling 96

Modeling Digital Transformation Data Architecture Data-driven 96

AWS Big Data

APRIL 26, 2023

The DevOps practices which revolutionized software engineering in the last decade have yet to come to the world of Business Intelligence solutions. Business intelligence tools by their nature use a paradigm of UI driven development with code-first practices being secondary or nonexistent.

Metadata 52

Metadata Dashboards Visualization Consulting 52

CIO Business Intelligence

APRIL 4, 2023

In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications. Constructing the right data architecture cannot be bypassed.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

CDW Research Hub

JULY 27, 2021

Companies feel locked into these systems as they are often tied to business-critical operations. Cloud-based solutions are promising, but some organizations are reluctant to migrate from legacy systems because it could result in costly downtime and many unknown data architecture and migration issues.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52