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. Putting data in the hands of the people that need it. The study results don’t surprise us.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

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 93

Strategy Data Architecture Cost-Benefit Reporting 93

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 communication between business units and data professionals is usually incomplete and inconsistent. Introduction to Data Mesh. Source: Thoughtworks.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Optimization 80

Optimization Data Architecture Data Governance Digital Transformation 80

IBM Big Data Hub

OCTOBER 31, 2019

Gartner analysts Merv Adrian and Donald Feinberg in a February 2018 report predict that “by 2022, more than 70 percent of new applications developed by corporate users will run on an open source database management system.”

Data Architecture 42

Data Architecture Enterprise Reporting Management 42

TDAN

MARCH 17, 2020

Earlier this month we hosted the second annual Data-Centric Architecture Forum (#DCAF2020) in Fort Collins, CO. Last year, (2019) we hosted the first Data-Centric Architecture conference. Trip report). In 2019, the focus was on getting a sketch of a reference architecture (click here to see).

Reporting 52

Reporting Data Processing Data Architecture Data Strategy 52

erwin

JULY 9, 2020

LinkedIn data from 808 self-reporting enterprise architects indicates that the average enterprise architect’s salary is $146,000. Enterprise architects who add enterprise architecture certifications to their resume also report higher earnings. The Difference Between Enterprise Architecture and Technical Architecture.

Enterprise 145

Enterprise Data Architecture Data-driven Digital Transformation 145

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges.

Data Architecture 92

Data Architecture Strategy Data Lake Data-driven 92

CIO Business Intelligence

JUNE 24, 2022

Approximately 61% of APAC organizations have failed to build robust and successful digital business business models, primarily due to unsound practices of enterprise architecture (EA) teams, according to a report from Forrester. Digital Transformation

Modeling 105

Modeling Digital Transformation Data Architecture Data-driven 105

Cloudera

JUNE 7, 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 111

IT Data Architecture Unstructured Data Big Data 111

CIO Business Intelligence

APRIL 24, 2024

We started with an evolution of the CRM to manage the citizen relationship, and the various requests and reports: those who come into contact with the AMA must be recognized on any channel and receive consistent answers in a multichannel perspective,” he says. From there, the actual digitization project can be implemented. “We

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. You can run a direct query from QuickSight for BI reporting and dashboards.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

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 98

Manufacturing Data Architecture Strategy Data Strategy 98

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 96

IT Data Architecture Unstructured Data Big Data 96

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

CIO Business Intelligence

SEPTEMBER 26, 2023

Executive briefings and annual reports are full of “this is how much we are spending on hot new technologies” factoids. Data Architecture, Data Management, Privacy Not information technology — information management. Technology does not equal progress. Creating value with information is what constitutes progress.

Strategy 124

Strategy Data Architecture Management Metrics 124

CIO Business Intelligence

AUGUST 17, 2022

Let’s take a closer look at three surprising findings that surfaced in the report. Real-time data drives revenue growth. These particular challenges, however, don’t rank as highly for data leaders. And the reason why has a lot to do with the progress these organizations have made in building real-time data architectures.

Data Architecture 111

Data Architecture Strategy Data-driven Data Strategy 111

Cloudera

JULY 11, 2022

What used to be bespoke and complex enterprise data integration has evolved into a modern data architecture that orchestrates all the disparate data sources intelligently and securely, even in a self-service manner: a data fabric. Cloudera data fabric and analyst acclaim. Next steps.

Data Architecture 107

Data Architecture Data-driven Cost-Benefit Data Warehouse 107

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams. Find out more about CDP for modern data architectures here.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

JULY 26, 2023

That data team, dubbed ’73 after Re/Max’s 1973 founding year, has about 30 IT pros building sophisticated data architectures and advanced applications, including a cloud-native stack that has been running on AWS for several years. billion in 2022, resource industries $82.1 billion in 2022.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

NOVEMBER 9, 2022

Wanted: Real-time data skills Leading organizations have proven there’s a better way forward – but success can’t be taken for granted. Among all respondents surveyed for the latest State of the Data Race report , complexity, cost, and accessibility are cited as the top three challenges they face in leveraging real-time data.

IT 98

IT Uncertainty Sales Strategy 98

IBM Big Data Hub

OCTOBER 16, 2023

In its report Towards a Standard for Identifying and Managing Bias in Artificial Intelligence (NIST Special Publication 1270) , NIST noted that “human and systemic institutional and societal factors are significant sources of AI bias as well, and are currently overlooked. .”

Advertising 75

Advertising Machine Learning Data Architecture Cost-Benefit 75

Cloudera

APRIL 24, 2023

To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment. Perhaps it’s time for some law and order to prevent further crimes against the tech.

Scorecard 83

Scorecard Data Architecture Dashboards Measurement 83

AWS Big Data

MARCH 10, 2023

It allows you to time travel and roll back to old versions of committed data transactions, control the table’s schema evolution, easily compact data, and employ hidden partitioning for fast queries. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can run them in the order you want.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

IBM Big Data Hub

AUGUST 24, 2022

Recently, IBM was named a Leader in the 2022 Gartner® Magic Quadrant for Data Integration Tool s , and though the data landscape is constantly shifting and evolving, IBM has been a consistent Leader in the report for 17 years. The path forward with IBM and data integration .

Data Integration 85

Data Integration Metadata Data-driven Data Architecture 85

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

AWS Big Data

NOVEMBER 9, 2023

Flat files – Other systems supply data in the form of flat files of different formats. These files, stored in an SFTP location, might contain records, reports, logs, or other kinds of raw data that can be further processed and analyzed. It’s raw, unprocessed data straight from the source.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

DataKitchen

JANUARY 3, 2022

For example, teams working under the VP/Directors of Data Analytics may be tasked with accessing data, building databases, integrating data, and producing reports. Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

JANUARY 30, 2024

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

IBM Big Data Hub

SEPTEMBER 6, 2023

In a May 2023 survey carried out by IBM and Momentive.ai , 67% of CMOs reported that they plan on implementing generative AI in the next 12 months and 86% plan to do so within 24 months. Understanding the benefit and risk of each use case will help to create a step-by-step path that prioritizes the model training process.

Marketing 121

Marketing Strategy B2B Cost-Benefit 121

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Jedox

OCTOBER 22, 2020

In working with clients, these are some of the most common “pain points” I routinely address: Difficulty in extracting data out of legacy systems. Limited self-service reporting across the enterprise. Inability to get data quickly. Data accuracy concerns. More time spent accessing data vs. making data-driven decisions.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69