Ontotext

NOVEMBER 16, 2023

Clarifying what data mesh is and how it works is important, but even more so is starting with the why. Why Organizations Need A Data Mesh The data mesh paradigm aims to address some of the biggest pain points for most organizations. This becomes particularly problematic when dealing with veracity of data.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

erwin

SEPTEMBER 13, 2022

Day one will feature presentations from industry experts and experienced data professionals on the initiatives and tactical measures being taken by data-driven enterprises to reap the benefits of data intelligence and governance. Learn how to maximize the business impact of your data.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

Cloudera

DECEMBER 1, 2022

For analytic applications to properly leverage a hybrid, multi-cloud ecosystem to support modern data architectures, data observability has become even more important. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Metrics 85

Metrics Data Quality Data Lake Statistics 85

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. The benefits are clear, and there’s plenty of potential that comes with AI adoption.

Data Architecture 95

Data Architecture Strategy Data Lake Data-driven 95

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. It’s raw, unprocessed data straight from the source. usr/local/airflow/.local/bin/dbt

Data Warehouse 105

Data Warehouse Testing Data Quality Reporting 105

erwin

DECEMBER 12, 2019

Managing metadata should not be a sub-goal of data governance. Today, metadata is the heart of enterprise data management and governance/ intelligence efforts and should have a clear strategy – rather than just something you do. Quite simply, metadata is data about data. What Is Metadata? by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

APRIL 24, 2024

It’s universally accepted that to thrive, enterprises must embrace transformation through technology. Artificial Intelligence, Business Intelligence, Change Management, CIO, Data Architecture, Data Management, Data Quality, Digital Transformation, IT Leadership, IT Operations, IT Strategy

Digital Transformation 104

Digital Transformation Business Intelligence Unstructured Data Data Lake 104

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 113

Data Strategy Strategy Visualization Consulting 113

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 104

IT Digital Transformation Internet of Things Data Architecture 104

bridgei2i

JUNE 23, 2021

AI can support three critical functions: automation of tasks, data-based insight generation, and building engagement between brand and customers. However, there are significant challenges that enterprises experience in embracing AI. Scale With Time.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 129

Digital Transformation Strategy Data-driven Data Strategy 129

AWS Big Data

APRIL 19, 2023

However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to know which data products they can join to create new insights. This is especially true in a large enterprise with thousands of data products.

Technology 83

Technology Data-driven Machine Learning Sales 83

IBM Big Data Hub

JUNE 30, 2022

As ecosystems transformed over the last few years and simultaneously increased the opportunities to improve results driven by data, a few main contributing factors drove major change in how you should think about your data strategy: The reality of hybrid multicloud and its accelerated adoption has created new possibilities and challenges.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

erwin

DECEMBER 12, 2019

Managing metadata should not be a sub-goal of data governance. Today, metadata is the heart of enterprise data management and governance/ intelligence efforts and should have a clear strategy – rather than just something you do. Quite simply, metadata is data about data. What Is Metadata? by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

IBM Big Data Hub

FEBRUARY 9, 2023

Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes. Start by identifying business objectives, desired outcomes, key stakeholders, and the data needed to deliver these objectives. The structure of data governance can vary depending on the organization.

Data Governance 76

Data Governance Business Objectives Data Quality Strategy 76

CIO Business Intelligence

AUGUST 9, 2022

Data engineers and data scientists often work closely together but serve very different functions. Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. Data engineer vs. data architect.

Analytics 130

Analytics Data Science Statistics Unstructured Data 130

IBM Big Data Hub

JANUARY 25, 2023

Breaking down these silos to encourage data access, data sharing and collaboration will be an important challenge for organizations in the coming years. The right data architecture to link and gain insight across silos requires the communication and coordination of a strategic data governance program.

Data Governance 52

Data Governance Data-driven Strategy Management 52

TDAN

APRIL 19, 2022

Data driven organizations are innovating faster than ever.

Management 59

Management Enterprise Forecasting Data-driven 59

erwin

SEPTEMBER 19, 2019

Data governance, today, comes back to the ability to understand critical enterprise data within a business context, track its physical existence and lineage, and maximize its value while ensuring quality and security. Click here to download our latest, best practice guide for Data Modeling for free.

Data Governance 108

Data Governance Cost-Benefit Enterprise Modeling 108

Octopai

APRIL 19, 2021

Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. She tweets and retweets about topics such as data governance, data strategy, and data architecture. TDWI – David Loshin. IRM UK Connects. It is published by Robert S.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Jedox

OCTOBER 22, 2020

Gartner defines “dark data” as the data organizations collect, process, and store during regular business activities, but doesn’t use any further. Gartner also estimates 80% of all data is “dark”, while 93% of unstructured data is “dark.”. Limited self-service reporting across the enterprise. Drill-down capability.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture.

Data Architecture 85

Data Architecture Cost-Benefit Digital Transformation Business Driver 85

Alation

NOVEMBER 2, 2022

“It went from being really focused on data catalogs to becoming a much broader data intelligence platform – and one that’s cloud-native and therefore relevant for a much broader set of users within an enterprise, not just analysts or stewards, but all the way down to business users. We really like that ambition.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

erwin

SEPTEMBER 17, 2020

It’s paramount that organizations understand the benefits of automating end-to-end data lineage. Critically, it makes it easier to get a clear view of how information is created and flows into, across and outside an enterprise. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Cloudera

AUGUST 30, 2022

Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Data quality issues deter trust and hinder accurate analytics. Modern data architectures. Towards Data Science ). Deploying modern data architectures. Forrester ).

Data Architecture 80

Data Architecture Data Lake Metadata Data Warehouse 80

Sisense

SEPTEMBER 3, 2020

As you can imagine, data scientists with all these aptitudes can be of considerable value to their employers. They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger.

Statistics 97

Statistics Metrics Visualization Finance 97

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

Peter James Thomas

AUGUST 18, 2018

Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Of course some architectures featured both paradigms as well.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

Consulting 74

Consulting B2B Cost-Benefit Sales 74

IBM Big Data Hub

JANUARY 17, 2023

Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises. The solution is a data fabric. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Ontotext

MARCH 27, 2024

They also don’t have features for enterprise data management such as schema language, data validation capabilities, interoperable serialization formats, or a proper modeling language. RDF is used extensively for data publishing and data interchange and is based on W3C and other industry standards.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data Management

Data Architecture 109

Data Architecture Data Integration IoT Strategy 109

CIO Business Intelligence

FEBRUARY 28, 2024

The use of gen AI in the enterprise was nearly nothing in November 2022, where the only tools commonly available were AI image or early text generators. Building enterprise-grade gen AI platforms is like shooting at a moving target, and AI progress is developing at a much faster rate than they can adapt. “It in December.

IT 129

IT Consulting Modeling Enterprise 129

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. Organizations can harness the full potential of their data while reducing risk and lowering costs. However, businesses scaling AI face entry barriers.

Cost-Benefit 68

Cost-Benefit Data Integration Data Architecture Manufacturing 68

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

JANUARY 30, 2024

Birgit Fridrich, who joined Allianz as sustainability manager responsible for ESG reporting in late 2022, spends many hours validating data in the company’s Microsoft Sustainability Manager tool. Data quality is key, but if we’re doing it manually there’s the potential for mistakes.

Reporting 112

Reporting Data Quality Strategy Data-driven 112