CIO Business Intelligence

SEPTEMBER 12, 2024

Enterprises must reimagine their data and document management to meet the increasing regulatory challenges emerging as part of the digitization era. The cost of compliance These challenges are already leading to higher costs and greater operational risk for enterprises. According to figures from the Cato Institute, U.S

Data-driven 89

Data-driven Management Cost-Benefit Risk 89

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

AWS Big Data

APRIL 17, 2024

In order to provide these benefits, OpenSearch is designed as a high-scale distributed system with multiple independent instances indexing data and processing requests. Other customers require high durability and as a result need to maintain multiple replica copies, resulting in higher operating costs for them.

Optimization 124

Optimization Snapshot Metadata Cost-Benefit 124

AWS Big Data

APRIL 2, 2024

Data consumers need detailed descriptions of the business context of a data asset and documentation about its recommended use cases to quickly identify the relevant data for their intended use case. This reduces the need for time-consuming manual documentation, making data more easily discoverable and comprehensible.

Metadata 100

Metadata Metrics Data-driven Contextual Data 100

CDW Research Hub

OCTOBER 16, 2019

The importance of metadata. Metadata is best defined as data that characterizes data. Metadata provides the who, what, where, when, why and how of that information. When companies have a properly engineered process to create, store and manage metadata, it benefits all focus areas of the business.

Metadata 40

Metadata Cost-Benefit Metrics Marketing 40

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. End-users often struggle to find relevant information buried within extensive documents housed in data lakes, leading to inefficiencies and missed opportunities.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Modeling 98

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Ontotext

NOVEMBER 11, 2024

As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems. Using semantic metadata, knowledge graphs provide a consistent view of diverse enterprise data, interlinking knowledge that has been scattered across different systems and stakeholders.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

AWS Big Data

OCTOBER 1, 2024

Specifically, multi-join queries will benefit the most from AWS Glue Data Catalog column statistics because the optimizer uses statistics to choose the right join order and distribution strategy. Amazon Redshift cost-based optimizer utilizes these statistics to come up with better quality query plans.

Data Lake 104

Data Lake Statistics Broadcasting Optimization 104

AWS Big Data

NOVEMBER 13, 2024

In addition, the team aligned on business metadata attributes that would help with data discovery. Reuse of consumer-based data saves cost in extract, transform, and load (ETL) implementation and system maintenance. The data solution uses Amazon DataZone glossaries and metadata forms to provide business context to their data.

Metadata 80

Metadata Data Quality Digital Transformation Data-driven 80

CIO Business Intelligence

MARCH 24, 2023

Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance. To counter that, BARC recommends starting with a manageable or application-specific prototype project and then expanding across the company based on lessons learned.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

SEPTEMBER 17, 2020

It’s paramount that organizations understand the benefits of automating end-to-end data lineage. Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. Business terms and data policies should be implemented through standardized and documented business rules.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

JUNE 12, 2024

Most enterprise data is unstructured and semi-structured documents and code, as well as images and video. For example, gen AI can be used to extract metadata from documents, create indexes of information and knowledge graphs, and to query, summarize, and analyze this data. Plus, it costs more money.

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

Ontotext

JULY 12, 2024

The High-Performance Tagging PowerPack bundle The High-Performance Tagging PowerPack is designed to satisfy taxonomy and metadata management needs by allowing enterprise tagging at a scale. It comes with significant cost advantages and includes software installation, support, and maintenance from one convenient source for the full bundle.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

datapine

SEPTEMBER 29, 2022

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. These processes could include reports, campaigns, or financial documentation.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

JANUARY 30, 2020

However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant. Top Five: Benefits of An Automation Framework for Data Governance. The Benefits of Data Governance Automation.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

AWS Big Data

AUGUST 6, 2024

This post elaborates on the drivers of the migration and its achieved benefits. At a high level, the core of Langley’s architecture is based on a set of Amazon Simple Queue Service (Amazon SQS) queues and AWS Lambda functions, and a dedicated RDS database to store ETL job data and metadata.

Cost-Benefit 102

Cost-Benefit Snapshot Metadata Metrics 102

CIO Business Intelligence

MAY 25, 2022

As part of the process, AMC turned to computer-aided design (CAD) and implemented a product data management scheme in which all drawings and documents were stored in a central database. After acquiring AMC, Chrysler implemented PLM throughout its enterprise, resulting in development costs that were half the industry average.

Management 99

Management Manufacturing Cost-Benefit IoT 99

IBM Big Data Hub

FEBRUARY 26, 2024

Download the Gartner® Market Guide for Active Metadata Management 1. With this expanded observability, incidents can be prevented in the design phase or identified in the implementation and testing phase to reduce maintenance costs and achieve higher productivity. Realize the benefits of automated data lineage today.

Cost-Benefit 90

Cost-Benefit Metadata Data Governance Reporting 90

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? That is: (1) What is it you want to do and where does it fit within the context of your organization? (2) 2) Why should your organization be doing it and why should your people commit to it? (3)

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

Visualization 105

Visualization Cost-Benefit Modeling Machine Learning 105

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. What Are the Top Six Benefits of Data Modeling? Top Six Benefits of Data Modeling. It has many benefits.

Modeling 111

Modeling Cost-Benefit Visualization Data Warehouse 111

IBM Big Data Hub

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Ontotext

MAY 22, 2023

At the heart of such tools is the extraction of fields from forms or specific attributes from documents. LLMs do most of this better and with lower cost of customization. Luckily, the text analysis that Ontotext does is focused on tasks that require complex domain knowledge and linking of documents to reference data or master data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Octopai

MARCH 24, 2020

Let’s start with automated tools that foster the seamless interaction of multiple metadata best practices, such as data discovery, data lineage and the use of a business glossary. Here is an overview of how automated metadata management makes your business intelligence smarter. Technology that makes Business Intelligence Intelligent.

Metadata 61

Metadata Cost-Benefit Business Intelligence Data Warehouse 61

AWS Big Data

MARCH 18, 2024

Additionally, we explore the use of Athena workgroups and cost allocation tags to effectively categorize and analyze the costs associated with running analytical queries. Oktank also wants to identify and analyze the costs associated with running analytics queries. Refer to the respective documentation for details.

Data Lake 110

Data Lake Analytics Cost-Benefit Management 110

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Expected cost benefits, however, often do not materialize.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

erwin

FEBRUARY 6, 2020

Here are our eight recommendations for how to transition from manual to automated data management: 1) Put Data Quality First: Automating and matching business terms with data assets and documenting lineage down to the column level are critical to good decision making. The Benefits of Data Management Automation.

Management 144

Management Data Governance Cost-Benefit Metadata 144

IBM Big Data Hub

MAY 9, 2023

For AI to be truly transformative, as many people as possible should have access to its benefits. In a prompt lab, users can experiment with models by entering prompts for a wide range of tasks such as summarizing transcripts or performing sentiment analysis on a document. Trust is one part of the equation. The second is access.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

erwin

JANUARY 24, 2019

With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. In data governance terms, an automation framework refers to a metadata-driven universal code generator that works hand in hand with enterprise data mapping for: Pre-ETL enterprise data mapping.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

Alation

APRIL 6, 2023

Other forms of governance address specific sets or domains of data including information governance (for unstructured data), metadata governance (for data documentation), and domain-specific data (master, customer, product, etc.). Simply put, metadata adds context. Data catalogs and spreadsheets are related in many ways.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Track models and drive transparent processes.

Risk 70

Risk Modeling Management Metadata 70

erwin

AUGUST 28, 2020

What Are the Key Benefits of Data Governance? Effectively communicating the benefits of well governed data to employees – like improving the discoverability of data – is just as important as any policy or technology. What Are the Key Benefits of Data Governance? Why Is Data Governance Important?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

AWS Big Data

OCTOBER 2, 2023

The base construct to access streaming data in Amazon Redshift provides metadata from the source stream (attributes like stream timestamp, sequence numbers, refresh timestamp, and more) and the raw binary data from the stream itself. This approach requires an additional step of schema retrieval and decoding based on context.

Cost-Benefit 98

Cost-Benefit Metadata Structured Data Metrics 98

erwin

APRIL 2, 2021

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Providing metadata and value-based analysis: Discovery and classification of sensitive data based on metadata and data value patterns and algorithms.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

erwin

MAY 1, 2023

The erwin Data Vault Automation solution reduces Data Vault implementation time and cost by up to 70% The erwin Data Vault Automation solution automates the manual processes associated with designing, deploying, documenting and maintaining Data Vaults and provides professional services to assist you in achieving success.

Cost-Benefit 52

Cost-Benefit Data Governance Metadata Data-driven 52

Cloudera

AUGUST 31, 2021

Yet, these legacy solutions are showing their age and can no longer meet these new demands in a cost-effective manner. It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Consideration of both data & metadata in the migration.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80