erwin

NOVEMBER 6, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that will help avoid data discrepancies and remove barriers to enterprise business intelligence and other meaningful use. The post Metadata Management, Data Governance and Automation appeared first on erwin, Inc.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

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

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Data Mining and Business Intelligence. We want to help you optimize visibility into trends and predication—and use that insight to inform business strategy.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Octopai

OCTOBER 5, 2021

Data catalog tools that utilize automation will routinely review all metadata within your BI landscape and update your data catalog accordingly. Enterprise data catalog tools that provide rating and review features for catalog entries give users real-time, real-life insight into the available data assets. Is it reliable?

Business Intelligence 84

Business Intelligence Software Cost-Benefit Metadata 84

Octopai

SEPTEMBER 10, 2020

Business Intelligence & Analytics: It’s a hard knock life for these guys. This is why a data lineage tool, namely an automated data lineage tool, is king for Business Intelligence teams. . The modern enterprise lives or dies by the quality of its data and its ability to extract meaningful insights from it.

Business Intelligence 52

Business Intelligence Data Warehouse Dashboards Reporting 52

Octopai

AUGUST 8, 2023

Battle Creek, Michigan — July 18, 2023 — Octopai, a global leader in data lineage and business intelligence automation, and Demand Chain AI, a pioneer in AI-driven demand forecasting and supply chain optimization, have today announced a strategic partnership.

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

AWS Big Data

NOVEMBER 16, 2023

This post discusses the most pressing needs when designing an enterprise-grade Data Vault and how those needs are addressed by Amazon Redshift in particular and AWS cloud in general. The first post in this two-part series discusses best practices for designing enterprise-grade data vaults of varying scale using Amazon Redshift.

Enterprise 89

Enterprise Data Warehouse Snapshot Cost-Benefit 89

CIO Business Intelligence

MAY 24, 2022

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 140

Finance Management Metadata Data Quality 140

CIO Business Intelligence

MARCH 24, 2023

While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM). Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

APRIL 25, 2024

The zero-copy pattern helps customers map the data from external platforms into the Salesforce metadata model, providing a virtual object definition for that object. “It When released, this will extend zero-copy data access to any open data lake or lakehouse that stores data in Iceberg or can provide Iceberg metadata for its table.

Data Integration 119

Data Integration Data Lake Metadata Data Warehouse 119

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. Data modeling captures how the business uses data and provides context to the data source.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

MARCH 6, 2024

Salesforce Einstein platform was released in September last year as an open platform that the company developed to enable enterprises to unify their data before developing generative AI-based applications and use cases via low code and no code interface.

IT 121

IT Metadata Interactive Enterprise 121

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. Centralized enterprise data architectures are not built to support Agile development.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Note the metadata file location after transformation.

Data Lake 108

Data Lake Metadata Snapshot Recreation/Entertainment 108

erwin

OCTOBER 8, 2020

And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. But transforming and migrating enterprise data to the cloud is only half the story – once there, it needs to be governed for completeness and compliance. GDPR, CCPA, HIPAA, SOX, PIC DSS).

Data Governance 145

Data Governance Metadata Testing Data Lake 145

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights. You don’t need to write any code. Choose Next.

Visualization 88

Visualization Metadata Testing Internet of Things 88

CIO Business Intelligence

JULY 6, 2023

“Our tier strategy resembles a three-layer cake and each of these layers targets different enterprise customers depending on their needs,” said Karan Batta, vice president of Oracle Cloud Infrastructure (OCI). Oracle is also planning to extend the service to enterprises that have their data and applications in their own data centers.

Strategy 113

Strategy Metadata Enterprise Modeling 113

Octopai

MAY 31, 2022

Business intelligence is the primary place where your data becomes an asset. But the data needs to be managed so that it can be leveraged as an asset, driving your business forward and creating positive ROI. Bonus tool: active metadata management. If you want your data to be a business asset, treat it like one.

Management 52

Management Metadata Business Intelligence ROI 52

CIO Business Intelligence

MARCH 18, 2024

Bassi expects the move will promote the adoption of AI services as a fundamental feature in systems and applications, helping spread their use cost-effectively as enterprises will have a broader range of AI models to choose from. “As “This move is expected to make services smarter and shorten the time it takes to bring them to market.”

Metadata 93

Metadata Visualization Modeling Risk 93

erwin

JANUARY 24, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that helps avoid data discrepancies and removes barriers to enterprise business intelligence and other meaningful use. Governing metadata. Data lineage, impact analysis and business rules repositories.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. It uses metadata and data management tools to organize all data assets within your organization. Meaningful business context. Speed and self-service.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

MAY 12, 2023

So when leading software review site TrustRadius announced that we had won their “Top Rated” awards in Data Catalog , Data Collaboration, Data Governance , and Metadata Management we were thrilled, but not surprised, since usability has been core to Alation’s product DNA since day 1. What does “Top Rated” mean?

Metadata 52

Metadata Data Governance Data-driven Sales 52

Octopai

JANUARY 19, 2020

Metadata Management is the Key to Successful Data Governance Learn more in the webinar, "Metadata Management Automation for the Governance Minded" Watch the Webinar! BCBS 239 and Automated Metadata Management Tools. You may recognize the common thread running through all of these principles: Metadata.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. The data architect is responsible for visualizing and designing an organization’s enterprise data management framework.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Data Virtualization

MARCH 3, 2021

The post Data Management Challenges for the Modern Enterprise appeared first on Data Virtualization blog. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Enterprise 75

Enterprise Management Strategy Data Lake 75

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. Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data.

Risk 76

Risk Modeling Management Metadata 76

IBM Big Data Hub

NOVEMBER 4, 2022

Increasingly enterprise data is spread across multiple environments which contributes to inconsistent data silos that complicate data governance initiatives and create data integrity issues that could impact Business Intelligence and analytics applications. Ensuring data quality is critical for data governance initiatives.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

CIO Business Intelligence

FEBRUARY 20, 2024

Brendan Mislin, General Manager, Industry X at Avanade, comments: “Manufacturers looking to use Microsoft Copilot and other generative AI tools first need to enable data use from across operational and enterprise applications and break down legacy OT and IT siloes.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

MARCH 4, 2024

Despite these benefits, the core problems that data centralization so often fails to address are the pragmatic realities of many enterprise data ecosystems. For starters, there are many instances where most of the business day-to-day use and management of a firm’s dataset are based on the “fit-for-purpose” needs of its constituent area.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

Octopai

MARCH 24, 2020

Business Intelligence has a lot depending on it. But, with the amount of time it takes for BI to deliver and the amount of manual data mapping and tracing required to enable accurate delivery, you have to question if maybe BI could be made more intelligent. So, what is BI Intelligence you ask? Business Glossary.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Octopai

OCTOBER 20, 2021

The new coverage of Amazon Redshift will further enable enterprises to migrate to the cloud seamlessly and manage complicated BI landscapes from one platform. Full alignment of Octopai’s data flow lineage with the detailed Amazon Redshift metadata repository, including any object defined in an Amazon Redshift database.

Metadata 52

Metadata Data Warehouse Enterprise Business Intelligence 52

Octopai

APRIL 16, 2020

Businesses around the globe have been forced to reassess the way they conduct their operations, even if their methods have been in place for decades. Some business intelligence professionals are not only contributing to their organization’s survival during these difficult times; they are actually helping it thrive.

Metadata 59

Metadata Business Intelligence Uncertainty Data Quality 59

Octopai

SEPTEMBER 21, 2020

A crucial part of every company’s business intelligence (BI) is its data dictionary. When you have a well-structured data dictionary, you provide BI teams with an easy way to track and manage metadata throughout the entire enterprise. A metadata management provider can easily access healthcare companies’ assets.

Metadata 52

Metadata Enterprise Structured Data Business Intelligence 52

Octopai

APRIL 5, 2020

By and large, business intelligence (BI) teams are not satisfied with their current data lineage capabilities, as evidenced by their routine struggles: a steady backlog of requests for days or even weeks topped by pressure from executive management. It’s self-service, applicable and shareable enterprise-wide.

Metadata 52

Metadata Data Quality Reporting Management 52

Octopai

FEBRUARY 8, 2020

While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. The solution is a comprehensive automated metadata platform. Data lineage is incomplete without the business layer provided by an Automated Business Glossary.

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63