Octopai

JUNE 26, 2020

Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance. What many enterprises have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do? What is metadata management?

Metadata 52

Metadata Management Data Processing Machine Learning 52

TDAN

APRIL 20, 2021

Many of us know what a hoarder is. There have been shows about individuals who fill their dwellings with what would be viewed as junk ton the average person. Whether they like to collect it, or simply cannot bear to part with it – or for some other reason – they surround themselves with stuff […].

Metadata 52

Metadata Risk IT Management 52

Octopai

DECEMBER 22, 2019

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. Named by CRN as a Top 10 Data Analytics Company to Watch.

Metadata 54

Metadata Management OLAP Data Governance 54

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

erwin

FEBRUARY 12, 2021

Managing an organization’s governance, risk and compliance (GRC) via its enterprise and business architectures means managing them against business processes (BP). Governance, risk and compliance are treated as isolated bubbles. Data-related risks are not connected with the data architects/data scientists.

Risk 98

Risk Slice and Dice Management Enterprise 98

Smart Data Collective

APRIL 10, 2019

When that happens, tens of thousands of people are put at risk for identity theft when their metadata is stolen. What is metadata and how is it used? What Metadata Contains. Metadata is basically a trail of data that is spread out across a network. Why a Cyber-Criminal Steals Metadata.

Metadata 66

Metadata Risk Technology Management 66

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

Octopai

SEPTEMBER 22, 2019

Consider: – In life insurance, actuaries rely on data from many sources to discover and define ever more granular health and lifestyle attributes to determine the overall risk level of each applicant. – Property insurers are using troves of geographical, geological, climate, and other data to assess all kinds of hazard risks.

Metadata 41

Metadata Insurance Management Data Governance 41

CIO Business Intelligence

MARCH 18, 2024

Instead of the government acting as a watchdog, it aims to strike a balance between fostering innovation and mitigating potential risks associated with AI technologies. Additionally, if any user makes changes to the information, the metadata should be configured to identify the user or computer resource that made those changes.

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Metadata Visualization Modeling Risk 93

TDAN

APRIL 6, 2021

Individuals are starting to pay attention to organizational vulnerabilities that compound risks associated with managing, protecting, and enabling access […]. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.

Risk Management 64

Risk Management Risk Management Big Data 64

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

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Manual processes that introduce risk and make it hard to scale. Challenges around managing risk. It is an imperative.

Metadata 102

Metadata Risk Risk Management Experimentation 102

erwin

DECEMBER 3, 2020

To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change. This metadata is ingested into the data catalog, definitions are added within a business glossary, and the searchable repository enables users to understand how data is used and stored.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

TDAN

APRIL 20, 2021

Modern airplanes travel the world through all kinds of weather via the use of radar. Oxford Dictionary defines radar as “a system for detecting the presence, direction, distance and speed of an object. Radar is used to indicate there is something that has not yet come to the attention of a person or a group.” […].

Risk 52

Risk Risk Management Metadata Data Governance 52

Octopai

JUNE 19, 2023

Catalogs also allow for better Risk Management; data catalogs help businesses maintain regulatory compliance by providing a clear record of what data is stored and how it’s used. Automate Metadata Capture Leverage metadata management tools like Octopai to automate the process of capturing metadata from various sources.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Governance influences how an organization’s objectives are set and achieved, how risk is monitored and addressed, and how performance is optimized. Organizations that run afoul of such laws risk damaging their reputation.

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Data Governance Risk Data Quality Dashboards 59

DataKitchen

OCTOBER 20, 2023

Payload DJs facilitate capturing metadata, lineage, and test results at each phase, enhancing tracking efficiency and reducing the risk of data loss. Example 3: Insurance Card Tracking In the pharmaceutical industry, disjointed business processes can cause data loss as customer information navigates through different systems.

Insurance 176

Insurance Metadata Data-driven Data Quality 176

IBM Big Data Hub

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice. It is an imperative.

Metadata 78

Metadata Risk Experimentation Dashboards 78

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

MARCH 30, 2020

Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Essentially, metadata management is the administration of data that describes other data, with an emphasis on associations and lineage. Data lineage to support impact analysis.

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Metadata IT Data Governance Data Quality 122

CIO Business Intelligence

MAY 10, 2023

As companies open this “pandora’s box” of new capabilities, they must be prepared to manage data inputs and outputs in secure ways or risk allowing their private data to be consumed in public AI models. The first step in this process is to ensure the right technical and business metadata is in place.

Metadata 98

Metadata Data Governance Modeling Technology 98

erwin

JANUARY 9, 2020

It is a tried-and-true practice for lowering data management costs, reducing data-related risks, and improving the quality and agility of an organization’s overall data capability. That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Ontotext

OCTOBER 11, 2023

In addition, he also mentioned the lack of standardized measurements for understanding the impact and the potential harm AI-powered projects have and the risks they bring. Krasimira showcased how knowledge graphs, combined with semantic metadata , enhance LLMs for better content discovery, understanding, and question-answering.

Metadata 69

Metadata Cost-Benefit Marketing Modeling 69

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. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

IBM Big Data Hub

DECEMBER 4, 2023

IBM’s governance framework is built around four core roles within the company: The Policy Advisory Committee: senior global leaders who provide oversight of the AI Ethics Board and help to establish the company’s strategy and risk tolerance. It helps accelerate responsible, transparent and explainable AI workflows.

Consulting 83

Consulting Risk Metadata Risk Management 83

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

AWS Big Data

APRIL 19, 2023

Instead, we can use automation to speed up the process of migration and reduce heavy lifting tasks, costs, and risks. We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. Generate Spark SQL metadata Our batch job consists of Hive steps scheduled to run sequentially.

Metadata 76

Metadata Testing Data Lake Consulting 76

AWS Big Data

FEBRUARY 12, 2024

Manually handling repetitive daily tasks at scale poses risks like delayed insights, miscataloged outputs, or broken dashboards. When the status changes to SUCCESS, it proceeds to the next step to retrieve the AWS Glue table metadata information. After a successful update of the AWS Glue table metadata, the state machine is complete.

Publishing 87

Publishing Dashboards Metadata Visualization 87

AWS Big Data

FEBRUARY 29, 2024

For users to be able to discover and comprehend the data, the first step is to build a comprehensive catalog using the metadata that is generated and captured in the source systems. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

Data Governance 92

Data Governance Unstructured Data Metadata Data Lake 92

Smart Data Collective

JULY 15, 2021

By using metadata (or short descriptions), data catalogs help companies gather, organize, retrieve, and manage information. A data catalog will usually have a search tool, a separate data discovery tool, a glossary, and a metadata registry. Metadata registries organize various data sets according to categories and fields.

Metadata 124

Metadata IT Data-driven Data Quality 124

erwin

OCTOBER 31, 2019

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed. So being prepared means you can minimize your risk exposure and the damage to your reputation. No Hocus Pocus.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

IBM Big Data Hub

APRIL 20, 2023

When consumers lose trust in a bank’s ability to manage risk, the system stops working. Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times. We’ve seen what follows—financial crises, bailouts, destruction of capital, and losses of jobs.

Risk 74

Risk Risk Management Reporting Metadata 74

CIO Business Intelligence

AUGUST 7, 2023

The potential risks that come with moving data into the cloud when it had spent its entire life on highly secure, on-premise systems can open an organization up to new, previously unknown vulnerabilities. With human involvement reduced, IT teams can reduce strain and eliminate or mitigate the risk of human error within data flow.

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Metadata Risk Software Enterprise 97

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Digital Transformation is not without Risk.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

erwin

JULY 12, 2019

Activating their metadata to drive agile data preparation and governance through integrated data glossaries and dictionaries that associate policies to enable stakeholder data literacy. We help customers overcome their data governance challenges, with risk management and regulatory compliance being primary concerns. How erwin Can Help.

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Data Governance Management Metadata Risk Management 110