CIO Business Intelligence

MARCH 4, 2024

Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies. To deliver a cohesive data strategy, seamless data access and sharing requires the breaking down of data silos. To learn more, visit us here.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 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

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 85

Strategy Data Architecture Cost-Benefit Reporting 85

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. Learn more about how to design and implement a data strategy that takes advantage of a hybrid multicloud landscape.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CIO Business Intelligence

AUGUST 5, 2024

Data Security, Privacy, and Accuracy: One of the major hurdles to implementing AI in healthcare is the risk of accidental exposure to private health information.

Experimentation 122

Experimentation Risk Metadata Data-driven 122

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

Data Lake 86

Data Lake Sales Metadata Machine Learning 86

CIO Business Intelligence

SEPTEMBER 11, 2024

If you’re not prioritizing data stewardship as part of your AI strategy, your ship is full of holes. Those organizations are sailing into the AI storm without a proper compass – a solid enterprise-wide data governance strategy. The numbers don’t lie. Why is data stewardship suddenly so crucial? It’s simple. AI amplifies everything.

Data Quality 116

Data Quality Unstructured Data Metadata Data Governance 116

CIO Business Intelligence

MARCH 24, 2023

Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. 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.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Octopai

JUNE 19, 2023

This availability of accurate and timely data enables business users to make informed decisions, improving overall business strategies. 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.

Metadata 98

Metadata Data Governance Measurement Risk Management 98

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

MAY 31, 2019

The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. When it comes to technology and governance strategies , policies and standards, data should be at the center.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

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.

Metadata 122

Metadata IT Data Governance Data Quality 122

AWS Big Data

APRIL 29, 2024

Join us as we navigate these advanced security strategies in the context of Kubernetes and cloud computing. This system simplifies managing user access, saves time for data security administrators, and minimizes the risk of configuration errors.

Management 107

Management Big Data Data Warehouse Metadata 107

Rocket-Powered Data Science

JULY 19, 2023

These three emergent analytics products are: (a) Sentinel Analytics – focused on monitoring (“keeping an eye on”) multiple enterprise systems and business processes, as part of an observability strategy for time-critical business insights discovery and value creation from enterprise data sources. These may not be high risk.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

DECEMBER 13, 2023

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. Balancing reward and risk Once in the shadows, unstructured data is pivotal in helping generative AI enable human creativity and problem-solving. Artificial Intelligence

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

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

Octopai

JUNE 9, 2024

This challenge is especially critical for executives responsible for data strategy and operations. ” The Data Strategy HealthCo, like many forward-thinking organizations, recognized early on that data is not just a valuable asset but a strategic imperative. The lack of trust in data created inertia. This is where Octopai excels.

IT 52

IT Data-driven Predictive Analytics Metadata 52

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

Data Governance 107

Data Governance Unstructured Data Metadata Data Lake 107

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 74

Consulting Risk Metadata Risk Management 74

erwin

MAY 20, 2020

Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated. Neither of these are a sound strategy. Deploying a Data Governance Strategy. Discover risks. Audit and score adherence to rules.

Data Governance 144

Data Governance Metadata Risk Strategy 144

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy. First you need to analyze and design your compliance strategy and tactics, and then you need to operationalize them.

Data Governance 110

Data Governance Management Metadata Risk Management 110

erwin

JANUARY 30, 2020

Constructing a Digital Transformation Strategy: How Data Drives Digital. The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 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

erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. For some, the legacy approach to databases meets the needs of their current data strategy and maturity level.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Cloudera

MARCH 3, 2022

Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments. One possible solution is to adopt a hybrid cloud strategy. . From Bad to Worse.

Data Governance 104

Data Governance Enterprise Data Quality Metadata 104

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 111

Analytics Digital Transformation Forecasting Risk 111

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? million people at risk of catastrophic, flooding.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

JUNE 7, 2023

Focusing on the Data Pillar According to the Federal Data Strategy , the federal government views itself as the “preeminent supplier and sophisticated and ethical user of data.” It operates independently from compute and storage layers, offering integrated security and governance based on metadata.

Metadata 87

Metadata Data Lake Optimization Modeling 87

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. Without them an organisations’ AI exploits carry significant risk, particularly due to the triple-threats of data bias, mis-labelling, and poor selection.

Data Governance 145

Data Governance IT Risk Data Lake 145

Octopai

MAY 31, 2022

A data catalog uses your data ecosystem’s metadata to build a complete picture of every data asset: definition, calculation, access level, stewardship roles, and previews. Bonus tool: active metadata management. An active metadata management tool adds a maître d’ to self-serve analytics. when compared to a DIY version.

Management 52

Management Metadata Business Intelligence ROI 52

CIO Business Intelligence

APRIL 28, 2023

To ensure data sovereignty, rules may require that all related data, such as metadata, also resides locally. Organisations that run afoul of these laws risk fines or lawsuits. As these laws impact business operations, organisations are seeking better ways to comply with data sovereignty laws and mitigate compliance risks.

Risk 104

Risk Metadata Management Strategy 104

Alation

APRIL 19, 2021

Alation & Global Data Strategy). Easier Data Backup – Another peril of on-premise servers is the risk of data loss. Creating A Cloud Migration Strategy. Moving to the cloud requires a strategy. Most companies take months to plan out that strategy. Data Strategy Drives Cloud Strategy.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

APRIL 27, 2023

However, the ease of access to information has also increased the risk of disinformation, which can have serious consequences. The seminar was organized by the European Broadcasting Union (EBU) and the respective community that is dedicated to foster knowledge sharing and learning on data-related projects, such as metadata and AI.

Technology 52

Technology Metadata Broadcasting Visualization 52