CIO Business Intelligence

NOVEMBER 7, 2022

Developing models isn’t trivial, and data scientists certainly have challenges cleansing and tagging data, selecting algorithms, configuring models, setting up infrastructure, and validating results. This post is brought to you by NVIDIA and CIO. That same study found 94% of respondents say AI is critical to success over the next five years.

Machine Learning 124

Machine Learning Data Science Experimentation IoT 124

erwin

APRIL 2, 2021

Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents. Lack of a solid data governance foundation increases the risk of data-security incidents. So they can’t answer these fundamental questions: What data do we have and where is it now?

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

Cloudera

OCTOBER 26, 2020

Founded in good data governance, three fundamental steps ensure access to data is both secure and usable. . Provided new data is automatically classified and tagged, the right data access rules can be applied based on that data’s characterization. Just like when it comes to data access in business. Balancing security and useability.

IT 117

IT Unstructured Data Data-driven Data Governance 117

erwin

APRIL 11, 2019

Due to these pre-existing regulations, organizations operating within these sectors, as well as insurance, had some of the GDPR compliance bases covered in advance. But starting position aside, every data-driven organization should strive for a better standard of data management — and not just for compliance sake. employees).

Insurance 100

Insurance Data-driven Data Governance Metadata 100

erwin

JANUARY 7, 2021

Death of the Office” Alters Compliance: Because of the pandemic, many organizations have decided remote work is here to stay. As a result, look for more automated compliance solutions to hit the market. However, that definition is too narrow in terms of AI’s relation to data governance.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

erwin

JUNE 26, 2020

These fragmented data environments make data governance a challenge since business stakeholders, data analysts and other users are unable to discover data or run queries across an entire data set. Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

IBM Big Data Hub

DECEMBER 19, 2023

Rapidly deploying applications to cloud requires not just development acceleration with continuous integration, deployment and testing (CI/CD/CT), It also requires supply chain lifecycle acceleration, which involves multiple other groups such as governance risk and compliance (GRC), change management, operations, resiliency and reliability.

Data-driven 69

Data-driven Software Enterprise Testing 69

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. The job of data teams and data owners becomes challenging making sense of where data resides and where its origins are.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

CIO Business Intelligence

JUNE 5, 2023

Without a high level of expertise across all areas of integration, you risk compromising security, governance, and compliance. And if you’re in finance, healthcare, or the public sector you face a higher level of compliance considerations, making the cobbling together of point solutions an even more precarious endeavor.

Data Integration 52

Data Integration ROI Risk Finance 52

erwin

OCTOBER 31, 2019

Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. The Regulatory Rationale for Integrating Data Management & Data Governance. Who has had access to it? These can be frightening questions for an organization to answer.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Alation

SEPTEMBER 9, 2021

This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking? Tagging data types. The Value of Data Governance in Banking. Incorporating automation.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

erwin

AUGUST 6, 2020

Collaborate more effectively with their partners in data (management and governance) for greater efficiency and higher quality outcomes. Collaborate more effectively with their partners in data (management and governance) for greater efficiency and higher quality outcomes. Today, data literacy is more important than ever.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. But there are organizations that are already ahead of the game when it comes to Security and Governance, and they were recognized and celebrated in our seventh category of the Awards this year. . GDPR, CCPA, HIPAA.)

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Alation

JULY 15, 2021

With a strong emphasis on human-generated metadata and logfile-derived insights, it powers search and discovery for data analysts along with access-oriented data governance. Data Governance: Access with Compliance Guidance. The data governance challenge can be summarized as follows. A data catalog’s approach is key.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. Regulatory and compliance. Improve data discovery.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

Smart Data Collective

MARCH 23, 2022

One of the overlooked benefits of AI in website optimization pertains to ADA compliance. What is ADA Compliance? Now that’s out of the way, let’s look at four reasons you need to make ADA compliance a top priority for your digital store. AI Becomes a Valuable Tool for Ensuring Websites Are ADA Compliant. It’s as simple as that.

Cost-Benefit 101

Cost-Benefit Data mining Sales Testing 101

Alation

OCTOBER 26, 2021

Consistent, reliable reporting can then drive more positive outcomes for the entire business, including improved compliance, risk reduction, and increased revenue. Consistent, reliable reporting can then drive more positive outcomes for the entire business, including improved compliance, risk reduction, and increased revenue. “We

Finance 52

Finance Data Transformation Enterprise Metrics 52

Ontotext

NOVEMBER 28, 2023

It’s been a year since the VIGILANT consortium gathered for the project’s kick-off meeting when 17 European partners spanning academia, industry, government research centers, and Police Authorities (PAs) gathered together in Dublin, Ireland. Consequently, their workflows and approaches also overlapped and diverged.

Modeling 59

Modeling Reporting IT 59

IBM Big Data Hub

MAY 9, 2022

A data fabric automates data discovery, governance and consumption, enabling enterprises to use data to maximize their value chain. This data marketplace capability will enable organizations to efficiently deliver high quality governed data products at scale across the enterprise. Multicloud data integration.

Management 57

Management Data Quality Metadata Data Integration 57

Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

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 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. And how can leaders ensure their governance initiatives contribute to larger organizational goals? The first step towards a successful data governance strategy is setting appropriate goals and milestones.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

CIO Business Intelligence

DECEMBER 21, 2023

The diversification of payment methods and gradual increase in the volume of online transactions have cast a spotlight on the need for payment security compliance within the airline industry. released in March 2022, with mandatory compliance starting on March 31, 2024, represents an updated and refined version of the Standard.

Measurement 52

Measurement Risk Management Risk Management 52

Laminar Security

JUNE 29, 2023

Using a risk-based approach to deal with policy violations and continuous compliance monitoring will help avoid data exposures and fines. Public cloud spending and adoption is growing fast. Analysts predict that organizations will spend $591.8 billion on cloud infrastructure and services in 2023, up 20.7% from the year before.

Risk 52

Risk Big Data Testing Management 52

Alation

JUNE 30, 2021

Data catalogs have moved from ‘nice-to-have’ to ‘essential’ because they can address an organization’s need for centralization of metadata management while also ensuring compliance with data protection regulations and encouraging the adoption of a data culture,” Brust concludes. The Data Culture Platform. Intelligent SQL Editor.

Reporting 52

Reporting Metadata Data-driven Marketing 52

Alation

FEBRUARY 20, 2020

Nearly all of the rich contextual information found in Alation Catalog—including titles, descriptions, flags, tags, and even conversations—is available within the Data Explorer Window. Balanced Data Governance with MicroStrategy & Alation. abc/xyz, etc.). It’s just like selecting File > Open on Mac or Windows.

Reporting 52

Reporting Dashboards Data Governance Visualization 52

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 91

Data Lake Snapshot Big Data Data-driven 91

Octopai

OCTOBER 5, 2021

Manual work is restricted to reviewing and enriching the catalog entries with missing descriptions, ratings, data owners, tags, etc. When you’ve cleaned up the confetti and the cocktail glasses, it’s time to get down to business. This is a major investment. How will you choose the best data catalog software for your company?

Business Intelligence 84

Business Intelligence Software Cost-Benefit Metadata 84

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

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. To effectively promote business transformation, as well as fulfil regulatory and compliance mandates , there can’t be any mishaps.

Data Governance 40

Data Governance Risk Metadata Management 40

Cloudera

JANUARY 30, 2019

Meanwhile, IT has a difficult time keeping up with these changing needs while ensuring operational efficiency and compliance. IT organizations can deliver all of this with a scalable, secure, governed, self-service platform which avoids costly data and tool stack silos. Sound familiar? What is CDSW?

Data Science 72

Data Science Machine Learning Experimentation Cost-Benefit 72

bridgei2i

NOVEMBER 25, 2020

Automation and Data Governance. Auto-tagging, routing, organizing, adding data to relevant files, removing duplicate data, providing options to filter and sort the data to create different reports, providing data security, assisting with risk management and data compliance, etc. Robotics, driverless cars, etc.

Enterprise 52

Enterprise Data mining Consulting Risk Management 52

Alation

FEBRUARY 13, 2020

Search metadata supports tagging and keywords to help people find data. Search metadata supports tagging and keywords to help people find data. By contrast, organizations without a data catalog often have these questions: What is a data catalog? Why do we need a data catalog? What does a data catalog do? What is a Data Catalog?

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Jet Global

JULY 2, 2019

By removing the complexities of ingesting and storing all of your data while making it faster to get up and running with batch, streaming, and interactive analytics, Azure Data Lake works with existing IT investments for identity, management, and security for simplified data management and governance. What’s in a Data Lake?

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Cloudera

SEPTEMBER 23, 2020

Comprehensive auditing is provided to enable enterprises to effectively and efficiently meet their compliance requirements by auditing access and other types of operations across OpDB (through HBase). We are going to talk about auditing, different security levels, security features of Data Catalog, and Client Considerations.

Data Lake 80

Data Lake Metadata IoT Enterprise 80