Alation

DECEMBER 15, 2022

August 2017: Alation debuts as a leader in the Gartner MQ for Metadata Management Solutions. June 2018: Dresner Advisory Services names Alation the #1 data catalog in its Data Catalog End-User Market Study for the 2nd time. August 2018: Gartner names Alation a 2X Leader in the MQ for Metadata Management Solutions.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

O'Reilly on Data

JANUARY 29, 2019

In 2018, we decided to run a follow-up survey to determine whether companies’ machine learning (ML) and AI initiatives are sustainable—the results of which are in our recently published report, “ Evolving Data Infrastructure.”. Data scientists and data engineers are in demand.

Deep Learning 208

Deep Learning Machine Learning Data Science Metadata 208

erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01). AutoPandas: Origins.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Alation

FEBRUARY 13, 2020

Recent recognition for the Alation Data Catalog includes: Dresner Advisory Services 2018 Technology Innovation Awards for Data Catalogs. IDC Innovators: Data Intelligence Software Platforms, 2019 Report. Ventana Research: 2018 Digital Innovation Awards for Big Data.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

Octopai

JANUARY 19, 2021

Octopai can fully map the BI landscape and trace metadata movement in a mixed environment including complex multi-vendor landscapes. Octopai’s cloud-based offerings hasten data delivery and allow full automation to dramatically accelerate the entire BI data lifecycle.

Metadata 52

Metadata ROI Optimization Data Quality 52

O'Reilly on Data

MAY 21, 2019

For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production. With all the hype around AI, it can be tempting to jump into use cases involving data types with which you aren’t familiar. Source: O'Reilly.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

JULY 26, 2021

One of the first steps in any digital transformation journey is to understand what data assets exist in the organization. When we began, we had a very technical and archaic tool, an enterprise metadata management platform that cataloged our assets. AmFam first implemented the Alation Data Catalog in 2018.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

Sanjeev Mohan

FEBRUARY 6, 2019

Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance. I ended up writing two documents on data governance. By the middle of 2018, GDPR was in effect and our clients’ attention shifted towards cloud migration. What are the weaknesses of GCP?

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Alation

FEBRUARY 13, 2020

By leveraging Google-like smart search to find data assets; using automation and self-learning instead of burdening people with the need to manually update metadata in multiple places; and ensuring that metadata is maintained by the whole data community and is not dependent on a centralized IT team.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

Andrew White

JULY 5, 2023

Why some part of the market started to use “metrics store” and another part went with “data catalog” or “analytics catalog” is beyond me. What this vendor called “a data catalog for data governance” during today’s briefing was really speaking and selling to the D&A governance use case.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Octopai

JANUARY 25, 2021

The cost of data breaches in 2019 was 87% higher than in 2018 , with the number rising each year. With such sensitive information at risk, the federal government passed the Health Insurance Portability and Accountability Act (HIPAA). There are plenty of strict regulations that healthcare providers must adhere to within HIPAA.

Insurance 52

Insurance Metadata Statistics Reporting 52

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

FEBRUARY 13, 2020

We saw this first-hand this fall on our 2018 MLDC World Tour that started at O’Reilly’s Strata New York conference.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector. Our paths converge.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. This is not just to implement specific governance rules — such as tagging, metadata management, access controls, or anonymization — but to prepare for the potential for rules to change in the future. .

Data Architecture 97

Data Architecture Metadata Digital Transformation Finance 97

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing for compliance.

Digital Transformation 56

Digital Transformation Data Governance Data Warehouse Data-driven 56

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data Governance Tools for Regulatory Compliance.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

Alation

FEBRUARY 13, 2020

billion merger of Cloudera and Hortonworks, the widely scrutinized GDPR (General Data Protection Regulation), or the Cambridge Analytica scandal that rocked Facebook. Amid the headline grabbing news, 2018 will also be remembered as the year of the data catalog. Gartner: Magic Quadrant for Metadata Management Solutions.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data Governance Tools for Regulatory Compliance.

Data Governance 40

Data Governance Cost-Benefit Data-driven Metadata 40

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. Subscribe to Alation's Blog.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Alation

APRIL 12, 2022

Two decades on, the role has expanded to include responsibility for analytics, and even data monetization. Between 2010 and 2018 the number of CDOs present in Fortune 1500 companies increased nearly 8-fold. Today, the modern CDO drives the data strategy for the entire organization. The CDO’s Role in Driving a Data Strategy.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

Alation

FEBRUARY 20, 2020

According to the report, “Demand for data catalogs is soaring as organizations struggle to inventory distributed data assets to facilitate data monetization and conform to regulations.” The tour stops at Gartner Symposium next month, where you can learn first hand why Gartner believes “Data Catalogs are the New Black.”.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52