Andrew White

OCTOBER 22, 2021

MDM and/or D&A Governance and Stewardship 26. Monetization/Link data to outcome (value pyramid) business value of data/business impact 20. Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13. VP Data Science 1.

IT 52

IT Data Lake Strategy Data Science 52

Alation

FEBRUARY 13, 2020

In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”.

Metadata 52

Metadata Management Data Lake Data Governance 52

Octopai

MAY 31, 2022

Why on earth do you want to manage your data? The need for data management is a given. Data management for BI is different than data management for other reasons and, correspondingly, needs a different set of tools. Data as an asset vs. data as a liability. These two types of data management (i.e.

Management 52

Management Metadata Business Intelligence ROI 52

Alation

FEBRUARY 13, 2020

This article is based on a podcast Ron Powell conducted with Sharon Graves, Enterprise Data and BI Tools Evangelist for GoDaddy, about data curation, data stewardship, and data catalogs. His focus is on business intelligence, analytics, big data, and data warehousing. What did that involve?

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Insight

APRIL 16, 2019

Trust as the foundation of the modern tech stack Our apps and connected devices produce a deluge of data that is collected with the goal of improving and funding the services that enrich our lives. If a company treats security and data privacy as afterthoughts, then users will vote with their clicks and take their data elsewhere.

Machine Learning 68

Machine Learning Software Risk Reporting 68

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. What exactly is DataOps ?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

CIO Business Intelligence

JANUARY 15, 2024

When you generate and collect as much data as the US National Aeronautics and Space Administration (NASA) does, finding just the right data set for a research project can be a problem. Overall, the agency houses more than 88,000 datasets and 715,000 documents across 128 data sources. That’s where new discoveries are made.”

Informatics 117

Informatics Metadata Data mining Digital Transformation 117

Peter James Thomas

AUGUST 29, 2018

Today I am talking to Christopher Bannocks , who is Group Chief Data Officer at ING. As stressed in other recent In-depth interviews [1] , data is a critical asset in banking and related activities, so Christopher’s role is a pivotal one. 2] I was asked to help solve the data problem.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Andrew White

OCTOBER 20, 2022

Gartner’s Value Pyramid and “linking data to outcome” is a very popular workshop tool to help business and non-business folks explore how a business outcome can be de-composed into real data. We talked about about organization, setting up governance boards, and the role of stewardship. Key Take-Aways.

IT 52

IT Strategy Insurance Data-driven 52

DataKitchen

FEBRUARY 2, 2023

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. What will the world of data tools be like at the end of 2025? Central IT Data Teams focus on standards, compliance, and cost reduction. Recession: the party is over.

Metadata 130

Metadata Testing Risk Data Science 130

Octopai

DECEMBER 12, 2021

A data asset is only an asset if you can use it to help your organization. What enables you to use all those gigabytes and terabytes of data you’ve collected? Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Where does metadata come from?

Metadata 93

Metadata Management Data Quality Data Governance 93

O'Reilly on Data

OCTOBER 13, 2020

From a technical perspective, it is entirely possible for ML systems to function on wildly different data. For example, you can ask an ML model to make an inference on data taken from a distribution very different from what it was trained on—but that, of course, results in unpredictable and often undesired performance. I/O validation.

Management 243

Management Metrics Machine Learning Modeling 243

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Newly generated metadata will then point to source data files as illustrated in the diagram below. .

Metadata 77

Metadata Data Warehouse Snapshot Data Quality 77

Andrew White

JUNE 11, 2019

Google acquires Looker – June 2019 (infrastructure/search/data broker vendor acquires analytics/BI). Salesforce closes acquisition of Mulesoft – May 2018 (business app vendor acquires data integration). Data Management. Data and Analytics Governance. Information Stewardship Solutions.

IT 82

IT Data Quality Data Integration Business Objectives 82

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Data Science meets Climate Science. Data veracity, data stewardship, and heros of data science.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Alation

FEBRUARY 13, 2020

It requires organizations to adopt a scientific mindset of testing and iteration to find the truth, rather than using data to support a predetermined path. According to a new survey from NewVantage Partners , 72% of executives say they have yet to forge a data culture, let alone a customer data culture. The reason?

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

Alation

SEPTEMBER 23, 2021

What Is a Data Catalog? A data catalog is a centralized storage bank of metadata on information sources from across the enterprise, such as: Datasets. The data catalog also stores metadata (data about data, like a conversation), which gives users context on how to use each asset. Business intelligence reports.

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

Cloudera

MAY 22, 2018

Times are changing, and the traditional models of analytics and data management don’t serve the needs of the modern enterprise, so the way to address these topics is changing too. The typical approach has been on-premises data centers, stuffed with racks of dedicated hardware for single-purpose applications, available to only a few people.

Enterprise 40

Enterprise Recreation/Entertainment Data Warehouse Machine Learning 40

Andrew White

JANUARY 12, 2021

Predicts 2021: Data and Analytics Leaders Are Poised for Success but Risk an Uncertain Future : By 2023, 50% of chief digital officers in enterprises without a chief data officer (CDO) will need to become the de facto CDO to succeed. By 2023, ERP data will be the basis for 30% of AI-generated predictive analyses and forecasts.

Analytics 144

Analytics Metadata Enterprise Data-driven 144

CIO Business Intelligence

APRIL 15, 2024

Foundry / CIO.com Even the IT organization as a whole is being recast to be more business driven: Forty-three percent are automating business and IT processes, 32% are implementing AI applications, and 29% are making data more available as part their business-centric charter.

Digital Transformation 120

Digital Transformation Strategy Technology Enterprise 120

DataRobot

APRIL 29, 2021

This list includes: Rachik Laouar is Head of Data Science for the Adecco Group. Rachik is working to transform that company’s products through data analytics and AI and will be speaking on the topic, Executive Track: Turning an Industry Upside Down. . Eric Weber is Head of Experimentation And Metrics for Yelp.

Machine Learning 59

Machine Learning Experimentation Data-driven Data Science 59

Alation

FEBRUARY 13, 2020

This was an eventful year in the world of data and analytics. 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.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Jen Stirrup

OCTOBER 28, 2019

The Microsoft Power BI team have released a preview Data Lineage feature and it is a good start for organizations who are starting to think about data management. Businesses need a clear line of sight on data asset ownership and stewardship. Data lineage has always been important but there is renewed attention on it.

IT 85

IT Business Intelligence Data Governance ROI 85

Alation

FEBRUARY 20, 2020

Data catalogs are here to stay. This week, two independent analyst reports validated what we’ve known for years – data catalogs are critical for self-service analytics.[1]. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. This is Forrester’s inaugural Wave on data catalogs. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Andrew White

MARCH 22, 2019

I have blogged before (see this from 2014: A Day in the Life of an Analyst” at Gartner’s IT/Expo Symposium – Day 3 ) about the hot topics I discussed with attendees at our Symposia and data and analytics conferences. MDM is dead; at least the old idea that was peddled that all data in a master file is master data.

Analytics 68

Analytics Metadata Data Governance Management 68

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program? Establishing a solid vision and mission is key.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven? Ooo good question.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 77

Management Risk Measurement Optimization 77