erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

O'Reilly on Data

FEBRUARY 11, 2020

They have too many different data sources and too much inconsistent data. They don’t have the resources they need to clean up data quality problems. The building blocks of data governance are often lacking within organizations. In other words, the sheer preponderance of data sources isn’t a bug: it’s a feature.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

Alation

JANUARY 20, 2022

In Ryan’s “9-Step Process for Better Data Quality” he discussed the processes for generating data that business leaders consider trustworthy. To be clear, data quality is one of several types of data governance as defined by Gartner and the Data Governance Institute. Step 5: Data Profiling.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

datapine

MARCH 25, 2019

Conduct statistical analysis. One of the most pivotal types of data analysis methods is statistical analysis. This kind of analysis method focuses on aspects including cluster, cohort, regression, factor, and neural networks and will ultimately give your data analysis methodology a more logical direction. Set your KPIs.

Key Performance Indicator 217

Key Performance Indicator Statistics Big Data Visualization 217

O'Reilly on Data

MAY 21, 2019

You also need solutions that let you understand what data you have and who can access it. About a third of the respondents in the survey indicated they are interested in data governance systems and data catalogs. Marquez (WeWork) and Databook (Uber). How much model inference is involved in specific applications?

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

CIO Business Intelligence

JANUARY 14, 2025

To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies. And the Global AI Assessment (AIA) 2024 report from Kearney found that only 4% of the 1,000-plus executives it surveyed would qualify as leaders in AI and analytics. As part of that, theyre asking tough questions about their plans.

Strategy 141

Strategy ROI Experimentation Risk 141

erwin

JULY 9, 2021

At the root of data intelligence is data governance , which helps ensure the right level of data access, availability and usage based on a defined set of data policies and principles. The Importance of Data Governance. Organizations recognize the importance of effective data governance.

Data Governance 59

Data Governance Business Driver Statistics Strategy 59

BI-Survey

JANUARY 7, 2025

Merv Adrian and Shawn Rogers discuss practical strategies for modernizing data infrastructures to unlock AI capabilities. Disrupting Data Governance with Laura Madsen & Tiankai Feng Explore how disruptive approaches to data governance are reshaping businesses ability to manage and leverage data.

Statistics 52

Statistics Data-driven Data Strategy Strategy 52

Alation

JANUARY 27, 2022

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. We realized that your use cases need more flexibility in data governance.

Data Lake 119

Data Lake Metadata Data Governance Statistics 119

IBM Big Data Hub

AUGUST 23, 2023

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.

Data Governance 52

Data Governance Enterprise Modeling Risk 52

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Are data architects in demand?

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

erwin

APRIL 29, 2020

For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. The CEO also makes decisions based on performance and growth statistics. Also, different organizational stakeholders (customers, employees and auditors) need to be able to understand and trust reported data.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

CIO Business Intelligence

JULY 23, 2024

Third-party data breaches The CIO’s AI strategies and objectives in driving a data-driven organization result in the addition of many third-party partners, solutions, and SaaS tools. In many organizations, the velocity to add SaaS and genAI tools is outpacing IT, infosec, and data governance efforts.

Risk 142

Risk IT Risk Management Cost-Benefit 142

Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Anmut

JANUARY 30, 2025

In their study a sample of 75 executives who completed this exercise found that 47% of newly created data records had at least one critical error, and only 3% of the DQ scores could be rated acceptable using the loosest-possible standard. These are scary statistics. A useful way of thinking about this is to consider four issues.

Data Quality 52

Data Quality Cost-Benefit Statistics Data-driven 52

CIO Business Intelligence

JANUARY 22, 2024

An enormous amount of data is required to power generative AI applications and—unlike static algorithmic models and earlier versions of AI—these models require real-time data from numerous business functions to unlock their full value. To learn more, visit us here.

Data Governance 52

Data Governance Statistics Enterprise Predictive Analytics 52

AWS Big Data

FEBRUARY 26, 2025

AWS Glue Data catalog now automates generating statistics for new tables The AWS Glue Data Catalog now automates generating statistics for new tables. These statistics are integrated with a cost-based optimizer (CBO) from Amazon Redshift and Athena, resulting in improved query performance and potential cost savings.

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Top 5 Platforms that Control the Future of BI.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data Science 138

TDAN

JUNE 30, 2020

It’s a data-driven and digital world out there! The exponential growth of information [Big Data Statistics 2020] makes data governance a key priority for every organization. Corporate boardrooms have always taken information security and data privacy very seriously since it directly impacts the […].

Strategy 59

Strategy Statistics Data Governance Big Data 59

Cloudera

OCTOBER 5, 2023

Your organization is not alone — many organizations struggle to move towards data as the cornerstone of their organization. Here are five challenges that you need to overcome to become a data leader: Bad data governance Your insights are only as good as your data.

Data-driven 84

Data-driven Enterprise Data Governance Unstructured Data 84

David Menninger's Analyst Perspectives

APRIL 23, 2025

Connecting data from these islands of automation at scale is a significant barrier to successful adoption of AI technology. It is a challenge that Databricks is designed to address with capabilities in data engineering, data warehousing, stream data processing, data governance, data sharing, data science and AI.

Cost-Benefit 130

Cost-Benefit Manufacturing Enterprise Software 130

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. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

CIO Business Intelligence

SEPTEMBER 30, 2024

AI ‘bake-offs’ under way Mathematica’s PaaS has not yet implemented AI models in production, but Bell grasps the power of machine learning (ML) and generative AI to uncover new insights that will help Mathematica’s clients.

Data Quality 116

Data Quality Experimentation Insurance Statistics 116

Smart Data Collective

OCTOBER 17, 2022

In fact, Statista predicts that by 2025, the world will have produced slightly more than 180 zettabytes of data. Consider the statistics from Domo that the number of home-based workers has increased from roughly 15% 18 months ago to more than 50% now (it was close to 100% at times during the epidemic). Data pipeline maintenance.

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

Sanjeev Mohan

SEPTEMBER 14, 2020

Teradata Vantage, the venerable data warehouse has over 200 pre-packaged ML functions and algorithms from data preparation to statistics (linear regression, K-Means, Random Forest, Naïve Bayes, SVM, XGBoost etc.) The notebooks allow SQL queries to coexist along with training code written in languages like R and Python.

Machine Learning 93

Machine Learning Data Warehouse Deep Learning Statistics 93

AWS Big Data

JUNE 9, 2023

Data in customers’ data lakes is used to fulfil a multitude of use cases, from real-time fraud detection for financial services companies, inventory and real-time marketing campaigns for retailers, or flight and hotel room availability for the hospitality industry. Frequent compaction can be used to optimize read performance.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. Organization: Columbia University Price: Students pay Columbia Engineering’s rate of tuition (US$2,362 per credit).

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Cloudera

MAY 22, 2023

Ideally you are realizing these benefits using Cloudera Data Catalog. Total data standardization is a multiyear journey and likely unnecessary, but the low hanging fruit is ripe for the picking. Report Standardization Take these steps: Inventory reports, including ownership, usage statistics, and report frequency.

Statistics 74

Statistics Data-driven Reporting Dashboards 74

Cloudera

DECEMBER 20, 2021

Understanding that the future of banking is data-driven and cloud-based, Bank of the West embraced cloud computing and its benefits, like remote capabilities, integrated processes, and flexible systems. The platform is centralizing the data, data management & governance, and building custom controls for data ingestion into the system.

Metadata 91

Metadata Data-driven Cost-Benefit Digital Transformation 91

Octopai

JUNE 27, 2022

Work out your organization’s list of needs, sort them in order of priority, and use that as the basis for evaluating data catalog candidates. We’re not going to lie: if you want to make your data catalog a rousing business success, you’re going to have to put in work.

Management 99

Management Metadata Visualization Data Governance 99

AWS Big Data

JULY 29, 2024

This ensures that each change is tracked and reversible, enhancing data governance and auditability. History and versioning : Iceberg’s versioning feature captures every change in table metadata as immutable snapshots, facilitating data integrity, historical views, and rollbacks.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

datapine

SEPTEMBER 29, 2022

This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle. By following these best practices, you should be able to leave your information ready to be analyzed.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

OCTOBER 6, 2019

– Visualizing your data landscape: By slicing and dicing the data landscape in different ways, what connections, relationships, and outliers can be found? – Analyzing the data: Using statistical methods, what insights can be gained by summarizing the data? What hidden trends can be identified?

Slice and Dice 72

Slice and Dice Metadata Visualization Data Governance 72

CIO Business Intelligence

NOVEMBER 9, 2022

Business professionals and leaders can leverage these to manipulate data so they can identify market trends and opportunities, for example. They’re not required to have any experience with analytics or background in statistics or other related disciplines. Have a data governance plan as well to validate and keep the metrics clean.

Analytics 137

Analytics Slice and Dice Metrics Sales 137