Alation

JULY 19, 2021

That’s where metadata management best practices can help. Chris Bulock, co-author of Knowledge and Dignity in the Era of “Big Data”. Every organization is swimming in data, which makes finding the right data a challenge. In today’s world, metadata management best practices call for a data catalog.

Metadata 105

Metadata Management Data Governance Machine Learning 105

erwin

JANUARY 24, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that helps avoid data discrepancies and removes barriers to enterprise business intelligence and other meaningful use. So without further ado, here are the five key benefits of an automation framework for data governance.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

TDAN

NOVEMBER 5, 2019

There is … but one … Data Governance. Maybe you are one of those that believe that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0, […].

Data Governance 69

Data Governance Metadata Big Data Data Strategy 69

AWS Big Data

SEPTEMBER 25, 2023

We also see more and more data science and machine learning (ML) workloads. Amazon Redshift workload management (WLM) helps you maximize query throughput and get consistent performance for the most demanding analytics workloads by optimally using the resources of your existing data warehouse.

Management 97

Management Data Warehouse Metrics Dashboards 97

David Menninger's Analyst Perspectives

JANUARY 14, 2021

Organizations still struggle with limited data visibility and insufficient insights, which are often caused by a multitude of reasons such as analytic workloads running independently, data spread across multiple data centers, data governance, etc.

Machine Learning 227

Machine Learning Data Governance Big Data Data Science 227

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. They often report to data infrastructure and data science leads.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Cloudera

DECEMBER 1, 2023

Government agencies are actively exploring the use of AI for various applications, such as personalized citizen services, fraud detection, and smart infrastructure management. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

Data Governance 105

Data Governance Data-driven Strategy Data Architecture 105

David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 306

IT Data Architecture Big Data Data Processing 306

TDAN

FEBRUARY 28, 2023

The project management profession, like many others, faces an emergent threat from artificial intelligence (AI)-based technologies. Project managers are likely to experience a major upheaval during the 2020s. Although 80% is arguably a bit extreme, I expect […]

Management 59

Management Technology Data Strategy Data Governance 59

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Reduce data duplication and fragmentation.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

David Menninger's Analyst Perspectives

MAY 13, 2019

Organizations now must store, process and use data of significantly greater volume and variety than in the past.

Business Analytics 180

Business Analytics Big Data Analytics Enterprise 180

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

IBM Big Data Hub

JUNE 29, 2023

The term ‘IBP’ was introduced by the management consulting firm Oliver Wight to describe an evolved version of the sales and operations planning (S&OP process) they originally developed in the early 1980s. Strategic planning Integrated Business Planning starts with strategic planning.

Key Performance Indicator 81

Key Performance Indicator Forecasting Data Integration Sales 81

TDAN

FEBRUARY 28, 2023

Data breaches, in case you hadn’t noticed, are all the rage. In today’s world, when smart telephones are all the rage, it’s no surprise that smart technology is being adopted by business as well.

Management 59

Management Technology IT Data Governance 59

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). This award is especially significant because the winning information management solutions are chosen by the people who use them.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 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 93

Strategy Data Architecture Cost-Benefit Reporting 93

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

TDAN

JANUARY 14, 2020

Everyone is familiar with the term smartphone. These devices have become ubiquitous and many individuals have come to depend on them to navigate through our complicated world. They can assist users in a wide variety of ways that were unthinkable a mere 20 years ago. You might be tempted to take a look at yours […].

Data Governance 52

Data Governance Data Strategy Business Intelligence Big Data 52

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. How will we manage all this information?

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

IBM Big Data Hub

NOVEMBER 4, 2022

However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. So, it is imperative to have a clear data quality strategy that relies on proactive data quality management as data moves from producers to consumers. Data Governance.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Chat with a data management expert The post Why optimize your warehouse with a data lakehouse strategy appeared first on IBM Blog.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

Octopai

JANUARY 31, 2021

We have identified the top ten sites, videos, or podcasts online that deal with data lineage. Our list of Top 10 Data Lineage Podcasts, Blogs, and Websites To Follow in 2021. Data Engineering Podcast. This podcast centers around data management and investigates a different aspect of this field each week.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

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

TDAN

OCTOBER 1, 2019

One could argue it has become cliché to make references to the enormous significance and proliferation of data globally. Human and machine generated data is increasing even more rapidly at 10x that of traditional business data [1]. By […].

Data Governance 45

Data Governance IT Data Strategy Business Intelligence 45

TDAN

MARCH 20, 2024

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene.

Management 105

Management Technology Data Governance Business Intelligence 105

Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Conformed Data (Conformed Dimension). Data Capability. Data Capability Framework (Data Capability Model). Data Driven.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

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

AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. A data hub is a center of data exchange that constitutes a hub of data repositories and is supported by data engineering, data governance, security, and monitoring services.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

erwin

JUNE 11, 2020

Collectively, data intelligence refers to the tools, processes, and activities that are developed from business-related data that the company collects and processes for enhancing business processes. Data intelligence can encompass both internal and external business data and information.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Jet Global

JULY 2, 2019

Enterprise businesses run on a foundation of tools and functions that provide valuable data, but rarely in a standardized format. While your accounting department is using their preferred billing and invoicing software, your warehouse is relying on a completely different inventory management system.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. You get the flexibility to choose the table and file format best suited for your use case and get the benefit of centralized data governance to secure data access when using Athena. is also supported).

Data Lake 81

Data Lake Data Governance Cost-Benefit Machine Learning 81

David Menninger's Analyst Perspectives

OCTOBER 26, 2021

Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. The platform supports streaming data, SQL queries, graph processing and machine learning.

Big Data 325

Big Data Data Processing Machine Learning Modeling 325