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 185

Machine Learning Data Governance Big Data Data Science 185

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

TDAN

JANUARY 3, 2023

Have you ever considered the value of data? Let me ask you a question: Where does data typically start? Data usually begins somewhere in a hard drive, warehouse, NAS (network-attached storage), server or some other system that can store data. When data is collected and stored, it […].

Big Data 52

Big Data IT Data Strategy Business Intelligence 52

Cloudera

DECEMBER 1, 2023

Governments must ensure that the data used for training AI models is of high quality, accurately representing the diverse range of scenarios and demographics it seeks to address. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

Data Governance 104

Data Governance Data-driven Strategy Data Architecture 104

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.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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 156

Business Analytics Big Data Analytics Enterprise 156

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 311

Management Data Warehouse Data Quality Data Integration 311

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

Business Analytics 108

Business Analytics Analytics Data Quality Big Data 108

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

CIO Business Intelligence

NOVEMBER 28, 2023

Still, to truly create lasting value with data, organizations must develop data management mastery. This means excelling in the under-the-radar disciplines of data architecture and data governance. And here is the gotcha piece about data.

Management 131

Management Data Architecture Data Lake Data Strategy 131

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

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. Basic Business Intelligence Experience is a Must.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

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.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Octopai

APRIL 19, 2021

Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Strong metadata management enhances business intelligence which leads to more informed strategy and better performance.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

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 264

IT Data Architecture Big Data Data Processing 264

IBM Big Data Hub

JUNE 29, 2023

This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources. Implementing advanced analytics and business intelligence tools can further enhance data analysis and decision-making capabilities.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). Best Data Governance Solution (erwin Data Intelligence). Best Data Governance Solution (erwin Data Intelligence).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

Alation

JULY 19, 2021

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. But there is a way to catalog and classify data that is mind blowing: it’s data…about data ! Why Is Metadata Important?

Metadata 105

Metadata Management Data Governance Machine Learning 105

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

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 94

Strategy Data Architecture Cost-Benefit Reporting 94

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

IBM Big Data Hub

DECEMBER 16, 2022

And because data assets within the catalog have quality scores and social recommendations, Alex has greater trust and confidence in the data she’s using for her decision-making recommendations. This is especially helpful when handling massive amounts of big data. Protected and compliant data.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

IBM Big Data Hub

NOVEMBER 4, 2022

Data observability capability makes data quality checks upstream possible. Data Governance. Ensuring data quality is critical for data governance initiatives.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

Octopai

JANUARY 31, 2021

Specifically, when it comes to data lineage, experts in the field write about case studies and different approaches to this utilizing this tool. Among many topics, they explain how data lineage can help rectify bad data quality and improve data governance. . TDWI – Philip Russom. Malcolm Chisholm.

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

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 102

Data Lake Sales Data Warehouse Snapshot 102

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

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

HDInsight: When it comes to Big Data analysis, the open-source Hadoop framework remains one of the most popular options. Just like actual lakes, the long-term health of your organizational data lake depends on defending it from ‘pollution’—data governance is critical to ensure your data lake doesn’t become a data swamp.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

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 318

Big Data Data Processing Machine Learning Modeling 318

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

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.

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

TDAN

SEPTEMBER 3, 2019

The currency of a data governance initiative is the data that will be involved in developing the appropriate operating framework for your organization. The point of implementing data governance is to enable an enterprise to readily access and use the information that makes their business run in a coherent and collective manner.

Data Governance 40

Data Governance Enterprise Data Quality Business Intelligence 40