erwin

DECEMBER 9, 2024

Will the new creative, diverse and scalable data pipelines you are building also incorporate the AI governance guardrails needed to manage and limit your organizational risk? We will tackle all these burning questions and more in this article. Like peanut butter is to jelly, so data quality and observability is to your data catalog.

Metadata 52

Metadata Data Quality Sales Modeling 52

Data Virtualization

NOVEMBER 28, 2024

appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. One surprising statistic from the Rand Corporation is that 80% of artificial intelligence (AI). The post How Do You Know When You’re Ready for AI?

Statistics 52

Statistics Data Integration Management Data Quality 52

Data Virtualization

OCTOBER 31, 2024

Reading Time: 2 minutes When making decisions that are critical to national security, governments rely on data, and those that leverage the cutting edge technology of generative AI foundation models will have a distinct advantage over their adversaries. Pros and Cons of generative AI.

Management 52

Management Modeling Data Integration Technology 52

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

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Data Virtualization

JANUARY 21, 2025

The post OReilly Releases First Chapters of a New Book about Logical Data Management appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. Gartner predicts that by the end of this year, 30%.

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Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses. Both approaches aim to improve data quality and enable accurate analysis.

Data Quality 105

Data Quality Data Warehouse Data-driven Reporting 105

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice.

Machine Learning 276

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CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

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DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It also addresses the unique demands of specialized Data Consumers who require personalized data tracking.

Data Quality 100

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Grooper

MARCH 5, 2020

Lower cost data processes. This article is will help you understand the critical role of information stewardship as it relates to data and analytics. These stewards monitor the input and output of data integrations and workflows to ensure data quality. More effective business process execution.

Data Lake 98

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Octopai

JANUARY 31, 2021

The content on A-Team Insight covers financial markets and the way in which technology and data management play a part. This site offers expert knowledge and articles geared towards decision-makers in investment management firms and investment banks. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

Data Governance 83

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datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Employ a Chief Data Officer (CDO). Big data guru Bernard Marr wrote about The Rise of Chief Data Officers. Clean data in, clean analytics out. Because it is that important. It’s that simple.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Wayne Yaddow

FEBRUARY 21, 2025

However, errors in transformations and conversions can propagate through entire data ecosystems, leading to inaccurate reports, flawed analytics, and broken downstream processes. This article presents two essential frameworks that guide teams in testing and validating data transformations and conversions.

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TDAN

AUGUST 7, 2024

Being an AI-ready organization involves identifying and then overcoming data issues that hinder the effective use of AI and generative AI. These organizations ensure their data is prepared for AI applications including data cleansing, normalization, and data integrity.

Data Science 91

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Data Virtualization

JULY 4, 2024

The post Harnessing Real-Time, Integrated Data to Accelerate ESG Initiatives appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 65

Finance Data Integration Management Data Quality 65

Ontotext

JULY 29, 2021

After the design of this “architectural plan untested by anything except thought experiments”, in 2001 the Semantic Web seized the public’s imagination with a seminal article featured in Scientific American called: The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities.

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Wayne Yaddow

FEBRUARY 18, 2025

While transformations edit or restructure data to meet business objectives (such as aggregating sales data, enhancing customer information, or standardizing addresses), conversions typically deal with changing data formats, such as from CSV to JSON or string to integertypes.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

Jedox

FEBRUARY 13, 2020

The power of artificial intelligence (AI) lies within its ability to make sense of large amounts of data. For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

Data Virtualization

MARCH 15, 2024

Join us as we embark on a journey to explore this intriguing domain, unravelling its core principles, diverse applications, associated benefits, The post Hyper-Personalization in Banking: Principles, Applications, Benefits, and Best Practices appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and (..)

Interactive 65

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Smart Data Collective

SEPTEMBER 25, 2019

Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands. It Supports Data Integrity. Something else to keep in mind about encryption technology for data protection is that it helps increase the integrity of the information alone.

Technology 102

Technology Statistics Strategy Insurance 102

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Data Virtualization

MARCH 7, 2024

One thing is clear; if data-centric organizations want to succeed in. The post Data Management Predictions for 2024: Five Trends appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 59

Management Data Integration Strategy Data Lake 59

Data Virtualization

JANUARY 25, 2024

One thing is clear; if data-centric organizations want to succeed in 2024, The post Data Management Predictions for 2024: Five Trends appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 59

Management Data Integration Strategy Data Lake 59

Data Virtualization

OCTOBER 19, 2023

This is why data mesh has emerged as a revolutionary approach to managing and scaling data infrastructure. The post Data Mesh: Challenges and Solutions appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management Data-driven Data Quality 52

Smarten

APRIL 19, 2024

In this article, we will discuss the current state of AI in analytics, as well as the future of this burgeoning industry and how it can be applied to analytics to simplify and clarify results and to make analytics easier for businesses and business users to leverage.

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59

Data Virtualization

JANUARY 25, 2023

Data Democratization Organizations are giving more of their. The post Data Management Trends in 2023: My Top 5 Trends to Watch appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 52

Management Data Integration Data-driven Data Quality 52

Data Virtualization

SEPTEMBER 26, 2024

That’s why we created this series of posts exploring the powerful combination of data fabric, The post A Deep Dive into Harnessing Generative AI with Data Fabric and RAG appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management Technology IT 52

Smarten

AUGUST 4, 2023

If your team has easy-to-use tools and features, you are much more likely to experience the user adoption you want and to improve data literacy and data democratization across the organization. As you consider augmented analytics solutions, be sure to thoroughly review the features and functionality for data preparation.’

Data Lake 52

Data Lake Machine Learning Data Integration Data Quality 52

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk).

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Data Virtualization

AUGUST 4, 2022

The post The Secret Sauce of LeasePlan’s Award-Winning Logical Data Fabric appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. This is a testament to the maturity of.

Data Strategy 52

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Jet Global

MAY 1, 2020

We can almost guarantee you different results from each, and you end up with no data integrity whatsoever. Data quality issues. Here’s the ugly truth: Everybody has a data quality problem. This is because people won’t use BI applications that are founded on irrelevant, incomplete, or questionable data.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Howard Dresner

JANUARY 20, 2014

I don’t like making predictions, so rest assured this is not another of a myriad of predictions articles that hit the media annually. Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere.

Business Intelligence 56

Business Intelligence Software Predictive Analytics Data Processing 56

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

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IBM Big Data Hub

AUGUST 23, 2023

Making LLMs useful as enterprise software requires governing the training data so that companies can trust the safety of the data and have an audit trail for the LLM’s consumption of the data. Data governance for LLMs The best breakdown of LLM architecture I’ve seen comes from this article by a16z (image below).

Data Governance 52

Data Governance Enterprise Modeling Risk 52

Ontotext

JANUARY 26, 2023

published as a special topic article in AI magazine, Volume 43, Issue 1 , Spring 2022. The paper introduces KnowWhereGraph (KWG) as a solution to the ever-growing challenge of integrating heterogeneous data and building services on top of already existing open data.

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Ontotext

JANUARY 6, 2022

In compliance with the EU market transparency regulation (( Regulation EU No 5 43/2013 of 14 June 2013 on submission and publication of data in electricity markets ), ENTSO-E is doing a great job of collecting electricity market data (generation, transmission, consumption, balancing, congestion, outages, etc.) c and 14.2.c.

Marketing 52

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TDAN

DECEMBER 18, 2024

Data migration the process of transferring data from one system to another is a critical undertaking for organizations striving to upgrade infrastructure, consolidate systems, or adopt new technologies. However, data migration challenges can be very complex, especially when doing large-scale data migration projects.

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