Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable. Your metadata gives users context.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

Octopai

OCTOBER 18, 2021

First, what active metadata management isn’t : “Okay, you metadata! Now, what active metadata management is (well, kind of): “Okay, you metadata! Metadata are the details on those tools: what they are, what to use them for, what to use them with. . That takes active metadata management. Quit lounging around!

Metadata 83

Metadata Management IT Data Quality 83

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

erwin

DECEMBER 19, 2019

To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year. The Best Data Governance and Metadata Management Blog Posts of 2019. Four Use Cases Proving the Benefits of Metadata-Driven Automation.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

TDAN

APRIL 6, 2021

A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses.

Data Warehouse 52

Data Warehouse Metadata Data-driven Modeling 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure. Then, you transform this data into a concise format.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

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

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Cloudera

APRIL 18, 2024

With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. Do I trust the models to give me useful insights? Do I trust my data to be ready for use in AI?

Analytics 108

Analytics Metadata Data Strategy Optimization 108

Alation

DECEMBER 15, 2021

An effective data governance strategy is critical for unlocking the full benefits of this information. Let’s explore the key steps for building an effective data governance strategy. What is a Data Governance Strategy? A data governance strategy provides a framework that connects people to processes and technology.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

AWS Big Data

APRIL 17, 2024

The following diagram illustrates an indexing flow involving a metadata update in OR1 During indexing operations, individual documents are indexed into Lucene and also appended to a write-ahead log also known as a translog. The replica copies subsequently download newer segments and make them searchable.

Optimization 115

Optimization Snapshot Metadata Cost-Benefit 115

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. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

IBM Big Data Hub

APRIL 10, 2023

The approach should be designed to provide enough metadata that key HR decision makers can identify which processes and decisions are informed by AI while maintaining anonymity and privacy in the data itself. A data fabric is an architectural approach designed to simplify data access to facilitate self-service data consumption at scale.

Strategy 87

Strategy Data Architecture Cost-Benefit Reporting 87

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

IBM Big Data Hub

JANUARY 5, 2023

Apply metadata to contextualize existing and new data to make it searchable and discoverable. Meaning, data architecture is a foundational element of your business strategy for higher data quality. Build data modeling lineage to perform root cause analysis of data quality issues. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

APRIL 2, 2024

We also detail how the feature works and what criteria was applied for the model and prompt selection while building on Amazon Bedrock. Solution overview The AI recommendations feature in Amazon DataZone was built on Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models.

Metadata 91

Metadata Metrics Data-driven Modeling 91

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

IBM Big Data Hub

MAY 20, 2024

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. The answer lies in the data used to train these models and how that data is derived. This leads to better communication, improved model performance and increased trust in the overall ML process.

Machine Learning 88

Machine Learning Modeling Strategy Digital Transformation 88

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model. Also, a column in the dataset indicates if each flight had arrived on time or late.

Modeling 83

Modeling Statistics Machine Learning Testing 83

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable. A metadata layer helps build the relationship between the raw data and AI extracted output.

Unstructured Data 120

Unstructured Data Metadata Management Analytics 120

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. Learn more about how to design and implement a data strategy that takes advantage of a hybrid multicloud landscape.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

Cloudera

MAY 6, 2021

In this article, I will be focusing on the contribution that a multi-cloud strategy has towards these value drivers, and address a question that I regularly get from clients: Is there a quantifiable benefit to a multi-cloud deployment? Risk Mitigation.

Strategy 91

Strategy Cost-Benefit Optimization Risk 91

erwin

MARCH 21, 2019

With business process modeling (BPM) being a key component of data governance , choosing a BPM tool is part of a dilemma many businesses either have or will soon face. Understanding the typical use cases for business process modeling is the first step. Choosing a BPM Tool: An Overview. Silo Buster. And how easy is this to achieve?

Modeling 75

Modeling Metadata IT Data Governance 75

AWS Big Data

JULY 14, 2023

The better organized the catalog is, the higher the potential for reuse and the return on investment for the services transformation strategy. The model should be able to showcase to LOBs their categories and capabilities. It is causing a ripple effect across IT organizations and shifting the way IT delivers applications and services.

Modeling 72

Modeling Visualization Reporting Measurement 72

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 121

Data Architecture Data Warehouse Statistics Visualization 121

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Figure 1: Flow of actions for self-service analytics around data assets stored in relational databases First, the data producer needs to capture and catalog the technical metadata of the data asset.

Metadata 76

Metadata Data Lake Data Processing Data-driven 76

Alation

JUNE 2, 2022

These include tracking, documenting, monitoring, versioning, and controlling access to AI/ML models. Currently, models are managed by modelers and by the software tools they use, which results in a patchwork of control, but not on an enterprise level. And until recently, such governance processes have been fragmented.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

CIO Business Intelligence

APRIL 30, 2024

Your AI strategy is only as good as your data strategy,” Tableau CMO Elizabeth Maxon said in a press conference Monday. But to us, it’s more than just having a data strategy; it’s also about building a great foundation of a data culture.”

Analytics 67

Analytics Metrics Visualization Dashboards 67

TDAN

JUNE 20, 2023

These days, there is much conversation about the necessity of the data model. The data model has been around for several decades now and can be classified as an artifact of an earlier day and age. But is the data model really out of date? And exactly why do we need a data model, anyway? […]

Modeling 52

Modeling Metadata Data Strategy Data Governance 52

CIO Business Intelligence

MARCH 7, 2024

Central to Salesforce’s bid for enterprise gen AI development mindshare are Copilot Builder for creating custom AI actions for business tasks, Prompt Builder for building and activating custom prompts, and Model Builder for building or importing large language models (LLMs) and other AI models.

Enterprise 102

Enterprise Metadata Data-driven Modeling 102

IBM Big Data Hub

OCTOBER 4, 2023

It’s no longer a nice-to-have, but an integral part of a successful data strategy. Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads. All of this supports the use of AI.

Data Lake 79

Data Lake Metadata Cost-Benefit Data Warehouse 79

Ontotext

APRIL 19, 2024

We mainly talked about the company’s Metadata Studio and the types of features it has that give users the options I’ve listed above. Ikea’s content strategy principal Timi Stoop-Acala puts it bluntly: “Unconnected content is a liability.” Evaluating the model gives you the means to iteratively refine the model. “We

Metadata 52

Metadata Statistics Interactive Enterprise 52

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

Timo Elliott

JANUARY 6, 2022

Analyze your metadata. If you’ve been properly managing your metadata as part of a broader data governance policy, you can use metadata management explorers to reveal silos of dark data in your landscape. To sharpen your data strategy skills, download this outcome-driven data strategy masterclass.

IT 133

IT Metadata Data-driven Data Governance 133