DataKitchen

OCTOBER 2, 2023

Whether the Data Ingestion Team struggles with fragmented database ownership and volatile data environments or the End-to-End Data Product Team grapples with real-time data observability issues, the article provides actionable recommendations. ’ What’s a Data Journey?

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Data Quality Testing Uncertainty Data Enablement 100

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This foundational approach is vital for reliable decision-making based on trustworthy information derived from BI tools.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

NOVEMBER 21, 2023

The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt. Citizen data science reduces shadow IT when CIOs promote proactive data governance and establish data integration, cataloging, and quality practices.

IT 137

IT Risk Cost-Benefit Risk Management 137

Cloudera

MAY 9, 2019

Even if they complete it, they lack the ability to identify and correlate the success metrics with key business goals. The report created a readiness model with five dimensions and various metrics under each dimension. Each metric is associated with one or more questions. These metrics can help you with measuring those.

IoT 56

IoT Modeling Metrics Measurement 56

FineReport

APRIL 9, 2024

Comparing Leading BI Tools Key Features and Capabilities When comparing leading business intelligence software tools and data analysis platforms , it is essential to evaluate a range of key features and capabilities that contribute to their effectiveness in enabling informed decision-making and data analysis.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

Smarten

AUGUST 17, 2018

It is always wise to establish metrics and to focus on major changes within the organization to be sure you can measure success and capitalize on new tools in as many ways as possible. Look to the Data: Explore user adoption, data-driven decisions and the affects of integrated, uniform data access, and data governance.

Analytics 40

Analytics Measurement Data-driven Optimization 40

Alation

MAY 24, 2022

Yet data quality information is often siloed from those who need it most. Business users must exit their workflows to verify data integrity – wasting time and resources and diminishing trust. Curious to learn more about the Open Data Quality Initiative? Open Data Quality Initiative and Enhanced Data Governance.

Data Quality 52

Data Quality Metadata Reporting Metrics 52

Jim Harris

DECEMBER 24, 2015

This blog post is an hommage to not only the film, but also to the critically important role into which data quality is cast within all of your enterprise information initiatives, including business intelligence, master data management, and data governance. Data Silos. You, Data-Dude, takin’ on the defects.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

DataKitchen

NOVEMBER 18, 2021

In our survey, data engineers cited the following as causes of burnout: The relentless flow of errors. Restrictive data governance Policies. For see the entire results of the data engineering survey, please visit “ 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps.”.

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Testing Data Governance Measurement Software 246

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. Process Analytics. Meta-Orchestration .

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CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

Consulting 71

Consulting B2B Cost-Benefit Sales 71

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. It’s the foundational architecture and data integration capability for high-value data products. Data and cloud strategy must align.

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Data Architecture Data Integration IoT Strategy 110

IBM Big Data Hub

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Analytics 65

Analytics Optimization Data-driven Metrics 65

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders. This can be run manually or scheduled via Amazon Eventbridge (Optional).

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Optimization B2B Data Quality Sales 91

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. 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. Organizations using C360 achieved 43.9% faster time to market, and 19.1%

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Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense.

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Cost-Benefit Metadata Data Governance Modeling 77

Alation

AUGUST 5, 2021

The abundance of data systems has also made the monitoring of complicated tasks even more challenging. Data governance practices Data governance is a data management system that adheres to an internal set of standards and policies for the collection, storage, and sharing of information.

Data Quality 52

Data Quality IT Data Governance Sales 52

AWS Big Data

JULY 19, 2023

The data (business process) needs to be integrated across various departments, in this case, marketing can access the sales data. Identifying the correct business process is critical—getting this step wrong can impact the entire data mart (it can cause the grain to be duplicated and incorrect metrics on the final reports).

Modeling 70

Modeling Sales Data Warehouse Snapshot 70

Alation

JANUARY 25, 2022

In a practical sense, a modern data catalog should capture a broad array of metadata that also serves a broader array of consumers. In concrete terms, that includes metadata for a broad array of asset classes, such as BI reports, business metrics, business terms, domains, functional business processes, and more. Simply put?

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Metadata IT Metrics Data-driven 52

Birst BI

FEBRUARY 13, 2018

Decentralized teams and individual users can augment the corporate data model with their own local data, without compromising data governance. Consistency comes from a unified semantic layer, which maintains common definitions and key metrics, no matter where users sit. Mobile reporting, visualization, analysis.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

AWS Big Data

MAY 19, 2023

In these scenarios, customers looking for a serverless data integration offering use AWS Glue as a core component for processing and cataloging data. A common use case with this data would be to gather usage metrics on principals acting on your account’s resources for auditing and regulatory needs.

Machine Learning 83

Machine Learning Metrics Big Data Management 83

Andrew White

JANUARY 9, 2022

Every initiative has an element of governance and decision rights (as an example) and so our operating model include governance and change mgt as part of its planning. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. While privacy and security are tight to each other, there are other ways in which data can be misused and you need to make sure you are carefully considering this when building your strategies.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

FineReport

APRIL 3, 2024

Key Features of BI Dashboards: Customizable interface Interactivity Real-time data accessibility Web browser compatibility Predefined templates Collaborative sharing capabilities BI Dashboards vs. BI Reports: While both dashboards and reports are pivotal in business intelligence, they serve distinct purposes.

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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.

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Data Governance Metadata Data-driven Visualization 97

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.

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Data Governance Analytics Cost-Benefit Data-driven 52

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. What is missing in data lineage?

Testing 130

Testing Data Governance Data Quality Data-driven 130

Jet Global

OCTOBER 26, 2023

Low data quality causes not only costly errors and compliance issues, it also reduces stakeholder confidence in the reported information. Both JDE and EBS are highly complex and may involve multiple modules that store data in different formats. None of which is good for your team.

Data Quality 52

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