Smart Data Collective

JULY 15, 2021

It helps you locate and discover data that fit your search criteria. With data catalogs, you won’t have to waste time looking for information you think you have. What Does a Data Catalog Do? This means that they can be ideal for data cleansing and maintenance. What Does a Data Catalog Consist Of?

Metadata 126

Metadata IT Data-driven Data Quality 126

FineReport

APRIL 26, 2023

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Top 10 Big Data Tools 1. The most distinct is its reporting capabilities.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

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

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. The problem usually starts by relying on manual integration methods for data preparation and mapping.

Data Governance 40

Data Governance Risk Metadata Management 40

Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. Data quality issues.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Andrew White

NOVEMBER 14, 2022

Data and analytics (or data, or information) governance is a shambles for many organizations, and a success for very few. See Data and Analytics Governance as a Business Capability: A Gartner Trend Insight Report. If not, a data catalog won’t be needed for at least 9 months. Do What I Do, Not What I Say.

Data Integration 52

Data Integration Technology Data Governance Analytics 52

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Ontotext

MARCH 8, 2023

However, this information is typically stored in disparate locations, often hidden within departmental documents or applications. Which financial institutions are behind on their risk reporting and filings this year? Which financial institutions have filed similar risk compliance issues?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

FEBRUARY 20, 2023

To earn this cert, candidates should know how to maintain and modify Sales Cloud and Service Cloud applications; manage users, data, and security; and construct dashboards, reports, and workflows.

Consulting 83

Consulting B2B Cost-Benefit Sales 83

erwin

FEBRUARY 19, 2021

It involves establishing policies and processes to ensure information can be integrated, accessed, shared, linked, analyzed and maintained across an organization. Better data quality. It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

erwin

FEBRUARY 4, 2021

So what’s holding organizations back from fully using their data to make better, smarter business decisions? Data Governance Bottlenecks. 1 bottleneck, according to 62 percent of respondents, was documenting complete data lineage. Overcoming Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. How to Automate Data Management. Cross-platform support of scripting languages and data movement technologies.

Management 144

Management Data Governance Cost-Benefit Metadata 144

erwin

MAY 27, 2020

They should automatically generate data models , providing a simple, graphical display to visualize a wide range of enterprise data sources based on a common repository of standard data assets through a single interface. Enable user configuration and point-and-click report interfaces.

Modeling 98

Modeling Metadata Data Governance Visualization 98

IBM Big Data Hub

OCTOBER 12, 2023

So, the greater the visibility and control an organization has over its AI models now, the better prepared it will be for whatever AI and data regulations are coming around the corner. Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model.

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Systematize governance. Create core feedback mechanisms.

Insurance 85

Insurance Risk Data-driven Finance 85

AWS Big Data

MARCH 3, 2023

Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights. Each of these tools has its own reporting capabilities that make it difficult to combine the data for integrated and actionable business insights. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. We have a lot of data literacy material published and we annually update our must-have roles work.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Ontotext

JULY 29, 2021

17 years later, in the third edition of The Semantic Web for the Working Ontologist , authors Dean Allemang, Hedler and Gandon covered these same perspectives with one distilled explanation: The Semantic Web faces the problem of distributed data head-on. What Does The Semantic Web Already Do for Us?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

datapine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Find out what is working, as you don’t want to totally scrap an already essential report or process.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

NOVEMBER 7, 2023

But what exactly is involved in breaking down data silos? Centralized reporting boosts data value For more than a decade, pediatric health system Phoenix Children’s has operated a data warehouse containing more than 120 separate data systems, providing the ability to connect data from disparate systems.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

erwin

MAY 17, 2021

erwin by Quest just released the “2021 State of Data Governance and Empowerment” report. Today, data needs to fuel rapid decisions that make an organization more effective, customer-centric and competitive. Additionally, 85% monitor their databases and other data systems as part of their data governance programs.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

erwin

JUNE 17, 2021

erwin by Quest just released the “ 2021 State of Data Governance and Empowerment” report. Today, data needs to fuel rapid decisions that make an organization more effective, customer-centric and competitive. Additionally, 85% monitor their databases and other data systems as part of their data governance programs.

Data Governance 59

Data Governance Data Quality Snapshot Reporting 59

AWS Big Data

APRIL 25, 2023

Thanks to AWS pay-as-you-go pricing, with more than double the number of users we had on our previous main data visualization solution, our cost with QuickSight is about 10 times lower. Robust documentation – The material provided by AWS proved to be helpful, allowing our team to put the project into production.

Visualization 52

Visualization IT Data-driven Reporting 52

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130

Testing Data Governance Data Quality Data-driven 130

O'Reilly on Data

DECEMBER 19, 2018

Given that the results produced by any model will reflect the data used to create the model, how do you ensure your data collection process is fair, representative, and unbiased? This isn’t surprising; if you’re collecting data from several weather stations and one of them malfunctions, you would expect to see anomalous data.

Machine Learning 262

Machine Learning Software Metadata Testing 262

Jet Global

MARCH 4, 2024

This lack of integration makes it difficult to track progress, measure performance, and identify potential issues. Data governance and compliance become a constant juggling act. Here’s how it empowers you: Clean and Validated Data : Easy Workflow enforces data quality through automated validation rules.

Management 52

Management Data Governance Reporting Software 52

Jet Global

OCTOBER 4, 2023

Finance teams are under pressure to slash costs while playing a key role in data strategy, yet they are still bogged down by manual tasks, overreliance on IT, and low visibility on company data. This expansion of responsibilities is exacerbating the well-documented trend of finance team burnout, leading to undesirable turnover.

Finance 52

Finance Reporting Cost-Benefit Management 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. ETL helps collect, optimize, and store data for better reporting and real-time analysis.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

FEBRUARY 23, 2024

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Through effective workflow, data quality, and governance tools, a PIM ensures that disparate content is transformed into a company-wide strategic asset.

Management 52

Management Sales Publishing Data Quality 52

Jet Global

MARCH 14, 2024

Jet streamlines many aspects of data administration, greatly improving data solutions built on Microsoft Fabric. It enhances analytics capabilities, streamlines migration, and enhances data integration. Through Jet’s integration with Fabric, your organization can better handle, process, and use your data.

Analytics 52

Analytics Management Reporting Enterprise 52

Jet Global

MAY 16, 2022

This meant missed deadlines, time spent on menial tasks and the headache of versioning which led to the loss of the integrity of the data. With CXO , transforming your lacklustre EPM reporting into dynamic c-level insights, you’ll be able to add the same efficiency and automation to your close process. Access Resource.

Finance 52

Finance Reporting Management Software 52