Cloudera

DECEMBER 3, 2021

The most effective systems are ones that intelligently bring together both human judgement and AI, these take into account model drift, confidence intervals and impact, as well as level of governance. This often requires strong data governance, management and lineage controls together with mature ML operational practices.

Uncertainty 98

Uncertainty Measurement Metrics Risk 98

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Smarten

SEPTEMBER 15, 2017

Don’t become a failure statistic! Requirements Planning for Data Analytics. What kind of statistical data, report capability and security will you need? Curated Data Provides Answers, NOT More Questions. Data Governance and Self-Serve Analytics Go Hand in Hand. How will you manage growth?

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

MARCH 25, 2019

Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Conduct statistical analysis.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

AWS Big Data

JUNE 28, 2023

The transactional data from this website is loaded into an Aurora MySQL 3.03.1 (or The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons. or higher version) database. source) and Amazon Redshift (destination).

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

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).

Optimization 90

Optimization B2B Data Quality Sales 90

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. Ideally the decision of how to protect data should be treated like any other data governance policy.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

IBM Big Data Hub

OCTOBER 16, 2023

Establish data governance frameworks, policies, procedures and tools by organizations to bring in required control and audit. Ensure services are available with key process indicators and metrics across regions, multi-zone and multi-region to ensure business continuity.

Cost-Benefit 74

Cost-Benefit Data Governance Risk Data-driven 74

AWS Big Data

JUNE 9, 2023

Data in customers’ data lakes is used to fulfil a multitude of use cases, from real-time fraud detection for financial services companies, inventory and real-time marketing campaigns for retailers, or flight and hotel room availability for the hospitality industry. Frequent compaction can be used to optimize read performance.

Data Lake 114

Data Lake Metadata Optimization Statistics 114

Alation

MAY 20, 2021

Out-of-the-box visualizations help data leaders understand adoption progress and activity. Admins can now see usage statistics in the Analytics dashboard. . Second, governance professionals looking to drive greater compliance with internal and external policy requirements will like these updates. Talo: Why is this important?

Management 52

Management Visualization Dashboards Data-driven 52

IBM Big Data Hub

JULY 28, 2022

Thanks to the use of the common jobs framework of Cloud Pak for Data, users can now schedule runs, have insight into all the current and past runs, get information on key statistics and be notified about the progress in a way which is consistent with other platform services. Support for BI reporting. Public API.

Metadata 57

Metadata Data Quality Machine Learning Statistics 57

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.

Metadata 52

Metadata IT Metrics Data-driven 52

Andrew White

JANUARY 9, 2022

We found anecdotal data that suggested things such as a) CDO’s with a business, more than a technical, background tend to be more effective or successful, and b) CDOs most often came from a business background, and c) those that were successful had a good chance at becoming CEO or CEO or some other CXO (but not really CIO).

Analytics 64

Analytics Measurement Modeling Data-driven 64

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.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

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.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

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.

Dashboards 52

Dashboards Visualization Metrics Interactive 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

Alation

MAY 2, 2023

Restaurants can analyze data on customer preferences, dining habits, and feedback to improve menu offerings and personalize customer experiences. Data analytics can also help businesses track and measure key performance metrics, such as revenue per available room (RevPAR), customer satisfaction, and loyalty.

Data Analytics 52

Data Analytics Analytics ROI Data Governance 52

Alation

MAY 2, 2023

Restaurants can analyze data on customer preferences, dining habits, and feedback to improve menu offerings and personalize customer experiences. Data analytics can also help businesses track and measure key performance metrics, such as revenue per available room (RevPAR), customer satisfaction, and loyalty.

Data Analytics 40

Data Analytics Analytics ROI Data Governance 40

Andrew White

JANUARY 11, 2021

But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. New data suggests that pinpoint or targeted efforts are likely to be more effective. We do have good examples and bad examples.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52