AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Initially, the data inventories of different services were siloed within isolated environments, making data discovery and sharing across services manual and time-consuming for all teams involved.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

erwin

APRIL 29, 2020

For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. The CEO also makes decisions based on performance and growth statistics. Also, different organizational stakeholders (customers, employees and auditors) need to be able to understand and trust reported data.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

erwin

JULY 9, 2021

At the root of data intelligence is data governance , which helps ensure the right level of data access, availability and usage based on a defined set of data policies and principles. The Importance of Data Governance. Organizations recognize the importance of effective data governance.

Data Governance 59

Data Governance Business Driver Statistics Strategy 59

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 56

Data Quality Metadata Data Governance Data-driven 56

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

CIO Business Intelligence

SEPTEMBER 30, 2024

Like others, Bell’s data scientists face challenges such as data cleanliness and interoperability, and Mathematica will at times partner with other organizations to overcome those challenges.

Data Quality 116

Data Quality Experimentation Insurance Statistics 116

IBM Big Data Hub

AUGUST 23, 2023

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.

Data Governance 52

Data Governance Enterprise Modeling Risk 52

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. We realized that your use cases need more flexibility in data governance.

Data Lake 104

Data Lake Metadata Data Governance Statistics 104

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.

Optimization 95

Optimization B2B Data Quality Sales 95

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

AWS Big Data

JULY 29, 2024

This ensures that each change is tracked and reversible, enhancing data governance and auditability. History and versioning : Iceberg’s versioning feature captures every change in table metadata as immutable snapshots, facilitating data integrity, historical views, and rollbacks.

Metadata 118

Metadata Snapshot Data Lake Metrics 118

Cloudera

DECEMBER 1, 2022

Data observability provides insight into the condition and evolution of the data resources from source through the delivery of the data products. Barr Moses of Monte Carlo presents it as a combination of data flow, data quality, data governance, and data lineage.

Data Quality 84

Data Quality Metrics Data Lake Statistics 84

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. They know how to assess data quality and understand data security, including row-level security and data sensitivity.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

Jen Stirrup

NOVEMBER 15, 2022

The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. Systems thinking helps the organization frame the problems in a way that provides actionable insights by considering the overall design, not just the data on its own.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. How do you keep pace with growing data volumes and increased demand from data consumers and deliver real-time data governance for trusted outcomes? Improve data discovery.

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

IBM Big Data Hub

JULY 6, 2022

Businesses of all sizes, in all industries are facing a data quality problem. 73% of business executives are unhappy with data quality and 61% of organizations are unable to harness data to create a sustained competitive advantage 1. The data observability difference .

Metadata 56

Metadata Data Quality Snapshot Cost-Benefit 56

IBM Big Data Hub

JANUARY 9, 2024

High variance in a model may indicate the model works with training data but be inadequate for real-world industry use cases. Limited data scope and non-representative answers: When data sources are restrictive, homogeneous or contain mistaken duplicates, statistical errors like sampling bias can skew all results.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. All Machine Learning uses “algorithms,” many of which are no different from those used by statisticians and data scientists.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Cloudera

SEPTEMBER 15, 2022

In June 2022, Barr Moses of Monte Carlo expanded on her initial article defining data observability. What started as a concept of monitoring the DataOps process has now evolved into visibility into a combination of data flow, data quality, data governance, and data lineage.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively.

Metadata 56

Metadata Machine Learning Data Quality Statistics 56

Smarten

MARCH 7, 2018

Business users with average technical skills can capitalize on integrated statistical algorithms like binning, clustering, and regression for noise reduction, and trend and pattern identification, and do it all without assistance. And, if your organization is concerned about data governance, there is no reason to worry.

Statistics 40

Statistics Data Quality Data Governance Testing 40

Peter James Thomas

AUGUST 2, 2019

Master Data – additional definition (contributor: Scott Taylor ). Reference Data (contributor: George Firican ). Statistics. Management Information (MI). Optimisation. Robotic Process Automation. Self-service (BI or Analytics).

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Smarten

SEPTEMBER 6, 2019

SSDP balances flexibility and agility with data governance so business users have access to the right data at the right time, and the IT team can maintain crucial security and data privacy controls and standards, as well as data quality. Self-Serve Data Prep in Action.

Analytics 53

Analytics IT Business Intelligence Testing 53

Ontotext

SEPTEMBER 1, 2023

LLMs in particular have remarkable capabilities to comprehend and generate human-like text by learning intricate patterns from vast volumes of training data; however, under the hood, they are just statistical approximations. For example, if input training data is of bad quality, the results from AI algorithms will be substandard too.

Risk 52

Risk Modeling Data Quality Data Governance 52

Smarten

AUGUST 9, 2017

Users can perform advanced analytics in an easy-to-use, drag and drop interface without knowledge of statistical analysis or algorithms. The ideal solution should balance agility with data governance to provide data quality and clear watermarks to identify the source of data.

Analytics 40

Analytics IT Statistics ROI 40

TDAN

JANUARY 3, 2024

Edwards Deming, the father of statistical quality control, said: “If you can’t describe what you are doing as a process, you don’t know what you’re doing.” When looking at the world of IT and applied to the dichotomy of software and data, Deming’s quote applies to the software part of that pair.

Statistics 52

Statistics Software Data Quality IT 52

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

Ontotext

MAY 9, 2023

Having interoperable PHKGs allows to extract “just in time”, and with patient’s consent, the needed data to build so-called “real world data” (RWD) that can be used in statistical models or Artificial Intelligence (AI) algorithms.

Technology 52

Technology Cost-Benefit Statistics Publishing 52

TDAN

APRIL 14, 2020

To paraphrase a classic movie, Network, “I am as mad as hell and I am not going to take this anymore!” I am wondering if you are too. The news seems to be discouraging, or at least that’s what the cable news programs want you to believe. And when it comes down to it, there […].

IT 71

IT Data Quality Data Governance Statistics 71

Alation

JANUARY 25, 2022

This is a key component of active data governance. These capabilities are also key for a robust data fabric. Another key nuance of a data fabric is that it captures social metadata. Social metadata captures the associations that people create with the data they produce and consume. The Power of Social Metadata.

Metadata 52

Metadata IT Data-driven Metrics 52

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

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 Data-driven Modeling 64

CIO Business Intelligence

APRIL 9, 2025

If we dig deeper, we find that two factors are really at work: Causal data versus correlated data Data maturity as it relates to business outcomes. One of the most fundamental tenets of statistical methods in the last century has focused on correlation to determine causation.

Enterprise 102

Enterprise Analytics Experimentation Machine Learning 102

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ).

Analytics 45

Analytics Testing Data Strategy Data Integration 45

O'Reilly on Data

JULY 28, 2020

Acquiring data is often difficult, especially in regulated industries. Once relevant data has been obtained, understanding what is valuable and what is simply noise requires statistical and scientific rigor. Data Quality and Standardization. There are many excellent resources on data quality and data governance.

Marketing 364

Marketing Experimentation Metrics Testing 364

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