Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Are data architects in demand?

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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

TDAN

JUNE 30, 2020

It’s a data-driven and digital world out there! The exponential growth of information [Big Data Statistics 2020] makes data governance a key priority for every organization. Corporate boardrooms have always taken information security and data privacy very seriously since it directly impacts the […].

Strategy 59

Strategy Statistics Data Governance Big Data 59

Cloudera

MAY 22, 2023

Ideally you are realizing these benefits using Cloudera Data Catalog. Total data standardization is a multiyear journey and likely unnecessary, but the low hanging fruit is ripe for the picking. Report Standardization Take these steps: Inventory reports, including ownership, usage statistics, and report frequency.

Statistics 72

Statistics Data-driven Reporting Dashboards 72

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

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

IBM Big Data Hub

NOVEMBER 4, 2022

Data observability capability makes data quality checks upstream possible. Data Governance. Ensuring data quality is critical for data governance initiatives.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

Alation

APRIL 18, 2023

On the contrary, data profiling today describes an automated process, where a data user can “point and click” to return key results on a given asset, like aggregate functions, top patterns, outliers, inferred data types, and more. What do you learn about data through profiling? How do other thought leaders define it?

IT 52

IT Data Quality Metadata Data Governance 52

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

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 57

Metadata Data Quality Data-driven Data Governance 57

IBM Big Data Hub

JULY 6, 2022

To help companies avoid that pitfall, IBM has recently announced the acquisition of Databand.ai, a leading provider of data observability solutions. The data observability difference . Data observability will also integrate with these other use cases for improved results where both are applied.

Metadata 57

Metadata Data Quality Snapshot Cost-Benefit 57

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

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. Organization: Columbia University Price: Students pay Columbia Engineering’s rate of tuition (US$2,362 per credit).

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

CIO Business Intelligence

AUGUST 24, 2023

Data governance In traditional application development, enterprises have to be careful that end users aren’t allowed access to data they don’t have permission to see. Protecting access to sensitive data is just one part of the data governance picture. AI is a black box.

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

TDAN

JUNE 2, 2020

As I begin this article, it strikes me that the entire world is focusing on data, the data about COVID-19. Each day, here in New York City, so many of us wait with a mix of anticipation and dread for the daily recitation of statistics at our governor’s news conference. The numbers are more encouraging […].

Statistics 52

Statistics IT Data Governance Data Strategy 52

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Top 5 Platforms that Control the Future of BI.

Business Intelligence 132

Business Intelligence Visualization Dashboards Prescriptive Analytics 132

Octopai

JULY 18, 2019

Add to that the fact that the service providers are typically scrutinized at a highly detailed level by government regulators—so much so that in some countries, the government is the sole service provider. Healthcare and Data Governance. All of the challenges described above, among others, are data problems.

Metadata 48

Metadata Management Data Governance Insurance 48

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.

Metrics 80

Metrics Data Quality Data Lake Statistics 80

Octopai

JUNE 27, 2022

Work out your organization’s list of needs, sort them in order of priority, and use that as the basis for evaluating data catalog candidates. We’re not going to lie: if you want to make your data catalog a rousing business success, you’re going to have to put in work.

Management 72

Management Metadata Visualization Data Governance 72

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. So, What Exactly are Generative AI and LLMs?

Risk 52

Risk Modeling Data Quality Data Governance 52

CIO Business Intelligence

MAY 18, 2022

When we were thinking about creating a community of excellence for AI, we have a core group that is inside our Connected Technologies called DS&A (data science & analytics). What we have found is that that has created an enormous opportunity not only to create a talent pipeline, but also to create a use case pipeline.

IoT 98

IoT Internet of Things Statistics Technology 98

Alation

FEBRUARY 12, 2021

Ultimately, building a data culture requires an organization to enable three capabilities: Data search & discovery – Employees need to be able to find relevant data just-in-time as they try to make decisions. The Three Pillars of Data Culture.

Data-driven 59

Data-driven Data Governance Software Statistics 59

Cloudera

DECEMBER 3, 2021

Tracking key metrics and statistical distributions over time and alerting humans when either of these significantly drift can ensure that systems remain performant and fair. This often requires strong data governance, management and lineage controls together with mature ML operational practices. Impact and confidence intervals.

Uncertainty 97

Uncertainty Measurement Metrics Risk 97

CIO Business Intelligence

NOVEMBER 9, 2022

Business professionals and leaders can leverage these to manipulate data so they can identify market trends and opportunities, for example. They’re not required to have any experience with analytics or background in statistics or other related disciplines. Have a data governance plan as well to validate and keep the metrics clean.

Analytics 137

Analytics Slice and Dice Metrics Sales 137

Octopai

JANUARY 25, 2021

With such sensitive information at risk, the federal government passed the Health Insurance Portability and Accountability Act (HIPAA). This initiative is enforced to set standards for data governance in healthcare and keep medical information safe. million Americans.

Insurance 52

Insurance Metadata Statistics Reporting 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

Alation

AUGUST 3, 2021

As organizations have struggled beneath a deluge of data, their data teams faced growing expectations that the business put that data to work. Data teams were inspired by the DevOps methodology to create DataOps. DataOps seeks to quickly find the right data for the right application.

Testing 59

Testing Manufacturing Software Statistics 59

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

IBM Big Data Hub

APRIL 6, 2023

This new regulation applies to any “automated employment tool;” so, any computational process derived from machine learning, statistical modeling, data analytics, or artificial intelligence, including homegrown and third-party programs.

Cost-Benefit 57

Cost-Benefit Risk Statistics Machine Learning 57

Cloudera

AUGUST 10, 2021

SDX enhancements for improved platform and data governance, including the following notable features: . Because Ranger is passing the filtering down to Impala’s query engine itself, we can even take advantage of performance enhancements such as column statistics, dictionary filtering and partition pruning.

Metadata 96

Metadata Sales Statistics Management 96

datapine

SEPTEMBER 29, 2022

This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle. By following these best practices, you should be able to leave your information ready to be analyzed.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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. See below. .

Data Lake 78

Data Lake Data Architecture Data-driven Data Warehouse 78

CIO Business Intelligence

JANUARY 22, 2024

An enormous amount of data is required to power generative AI applications and—unlike static algorithmic models and earlier versions of AI—these models require real-time data from numerous business functions to unlock their full value. To learn more, visit us here.

Data Governance 52

Data Governance Enterprise Statistics Modeling 52

DataKitchen

DECEMBER 7, 2021

Disrupting Data Governance: A Call to Action, by Laura B. If your data nerd is all about bucking the status quo, Disrupting Data Governance is the book for them. ???. The old adage “if ain’t broke don’t fix it” doesn’t apply to data governance. Author Laura B.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Sisense

SEPTEMBER 12, 2019

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . Every company has been generating data for a while now. But what is a BI strategy in today’s world?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81