Dataversity

JUNE 14, 2022

With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […]. The post Data Governance at the Edge of the Cloud appeared first on DATAVERSITY.

Data Governance 246

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Dataversity

MAY 1, 2023

Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge of these three efforts.

Data Management 244

Data Management Documentation Data Modelling Data Quality 244

Smart Data Collective

SEPTEMBER 22, 2021

These platforms essentially prevent the need to regularly transfer files by storing them in a shared repository featuring access and privacy controls and ensuring users always have the most recent iteration of the document when collaborating on a document.

Pharmaceutical 305

Pharmaceutical Healthcare Documentation Retail 305

Astera

MARCH 11, 2024

Webinar AI-Powered Document Processing with Astera Thursday, March 28, 2024, at 10:00 AM PT | 12:00 PM CT | 1:00 PM ET Are you ready to end the data chaos? 80% of these documents contain unstructured data. 80% of these documents contain unstructured data.

Documentation 59

Documentation Data Quality Product Management Product Management 59

Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Smart Data Collective

APRIL 20, 2022

Data entry errors can be reduced by minimizing the number of unnecessary records in the system. Reducing data redundancy is made easier by reviewing and modifying forms, data, and documents regularly. Errors will be less likely to be entered into the system if redundant data is removed from it.

Documentation 350

Documentation Data Quality Data Security Data Management 350

Astera

AUGUST 20, 2024

Webinar Automating Financial Document Processing with AI-Powered Data Extraction Tuesday, 24th September 2024 , at 11:00 AM PT | 1:00 PM CT | 2:00 PM ET Operational efficiency is the key to success in finance. Streamline your document processing with robust ETL and workflow automation. Secure your spot today!

Documentation 52

Documentation Vision Finance Data Quality 52

Astera

AUGUST 20, 2024

Webinar Automating Healthcare Document Processing with AI-Powered Data Extraction Tuesday, 17th September 2024 , at 11:00 AM PT | 1:00 PM CT | 2:00 PM ET Operational efficiency is the key to success in healthcare. One particularly challenging area for healthcare providers is managing patient report documentation. Experts Mike A.

Healthcare 52

Healthcare Documentation Data Quality 52

Astera

APRIL 2, 2023

AI-based document processing is one of the most important areas that’s becoming increasingly important for finance companies looking to streamline their document management processes and stay ahead of the competition. Learn how automated data extraction is revolutionizing the finance industry.

Finance 52

Finance Documentation Artificial Intelligence Data Quality 52

CMW Lab Blog

NOVEMBER 9, 2023

In today’s digital age, the need for efficient document management is paramount. Businesses and organizations generate vast amounts of documents, from invoices and contracts to reports and emails. Managing these documents manually can be time-consuming, error-prone, and costly. What is a Document Management System (DMS)?

Documentation 52

Documentation Digital Artificial Intelligence Monitoring 52

Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Analysts Corner

OCTOBER 31, 2023

Commercial : Customer Relationship Management (CRM) systems that integrate customer data and preferences to identify greater business opportunities in personalized campaigns and actions. Management : monitoring transactional data from business operations to generate indicators at various levels.

Artificial Intelligence 246

Artificial Intelligence Monitoring Healthcare Banking 246

Dataversity

MAY 29, 2024

billion documents each day on the platform and in the next two years, that is expected to grow by 4.4 times, according to a […] The post Data Logistics Mandates: Devising a Plan to Ensure Long-Term Data Access appeared first on DATAVERSITY. One million companies globally use 365 and create 1.6

Logistics 162

Logistics Planning Documentation Digital Transformation 162

BA Squared

SEPTEMBER 25, 2020

We create data debt the same way and then have “bad data” or poor data quality coming in from multiple disparate processes, then we try to use AI, data analytics, and machine learning and get burned because the data inputs are not the quality needed to meet the goal of such automation.

Documentation 239

Documentation Innovation Business Analysis Business Analysis 239

Timo Elliott

DECEMBER 14, 2023

Large language models are good at figuring out what we meant, and the principle applies to many real-world data problems. For example, machine learning is already used to extract information from documents such as invoices: the date, amount, supplier ID etc.

Documentation 162

Documentation Data Quality 162

Smart Data Collective

APRIL 29, 2020

Dataform enables the creation of a central repository for defining data throughout an organisation, as well as discovering datasets and documenting data in a catalogue. The platform allows data quality tests to be written with alerts, and schedules that ensure data is kept current. Microsoft Azure.

Data Management 220

Data Management Data Warehouse Master Data Management Digital Transformation 220

Smart Data Collective

AUGUST 26, 2021

Bookkeeping: The process of documenting the financial transactions in a business or organization. You can use deep learning technology to deal with the following issues: Deep learning technology is ideal for improving data quality in finance and accounting. How Does Deep Learning Help with Accounting?

Finance 250

Finance Banking Data Quality Documentation 250

Analysts Corner

AUGUST 13, 2023

Understand Data Structure: Data profiling helps in understanding the structure and format of the data, such as the number of columns, data types, and data format. Statistical Analysis: This step involves conducting statistical analysis on the data to identify patterns, trends, relationships, and anomalies.

Data Quality 130

Data Quality Data Warehouse Data Discovery Innovation 130

Analysts Corner

FEBRUARY 5, 2023

Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. Food for thought and the way ahead! What do you think?

Big Data 130

Big Data IBM Maintenance IBM cost Data Quality 130

Astera

MAY 4, 2023

Given that transparency plays an important role in document processing, it is imperative for businesses to implement measures that ensure transparency. from 2022 to 2027. Transparency: The Key Ingredient for Successful Automated Document Processing The global intelligent document processing market revenue stood at $1.1

Documentation 40

Documentation Artificial Intelligence Data Security Monitoring 40

Dataversity

SEPTEMBER 24, 2024

Generative AI (GenAI), specifically as it pertains to the public availability of large language models (LLMs), is a relatively new business tool, so it’s understandable that some might be skeptical of a technology that can generate professional documents or organize data instantly across multiple repositories.

Documentation 130

Documentation Data Quality Data Governance Government 130

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Dataversity

DECEMBER 21, 2020

In the last blog, we defined how to determine the target audience for a Data Governance policy. In this blog, we will begin to define the actual Data Governance policy. There are at least two primary documents that govern most working groups or committees. The first is […].

Data Governance 130

Data Governance Government Documentation Data Quality 130

Dataversity

JANUARY 4, 2023

This document describes the rights that should be protected when implementing automated systems using AI technology. The Office of Science and Technology Policy (OSTP) of the White House has issued the blueprint of the AI Bill of Rights. The paper lists the following five principles that define these rights: 1.

Documentation 130

Documentation Data Governance Artificial Intelligence Data Quality 130

Astera

JUNE 28, 2023

Within the intricate fabric of governance, where legal documents shape the very core of decision-making, a transformative solution has emerged: automated legal document extraction. In a world where governing bodies can extract vital data from contracts, regulations, and court rulings in mere seconds, the possibilities are boundless.

Documentation 40

Documentation Government Data Quality Data Security 40

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

APRIL 23, 2024

To do so, they need data quality metrics relevant to their specific needs. Organizations use data quality metrics, also called data quality measurement metrics, to assess the different aspects, or dimensions, of data quality within a data system and measure the data quality against predefined standards and requirements.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

The Data Administration Newsletter

AUGUST 3, 2021

Database standards are common practices and procedures that are documented and […]. Rigidly adhering to a standard, any standard, without being reasonable and using your ability to think through changing situations and circumstances is itself a bad standard.

Documentation 116

Documentation Data Modelling Data Quality Data Architecture 116

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Juice Analytics

APRIL 6, 2021

Habit 2: Create a shared vocabulary for your data What is an “active user”? These are terms that need to be carefully defined and documented so we can move on to how we are going to improve them. Val Logan of The Data Lodge is one of the premier thinkers on how organizations can build shared skills in using data.

Data Quality 132

Data Quality Data Visualization Documentation Project Management 132

Analysts Corner

NOVEMBER 24, 2022

Business analysts’ skills comprise both soft skills (facilitation skills, interpersonal, and consultative skills) as well as hard skills (for example, documentation skills, process modeling, requirements engineering, and stakeholder analysis).

Data Governance 130

Data Governance Business Analysis Business Analysis Government 130

Cprime

NOVEMBER 22, 2021

The choices you make when configuring your new cloud instances of Jira, Confluence, and other tools will substantially impact the overall security of your data. But, it’s much more than just documentation. Ensure data integrity and improve data quality. Atlassian Cloud Governance.

Government 97

Government Data Security Documentation Monitoring 97

Astera

DECEMBER 3, 2024

One popular use case is AI to extract data from PDF files. PDF, short for portable document format, is a ubiquitous format used for reports, invoices, statements, and many other types of documents. Despite their ubiquity in document storage and sharing, PDFs pose certain challenges when it comes to data extraction.

Documentation 52

Documentation Data Quality Business Intelligence Business Intelligence 52

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Now, data quality matters.

Data Governance 101

Data Governance Government Data Quality Change Management 101

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Now, data quality matters.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Astera

OCTOBER 29, 2024

Information extraction is the process of extracting requisite structured data from semi-structured or unstructured text-based data sources, such as PDF documents, web content, AI/large language model (LLM) generated content, etc. What is information extraction? How does NLP information extraction work?

Documentation 52

Documentation Healthcare Artificial Intelligence Financial Analysis 52