Smart Data Collective

JANUARY 9, 2023

Before understanding how this particular strategy can help organizations maximize their data’s value, it’s important to have a clear understanding of AI and machine learning.

Artificial Intelligence 313

Artificial Intelligence Innovation Business Intelligence Business Intelligence 313

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. Continuous Data Quality Monitoring According to Gartner , poor data quality cost enterprises an average of $15 million per year.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

JULY 12, 2023

HR’s Decision Guide: Key Factors for Choosing Contract Data Extraction Tools Selecting the right automated contract data extraction tool is crucial for HR companies seeking to enhance their data management processes. Data Quality Rules Maintaining data integrity is paramount in HR data management.

Data Management 40

Data Management Documentation Data Quality Monitoring 40

Astera

MAY 11, 2023

This valuable resource is derived from real-world data (RWD), encompassing diverse sources like electronic health records (EHRs), claims data, patient-generated data, as well as information from mobile health apps and wearable devices.

Healthcare 40

Healthcare Artificial Intelligence Pharmaceutical Data Quality 40

Astera

MAY 12, 2023

Speaking of leveraging AI to reap benefits, are you aware of the untapped potential of incorporating AI into your data management systems? Don’t miss out on the opportunity to elevate your data management to the next level. The advancements in technology have transformed the gaming landscape beyond recognition.

Artificial Intelligence 52

Artificial Intelligence Innovation Data Quality Documentation 52

Astera

OCTOBER 10, 2023

Modern companies heavily rely on data to drive their decision-making processes, but data consistency and quality can lead to inaccurate conclusions. Gartner’s 2018 report highlights that organizations incur an average cost of $15 million annually due to poor data quality. What Is Data Standardization?

Data Quality 52

Data Quality Artificial Intelligence Monitoring Visualization 52

The Data Administration Newsletter

FEBRUARY 7, 2024

However, when it comes to data curation and data quality management, there seems to […] By now, it is clear to everyone that AI, especially generative AI, is the only topic you’re allowed to write about. It seems to have impacted every area of information technology, so, I will try my best to do my part.

Data Quality 52

Data Quality Information Technology Information Technology Artificial Intelligence 52

Astera

APRIL 2, 2023

With the rise of artificial intelligence (AI) ushering in a new era of efficiency and accuracy, we’ve seen significant growth in the financial realm. By investing in a data extraction tool that offers end-to-end data management capabilities, companies can address this problem as well as modernize their outdated data infrastructure.

Finance 52

Finance Documentation Artificial Intelligence Data Quality 52

Astera

MAY 4, 2023

This, in turn, enables businesses to automate the time-consuming task of manual data entry and processing, unlocking data for business intelligence and analytics initiatives. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

JUNE 13, 2023

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

JULY 11, 2023

How Does Automated Data Extraction Work? Automated bank statement data extraction solutions utilize advanced algorithms and artificial intelligence to extract relevant financial data from bank statements automatically.

Banking 40

Banking Artificial Intelligence Data Quality Documentation 40

Astera

MAY 25, 2023

Streamline your insurance processes and enhance efficiency with health data management solutions In today’s fast-paced industry, as a health insurance professional, it has become essential to leverage cutting-edge technology to stay ahead of the competition and streamline your operations.

Healthcare 40

Healthcare Documentation Data Quality Customer Experience 40

Astera

MAY 8, 2023

Here are some of the obstacles that organizations face when integrating unstructured data using traditional methods: Increased costs: Traditional data management methods require extensive manual labor to extract insights from unstructured data, resulting in higher business costs.

Vision 40

Vision Data Quality Big Data Healthcare 40

Astera

MAY 9, 2023

The Explosion in Data Volume and the Need for AI The global AI market today stands at $100 billion and is expected to grow 20-fold up to nearly two trillion dollars by 2030. This massive growth has a spillover effect on various areas, including data management.

Healthcare 40

Healthcare Retail Finance Data Quality 40

Astera

FEBRUARY 2, 2024

Also, it minimizes the chances of errors that can occur during manual data entry, ensuring data integrity. In addition, automated form processing allows for seamless integration with existing systems, enabling efficient data management. Businesses can customize automated form processing to suit their specific needs.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

The Data Administration Newsletter

JANUARY 17, 2024

The advent of big data has transformed the data management landscape, presenting unprecedented opportunities and formidable challenges: colossal volumes of data, diverse formats, and high velocities of data influx. To ensure the integrity and reliability of information, organizations rely on data validation.

Big Data 52

Big Data Data Management Data Quality Artificial Intelligence 52

Astera

JUNE 14, 2023

Automated Document Data Extraction Technologies Automated document data extraction pulls required information from different documents, typically leveraging technologies such as artificial intelligence (AI) and machine learning (ML).

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Dataversity

SEPTEMBER 18, 2023

The current wave of AI is creating new ways of working, and research suggests that business leaders feel optimistic about the potential for measurable productivity and customer service improvements, as well as transformations in the way that […] The post Data Governance in the Age of Generative AI appeared first on DATAVERSITY.

Data Governance 182

Data Governance Government Data Quality Artificial Intelligence 182

Astera

MAY 14, 2024

Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data Lineage vs. Data Provenance Data provenance and data lineage are the distinct and complementary perspectives of data management.

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Cybersecurity 52

Tableau

APRIL 18, 2022

The way to get there is by implementing an emerging data management design called data fabric. . What is a data fabric design? A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Metadata management.

Data Quality 99

Data Quality Government Artificial Intelligence Data Warehouse 99

Astera

MAY 6, 2024

It utilizes artificial intelligence to analyze and understand textual data. It’s important to remember that the most suitable tool is the one that best harmonizes with the users’ data, objectives, and available resources. This is where Astera , a leading end-to-end data management platform , comes into play.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Tableau

APRIL 18, 2022

The way to get there is by implementing an emerging data management design called data fabric. . What is a data fabric design? A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Metadata management.

Data Quality 97

Data Quality Government Artificial Intelligence Data Warehouse 97

Astera

MARCH 28, 2024

Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion. Both data catalog and data dictionary serve essential roles in data management. How to Build a Data Catalog? Creating a catalog involves multiple important steps.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

FEBRUARY 16, 2024

Customer data is strategic, yet most finance organizations use only a fraction of their data. Finance 360 is a comprehensive approach to data management that bypasses these challenges, giving you a complete and accurate picture of your financial performance and health.

Finance 52

Finance Banking Data Quality Artificial Intelligence 52

Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization. What Is Informatica?

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization. What Is Informatica?

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

JULY 13, 2023

Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

JANUARY 18, 2024

Get data extraction, transformation, integration, warehousing, and API and EDI management with a single platform. Talend is a data integration solution that focuses on data quality to deliver reliable data for business intelligence (BI) and analytics. Learn More What is Talend and What Does It Offer?

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

Astera

SEPTEMBER 28, 2023

Data Quality: ETL facilitates data quality management , crucial for maintaining a high level of data integrity, which, in turn, is foundational for successful analytics and data-driven decision-making. ETL pipelines ensure that the data aligns with predefined business rules and quality standards.

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Timo Elliott

JANUARY 22, 2019

And using real-time systems as a foundation, managers finally get dashboards with all the information they need to run every aspect of the business, in real time, at their fingertips. Compliance drives true data platform adoption, supported by more flexible data management.

Data Discovery 223

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 223

Astera

NOVEMBER 13, 2023

Normalization involves breaking down dimension tables into sub-dimensions, reducing data redundancy. This schema is particularly useful for data warehouses with substantial data volumes. The significance of EDWs lies in their capacity to turn raw data into actionable insights. Ready to take the next step?

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Data Pine

AUGUST 29, 2022

has both practical and intellectual knowledge of data analysis; he worked in data science at IBM for 9 years before becoming a professor. The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. The author, Anil Maheshwari, Ph.D.,

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105