Astera

MAY 20, 2024

Who created this data? This information helps ensure data quality, transparency, and accountability. This knowledge is particularly valuable in highly regulated industries, such as healthcare or banking, where data trust is essential for compliance. Why is Data Provenance Important?

Data Governance 52

Data Governance Healthcare Government Data Quality 52

Astera

NOVEMBER 1, 2023

For example, Basel III requires banks to establish robust data governance frameworks for risk management, including data lineage, data validation, and data integrity controls. This structure prevents data quality issues, enhances decision-making, and enables compliant operations.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

FEBRUARY 2, 2024

Form processing can extract relevant information like policy details, incident descriptions, and supporting documentation, streamlining the claims processing workflow. Bank Loan Applications: Banks and financial institutions receive loan applications with standardized forms.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Astera

FEBRUARY 19, 2024

As businesses continue to deal with an ever-increasing volume of forms, invoices, and documents, the need for accuracy, speed, and adaptability in data extraction has never been more pronounced. OCR form processing specifically refers to the application of OCR technology to extract data from forms.

Supply Chain 40

Supply Chain Documentation Banking Healthcare 40

Astera

FEBRUARY 9, 2024

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc.

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Astera

MAY 6, 2024

Data mining tools help organizations solve problems, predict trends, mitigate risks, reduce costs, and discover new opportunities. Documentation and Training : Adequate learning materials and troubleshooting guides are essential for mastering the tool and resolving potential issues. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

DECEMBER 22, 2022

It is beneficial to have a data transformation tool with a wide array of transformation options to manipulate data in the best possible way. Let’s look at a transformation example: suppose a bank acquires an insurance firm. Data from a Fixed Length Source being filtered to display records from the USA. Routing Data.

Data Warehouse 52

Data Warehouse Banking Data Quality Documentation 52

The BAWorld

MAY 14, 2024

Key skills for data analyst: Python/R language SQL Excel (pivoting, formulas etc) Machine Learning Statistics Data Mining PowerBI / Tableau / QlikView Problem-Solving Critical Thinking Communication Domain knowledge like finance, e-commerce, banking, healthcare, Insurance etc 6.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

Data Pine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Embedded Analytics 76

Embedded Analytics Business Intelligence Business Intelligence Visualization 76

Analysts Corner

FEBRUARY 16, 2025

Any documentation you have might be read not only by humans but also by machines; the same goes for data, software, and business processes. Prioritizing lineage, provenance, monitoring, quality assurance. Treat everything as data : code, business rules, process documentation.

Innovation 130

Innovation Digital Enterprise Architecture Artificial Intelligence 130

Astera

DECEMBER 6, 2024

To do so, it uses a combination of artificial intelligence (AI)-powered tools such as intelligent document processing (IDP), robotic process automation (RPA), and workflow orchestration. These invoices can be in the form of scanned documents, PDFs, or other formats. Free yourself from manual AP bottlenecks and focus on what matters.

Banking 52

Banking Documentation Artificial Intelligence Digital 52

Analysts Corner

JANUARY 6, 2025

For example, professions related to the training and maintenance of algorithms, data quality control, cybersecurity, AI explainability and human-machine interaction. On one hand, increasing adoption of AI will inevitably lead to the creation of some new jobs.

Government 130

Government Digital Artificial Intelligence Healthcare 130