Argon Digital

APRIL 6, 2023

Top Technology Challenges Faced by Fortune 1000 Businesses Cybersecurity | As businesses continue to digitize their operations, they become more susceptible to cyber-attacks. Therefore, cybersecurity is a top technology challenge for many Fortune 1000 businesses.

Cybersecurity 52

Cybersecurity Digital Transformation Digital Data Quality 52

Astera

JANUARY 23, 2023

Healthcare Data Management Challenges Consolidating data from disparate sources Healthcare data comes from various sources, including EHRs, EMRs, and unstructured documents. This data must be accurate, complete, formatted correctly, and stored in a centralized data repository for consumption.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

MAY 14, 2024

What is Data Provenance? Data provenance is a method of creating a documented trail that accounts for data’s origin, creation, movement, and dissemination. It involves storing the ownership and process history of data objects to answer questions like, “When was data created?”, “Who created the data?”

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Cybersecurity 52

Astera

JANUARY 2, 2024

Securing Data: Protecting data from unauthorized access or loss is a critical aspect of data management which involves implementing security measures such as encryption, access controls, and regular audits. Organizations must also establish policies and procedures to ensure data quality and compliance.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

DECEMBER 16, 2022

Similarly, a tech company can extract unstructured data from PDF documents, including purchase orders and feedback forms, to derive meaningful insights about procurement and sales departments. Challenge#5: Maintaining data quality. Ideally, a solution should have real-time data prep functionality to ensure data quality.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

Similarly, a tech company can extract unstructured data from PDF documents, including purchase orders and feedback forms, to derive meaningful insights about procurement and sales departments. Challenge#5: Maintaining data quality. Ideally, a solution should have real-time data prep functionality to ensure data quality.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

Similarly, a tech company can extract unstructured data from PDF documents, including purchase orders and feedback forms, to derive meaningful insights about procurement and sales departments. Challenge#5: Maintaining data quality. Ideally, a solution should have real-time data prep functionality to ensure data quality.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52