Precisely

FEBRUARY 23, 2024

How Industry Leaders Get Superior Results The majority of respondents in the Arizent/Digital Insurance study rated their data management processes as being only moderately effective at meeting the core criteria for success. This is especially important when matching third-party data with internal data sets.

Insurance 62

Insurance Data Validation Government High Quality Data 62

Precisely

NOVEMBER 29, 2023

Hyperautomation is the practice of automating as many processes as possible across an entire organization as quickly as possible, using a combination of tools, systems, and techniques. Organizations should be careful not to automate business processes before considering which data sets those processes impact.

High Quality Data 62

High Quality Data Data Integration Process Building 62

The Modern Data Company

APRIL 7, 2023

Like technical debt, data debt represents the liability accrued over time by inefficient and outdated methods and technologies for handling corporate data. It is important to note that data debt has methodological and technological components. Data management technologies grow old and out of date.

Management 98

Management Government Data Data Management 98

Precisely

JULY 20, 2023

In a disruptive market, agility and speed are key to success and a competitive edge – and automating your critical SAP ® processes helps unlock those capabilities. When you set out to improve data quality and integrity, it’s critical to keep in mind the interdependence of process and data.

Process 40

Process Finance Government Coding 40

Precisely

OCTOBER 16, 2023

Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. For organizations that continue to rely on mainframe systems to process their most mission-critical workloads, the digital revolution demands new approaches to integration.

Cloud 70

Cloud Cloud Computing Metadata Data Governance 70

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Banking 101

Banking Raw Data High Quality Data Business Intelligence 101