Dataversity

FEBRUARY 26, 2024

Organizations across all categories and sizes (MNCs and SMEs) have started making critical business decisions based on insights gathered from collected data.

Data Management 147

Data Management Data Architecture Data Security 147

Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Data security is also a part of this field.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Dataversity

DECEMBER 28, 2022

Security Operations (SecOps) refers to a joint effort between operations and IT security teams to maintain a company’s safety and minimize potential threats. An increasing gap typically opens between information security and IT operations teams as the former grows in significance within organizations.

Data Architecture 130

Data Architecture Data Security Cybersecurity 130

Dataversity

APRIL 26, 2021

Most refer to this […]. Lately, we have been talking to quite a few providers of cloud managed services that play in both the private and public cloud spaces. These conversations have centered around how cloud management needs are evolving as enterprises’ hybrid and multi-cloud needs have accelerated.

Data Architecture 130

Data Architecture Data Security Data Governance Government 130

Sisense

AUGUST 28, 2020

All these pitfalls are avoidable with the right data integrity policies in place. Means of ensuring data integrity. Data integrity can be divided into two areas: physical and logical. Physical data integrity refers to how data is stored and accessed. How are your devices physically secured?

Data Quality 101

Data Quality Data Security Data Architecture Agile 101

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52