Incentive Compensation Management: Build Versus Buy

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

whitePaper | April 27, 2023

Data analytics are used to test controls and validate that business risks are managed. This would generally occur at a point-in-time when an assurance activity is scheduled. Rather than test a number of transactions, the entire population of transactions can be reviewed for greater coverage. Data analytics includes automated tools such as generalised audit software, test data generators, computerised audit programs, specialised audit utilities and computer-assisted audit techniques (CAATs).

whitePaper | February 7, 2020

Multiple studies have proven that, while the business demand for databases grows, operational teams are constrained by traditional, reactive processes. Combined with budgetary pressures, this causes them to fall short in meeting the demand in a timely fashion. In addition, as companies adopt cloud paradigms, operational teams must manage across on-premises and cloud environments with the same resources. To be effective, companies need to shift from a reactive posture to one of standardization and proactive analysis and planning by leveraging intuitive tooling to automate manually intensive and non-value adding activities and to deliver real-time insights.

whitePaper | December 14, 2022

This white paper provides overview information for the Dell Technologies Validated Design for Data Management with Cloudera Data Platform (CDP) Private Cloud Base, for deployment on Dell PowerEdge servers, PowerSwitch networking, and PowerScale storage.

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

whitePaper | February 19, 2020

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.