As the available industry literature suggests, Data Quality (DQ) is seriously hindering the success of many big data projects. However, it is apparent that without an organized movement in favor of Data Quality for big data, nothing will actually happen to change the current scenario. In an interview with the CEO of Informatica, Anil Chakravarthy, […]
7 Factors to Consider When Deploying a Modern Data Estate
The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. Many companies have already invested in their data environment by deploying a traditional data warehouse, but data warehouses have many limitations. For example, most data warehouses […]
Business Intelligence and Analytics Trends in 2022
The industry giants – Microsoft, Google, IBM, Amazon, and Oracle – are still leading in the global analytics market shares. Microsoft, Amazon, and Oracle are additionally outperforming the market for all other vendors. However, it’s interesting to note that the battle among the top analytics vendors is not over “sophisticated algorithms,” but over Data Quality. […]
ADV Webinar: Measuring Data Quality Return on Investment
To view just the slides from this presentation, click HERE>> This webinar was sponsored by: About the Webinar Data Quality is an elusive subject that can defy measurement and yet be critical enough to derail any project, strategic initiative, or even a company. The data layer of an organization is a critical component because it […]
ADV Slides: Measuring Data Quality Return on Investment
Measuring Data Quality Return on Investment from DATAVERSITY To view the On-Demand recording of this presentation, click HERE>> This webinar was sponsored by: About the Webinar Data Quality is an elusive subject that can defy measurement and yet be critical enough to derail any project, strategic initiative, or even a company. The data layer of […]
Data Management Platform vs. Customer Data Platform
A Data Management Platform (DMP) is a storage location for all types of data – all the way from contact lists to transactional data. The data stored in a DMP is analyzed for business insights and customer intelligence. DMPs generally collate data from various business systems, such as ecommerce sites, social sites, or a CRM. […]
3 Steps to Maintain Total Data Visibility
We live in an era where data is progressively becoming the essential and the only fuel for thriving business success. And the rapidly growing volumes of data have raised several security concerns that can’t be overlooked. Though managing the in-house data stored locally wasn’t really a tough nut to crack, cloud computing has made data visibility and […]
How a Cultural Shift Toward Data Democratization Can Improve Analytics
As part of a well-desired culture change of data awareness in an organization, data democratization is a concept that enables easy access to data by anyone. The ease of availability and access to data allows for direct and indirect data monetization, thus improving revenue streams. This concept can be realized through an internal marketplace as […]
A Brief History of Machine Learning
Machine learning (ML) is an important tool for the goal of leveraging technologies around artificial intelligence. Because of its learning and decision-making abilities, machine learning is often referred to as AI, though, in reality, it is a subdivision of AI. Until the late 1970s, it was a part of AI’s evolution. Then, it branched off […]
The Future of Data Engineering
A Data Engineering Guide reveals that while people often rely on the work of data engineers — depending on Siri for quick solutions or being enchanted by custom recommendations or promos — they often do not realize that these advanced tools can provide accurate results only because of the hard work put in by data […]