Coming up with a thorough and effective backup strategy able to protect critical data from losses can be too time-consuming or expensive for an organization. MSPs offering backup as a service are a suitable solution when an organization needs to enhance data safety and gain recovery options here and now. However, a backup MSP aiming to be effective and attractive for clients … [Read more...] about Data Backup Best Practices and Strategies for MSPs
Big data best practice
What Good Data Product Managers Do And Why You Probably Need One
The companies we talk to are diligently building their data product or platform. This includes migrating to Snowflake, integrating with Databricks, moving towards a data mesh, or generally investing in their data stack. Increasingly, we are seeing data departments modernize their team structure with data product managers at the helm of such projects. These data product … [Read more...] about What Good Data Product Managers Do And Why You Probably Need One
Chief Data & Analytics Officer, Insurance 2022
Join us for Chief Data & Analytics Officer, Insurance 2022, happening on May 24-25, 2022, at etc.venues, in New York, NY. Come together with CDAOs, CDOs, CAOs, VPs, Heads of Data Science and the like with one main goal in mind: To strategize, overcome and achieve data success within your insurance organization. In a time when being data-driven is more crucial than ever, … [Read more...] about Chief Data & Analytics Officer, Insurance 2022
Understanding the Difference Between Data Reliability and Data Validity
Data has become central to the success of any modern business, regardless of domain or industry. Despite this, data generated by electronic communication, connected devices, and cloud-based data systems are often underused by decision-makers and managers. Recent research has revealed that only 28% of North American businesses have well-established big data projects in place. … [Read more...] about Understanding the Difference Between Data Reliability and Data Validity
Machine Learning-Based Data Quality Next Frontier for Data Management
Enhancing data quality using machine learning Regardless of how accurate a data system you design, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the top data priorities for 2021, by 61% of respondents. This is … [Read more...] about Machine Learning-Based Data Quality Next Frontier for Data Management