Analysts, leaders, and other business professionals often see statistical modeling and advanced analytics as confusing and complex. In fact, many will not even attempt to understand them. They see data science as something beyond their grasp -- a world for...
Future businesses will be defined by new efficiencies, strategies, and business models created with data-driven knowledge. If companies wish to maintain traditional on-premises ERP solutions, they will face costs and compromises. For the rest of the article, please see link....
| Introduction to NoSQL |
| Location: Helsinki, Finland |
| Date: 06/14/2017 |
| Information Maturity Curve Assessment |
| Location: Chicago |
| Date: 05/12/2017 |
| Strategies For Consolidating Enterprise Data Warehouses And Data Marts Into A Single Platform (Keynote) |
| Location: Dallas |
| Date: 05/06/2017 |
| Raising the Information Management Maturity Curve |
| Location: Dallas |
| Date: 04/11/2017 |
Many shops experience database spread -- the existence of far too many databases, often with redundant data, and often for very discrete needs. In these shops, databases are often built relatively quickly to expedite projects and applications. Once this is...
9 Cloud analytic database solutions were evaluated over six Disruption Vectors: Robustness of SQL, Built-in optimization, On-the-fly elasticity, Dynamic Environment Adaption, Separation of compute from storage, and Support for diverse data. Key findings in our analysis include:
Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based...
| Raising the Information Management Maturity Curve (Keynote) |
| Location: Atlanta |
| Date: 04/04/2017 |