blogCultural attitudes emerge over data management techniques
Comments (3)

Industry EventsLearn how experts mine data by attending The Modeling Agency's vendor-neutral and application-oriented data mining courses. Participants will learn about predictive modeling strategy, best practices, capabilities, limitations, risks, rewards, methods, tools, techniques, applications, practice, and how to get started.

columnSince observation does not directly delineate requirements, it is up to the BI analyst to structure the surveillance so that it can be used as the basis for gleaning requirements

newsChairmember Mary Schapiro testifies in support additional resources, development of analytical models

blogGraphics updates show fast changes in standing competition
Comments (5)

columnIf we use the term “data scientist,” we imply that there is “data science.” Data management, in turn, has its pedigree in philosophy
Comments (15)

Industry EventsPlan to attend Enterprise Data World, the most comprehensive educational event for data and information management, and formerly the DAMA International Symposium & Wilshire Meta-Data Conference, taking place April 29-May 3, 2012, in Atlanta, Georgia. More than 200 hours of programming on every aspect of the world of data management. Architecture, Governance, Modeling, MDM, Big Data, Analytics, NoSQL, Cloud, Metadata and more, EDW covers it all. Use the coupon code INFOMGMT429 to save $150!

interview10 Minutes With Jacob Spoelstra, global head of R&D, Opera Solutions

Industry EventsLearn how experts mine data by attending The Modeling Agency's vendor-neutral and application-oriented data mining courses. Participants will learn about predictive modeling strategy, best practices, capabilities, limitations, risks, rewards, methods, tools, techniques, applications, practice, and how to get started.

blogPredictive data pitfalls in comparisons of university, state college returns

blogMLB stats analogous to business predictors

columnThere seems to be a lot of agreement that conceptual modeling is needed in data management. There is also some disagreement about what it is, and little understanding of how to do it
Comments (8)

The Database as a Service (DaaS) model is growing its presence across the virtual globe. Enterprises are asking whether DaaS is mature enough to meet their low-cost and high-security data management requirements using a cloud paradigm. Companies are deploying virtualized applications and, as a consequence, they are asking for Relational Cloud as well. Dynamic scalability, privacy, performance and heterogeneous environments or interfaces to business intelligence products ask for a class of solutions to satisfy the cloud paradigm as a whole. Data modeling supports DaaS in that it provides a clear mapping of the deployed data structures, storage and data topology as well as the core business concepts. In this way, CA ERwin Data Modeler enables organizations to collect and serve data models from and to any web data source and data management system in the cloud.

Data Discovery and Profiling is a relatively new data management technique that uses tools to identify all data sources throughout the organization and unearth the meaning of the information itself. As with any new paradigm, today’s budget holders and decision makers must first be educated on data discovery and profiling and then shown the value it can bring to the organization through a clear return on investment (ROI) analysis.

Read the usability comparative product review by Craig Boyd as he ranks CA ERwin against PowerDesigner and ER/Studio. All three tests involved modeling for a Microsoft SQL Server 2008 environment.

Data modeling is a time-proven method for understanding data, its interrelationships and its rules. Data management professionals have long understood the value of data modeling. However, business professionals often don’t understand the value of data modeling. So how can you demonstrate to business management the return on investment (ROI) of data modeling? Read this white paper and find out.

In today’s information-driven economy, more and more organizations rely on business intelligence (BI) applications to make strategic business decisions. A BI report is only as good as the database on which it is built, however, and a data model is key to understanding both the business and technical requirements behind the construction of a BI solution. CA ERwin and SAP BusinessObjects BI solutions provide a powerful combination to produce best-of-breed reporting and analytics, along with with robust data modeling and database design capabilities.