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What is Meant by Big Data?

October 29, 2018/1 Comment/in Big Data, Front Page, Posts /by Adam Getz

The term Big Data describes a massive volume of structured, semi-structured, and unstructured data that can be collected within an organization that is so large that it is difficult to process using common database management tools or traditional data processing applications. When dealing with extremely large datasets, organizations face difficulties in being able to create, manipulate, manage, transfer, and query the data. In addition, big data is difficult to work with using most relational database management systems, business intelligence and analytics applications, and desktop statistics and visualization packages. These types of applications and systems can typically handle large datasets but not the massively large datasets included in big data. Instead big data could require massively parallel software running on tens, hundreds, or even thousands of concurrent servers.

Key Benefits of a Data Warehouse

July 28, 2011/0 Comments/in Business Intelligence, Data Warehousing, Front Page, Posts /by Adam Getz

Data Warehouses are centralized data repositories that integrate data from various transactional, legacy, or external systems, applications, and sources. The data warehouse provides an environment separate from the operational systems and is completely designed for decision-support, analytical-reporting, ad-hoc queries, and data mining. This isolation and optimization enables queries to be performed without any impact on the systems that support the business’ primary transactions (i.e transactional and operational systems). Read more

Gartner Evaluates the “Big Four” BI Megavendors

December 22, 2010/2 Comments/in Business Intelligence, Front Page, Posts /by Adam Getz

Although they’re not pure-play business intelligence vendors, IBM, Microsoft, Oracle Corp., and SAP Business Objects own two-thirds of the $6 billion business intelligence (BI) market because they have optimized their BI platforms to work well with their respective enterprise and information management applications, according to Gartner Inc. This integrated approach, as well as the fact that many enterprises already have these vendors’ ERP and information management applications in place, is swaying customers to standardize on one of their BI platforms. (source: searchcio.com)

Definition of Business Intelligence Center of Excellence (BI COE)

November 20, 2010/0 Comments/in Business Intelligence, Center of Excellence, Front Page, Posts /by Adam Getz

Business Intelligence Centers of Excellence (BI COE) enable the design, development, and implementation of strategic, enterprise, department, and tactical Business Intelligence solutions from one centrally managed team within a corporation or organization. In practice, the BI COE allows for a single or set of business intelligence products to become an enterprise standard, and the BI COE group becomes the primary team for conducting implementations, management, and support of BI solutions across an organization.