by January 4, 2011 0 comments



Many mid-sized organizations today have business applications like ERP, CRM etc. in place. But itis BI that has proven to be a competitive differentiator for organizations that have relied on business intelligence and analytics tools for decision making. The likes of ERP, CRM, SCM are all having the information stored in their systems, but it’s the BI and analytics tools that can sift through this pile of information and present the user with accurate data that can be successfully used to drive strate-gic business decisions.

The large enterprises have already implemented various BI and BA tools, while mid-sized organization wanting to improve business processes can deploy BI application and leverage it upon the various data sources and platforms that organization already uses. Whereas the Business Analytics capability offers you the power of business intelligence coupled with predictive analytics and decision optimization to improve business growth.

BI Implementation is no child’s play

Any organization intending to implement BI successfully,it becomes imperative to have proper information architecture in place. BI tools have to fetch for information coming from various data stores across departments in an organization. A BI tool sits atop all the data stores as a commonlayer. However, there always remains a gap, because BI so-lution and the information management system, which in-corporates data-warehousing functions is not what everymid-size organization can afford. Moreover, there are vari-ous complexities involved like data cleansing that can makeBI tool implementation tedious.

Altair HiQube BI

Altair’s Hi Qube is one such simulation driven Bi solution that is not dependent of data warehouse infrastructure and is east to get started off too. HiQube is a simulation-driven business intelligence and data analytics solution for guided decision-making, and is developed and supported by Altair Engineering. Hi Qube’s combined multidimensional, relational and hierarchical data engine enables easy creation of complex business models to explore key performance indicators, independently perform integrated what-if analyses and minimize risk through math-based simulation techniques.

Features of Hi Qube

Easy implementation and integration with various data stores is one advantageous feature of Hi Qube. But the high-lighting feature is the unified architecture. Hi Qube is a self-contained business intelligence and data analytics solution to efficiently manage every aspect of data import, staging,analysis, reporting and broadcasting. This unified, open-architecture solution delivers a low total cost of ownership and also allows the user for self-described queries. It advanced data engine can deliver BI solution for extremely large data sets as it combines relational, multi dimensional and hierarchical database methodologies. This allows to administrator to create n-dimensional cubes to organize and bridge data stores.

Coming to analytics capabilities, Hi Qube offers a flexible data analytics solution that can grow with organization’s BI maturity model. It provides various multidimensional views of data models and has embedded optimization formulations for analysts to perform various “what-if” scenarios and predictive analysis.

Importing data sets

Tiresome task is of importing data sets into the BI tool and it is often error prone. Hi Qube offers the user what he wants to incorporate into the BI tool from whatever source. For demo here we’ll be importing a data set from a comma separated file and see some analytics features of the HiQube.








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