Systems


data analytics

Analytics is a wave from the future. Terms like Business Intelligence and Big Data are becoming as common as “supply”, “market analysis” etc. Clearly, analytics is here to stay and you/your company should join the bandwagon- if you haven’t yet. Wikipedia defines analytics as, “The discovery, interpretation, and communication of meaningful patterns in data.” Further definitions state, “Analytics is the systematic computational analysis of data.” When it comes to best practices when starting or growing a business, analytics will soon be added to the list in conjunction with “understanding your customers”. In......

Continue Reading


Often the question asked when it comes to the implementation of Business Intelligence solutions is, “Why do I need BI if I have an ERP system in place?” Here’s why; Definitions of ERP and BI. ERP (Enterprise Resource Planning) combines the multiple systems in different departments within an organization into a single integrated software program that runs out of a single database. One integrated software is then divided into software modules that run a replica of their standalone counterparts. Gartner says, “ERP tools share a common process, data model, covering board and......

Continue Reading


A data model that is well-designed is the foundation to creating business intelligence and data warehouse applications that result to a significant business value. It is the key to success in Business Intelligence (BI). It is paramount that the process is business-centered. It starts with the clear understanding of the business, its purposes, and how the data will be used to support the business. Effective data modeling results in transforming data into an enterprise information resource that is rational, far-reaching and present. Data is transformed from operational or source systems into a......

Continue Reading


A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities; typically this results in ranking, sorting, or choosing from among alternatives. DSSs serve the management, operations, and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance. There are several types of DSSs that include: Communication-driven DSS which enables cooperation, supporting more than one person working on a shared task; examples include integrated tools like Google Docs or Microsoft Groove. Document-driven DSS which manages, retrieves, and......

Continue Reading