Business Intelligence and Analytics:
Our Business Intelligence services include maintenance and support as well as and creating solutions that deliver the right results.
Analytics and Reporting: Hyperion, Crystal Reports, OLAP (Online Analytical Processing), SQL Server, SAS, Cognos
Frameworks: Rubic Framework, Master Data Management Framework
Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes. BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics.
Business intelligence aims to support better business decision-making. Thus a BI system can be called a decision support system (DSS). We assure our every customer with a wide equipped set of business intelligence with analytical plans and procedures. Though the term business intelligence is sometimes used as a synonym for competitive intelligence, because they both support decision making, BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. Business intelligence understood broadly can include the subset of competitive intelligence.
Business intelligence and business analytics
Business analytics is the subset of BI based on statistics, prediction, and optimization.The user aspect of Business Intelligence
We make some considerations in order to successfully integrate the usage of business intelligence systems in a company. Ultimately the BI system must be accepted and utilized by the users in order for it to add value to the organization. If the usability of the system is poor, the users may become frustrated and spend a considerable amount of time figuring out how to use the system or may not be able to really use the system. If the system does not add value to the users´ mission, they will simply not use it.
In order to increase the user acceptance of a BI system, it may be advisable to consult the business users at an early stage of the DW/BI lifecycle such as for example at the requirements gathering phase. This can provide an insight into the business process and what the users need from the BI system. There are several methods for gathering this information such as e.g. questionnaires and interview sessions.
When gathering the requirements from the business users, the local IT department should also be consulted in order to determine to which degree it is possible to fulfill the business´s needs based on the available data.
Taking on a user-centered approach throughout the design and development stage may further increase the chance of rapid user adoption of the BI system. Besides focusing on the user experience offered by the BI applications, it may also possible to motivate the users to utilize the system by adding an element of competition. Kimball suggests implementing a function on the Business Intelligence portal website where reports on system usage can be found. By doing so, managers can see how well their departments are doing and compare themselves to others and this may spur them to encourage their staff to utilize the BI system even more.
Providing user support is necessary in order to maintain the BI system and assist users who run into problems. User support can be incorporated in many ways, for example by creating a website. The website should contain great content and tools for finding the necessary information. Furthermore, helpdesk support can be used. The helpdesk can be manned by e.g. power users or the DW/BI project team.