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5 patterns of embedded Business Intelligence usage

Failures are being development and success providers. Such situations promote detailed analysis, working and non-working schemas definition, insight and patterns generation that allow to act more effectively next time.

Analyzing successful companies’ experience it is possible to highlight 5 patterns of embedded Business Intelligence.

  1. Data management plan generation

A mandatory minimum is effective data management plan generation. Adequate planning of data modeling, extracting and governance is an important step in the process of a corporate intellectual property management system development. Data management is not the most enthralling business part, but it is a vital component. By deploying embedded BI, all the effort and resources are converted into a profit.

  1. Focus on phases

Embedded BI deployment should be gradual. The phased deployment method requires less time and resource spend and almost always results in long-term savings. This method can include releasing a beta version that allows feedback collection. This allows a development team to collect all feedback, case studies and product reviews. A gradual release plan allows resource strapped teams to reach a full application launch without slowing down.

  1. Focus on success factors

For success achievement it is too important to define a business goal point. Goal understanding allows to identify factors that will lead to success. The critical point of the primary goals of BI implementation is to minimize outstanding reports and push up sales. Success factors and goals will change as the business develops. Prime target achievement is the trigger for correcting and higher goals setting.

  1. Users’ training

Business users’ roles should be clearly defined and documented. BI implementation is a great ability to define employees’ roles in the organization who interact with BI, identify and remove knowledge and resource gaps to improve its effectiveness. All ‘participants interacting with embedded BI can be divided into 2 groups: power users and ordinary users. While it is easy for power users to use all Business Intelligence abilities, casual users will need training at the initial stage. According to the statistic 90% of participants are causal users. Most likely they will not need in-depth knowledge to perform specific tasks, but such participants should have comprehensive knowledge and possess tools relevant to their roles.

  1. Data-driven culture promotion

As more casual users transform into confident users and as organizations rely more on data to drive the decisions, data literacy is becoming an important part of entire BI implementation process. Any business decision foundation is data that should be correctly interpreted and analyzed by the user. Management task os to encourage data-driven decision and promote this approach.

An organization of a correct and gradual enterprise BI implementation process allows to bring to the light and receive all advanced technologies benefits and capabilities, improving business activity and increase its development rate.

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