In practice, business intelligence has a lot of potential, allowing enterprises to interpret their past to better plan their future for enforcing a growth cycle.
Integrate process management and business intelligence: In order to operate a real time intelligent business, processes shouldn’t be dumb. There are sorts of process intelligence which implies information & feedback. The next generation of process management will integrate business intelligence, not only implement automation but also enhance learning as a process, optimize the process design with advanced analytics capabilities, enable knowledge sharing, and unify processes to fit the purpose of business systems.
As decisions become more complex and involve more diverse stakeholders, you need a sound process to frame decisions, spec out your options, weigh them appropriately with the right people, and actually make effective decisions consistently. An organization with fine-tuned business processes that embed business intelligence mechanism allows information and idea flow to get nurtured, harness cross-functional communication, and mass collaboration, improve decision coherence, and turn opportunities into business value systematically.
Combine business intelligence with rule management associated with business process management to improve decision effectiveness and increase performance: All company’s performance is directly related to the decisions people make every day, across the organizational hierarchy, the activities they take, so make business intelligence-driven performance management more “visible” for them. There may be aspects of the work that could be easily defined and captured as activities in business processes. These activities are usually executed by knowledge workers, who can apply knowledge in a way that can't be captured easily in a well-defined activity that is governed by a set of business rules.
Performance Management is more as decision management. Performance management process’s main goal is motivation and retention: There needs to be a baseline process defined across the organization to allow for consistency of the decision effectiveness. High performance organizations combine business intelligence with rule management to improve business performance management by monitoring processes from outside-in perspective and implementing process intelligence.
Typically, business intelligence without data quality is useless because you're not basing your decisions on good quality information. Data governance really comes down to making a proactive decision about what data is needed, what it means to the enterprise and how to understand the quality of data. Business intelligence applications are pretty close to useless without data governance in place and enforced. Data governance leads to excellent data quality which in turns leads to business intelligence for improving decision maturity and overall organizational maturity. There will always be non-agile processes somewhere in the background, and these need to work effectively alongside the agile way of working. The well-established disciplines and highly skilled and motivated individuals can help to oil the wheels.
In practice, business intelligence has a lot of potential, allowing enterprises to interpret their past to better plan their future for enforcing a growth cycle. It makes digital influences which touch every aspect of the business across the geographical and business territories, and shape a dynamic and ever-expanded high performance business.
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