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BI Implementation: Summary
BI implementation allows analyzing company’s data to support decision-making at strategic, tactical and operational levels. BI implementation may take from 6 months and cost from $80,000, requiring a team of a PM, a BA, a solution architect, a BI developer, a data engineer, QA and DevOps engineers.
Many people believe that data-driven research is only conducted in the sciences. It’s commonly considered to entail a spreadsheet full of numbers. Both of these assumptions are false. Research data is collected and used in scholarly work across many academic disciplines, and while it can be as simple as figures on a spreadsheet, it can also be more complex.
Project Plan Steps
Many people believe that data-driven research is only conducted in the sciences. It’s commonly considered to entail a spreadsheet full of numbers. Both of these assumptions are false. Research data is collected and used in scholarly work across many academic disciplines, and while it can be as simple as figures on a spreadsheet, it can also be more complex.
Data Consulting
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Big Date & AI
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Quantitative Algorithms
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Requirements engineering
Defining functional and non-functional requirements for a BI solution. These requirements can be further classified into two groups – mandatory and optional.
Analytics Strategies
To create a robust data and analytics strategy, business leaders need to consider many factors. Here are the critical points I would expect to see in a strong data strategy:
Defining deliverables, assessing risks, estimating BI implementation costs, TCO and ROI. After fulfilling this step, you get a detailed project plan, a project schedule and a communication plan.
- Reduce Costs and Save Time
- Mitigate Business and Policy Risk
- Increase Revenues and Margins
