Business Intelligence & Analytics Training Course Content

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Business Intelligence & Analytics Training Course Content

What is Business Intelligence & analytics

Business Intelligence (BI) includes the set of ways, processes, applications, data, technologies and technical architectures that area unit used[by whom?] to support the gathering, knowledge analysis, presentation and dissemination of business data. metal technologies give historical, current and prophetic views of business operations. Common functions of business intelligence technologies embody reportage, on-line analytical process, analytics, data processing, method mining, advanced event process, business.BIBDA training in hyderabad kukatpally

performance management, benchmarking, text mining, prophetic analytics and prescriptive analytics. metal technolgies will handle massive amounts of structured and typically unstructured knowledge to assist establish, develop and otherwise produce new strategic business opportunities. They aim to permit for the simple interpretation of those huge knowledge. distinguishing new opportunities and implementing a good strategy supported insights will give businesses with a competitive market advantage and long stability.

Business intelligence are often used[by whom?] to support a large vary of business choicesstarting from operational to strategic. Basic operative choices embody product positioning or valuation. Strategic business choices involve priorities, goals and directions at the broadest level. altogether cases, metal is best once it combines knowledge derived from the market within which an organization operates (external knowledge) with knowledge from company sources internal to the business like monetary and operations data (internal data). once combined, external and internal knowledge will give a additional complete image that, in effect, creates associate “intelligence” that can’t be derived by any singular set of information. Amongst myriad uses, business intelligence tools empower organizations to achieve insight into new markets, to assess demand and suitableness of merchandise and services for various market segments and to determine the impact of selling efforts. for more info click here.




Business Intelligence & Analytics Course Content

01.Overview of Business Analytics

  • Introduction to Analytics
  • Davenport article – “Competing on Analytics”
  • LaValle et al. article – “Analytics: The New Path to Value”

02. Visualization/ Data Issues

  • Organization/sources of data
  • Importance of data quality
  • Dealing with missing or incomplete data
  • Data Classification
  • Davenport and Harris article – “The Dark Side of Customer Analytics”




03. Introduction to Data Mining

  • Introduction to Data Mining
  • Data Mining Process
  • Data mining tool XLMiner (Excel add-in – free 15 day trial available at
  • Loveman article – “Diamonds in the Data Mine”
  • Market Basket Analysis – Shmueli
  • Classification and Regression Trees – Shmueli

04. Introduction to Decision Modeling Optimization

  • Use of Excel to solve business problems: e.g. marketing mix, capital
  • budgeting, portfolio optimization
  • Decision Making under Uncertainty Simulation

Business Intelligence & Analytics  Training Demo





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Updated: May 12, 2017 — 11:50 am

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