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Business Intelligence for Better Insights
Presented By
Frank Silva
Current Status
• About 25 systems to capture information from different areas of the organization.
• Information collected includes financial, statistical, clinical and workload.
• Information is captured in structured and unstructured formats.
• Manually compiling information intoWord documents, Excel Spreadsheets etc.
• Use Crystal Reports and PowerPivot that relies on SQL extracts.
• Managers do not always have the information necessary to make decisions in a timely manner.
• Recently invested in a SQL data warehouse solution.
• Moving to consolidate all of the information into a single source.
• Significant quality issues with the data.
Need for an Enterprise Data Warehouse
• Well architected data
warehouse
• Enterprise-wide perspective
• Dimensional
• Conformed
• Quality
• Timely data
• Performance
• Reporting and Analytics
• DataVisualization
• Right tools
Strategic direction for BI
• Think big, start small, incremental, deliver value
• BI strategic direction (aligned with business goals)
• Sponsorship
• Clear understanding of what users need
• BI Roadmap (As-is state analysis,To-be State analysis, gap, priorities, roadmap)
• BI Program (technology, infrastructure, people, processes)
• Best practices and standards
• Continuous improvement
Dealing with data quality
• Data profiling and cleansing
• Incorporate business rules in ETL
• Business leadership and involvement
• Data governance and stewardship
• Establish data governance body
• Master data management (MDM)
• Consider data as an asset, quality culture
• Business ownership of data - Data Stewards
• Measure and monitor quality
Dealing with unstructured data
• Documents, metadata, health records, audio, video, analog data, images (e.g. MRI scans), files, and unstructured text
such as the body of an e-mail message, Web page, or word-processor document.
• Occupies 80% by volume compared to only 20% for structured data.
• Most database products can handle unstructured data, the industry direction is to develop content
management applications for managing it.
• Do we simply want to consolidate data for easy access? Enterprise search engine.
• Do we want to analyze for business intelligence processing? Unstructured Information Management Architecture
(UIMA) – IBM, SAS, SPSSText Mining software
• Do we need to combine unstructured data with structured data? OCR, VCR, integration process
• Assess requirements, POC or POT.
• Include in the BI program
Business Intelligence for Better Insights

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Business Intelligence for Better Insights

  • 1. Business Intelligence for Better Insights Presented By Frank Silva
  • 2. Current Status • About 25 systems to capture information from different areas of the organization. • Information collected includes financial, statistical, clinical and workload. • Information is captured in structured and unstructured formats. • Manually compiling information intoWord documents, Excel Spreadsheets etc. • Use Crystal Reports and PowerPivot that relies on SQL extracts. • Managers do not always have the information necessary to make decisions in a timely manner. • Recently invested in a SQL data warehouse solution. • Moving to consolidate all of the information into a single source. • Significant quality issues with the data.
  • 3. Need for an Enterprise Data Warehouse • Well architected data warehouse • Enterprise-wide perspective • Dimensional • Conformed • Quality • Timely data • Performance • Reporting and Analytics • DataVisualization • Right tools
  • 4. Strategic direction for BI • Think big, start small, incremental, deliver value • BI strategic direction (aligned with business goals) • Sponsorship • Clear understanding of what users need • BI Roadmap (As-is state analysis,To-be State analysis, gap, priorities, roadmap) • BI Program (technology, infrastructure, people, processes) • Best practices and standards • Continuous improvement
  • 5. Dealing with data quality • Data profiling and cleansing • Incorporate business rules in ETL • Business leadership and involvement • Data governance and stewardship • Establish data governance body • Master data management (MDM) • Consider data as an asset, quality culture • Business ownership of data - Data Stewards • Measure and monitor quality
  • 6. Dealing with unstructured data • Documents, metadata, health records, audio, video, analog data, images (e.g. MRI scans), files, and unstructured text such as the body of an e-mail message, Web page, or word-processor document. • Occupies 80% by volume compared to only 20% for structured data. • Most database products can handle unstructured data, the industry direction is to develop content management applications for managing it. • Do we simply want to consolidate data for easy access? Enterprise search engine. • Do we want to analyze for business intelligence processing? Unstructured Information Management Architecture (UIMA) – IBM, SAS, SPSSText Mining software • Do we need to combine unstructured data with structured data? OCR, VCR, integration process • Assess requirements, POC or POT. • Include in the BI program