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Business Intelligence for Better Insights Presented By Frank Silva

Business Intelligence for Better Insights

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Page 1: Business Intelligence for Better Insights

Business Intelligence for Better Insights

Presented ByFrank Silva

Page 2: Business Intelligence for Better Insights

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 into Word 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.

Page 3: Business Intelligence for Better Insights

Need for an Enterprise Data Warehouse

• Well architected data warehouse

• Enterprise-wide perspective

• Dimensional• Conformed• Quality• Timely data• Performance• Reporting and Analytics• Data Visualization• Right tools

Page 4: Business Intelligence for Better Insights

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

Page 5: Business Intelligence for Better Insights

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

Page 6: Business Intelligence for Better Insights

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, SPSS Text 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

Page 7: Business Intelligence for Better Insights