business analytics implementation
TRANSCRIPT
Business Analytics
• Business Analytics: developing new insights, drive business planning and understanding of business performance based on data & statistical method.
• BI (Business Intelligence): set of methodologies, processes, architectures, technologies transform
raw data into meaningful & useful information, enable smarter decisions & better business outcomes.
Business Analytics
Descriptive Analytics Predictive Analytics Prescriptive Analytics
BI & Data Visualization
Introducing Power BI
1. Free option for a simplified tool that's specifically designed for data analytics and that's updated more frequently than Excel:
• Power Query: data transformation
• Power Pivot: Modeling
• Reporting: Excel Pivot, Power View, Power Map
2. Consists of:• Power BI Service
• Power BI Mobile
• Power BI Desktop
3. Data source:• On-premises: Local Excel/CSV files, Organization database…
• Cloud Services: One Drive, CRM, Google Analytics,….
Power BI Service – 1
1. Sign-Up:• https://powerbi.microsoft.com• Must use work email (techcombank.com.vn): to share your work with colleagues • Remember and noted your password (can not retrieve account if forget your password)
2. Advantages: • Import/connect data source and build instant reports.• Q&A
3. Disadvantages:• Lack of available data analyst skills• Data quality issues: trusted data, can not clean or transform
Power BI Service – 2
Portals:1. Dataset: The data that you analyze
• On-Premises Data set: Must be in Table format if data from Local Excel, CSV) Upload Excel, CSV files to Onedrive
2. Report: Visualize data from exploring a single dataset
3. Dashboard: summarized view of important metrics related to the data analyzing.
• Creating dashboard: Existing reports: pin one/more or entire report page. Can pin visualization from multiple reports into same
dashboard Q&A: type question in natural question box Distributing dashboard: shared via mail or distributed content packs
Power BI Desktop
1. Download:• https://powerbi.microsoft.com
2. Advantages: • Available data analyst skills• Overcome data quality issues: can clean or transform• Add in new released visualizations (http://visuals.powerbi.com)• Publish Reports to Power BI Service
3. Filters:• Visual-level: filter data in the active visualization (filter or add other fields to visualizations)• Page level filters: apply filters to all visualization on the active page• Report level filters: apply filters to all visualization on the report even if they are on different pages
Power BI Mobile
1. Sign-Up:• https://powerbi.microsoft.com• Must use work email (techcombank.com.vn): to share your work with colleagues • Remember and noted your password (can not retrieve account if forget your
password)
2. Advantages: • Import/connect data source and build instant reports.
3. Disadvantages:• Lack of available data analyst skills• Data quality issues: trusted data, can not clean or transform