Mind Blowing Business Intelligence Dashboards
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Learn how to transform your data into insight through actionable dashboards. We'll show how you can connect to data in a few clicks, then visualize and create interactive dashboards with a few more. This is BI without heavy involvement from IT.
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Mind Blowing Business Intelligence Dashboards
- 1. If you have questions: ◦ Twitter - @unilytics ◦ Use the Question box in the GoTo Webinar Control Panel
- 2. Visualization & Dashboards Karen Ragotte Marketing Manager Peder Enhorning President & CEO Eric Tobias Director, Analytics Services October 25, 2012
- 3. Overview Leading provider of Digital Analytics services since 2001 800+ customers across North America 450+ consulting engagements Technology to automate and improve reporting and analytics
- 4. ROI for Business Analytics is $10.66 for every $1 invested* *Source: CRM Magazine, February 2012: http://www.destinationcrm.com/Articles/ReadArticle.aspx?ArticleID=79886
- 5. Ease of Use Dashboard Evolution Functionality
- 6. Dashboards should… • Emphasize graphics over text • Fit on a single page (without scrolling) • Be customized specifically for the information consumer • Import data from multiple data sources • Allow for Business Intelligence and ad hoc queries
- 7. Toronto 2011 Parking Infractions
- 8. Traditional BI Cognos, Business Objects, Microstrategy
- 9. Traditional BI Cognos, Business Objects, Microstrategy Fast as long as you Fast as long as you Agile Every new report takes have access to well-structured have access to well-structured 3 months data data
- 10. Traditional BI Cognos, Business Objects, Microstrategy Fast as long as you Fast as long as you Agile Every new report takes have access to well-structured have access to well-structured 3 months data data Deployment Software on premise Data in cloud Software on premise
- 11. Traditional BI Cognos, Business Objects, Microstrategy Fast as long as you Fast as long as you Agile Every new report takes have access to well-structured have access to well-structured 3 months data data Deployment Software on premise Data in cloud Software on premise Approachable Great for BI Suppliers! Strong data import Strong data visualization Bad for everyone else
- 12. Traditional BI Cognos, Business Objects, Microstrategy Fast as long as you Fast as long as you Agile Every new report takes have access to well-structured have access to well-structured 3 months data data Deployment Software on premise Data in cloud Software on premise Approachable Great for BI Suppliers! Strong data import Strong data visualization Bad for everyone else Cost $$$ $ $ Time to Value
- 14. Tableau Rankings 13 BI capabilities 27 vendors #1 Reporting #1 Dashboard #1 Interactive Visualization #1 Metadata Management #2 Development Environment #2 Collaboration #2 OLAP #3 Scorecarding #4 Search based BI #5 Ad hoc query #5 BI Platform Infrastructure #8 MS Office integration #8 Predictive Modeling & Data Mining
- 15. ETL - Extract, Transform and Load E - process of obtaining data from a source (e.g., database, Excel, text file, web service, etc.); T - converting incompatible data, reformatting data to meet the importing application’s rules, or filtering out or translating undesirable data; L - importing the resulting data into the system.
- 16. ETL - Extract, Transform and Load “20121025” 10/25/2012 2012/10/25 25-10-2012 2012-10-25 25-10-12 12-10-25
- 17. Dashboard Input
- 18. GoodData
- 19. Connections • Microsoft Excel • Firebird • Microsoft Access • Microsoft Analysis Services • Text files • Oracle Essbase • Odata • Netezza • Windows Azure • Teradata Marketplace Datamart • Greenplum • Aster Data nCluster • SybaseIQ • Microsoft SQL Server • ParAccel • MySQL • Microsoft PowerPivot • Oracle • Vertica • IBM DB2 • ODBC • PostgreSQL
- 20. Tableau Desktop Tableau Server + explore, visualize, and + web-based business analyze data intelligence platform + answer any question + rapid-fire analytics and + create dashboards to dashboarding consolidate views
- 21. Unilytics Consulting Services • Business Strategy and KPI Creation • Dashboards & ETL • Dashboard & Web analytics implementation and product training • Report interpretation and Business Optimization
Hinweis der Redaktion
- If you’d like to ask a question, you can Tweet us at unilytics. Or you can use the GoTo Meeting control panel - instead of raising your hand, just type your question into the question window. We’ll answer all questions at the end of the webinar.We are recording the webinar and will make the recording available on our website.
- In a recent study it was shown that Business analytics has a tremendous ROIThe reason is there is so much data available, but often it’s difficult to access and analyse Hard returns: cost savings and increased salesSoft returns:greater productivity, collaboration, and customer service
- So, what’s so great about dashboards?!If we look at the evolution of analytical business tools, it wasn’t that long ago that we did things manually and with calculators. The spreadsheet has helped us calculate totals and formulas but it doesn’t allow us to interact with the data. The problem is that standard reports of rows and columns make it impossible to understand what’s going on. And we end up relying on IT or other departments to dissect the data. But you as the business user know what questions to ask, so you need a tool for interacting with the data! Dashboards are the new spreadsheets or at least the next business tool. They allow us to slice and dice the data to fully explore it and come up with answersIt breaks the grip on 2-dimensional analysis
- Having source data and dashboard software isn’t enough in many cases. Data can be in an unexpected format and require cleansing or transformation. This requires either data cleansing or ETL software, or deeper skills in the dashboard software.
- For example, something as simple as a date field in the format “20121025” becomes a problem because it isn’t a ‘standard’ date format. Properly converting the string to a date requires extracting each piece of the date one by one and then re-assembling them into a standard date format and converting the result into a recognized date format (e.g., 10/25/2012 or 25-10-2012).ETL can be fairly simple (e.g., a database export) or a very complex undertaking (e.g., social media sources) experience doing custom data extraction, or using various software packages that automate extraction. In addition we have assisted numerous clients with mapping data between systems and ensuring the rules of each are understood and followed.