The Power of Business Intelligence
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Our great BI instruct Brad Parker takes us on a tour on what is Business Intelligence and tools used to analyze data.
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The Power of Business Intelligence
- 1. Business Intelligence Presented by Brad Parker
- 3. What is Business Intelligence? Data Analysis Applications Enterprise Reporting Online Analytical Processing (OLAP) Data Visualizations Dashboards KPIs A variety of software applications used to analyze an organization's raw data
- 4. Why BI?
- 6. Let’s get into some specifics!
- 8. Unlock the Power of BI
- 9. Components of BI Reports – SSRS, Crystal Reports Tableau CSV files – Notepad, Excel, XML Power Query, PowerPivot, Power Maps - Excel Dashboards, KPIs - SharePoint, Power BI SQL, Oracle, PostGres & Hadoop
- 10. BI Layers OLTP SQL, Oracle, PostGres & Hadoop Publish SharePoint ETL SSIS OLAP SSAS Reporting SSRS, CR, Tableau Self Service BI Power BI, Power Pivot, Power Map Data Model Power Query Dataset CSV, Access, SQL, XML Production Database Conversion/Data Cleansing Reporting Database Consolidated Data Reports based On Dataset User based Data Manipulation Distribution of Reports
- 11. OLTP SQL, Oracle, PostGres & Hadoop Reporting SSRS, CR, Tableau Production Database Reports based Direct from SQL WOW! Let’s simplify that . . . We could make reports simply . . . Although the steps are minimal and appears the easiest way to go . . . Pros: • Straight forward approach • Little development needed Cons: • User must have data permissions to run report (IT runs reports) • Puts stress on the production server when running reports • Data is limited to one source • Reports are stored as individual files • Reporting software skillset is needed
- 12. Let’s make that a bit better . . . We could make reports with better performance Although the steps still are minimal and appears the easiest way to go . . . Pros: • Straight forward approach • Data can be reduced to just what is needed in report • Less demand on production server Cons: • Dataset needs updated occasionally • Reports are stored as individual files • Reporting software skillset is needed OLTP SQL, Oracle, PostGres & Hadoop Reporting SSRS, CR, Tableau Dataset CSV, Access, SQL, XML Production Database Consolidated Data Reports based On Dataset
- 13. More BI please! Self Service BI allows users to review, manipulate and share reports and visualizations DBA creates the Data Model for End Users to use BI Tools on. Publish SharePoint Reporting SSRS, CR, Tableau Self Service BI Power BI, Power Pivot, Power Map Data Model Power Query OLAP SSAS Dataset CSV, Access, SQL, XML ETL SSIS Pros: • Minimal IT support needed • Creation of report is what the user makes it to be • Easier way to share reports • Online capability for sharing Cons: • Minimal training needed to use • May require change in infrastructure
- 14. Let’s see those BI Tools! Power MapPower BI
- 15. Power BI
- 16. Power Map From this To this
- 17. Business Intelligence Presented by Brad Parker
Editor's Notes
- Business Intelligence as been around since the late 80’s. The art of getting the right data to be able to make the right decision. What has changed since then, and I do mean dramatically changed, is technology. With the mountains of data being accrued within each organization combined with the mountains of data gathered and sold on the open market we now have Big Data. Needle in a hay stack doesn’t begin to cover the difficulty we have now in getting the needed answers in today’s business. Thus the demand for Business Intelligence.
- Business intelligence, or BI, as a noun is an umbrella term that refers to a variety of software applications used to analyze an organization's raw data. BI as a discipline is made up of several related activities, including data mining, online analytical processing, querying and reporting. BI is really a subset of Business Analytics. We will discuss that in a few moments. The result of business intelligence is extracting and displaying data in such a way that we can make the most intelligent decisions moving forward.
- Business intelligence definitely is a broad topic, but it is so essential in order to thrive and expand. AS you see here . . . (Read through the screen)
- At the end of the day, there are two things worth differentiating: The first is the business aspect of BI — the need to get the most value out of information. This need hasn’t really changed in over fifty years (although the increasing complexity and size of data has made it increasingly difficult to get data to support our intelligent decisions). And the majority of real issues that stop us from getting value out of information (information culture, politics, lack of analytic competence, etc.) haven’t changed in decades either. The second is the IT aspect of BI — what technology is used to help provide the business need. This obviously does change over time — sometimes radically.
- Business intelligence is the only way organization can be ahead of others in a free market competitive environment. Since there are so many components involved, let’s into some specifics.
- When someone says “business analytics” instead of “business intelligence”, it's intended to indicate that business analytics is an umbrella term including data warehousing, business intelligence, enterprise information management, enterprise performance management, analytic applications, and governance, risk, and compliance. Discuss the on screen table
- The remainder of what we will discuss will focus on strictly the BI portion of Data Analytics.. Particularly what you need to know as you discuss client needs in training and what courses may apply with each topic discussed. And yes, there will be a quiz at the end of this workshop! Why do you think you have the handouts to take notes with?
- Databases make the world go around. You can see the underlying foundation is all about the database. These are the primary data systems used by organizations. Reports Exporting of files for individual use Power tools in Excel Dashboards and KPIs
- Load the diagram then walk through the detail *The database engine, SQL, stores the data typically added and modified daily. Example: CRM, LMS *ETL stands for Extract, Transform and Load. SSIS is how in SQL we pull data from the OLTP database to cleanse and transform it into forms for other systems to use *This process puts the data into the format needed for the Reporting Database (OLAP). *ETL can also be used on a smaller scale to create a specific dataset to be used in modeling or reporting for a specific topic. *A Data Model is created to be used by a variety of BI Tools. This can be created from OLAP, ETL or a Dataset * and even directly from SQL. *It provides the basis for Self Service Tools and a variety of * Reporting tools *Once the reports are generated we have an option to publish the reports to SharePoint or a Report Server to share with others.