Brenda Woods John Williams Daniel Bailey Breia Stamper.
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Transcript of Brenda Woods John Williams Daniel Bailey Breia Stamper.
BUSINESS INTELLIGENCE/
ANALYTICS
Brenda Woods
John Williams
Daniel Bailey
Breia Stamper
Overview
Definition BI Overview Benefits BI Tools Examples Future
What is Business Intelligence?
Variety of software applications used to analyze an organizations row data
BI as a discipline is made up of several related activities: Data Mining Online analytical processing Querying Reporting
Data analysis process is aimed at boosting business performance
Helps users back up - with hard numbers- business decisions BI is now a requirement for businesses looking to stay
competitive
Short video of Norfolk Southern Railway and how they’ve used Oracle BI.
Benefits of Business Analytics
Eliminate guesstimating – By providing more accurate historical data, real-time updates, synthesis between departmental data stores, forecasting, trending, and predictive analysis
Get answers faster – BI users can quickly get answers to business questions rather than spending hours reading through printed reports
Additional Benefits
Get reports on the fly – Many of the business intelligence software vendors are able to access key business metrics, reports, and dashboards on mobile devices
Get insight into customer behavior – BI software allows companies to see what customers are buying, giving them the ability to turn knowledge into profit
Even More Benefits
Streamline operations – With detailed reports on business performance, organizations can easily see where they need to make changes
Improve efficiency – By not wasting significant time looking for data within various departmental sources
Business Intelligence Design
Finance Supply Chain
SharePoint Website
ETL Process
Data Warehouse
Data Mart Data Mart Data Mart Data Mart
Ad Hoc Reporting
OLAP Reporting Engine
Scorecards Dashboards Tabular Reports
Common Obstacles
Structured & Unstructured Internal & External Don’t have the data Many Data Sources Data overloading Data Access
BI Tools
How do we get to this data? How do we integrate it? How do we present it?
BI Tools
Three CategoriesData ManagementData DiscoveryReports
Data Management
○ Data Extraction/IntegrationRead and extract subsets of dataDifferent Data sourcesOrganize Data
○ Data Quality/TransformationCleansed Data – garbage in garbage outData Consistency – standardizedData Integrity -must match data source
Data Management
Data Discovery Applications Provides an avenue for the users to get to their
data Users are able to slice and dice the data,
identifying patterns that are unknown by traditional reports.
Structured to help users make sense of the data
Data Mining
Examination of large volumes of data and finding patterns and/or relationships that haven’t been discovered.
Help predict behaviors and future trends
Online Analytical Processing (OLAP) Organized hierarchically Uses multidimensional datasets Enables users to compare the data from
many different points of view Utilized by Managers and Power Users
Predictive Analytics
Uses historical data combined with transactional data to help identify risks and opportunities for the future.
Forecast of what Might happen in the future
Allows organizations to become proactive and forward looking.
Reporting Application
Visualization is a graphical representation of data and can help users understand the data in a more insightful way
Dashboards help managers focus on the metrics that are most important
Scorecards takes dashboards one step further by attaching a numerical weight to the performance and maps the progress toward goals
Visualization
Dashboards vs. Scorecards
Dashboard & Scorecard Examples
BI Platform Capabilities
Business User Data Mash up and Modeling
Internal Platform Integration BI Platform Administration Metadata Management Cloud Deployment Development and Integration
BI Platform Capabilities Free-Form Interactive Exploration Analytic Dashboards and Content IT Developed Reporting and Dashboards Traditional Styles of Analysis Mobile Collaboration and Social Integration Embedded BI
BI Vendors
Pull Rate for Order Pickers
9/1
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9/2
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0
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Average
Derrick, Ingram
Goal
Johnson, Anthony
Lauderdale, Robert
Lawrence, Boston
Lemons, Derrick
Owens, Roderick
Williams, Joseph
Business Analytics You have to understand
the history and current aspects of business analytics to understandthe future
These are some of thelarger companies that offer business analyticsoftware.
Popular Programming Languages Oracle is mostly C and C++ SAP is written in ABAP SAS is programmed in C While some statistical companies use
the programming language R, which is based off of C, C++ and Fortran
Cheaper Data Storage
Future of Business Analytics
Cheaper data storage and processing methods increase use of BA
Helps us to develop more accurate goals for the present and the future
Validate or disprove hypothesis through the use of big data
Future of Business Analytics Collection of larger sets of data then
previously collected before. Transitioning from 32 to 64 bit software
and applications Running queries directly in mainframe
ram Able to use centralized data centers
remotely due to faster internet speeds
Going Mobile
Faster processors then before Faster connection speed More ram Higher resolution screen and cameras Social movement to be reachable
anywhere and any way
The simple picture text that we were so proud to be able to finally in recent years not to long ago has now moved on to live video chats.
Getting an email on the phone has gone to full blown meetings and presentations on the go
Data Collection
Instead of just collecting information on how well your employee has preformed in trying to get a good to the end user you find out how the end user uses the product, how they feel about it, any problems that they have with it, and how, where and why they use it.
Business Analytics Is needed to
understand thebigger picture while still notlosing focuson the everyday goals.
Questions