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Mike Tangedal Sas Solutions
- 1. Sr. SAS Programmer Mike Tangedal
- 2. Professional Credentials: Efficient SAS programming Throughout my career I have specialized in creating efficient SAS programs to the point where I have completed every class offered at the SAS institute on programming efficiency, read every major book on the subject and presented papers at SUGI on efficiency What I do best is to enhance/create the most thorough SAS solutions that produce the required results as quickly as possible
- 3. Professional Credentials: Experience and Background I have been a professional SAS programmer for over twenty years I have extensive experience in creating detailed reports in a variety of formats for the banking, healthcare, insurance, airline, and pharmaceutical industries My data source experience includes Excel, Access, Oracle tables, SQL, etc. I have thorough knowledge of data warehousing techniques including creating and implementing my own design for a metadata repository
- 4. SAS Expertise Employed: A typical case study Components involved Data from a particular project Resulting Report Deliverable Data warehouse Computer Network
- 5. SAS Expertise Employed: A typical case study Process flow to completion Resulting Report Deliverable Data from a particular project Data warehouse Computer Network
- 6. SAS Expertise Employed: A typical case study What I do is enhance every step of this process in which SAS is involved Whereas the most basic means of utilizing the contents of an external file into SAS is through a simple ‘data step’ process as follows: /* Read ‘data from a particular project’ file into SAS */ data new_project; infile ‘path and location of project\projectname.txt’; informat keyfield $20. Field1-field4 best12. Last $10.; input keyfield field1-field4 last; format field1-field4 dollar12.2; run; Integrating this new file information into the corresponding master file in the data warehouse is also basic SAS /* sort new project data and match with master table */ proc sort data=new_project; by keyfield; run; proc sql; create table new_project_match as select * from master where master.keyfield = new_project.keyfield order by master.keyfield; quit; Data from a particular project Data warehouse
- 7. SAS Expertise Employed: A typical case study Use of a metadata repository as well as advanced SAS programming practices increases efficiency and decreases development time Source file names are stored outside the SAS program code in a file that serves as both project documentation and metadata repository ‘ Proc Import’ is used to take advantage of the SAS conversion engine /* Read ‘data from a particular project’ file into SAS */ /* file name stored in SAS macro variable */ proc import datafile=“&projectname” out=new_project; run; Once external data is available as a SAS data set, a standardized QA macro is run generating both a metadata QA file and a data set to be matched to the master table /* run External QA macro to generate ‘new_project QA’ file as well as ‘new_project’ data set sorted by ‘keyfield’ */ %xtrnlQA(inset=new_project,outset=new_project,sort=keyfield, outfile=new_project_QA) Metadata Repository Data from a particular project Data ware-house
- 8. SAS Expertise Employed: A typical case study A modular approach is used for proper variable calculations before summarization and reporting Depending upon the lifespan of the project, some to all of the final definitions of the variables required for the summarization and reporting phase of the SAS program will reside outside the body of the main SAS program and in the metadata repository attached to the main data warehouse Again, this is done as a means of both documentation and to ease in future updates to the project /* data step showing use of a file in the metadata repository containing variable definitions and calculations required for this project */ data new_project_calc; set new_project_match; /* created by matching to data warehouse table */ /* the file below contains variable definitions in base SAS */ %include ‘sas metadata repository\new_project\definitions’; run; The goal is not to create the most sophisticated or complicated SAS process but to create the most efficient, thorough, and easily expandable SAS process Metadata Repository
- 9. SAS Expertise Employed: A typical case study Summarization and Reporting Once file definitions have been finalized, the resulting summary data set can be stored in the data warehouse as a source for any summary report /* summarize resulting data set by all dimensions and metrics */ proc summary data=new_project_calc nway; /*dw=libname for data warehouse*/ class dimension1-dimension10; var var1-var10; output out=dw.new_project_sum (drop=_type_) sum=; run; I am well-versed on the use of both ‘proc export’ as well as variations of ‘ODS’ in order to create all manner of final reports and displays /* Create a spreadsheet of summary file */ proc export data = dw.new_project_sum outfile=‘new project directory\new project.xls’ dbms=excel replace; run; Since refinement of the final reports requires the most communication between programmer and the project manager, the emphasis on a modular process up to this point allows for the quickest possible turnaround during the many adjustments
- 10. Summary My vast expertise on all areas of base SAS programming will be an asset to any organization requiring a variety of SAS solutions I have significant experience in receiving/providing SAS training and have presented papers locally, regionally, and nationally I have excellent communication skills and bring a creative, energetic approach to problem solving
- 11. Contact Information Mike Tangedal 3116 41st Ave S Minneapolis MN 55406 Cell phone (612) 747-3797 [email_address]