SayPro Data Analysis

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SayPro Data Analysis

  • SayPro Work with relevant business teams to establish business needs.
  • SayPro Interpretation of data and analysis thereof employing statistical techniques
  • SayPro Developing and implementing databases, data collection systems and data analytics that optimise overall data quality
  • SayPro Acquisition of data from primary or secondary data sources ensuring databases/ data systems is maintained.
  • SayPro Defining new data collection and analysis processes
  • SayPro Identification and analysis of patterns and trends in complex data sets
  • SayPro Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • SayPro Locating and defining new process improvement opportunities

SayPro Delivery and Support

  • SayPro Works alongside teams within the business or the management team to establish business requirements.
  • SayPro Communicates and works closely, where necessary. with the project and solution team to assure that requirements are correctly understood and implemented
  • SayPro Makes recommendations to the business team on methods in which a company obtains and analyses data to improve the quality and the efficiency of data systems.

SayPro Monitor & Evaluate

  • SayPro Utilises data analysis toolsets to mine data from primary and secondary sources
  • SayPro Identifies, analyses and interprets trends or patterns in complex data sets.
  • SayPro Ensures that requirements and models meet the needed quality to guide further work effectively.
  • SayPro Ensures that all requirements support the delivery of business value, fulfil goals and objectives, and meet a stakeholder need.
  • SayPro Evaluates trends and analyses the adoption of new processes and tools in data analysis

SayPro Experience in Data Analysis

  • SayPro has technical expertise with data models
  • SayPro has substantial experience with databases (SQL)
  • SayPro has strong experience with reporting packages (Business Objects)
  • SayPro has a strong background in programming (Javascript, XML)
  • SayPro has strong knowledge of statistics and experience with statistical packages to SayPro analyse datasets (SPSS, SAS, R or Python-Statistical Programming, Excel, etc.)
  • SayPro has Expertise in Stakeholder Management.