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Data Analytics: Improving Business

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Data Analytics is the process of extracting meaning from raw data using computer software. This process transforms organizes and models data to extract meaningful conclusions and identify patterns.

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Data Analytics: Improving Business

  1. 1. Data Analytics: Improving Business Presented by: Marlon Thompson Symptai Consulting Limited
  2. 2. What is Data Analytics? Data Analytics is the process of extracting meaning from raw data using computer software. This process; • transforms, • organizes; and, • models data to draw conclusions and identify patterns.
  3. 3. Data Analytics methodology (CRISP-DM)
  4. 4. Why is Data Analytics Important? Data Analysis is the best way for a business to understand their challenges. • It organises , interprets, structures and presents data as useful information. • This context is then used to make informed decisions to enhance productivity and business value.
  5. 5. What is the Value?
  6. 6. Data Analytics in Action Risk Management • Fraud Prevention • Anti-Money Laundering • Computer Security Monitoring • Customer Risk/Credit Scoring • Loss Prevention • Continuous Auditing Revenue Growth • Ads Targeting • Sales Demand Forecasting • Sales Offerings • Customer Retention • Quality Assurance
  7. 7. How does it work?
  8. 8. Clustering
  9. 9. Classification
  10. 10. Prediction
  11. 11. To improve your approach to data analytics 1. Evaluate the data to identify gaps and use this to improve data quality over time. 2. Clearly define the objectives and choose appropriate tools. 3. Focus on objectives that have the most impact on business value.
  12. 12. Summary • Be creative about how you approach data analysis. • Invest in the people and tools necessary for success. • Provide value for management from data analytics. • Where possible eliminate sampling risk. • Use data analytics to make informed decisions.
  13. 13. Questions? Marlon Thompson, Symptai Consulting Limited Email: info@symptai.com

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