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Analytics for  Not-for-Profits Analytics for  Not-for-Profits

Analytics for Not-for-Profits - PowerPoint Presentation

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Analytics for Not-for-Profits - PPT Presentation

Tayaba Nadeem Business Intelligence Services Team Leader 3172241289 TayabaNadeemmcmtsgcom Business Intelligence What is Business Intelligence Process of understanding data Process of using data ID: 1035723

analytics data strategy intelligence data analytics intelligence strategy business security key fraud define goals objectivesidentify organizations roadmap analytic develop

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1. Analytics for Not-for-Profits

2. Tayaba NadeemBusiness Intelligence Services Team Leader317.224.1289Tayaba.Nadeem@mcmtsg.com

3. Business Intelligence

4. What is Business Intelligence?Process of understanding dataProcess of using dataProcess of presenting data findingsCollection of systems housing or using dataData-Driven DecisionsData MiningData AnalyticsData VisualizationData Tools and InfrastructureBy transforming data to use for analytics, we can visualize our insights and make data-driven decisions leveraging software and services.

5. Why is Business Intelligence Important?

6.

7. DataAnalytics

8. What is Data Analytics?

9. What is Data Analytics?

10. Why is Data Analytics Important?

11.

12. Tier2Tier3Tier1MCM Analytic Solutions

13. Common types of NFP Fraud

14. What Data Analytics can help in Fraud detection and mitigation?

15. Demo of an Analytic Solution

16.

17. MCM Analytic Solutions

18. MCM Analytic Solutions Pricing1-Year Contract Price

19.

20. DataStrategy

21. Sources: https://online.maryville.edu/blog/data-science-for-social-good/In a survey of 460 nonprofit professionals,90% said their organizations are collecting data46% said their data is spread across multiple systems and software platforms 50% said they use software to collect and analyze data as part of their email programs and donor management processesStatistics of Nonprofits Using Data

22. What is Data Strategy?

23. Why is Data Strategy Important?

24. Data Strategy Consultation

25. Data Strategy

26.

27. Value & Benefits of Business Intelligence Services

28. "Organizations are investing trillions to become more data-driven, but only 8% successfully scale analytics to get value from their data."​"Data-driven organizations are now 23x more likely to acquire customers, 6x as likely to retain customers, and 19x more likely to be profitable.""Using big data to the fullest can increase a business' operating margin by more than 60%."Sources: Gartner, McKinsey, Forbes, BARC Reports, NewVantage Partners, IBM, Nucleus Research

29. On average, it takes 16 months to find PCard fraudThe typical organization will have a median loss of $130,000 per caseOrganizations that proactively monitor data using an automated risk management solution detected frauds in less than half the time, with 52% lower fraud lossesImmediate access to reports can identify fraud in a timely manner

30. Use Case: Enhancing Donor Engagement and Fundraising Efficiency through Data Strategy and Data Analytics in a Non-profit Organization

31. Introduction:

32. The Highlights of challenges faced by Hope for Tomorrow:

33. How can Data Strategy help?

34. Action 1: Understand Data Framework

35. Define Goals and ObjectivesIdentify Key Data NeedsDevelop Data Governance and Security FrameworkData Collection and Integration StrategyAction 2: Develop a Data Roadmap

36. Define Goals and ObjectivesIdentify Key Data NeedsDevelop Data Governance and Security FrameworkData Collection and Integration StrategyAction 2: Develop a Data Roadmap

37. Define Goals and ObjectivesIdentify Key Data NeedsDevelop Data Governance and Security FrameworkData Collection and Integration StrategyAction 2: Develop a Data Roadmap

38. Importance of Data Quality, Privacy, and Security

39. Define Goals and ObjectivesIdentify Key Data NeedsDevelop Data Governance and Security FrameworkData Collection and Integration StrategyAction 2: Develop a Data Roadmap

40. How can Data Analytics help?

41. Donor SegmentationSegment the donors base into distinct groups, based on:Donation frequencyDonation amountCommunication preferences

42. Fundraising Performance AnalysisDonation AmountsResponse RatesConversion RatesCampaign ROIDonor Feedback

43. Identify key factors for Donor Engagement

44. Prospect Identification for Future Donors

45. Actionable Recommendations for Hope for Tomorrow

46. Driving Success in Data Analytics

47. Driving Success in Data Analytics

48. Enhancing organizations to grow and stay ahead of the curve with curated solutions.

49. Benefits

50. Questions?

51. Coming Winter 2023…

52. A Member of PrimeGlobal – An Association of Independent Accounting Firms Tayaba NadeemBusiness Intelligence Services Team Leader317.224.1289Tayaba.Nadeem@mcmtsg.com