1. TIRA The Institute of Research and Analysis Data Driven Development
Accountant General Analytics Reporting By
Michelle Morel
CEO and Founder
TIRA The Institute of Research and Analysis Data Driven Development
Copyright © 2017 TIRA

2. Presentation Outline Introduction to TIRA
Accountant Generals’ Big Data Analytics Trends
Dashboard Overview
Percentage by Function (Financial Report and Budget )
Financial Report, Budget, Difference, Projections
Statement B: Budget Execution - Expenditure by Function ( )
Overview:
Statement A - Cash Receipts and Payments
Statement B - Budget Execution
Statement B 2015 Overview - Budget Execution
Combining Internal and External Data
Country Policy and Institutional Assessment (CPIA) - Quality of Budgetary and Financial Management
Public Management
General Government Revenue (% of GDP) vs. General Government Net Lending/Borrowing (% of GDP)
Summary Statement / Recommendation
Q&A (10 Minutes)
Timeframe (40 Minutes)

3. About TIRA
The Institute of Research and Analysis (TIRA) is a U.S. Headquartered big-data analytics consulting firm, with offices in Zambia.
Its vision statement is Data Driven Development.
TIRA recognized the opportunity to make cents of data, that is, to make data work for its clients via value addition. We transform data into a Strategic Asset.
TIRA has clients in the Private Sector, Zambian Government, donors, cooperating partners and non-governmental organizations to deliver solutions that work.
Data Collection Plans
Research and Analysis
Analytics (Operational, Customer, Financial, Predictive, etc..)
Monitoring and Evaluation (independent)
TIRA has strategic partnerships around the globe that support delivery of impacting results and high quality outputs in research, process improvements, analysis and robust communication strategies.
Access to 80,000 indicators and data sets

4. Cont..
Communication Strategies – We draft the strategy, content and orchestrate the dissemination.
Strategic communications plans;
Support enhancement of visibility and crisis management
Generate positive media coverage
Increase the awareness and involvement of specific targeted groups
Inform and change attitudes and generate support from the public, policy makers, and clients
Encourage financial support
At TIRA we are disrupting business-as-usual by empowering organizations to include analytics —thus closing the loop between insight and action.

5. AG’s Big Data Analytics Trends
Increasing use of analytics
Combining traditional and non-traditional data
Predictive Analytics - The use of big data to identify past patterns to predict outcomes, employs predictive modelling.
Central Bank Survey - A little more than 80% of respondents said they have no intra-departmental or divisional bodies dedicated to big data. More than three-quarters of respondents indicated they had a shared internal platform, typically in the form of reporting frameworks and data warehouses.
Paradigm shift - from number crunching to focus is training on transforming data into action.
Combing tradition and non-traditional data sources.
Combining internal information/sources, and external indicators
Correlational analysis and predictive analytics

6. Cont.. Action Regulatory Risk Management Data driven communication
Policy setting - targeted and tailored, data driven
Increase in the speed and accuracy of feedback and impact of legislative and reform changes
Risk Management
Efficient monitoring and evaluation of programs and policies as well as better identification of improvements to programs and policies
Target setting
Improved decision making through a faster and more accurate assessment of risks
Data driven communication
Improved internal and external communication
Stakeholder Management

7. Dashboard Overview

9. Overview - Dashboard

10. Overview - Dashboard

11. 2013-2015: Statement A and B Overview

24. 2015 Overview Highlighting Statement B

30. Combining Internal and External Data

33. General Government Revenue (% of GDP) vs
General Government Revenue (% of GDP) vs. General Government Net Lending/Borrowing (% of GDP)
General government revenue (% of GDP)
International Monetary Fund: World Economic Outlook Database Percentage
From the World Economic Outlook Database. General government revenue consists of taxes, social contributions, grants receivable, and other revenue. The data is expressed as a percentage of gross domestic product (GDP). GDP represents the total value of final goods and services produced within a country during a specified time period.
VS.
General government net lending/borrowing (% of GDP)
International Monetary Fund: World Economic Outlook Database Percentage
From the World Economic Outlook Database. General government net lending/borrowing (% of GDP) is calculated as revenue minus total expenditure, and expressed as a percentage of gross domestic product. A negative value represents net borrowing, which is the financial resources that the government absorbs from other sectors of the economy. A positive value represents net lending, which is the financial resources that the government releases to other sectors of the economy. GDP represents the total value of final goods and services produced within a country during a specified time period.

35. Summary Statement & Recommendation

36. Summary/Recommendations
Accountant General Office trends- Outsourced analytics, focus on transforming analytics to action (policy/budgetary process, risk management, stakeholder management, communication (internal/external)).
Consistent observation - Variance in Financial Report vs. Budget
Statement A- Cash Receipts and Payments need to include analytics in preparation.
Statement B- Significant variance between Privision vs. Actual, payment variance, need for variance targeting
Opportunity to utilize international indicators
Analytics is being increasingly utilized for budget preparation, M&E, variance targets, budget execution
Opportunity to provide data driven communication and improve stakeholder management.
Copyriht © 2013 Open Geospatial Consortium

37. Q & A

38. Copyright © 2017 by TIRA
All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of The Institute of Research and Analysis (TIRA), except in the case of brief quotations embodied in critical reviews and certain other non-commercial uses permitted by copyright law. For permission requests, write to TIRA -
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