TIRA The Institute of Research and Analysis Data Driven Development

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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

Presentation Outline Introduction to TIRA Accountant Generals’ Big Data Analytics Trends Dashboard Overview Percentage by Function (Financial Report 2013-2015 and Budget 2016-2017) Financial Report, Budget, Difference, Projections Statement B: Budget Execution - Expenditure by Function (2013-2015) 2013-2015 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)

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

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.

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

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

Dashboard Overview

Overview - Dashboard

Overview - Dashboard

2013-2015: Statement A and B Overview

2015 Overview Highlighting Statement B

Combining Internal and External Data

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.

Summary Statement & Recommendation

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

Q & A

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 - www.tira.solutions All Rights Reserved