How Grant Writers Use Data to Pitch

Decision making in today's technological dispensation is informed by data-driven analysis. Grant writers are equally becoming endowed with how to make use of data effectively to deliver winning proposals.

Here are a number of the techniques grant writers use data to pitch
Problem definition
Nonprofit organizations exist with the principal objective of eradicating a number of the societal issues that an element of the community faces. Whereas an ordinary narrative could be provided about these issues, practical problem descriptions are backed by actual statistics in regards to the situation. This includes data in regards to the qualities and characteristics of the prospective subject and data about their extent of the problem. Consequently, the situation definition can entail data in regards to the significance of the situation, the cause of the situation and how a proposed solution can address this issue.
Projections
After a thorough description of the identified situation, grant writers have to provide goals and objectives which can be measurable. This exercise also requires proper using data and data analysis tools. The proposed input and output for the initiative may then be manipulated to provide a projection of the various outcomes of the project on the basis of the data that is available. The projections are crucial as it enables the determination of efficiency, viability and sustainability of the initiative at different scales or using different measures and indicators. They're valuable information for the funders, and it enables them to comprehend the impact of the proposed intervention and the necessary inputs.
Budgeting
The budgeting process is equally a data intensive process that needs accuracy and is devoid of naive assumptions. Among the primary functions of a proposal highlights the resources necessary for the successful implementation of a project and for the realization of the project's objectives. Therefore, grant writers need to be careful lest they supply an over quotation or under quotation of the project's budget. A number of the crucial data applied by way of a grant writer include economic data that advice the costs of materials, the expense of wages, cost of equipment among other resources on the basis of the geographic location where in fact the initiative is going to be carried out. This data is then applied in the budgeting process to provide an approximate overall cost for the project and the quantity being requested from the funders.
Presentation
The format by which data is presented has significant repercussions how the intended audience will react upon its consumption. Grant writers are aware with this and hence strive to simplify data in the manner that appeals to the audience. This is achieved through data visualization. A number of the formats by which data could be presented visually include graphs and charts, tabular presentation and info-graphics which can be laced with a variety of text, figures, graphs, charts and pictorials.
Grant writers are increasingly relying on data to publish and pitch grant proposals which can be devoid of unfounded assumptions.

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