Looking Back – My Experience of Data Analysis Work

As today’s my last day working on CiftC project – Phase One, I’ve been reflecting on the work we’ve done. One of my tasks involved analysing and collating the data of Black Ethnic Minority (BME) focused projects identified across Greater Manchester. This so we can report on the findings.

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The initial data collecting was quite overwhelming due to the large number of projects that were identified. However, once I started tallying the data, I realised that the actual number of BME focused projects was not as large! I also noticed that the number of BME focused projects increased over the years.

Some examples of the type of information I collated include: number of Heritage Lottery Funded (HLF) projects, number of responses, type of grant scheme, number of projects by year, number of projects by ethnic group and the number of oral history element within projects.

What I learned by collating the data is the patience and concentration that’s required. This is because sometimes the data needed to be updated and modified due to changes that occurred. This meant recounting and amending everything as the information seemed to interlink.

I believe that data collecting is important because it allows you to make sense of information. Moreover, you can create graphs and tables using the data collated. Graphs and tables are a very effective way of reading and drawing conclusions.

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