Vanguard Economics has provided market research data services to global FMCG brands, regional manufacturers and food processors, global consultancy services, and investors in the services sector.
Vanguard Economics research can help your business:

Keep track of trends in the market

Identify paths to expansion

Remain relevant in a challenging and growing market

Deliver effective growth campaigns

Optimize your products and results

Grow in challenging and dynamic markets

Vanguard Economics can help you understand your market and grow your business in East Africa.

In a region where data is scarce, it is essential that policy makers and businesses have access to accurate and timely information on consumers, distribution channels, retailers, and competitors. Vanguard Economics provides primary market research services to businesses in East Africa.

What is research data?

Research data is any information that has been collected, observed, generated or created to validate original research findings. Research data can take many forms. It might be:

documents, spreadsheets
laboratory notebooks, field notebooks, diaries
questionnaires, transcripts, codebooks
audiotapes, videotapes
photographs, films
test responses
slides, artefacts, specimens, samples
collections of digital outputs
data files
database contents (video, audio, text, images)
models, algorithms, scripts
contents of an application (input, output, logfiles for analysis software, simulation software, schemas)
methodologies and workflows
standard operating procedures and protocols

Research data can be generated for different purposes and through different processes.

Observational data is captured in real-time, and is usually irreplaceable, for example sensor data, survey data, sample data, and neuro-images.
Experimental data is captured from lab equipment. It is often reproducible, but this can be expensive. Examples of experimental data are gene sequences, chromatograms, and toroid magnetic field data.
Simulation data is generated from test models where model and metadata are more important than output data. For example, climate models and economic models.
Derived or compiled data has been transformed from pre-existing data points. It is reproducible if lost, but this would be expensive. Examples are data mining, compiled databases, and 3D models.
Reference or canonical data is a static or organic conglomeration or collection of smaller (peer-reviewed) datasets, most probably published and curated. For example, gene sequence databanks, chemical structures, or spatial data portals.

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Research data management explained | Vanguard Economics

Vanguard Economics can help you understand your market and grow your business in East Africa.

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