How do I make sense of my data?
You collected data for a reason. Maybe you wanted to understand what is happening, measure change, answer a research question, demonstrate impact, identify a problem, improve a decision, or communicate something important to other people.
Whatever the reason, collecting data is only the beginning.
The real value comes from being able to bring your data together, make them comparable and trustworthy, analyze them, visualize the results, and get the information into the hands of the people who can use it.
Many tools. Many silos.
Excel, R, Python, MATLAB, SAS, GIS, databases, dashboards, and custom applications are all valuable tools for working with data. Which tools you use depends on your data and your team's time, skills, budget, capacity, and existing workflows.
Every project tends to develop its own way of doing things, and organizations with many projects can end up with many different systems.
A team studying fisheries may structure and process its data completely differently from a team studying invasive species, offshore energy, transportation, mammals, coral reefs, biodiversity, or pollution.
That makes sense. But the real world doesn't fit into those silos.
Pollution affects fisheries. Fisheries affect biodiversity. Coral reefs respond to changes in water quality and climate. Wildlife diseases can move between species and ecosystems. Even something as seemingly unrelated as stray-dog observations can become important when considered alongside rabies, avian influenza, wildlife interactions, human health, waste, and movement between communities.
As teams increasingly need to work across disciplines, combining different types of information becomes more important—and more difficult. Different formats, methods, classifications, and workflows make valuable data difficult to combine, compare, and analyze together.
eOceans connects the whole workflow
eOceans lets you build a project around the questions you need to answer, then connect the data, methods, standards, collection, analysis, visualization, and reporting around it.
Bring in the data you already have with Magic Uploads. eOceans automatically formats and incorporates existing datasets into your project.
Keep adding new data through the mobile app, phone hotlines, sensors, or other sources. Different data can remain different while becoming interoperable and usable together.
Different data. Different sources. One connected project.
From data to results
Once your data are connected, eOceans automates much of the technical work required to make sense of them.
Your data, analyses, maps, graphs, tables, and reports stay connected, so results can update as new data arrive. Instead of repeatedly moving information between spreadsheets, databases, scripts, GIS, analysis tools, and reports, your team can spend more time understanding what the data tell you.
Because different datasets can be connected without losing their context, you can also look across variables and sources to identify relationships that would otherwise remain hidden.
Scale what your team can do
For many projects, eOceans replaces much of the spreadsheet, database, scripting, GIS, analysis, visualization, and reporting work that would otherwise require multiple tools and specialized technical skills.
Your team still provides the questions, expertise, methods, and interpretation. eOceans handles much of the technical work required to turn the resulting data into usable evidence.
Spend less time managing data and more time understanding what it means.
Do more with the data you already have. Keep adding. Keep learning. Share what you discover.
Turn the work you've already done into more knowledge, more evidence, and more impact.
Do the work only you can do. Let eOceans handle the rest.
Create a project. Add your data. Keep learning.
—> Get powered by eOceans®.