Data Analysis & Management

Big data, Machine Learning, Data Science.

These "new" terms are often used without consensus on their meaning.

Regardless of jargon about data sizes or techniques used, useful insights can only be generated if the data is properly processed and the methods chosen are appropriate to the goals at hand.

At Datavima we have experience with the full spectrum of techniques, from simple, traditional data analysis methods to the modern and sophisticated Machine Learning algorithms. We work with data big and small.

But, more importantly, we work closely with our clients to understand their needs and develop bespoke solutions using the most appropriate techniques to help them achieve their goals.

Whatever issue you are trying to solve, we will work with you to generate the most useful and actionable insights.

Product Development

Good products improve the lives of their users.

In the current data-age, technical and virtual products are increasingly parts of our businesses and everyday lives.

They are web Dashboards to help users visualize their health or financial data, or an application that allows business owners to manage sales and inventory from different stores on the go, or a set of algorithms to conduct data processing and analyses that can be "packaged" into an automated engine to help banks calculate balance sheet allocations, and so much more.

We develop custom products for our clients to use internally, to help them improve processes and better manage their businesses, as well as externally, where the end users are our clients' clients.

From conceptualization, to prototyping, and development, we always employ Agile methodologies to ensure the development and testing cycles are short and efficient, putting the user first.

Application Development

"There's an app for that." If there isn't, we can help.

Apps can be web-based applications accessed via desktop browsers, or native iOS and Android apps used directly on mobile devices.

In an increasingly mobile world, with people in need to access and interact with data on the go, native apps are ever more popular.

Whereas responsive web design allows web-based apps to be used via browsers on mobile devices as well, the experience is not always as seamless as in a native app.

We work with our clients to map out the use cases and determine whether a mobile, a web-based or an integrated solution is the best approach.

From preliminary, low-fidelity wireframes, to high-fidelity prototypes, and actual implementation, our clients and end users are front and center in our development process, providing input and feedback to ensure the solution is the best one possible.

Data Skills & Team Development

Data understanding enables efficient data use.

As data sizes and needs scale, organizations are not always equipped with the technical know-how to manage them.

When clients need to develop those capabilities in-house, or to hire a dedicated team, we can help.

Capabilities development on data and technical skills allows clients to better manage consultants in those areas, or to conduct that work themselves. Trainings are custom-made based on clients' needs and backgrounds.

Topics could range from basic to sophisticated data processing and analysis methods, including Data Science techniques in Machine Learning, cloud computing, Agile methodologies & product development.

For clients who wish to hire a data or technical team already profficient in those techniques, we can also help: from advising on team structure, to candidates sourcing and interviewing.