Professional Data Science Services Tailored to Your Needs

In the age of analytics, data is the new oil. DataPlume can help you strike it rich!
Having access to the latest information and the appropriate tools to spot major trends in time are necessary preconditions for success in the 21st century.

Embrace Data Analytics
and Unlock New Opportunities

Arising from smarter use of technology and information science – that’s the only way to stay a step ahead of your competitors in the modern marketplace.

DATA PREPARATION

Data preparation is one of the most important steps in data science life-cycle, and at DataPlume we have the ability to handle multiple information streams, including both online and offline channels. That way, we can combine social media conversations (i.e. social media profile data) with objective facts (i.e. demographics for a certain area) into a powerful mix that holds answers to many important questions. To make this assortment of data internally compatible and suitable for analytic purposes, we use a variety of statistical procedures for data preparation and
enhancement.

END-TO-END DATA ANALYTICS AND AI CAPACITY

The value of information is quickly increasing, and organizations in many different industries can benefit from professional data science services delivered by a team of top professionals. We have the expertise to take care of the data flow from one end to another, creating a robust model and updating it as new input becomes available. In addition to using the full gamut of traditional statistical methods, we are well equipped to design and operate deep learning algorithms that improve their performance as they are exposed to training examples.

BUSINESS CONTEXT ANALYSIS AND CYBER SECURITY

Raw numbers mean very little without proper business context, which is why we invest a lot of time to understand the background of each project before setting up the data model. Trends have to be analyzed within the natural business ecosystem in which they occur, with respect to many interlocking factors that affect the outcomes. Only by tracking a large number of relevant variables and their mutual relationships it becomes possible to understand the true meaning of statistics. Comprehensive monitoring of the data realm with quickly reveal any activity that breaks out from the norm, so we are also able to identify security or privacy threats at an early stage before they make any tangible damage.