What is big data?

Data Science

Data Science

The art of information theory.

Is it Art or Science?

The answer is both art and science. If you have a hard scientific question, and you can answer it with data, then it is a science. However, most small or medium size organizations do not need to answer complex scientific questions.

The Gartner survey shows that more than 50% of the businesses have no idea how to get any real value out of their data.

What is the difference between business analysts and data scientists? Data Science is an analytics program but data scientists are not always business analysts. Data scientists and engineers can customize software to automate analytics. Data scientists apply advanced algorithms to large data sets, aiming to discover hidden insights. In contrast with Data scientists, business analysts tend to have practical business solutions in mind, rather than complex algorithms.

Data Science Services:


  • - Data visualization and communication
  • - Knowledge Discovery and predictive analytics
  • - Coding complex algorithms
  • - Building infrastructure to provide analysis
  • - High performance computing for big data
  • - Data preparation and statistics
  • - Building complex mathematical models
  • - Building Machine Learning models
  • - Artificial Neural Networks for Deep Learning

DTVS has the knowledge and experience that businesses are lacking. We can quickly turn your data into valuable strategic insights.

Big Data and Analytics Solutions

Data Analytics

Taking the guesswork out of business decisions

Do you ever have a hunch?

Acting solely on a hunch is no longer necessary nor is it a good idea in today’s business environment. While good intuition is essential, it helps to know all the facts before making a decision.

Conventional business analytics solutions won’t be able to produce the desired results.

Most organizations compile huge volumes of raw data. This data is in a variety of different formats. Analyzing it may take millions or hundreds of millions of calculations and computations.

Data Analysis Services:


  • - Data visualization and communication
  • - Knowledge Discovery and predictive analytics
  • - Coding complex algorithms
  • - Building infrastructure to provide analysis
  • - High performance computing for big data
  • - Data preparation and statistics
  • - Building complex mathematical models
  • - Building Machine Learning models
  • - Artificial Neural Networks for Deep Learning

Big Data Architecture

Business Solutions - Functionalities & Mechanisms

Business Data Processing

The goal is to discover the strategic insights in raw data. We collect the data, clean it, store it and process it. We can build and deploy storage systems based on each client’s specific business needs.

Business managers don't have to understand technology. They just have to ask the right questions. Our job is to provide the technology solutions to business problems.

A coherent data architecture system can rapidly boost growth. In most cases, creating a data architecture is not so complicated and might not be expensive. In fact, for most small and medium size companies it's a simple straight-forward process. For these organizations, implementing an end-to-end database design strategy may not be necessary. Some clean-up, data migration, mapping and validation is usually more than enough. These techniques will give the business a competitive edge and will notably increase sales.

Data Architecture Services:


  • - Data acquisitions and database implementation
  • - Building relational databases from scratch
  • - Building big data software infrastructure
  • - Laying the groundwork for data for evaluations
  • - Controlling flow from source to destination
  • - Clean and aggregate raw data into databases