What Is Big Data?

Big data is a term that describes large, hard-to-manage volumes of data – both structured and unstructured – that inundate businesses on a day-to-day basis. But it’s not just the type or amount of data that’s important, it’s what organizations do with the data that matters.


Huge data size - terabytes, petabytes


Various data sources (social, mobile, M2M, structured and unstructured data)


High speed of data flow, change and processing


Various levels of data uncertainly and reliability

Why Use Big Data?

It is difficult to analyze huge data accurately and efficiently with traditional solutions. Nowadays, big data tools and technologies such as KNIME, Apache Hadoop, and Apache Spark make it easier.

Financial Services

  • Credit/Debit Card Authentication
  • MRZ Verification
  • ID & Age Verification
  • PCI Compliance

IT Management

  • SLA Monitoring
  • Cyber Security
  • Forensic Analysis

Telemetry Management

  • Clickstream Analysis
  • Application Log Analysis
  • Sensor Data

Online Commerce

  • Sentinment Analysis
  • Recommendations Engine
  • Searcg Indexing/Quality

Big Data Applications

The process of using data to guide business strategy is known as data analytics. Our data analytics experts at Tractus assist companies in overcoming all obstacles by offering high-quality data analytics services.

4 Stages of Data Analytics Maturity

One of the advantages of machine learning systems over rule-based systems is that they process data faster and need less manual labor. Smart algorithms, for example, work well with behavior analytics to help minimize the number of verification steps

Descriptive Analytics

Explains what happened

Diagnostic Analytics

Explains why it happened

Predictive Analytics

Forecasts what might happen

Prescriptive Analytics

Recommends an action based on the forecast