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.

Volume

Huge data size - terabytes, petabytes

Variety

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

Velocity

High speed of data flow, change and processing

Veracity

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.

e-Commerce

Banking and Finance

Insurance

Transportation

Education

Energy and Utilities

Manufacturing

Telecommunication

Healthcare

Media and Entertainment

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