In today’s world, data-driven enterprises rely entirely on data analysis to make well informed and swift decisions thanks to the advent of big data and digital transformation.
Big Data
Data Science as a Service
Contact Us
What Is Big Data?
Big Data is defined as huge amount of data (Volume) that may involve different data types (Variety) such as structured, unstructured data, as well as semi-structured data which is produced at a fast rate (Velocity).
Volume
Huge data size - terabytes,
petabytes
Velocity
High speed of data flow, change
and processing
Variety
Various data sources (social, mobile, M2M, structured and unstructured data)
Veracity
Various levels of data uncertainly
and reliability
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.
Credit/Debit Card Authentication
MRZ Verification
ID & Age Verification
PCI Compliance
SLA Monitoring
Cyber Security
Forensic Analysis
Clickstream and Application Log Analysis
Sensor Data
Sentiment Analysis
Recommendation Engines
Search 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.
Banking and Security
Insurance
Transportation
Education
Manufacturing
Energy and Utilities
Healthcare
Media and Entertainment
e-Commerce
Telecommunication
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.
Learn how Tractus can help your business
Contact Us
Learn how Tractus can help your business
Contact Us
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.
Banking and Security
Insurance
Transportation
Education
Manufacturing
Energy and Utilities
Healthcare
e-Commerce
Telecommunication
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.
Big Data Applications
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.
Search Indexing / Quality
Recommendation Engines
Sentiment Analysis
Sensor Data
Clickstream and Application Log Analysis
Forensic Analysis
Cyber Security
SLA Monitoring
PCI Compliance
ID & Age Verification
MRZ Verification
Credit/Debit Card Authentication
What Is Big Data?
Big Data is defined as huge amount of data (Volume) that may involve different data types (Variety) such as structured, unstructured data, as well as semi-structured data which is produced at a fast rate (Velocity).
Huge data size - terabytes,
petabytes
Volume
Various data sources (social, mobile, M2M, structured and unstructured data)
Variety
High speed of data flow,
change and processing
Velocity
Various levels of data uncertainly
and reliability
Veracity
In today’s world, data-driven enterprises rely entirely on data analysis to make well informed and swift decisions thanks to the advent of big data and digital transformation.
Big Data
Data Science as a Service
Contact Us
Learn how Tractus can help
your business
Contact Us
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.
Banking and
Security
Insurance
Transportation
Education
Manufacturing
Energy and
Utilities
Healthcare
e-Commerce
Telecommunication
Media and
Entertainment
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.
Big Data Applications
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.
Search Indexing / Quality
Recommendation Engines
Sentiment Analysis
Sensor Data
Clickstream and Application Log Analysis
Forensic Analysis
Cyber Security
SLA Monitoring
PCI Compliance
ID & Age Verification
MRZ Verification
Credit/Debit Card Authentication
What Is Big Data?
Big Data is defined as huge amount of data (Volume) that may involve different data types (Variety) such as structured, unstructured data, as well as semi-structured data which is produced at a fast rate (Velocity).
Huge data size - terabytes,
petabytes
Volume
Various data sources (social, mobile, M2M, structured and unstructured data)
Variety
High speed of data flow,
change and processing
Velocity
Various levels of data uncertainly
and reliability
Veracity
In today’s world, data-driven enterprises rely entirely on data analysis to make well informed and swift decisions thanks to the advent of big data and digital transformation.
Big Data
Data Science as a Service
Contact Us
Learn how Tractus can help
your business
Contact Us
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.
Banking and
Security
Insurance
Transportation
Education
Manufacturing
Energy and
Utilities
Healthcare
e-Commerce
Telecommunication
Media and
Entertainment
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.
Big Data Applications
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.
Search Indexing / Quality
Recommendation Engines
Sentiment Analysis
Sensor Data
Clickstream and Application Log Analysis
Forensic Analysis
Cyber Security
SLA Monitoring
PCI Compliance
ID & Age Verification
MRZ Verification
Credit/Debit Card Authentication
What Is Big Data?
Big Data is defined as huge amount of data (Volume) that may involve different data types (Variety) such as structured, unstructured data, as well as semi-structured data which is produced at a fast rate (Velocity).
Huge data size - terabytes,
petabytes
Volume
Various data sources (social, mobile, M2M, structured and unstructured data)
Variety
High speed of data flow,
change and processing
Velocity
Various levels of data uncertainly
and reliability
Veracity
In today’s world, data-driven enterprises rely entirely on data analysis to make well informed and swift decisions thanks to the advent of big data and digital transformation.
Big Data
Data Science as a Service
Contact Us
Learn how Tractus can help
your business
Contact Us
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.
Banking and
Security
Insurance
Transportation
Education
Manufacturing
Energy and
Utilities
Healthcare
e-Commerce
Telecommunication
Media and
Entertainment
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.
Big Data Applications
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.
Search Indexing / Quality
Recommendation Engines
Sentiment Analysis
Sensor Data
Clickstream and Application Log Analysis
Forensic Analysis
Cyber Security
SLA Monitoring
PCI Compliance
ID & Age Verification
MRZ Verification
Credit/Debit Card Authentication
What Is Big Data?
Big Data is defined as huge amount of data (Volume) that may involve different data types (Variety) such as structured, unstructured data, as well as semi-structured data which is produced at a fast rate (Velocity).
Huge data size - terabytes,
petabytes
Volume
Various data sources (social, mobile, M2M, structured and unstructured data)
Variety
High speed of data flow,
change and processing
Velocity
Various levels of data uncertainly
and reliability
Veracity
In today’s world, data-driven enterprises rely entirely on data analysis to make well informed and swift decisions thanks to the advent of big data and digital transformation.
Big Data
Data Science as a Service
Contact Us
Learn how Tractus can help your business
Contact Us
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.
Banking and
Security
Insurance
Transportation
Education
Manufacturing
Energy and
Utilities
Healthcare
e-Commerce
Telecommunication
Media and
Entertainment
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.
Big Data Applications
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.
Search Indexing / Quality
Recommendation Engines
Sentiment Analysis
Sensor Data
Clickstream and Application Log Analysis
Forensic Analysis
Cyber Security
SLA Monitoring
PCI Compliance
ID & Age Verification
MRZ Verification
Credit/Debit Card Authentication
What Is Big Data?
Big Data is defined as huge amount of data (Volume) that may involve different data types (Variety) such as structured, unstructured data, as well as semi-structured data which is produced at a fast rate (Velocity).
Huge data size - terabytes,
petabytes
Volume
Various data sources (social, mobile, M2M, structured and unstructured data)
Variety
High speed of data flow,
change and processing
Velocity
Various levels of data uncertainly
and reliability
Veracity
In today’s world, data-driven enterprises rely entirely on data analysis to make well informed and swift decisions thanks to the advent of big data and digital transformation.
Big Data
Data Science as a Service
Contact Us