Data Services

We Work with Data

The foundation of what we do is data. We assign the appropriate specialists to handle difficult data difficulties and give our clients outstanding assistance by utilising the vast knowledge and expertise that exists within our teams.

We Work with Data

The foundation of what we do is data. We assign the appropriate specialists to handle difficult data difficulties and give our clients outstanding assistance by utilising the vast knowledge and expertise that exists within our teams.

Information Advise

How to Use Your Data to Its Complete Potential

 

  • Analyse your present data management procedures and compare them to accepted standards or best practices
  • Create a data strategy that improves important performance indicators and is in line with your company’s goals.
  • Make a plan for implementing data-driven changes.
  • Provide advice on the best operational model to meet your primary business goals with regard to data.

Information Advise

How to Use Your Data to Its Complete Potential

  • Analyse your present data management procedures and compare them to accepted standards or best practices
  • Create a data strategy that improves important performance indicators and is in line with your company’s goals.
  • Make a plan for implementing data-driven changes.
  • Provide advice on the best operational model to meet your primary business goals with regard to data.

Information Architecture 

Make sure your data is easily accessible and arranged in a methodical manner.

  • Data architecture for an entire organisation or a single solution
  • Create effective and scalable data structures.
  • Assess and provide architecture and design for technology associated with data migration.
  • Use ETL/ELT (Extract, Transform, Load) procedures to move data pipelines and attain consistent data states.

Information Architecture

Make sure your data is easily accessible and arranged in a methodical manner.

  • Data architecture for an entire organisation or a single solution
  • Create effective and scalable data structures.
  • Assess and provide architecture and design for technology associated with data migration.
  • Use ETL/ELT (Extract, Transform, Load) procedures to move data pipelines and attain consistent data states.

Data Management

Foster a culture of Regulatory Adherence. 

  • Identify the current state and the desired future state, conduct a gap analysis, and outline the necessary actions, data maturity, and architecture needed to achieve the target state.
  • Create a data governance plan that includes frameworks, policies, and means of involvement.
  • Establish data management procedures and standards for data quality.
  • To ensuring adherence to legal standards (such as Basel III, GDPR, KYC, SOOCS, etc.)
  • Make ensuring that the creation and use of data governance models are informed by business-driven use cases.

Data Management

Foster a culture of Regulatory Adherence. 

  • Identify the current state and the desired future state, conduct a gap analysis, and outline the necessary actions, data maturity, and architecture needed to achieve the target state.
  • Create a data governance plan that includes frameworks, policies, and means of involvement.
  • Establish data management procedures and standards for data quality.
  • To ensuring adherence to legal standards (such as Basel III, GDPR, KYC, SOOCS, etc.)
  • Make ensuring that the creation and use of data governance models are informed by business-driven use cases.

Analytics & Data Science 

Unleash your data’s potential

  • Carrying out study and testing hypotheses in data science
  • Offering proficiency in image recognition and common language processing
  • Mining data and looking for patterns to gain insights
  • Using machine learning and predictive modelling methods
  • Creating analytics models for consumer segmentation and risk assessment
  • Data Dashboard
  • Constructing unique machine learning methods and models

Analytics & Data Science 

Unleash your data’s potential

  • Carrying out study and testing hypotheses in data science
  • Offering proficiency in image recognition and common language processing
  • Mining data and looking for patterns to gain insights
  • Using machine learning and predictive modelling methods
  • Creating analytics models for consumer segmentation and risk assessment
  • Data Dashboard
  • Constructing unique machine learning methods and models

Data Transfer

Modernising apps and promoting upgrades need data transfer. 

 
  • After findings, we provide an architecture for a customised data migration solution that includes three different solutions and the best cutover techniques to fit your demands.
  • Securing that during the transfer process the system upholds data integrity, consistency, and transparency across all assets.
  • Combining data from several sources into a single platform and then moving it to the desired destination state or apps.
  • As the success of the project depends on the Common Data Model (CDM) being effectively developed and implemented inside the solution.
  • In a similar vein, the migration result is greatly influenced by the other nine elements of the solution. The ability to reverse the data state to its initial state in the event that mistakes are found during the migration process is a fundamental design feature.

Data Transfer

Modernising apps and promoting upgrades need data transfer. 

  • After findings, we provide an architecture for a customised data migration solution that includes three different solutions and the best cutover techniques to fit your demands.
  • Securing that during the transfer process the system upholds data integrity, consistency, and transparency across all assets.
  • Combining data from several sources into a single platform and then moving it to the desired destination state or apps.
  • As the success of the project depends on the Common Data Model (CDM) being effectively developed and implemented inside the solution.
  • In a similar vein, the migration result is greatly influenced by the other nine elements of the solution. The ability to reverse the data state to its initial state in the event that mistakes are found during the migration process is a fundamental design feature.

Integration of Data

Unlock the data in your company. 

 
  • Determining which business use cases the integration architecture needs to accommodate
  • Selecting the integration architecture principles and patterns to incorporate into your design
  • Storata can determine the best architectural principles and patterns to guarantee continuous data integrity, extensive audit capabilities, and event replay functionality while designing batch, intraday, near real-time, or real-time ETL data integration models.
  • In order to meet new regulatory standards and achieve strong data security, privacy, and compliance, Storata can help. We make sure these requirements are fulfilled as you combine various data sources into a cohesive dataset for your company.

Integration of Data

Unlock the data in your company. 

  • Determining which business use cases the integration architecture needs to accommodate
  • Selecting the integration architecture principles and patterns to incorporate into your design
  • Storata can determine the best architectural principles and patterns to guarantee continuous data integrity, extensive audit capabilities, and event replay functionality while designing batch, intraday, near real-time, or real-time ETL data integration models.
  • In order to meet new regulatory standards and achieve strong data security, privacy, and compliance, Storata can help. We make sure these requirements are fulfilled as you combine various data sources into a cohesive dataset for your company.

Delivering Data with Commitment and Integrity