90% of the worldwide data remains scattered & unused by the business

Insightify’s Platform is designed to

unlock the potential of that data

Runs on every cloud of your choice
Fast to implement – three months & you have it up and running
Built to make your data clean, structuralized & ready for further usage

Lack of data structure results in

Data Access

Slow and unreliable data access results from a lack of centralized data management, making it hard to obtain timely data

Operational Cost

High operational costs are inevitable when inefficient data processing and storage methods are used, resulting in increased manual work

Data Quality

Inconsistent data quality is due to poor data governance, leading to unreliable data and bad business decisions

Compliance Security

Security and compliance risks stem from poor data security, causing breaches, non-compliance, and legal issues

OUR SOLUTION

Data Management

ML Development

Infrastructure as Code

Complete implementation of IaC scripts for all environments, enabling their rapid replication and configuration consistency.

Automated and flawless deployment of infrastructure changes with minimal human involvement, ensuring consistency and reducing errors.

Ability to rapidly scale infrastructure in response to changing loads and project requirements, including those involving AI data processing, without impacting ongoing operations.

Continuous Integration and Continuous Deployment (CI/CD)

CI/CD processes are fully automated, ensuring operational continuity and minimizing errors during deployment.

Systems are designed to maintain operational continuity even during the deployment of new features or updates, eliminating production downtime.

Implemented mechanisms for rapid detection, reporting, and correction of deployment errors, minimizing impact on daily operations and maximizing uptime.

Scheduler

Automated management of tasks and dependencies between them, allowing for efficient and flexible use of infrastructure.

Flexible task scheduling that responds to variable system load, optimized for cost and operational efficiency.

Comprehensive monitoring and logging of operations, providing full transparency of data processing and enabling quick intervention and problem resolution.

Data Storage

Implementation of scalable and secure data storage solutions that can dynamically adjust to changing operational needs.

Automated data lifecycle management that effectively manages storage costs while ensuring rapid access to critical data.

High availability and resilience of storage systems, ensuring operational continuity and minimizing the risk of downtime.

Processing Layer

The system has implemented and tested mechanisms for automatic scaling that can dynamically adjust computing resources depending on current demand.

All elements of the processing infrastructure are configured for maximum operational efficiency, with thoughtful load balancing and efficient resource management.

Advanced monitoring and alert systems are implemented, providing real-time information on system status, helping in quick identification and resolution of operational issues.

Comprehensive performance tests have been conducted, confirming that the system meets expected standards of operation in terms of speed and reliability of processing.

Data Transformation Management

Systems automating the cleaning, integration, and transformation of data have been implemented, dynamically adjusting to the needs of various projects and applications.

Data transformation processes are fully automated and designed in such a way as to minimize the risk of errors, thus ensuring consistently high data quality.

Continuous monitoring systems and tools for updating data transformation procedures are implemented, allowing adaptation to changing analytical and operational requirements.

Data Analysis Layer

Analytical tools are tailored and optimized for fast processing of large data sets, minimizing waiting times and maximizing computational efficiency.

Data analysis processes are fully integrated with data management systems and other applications, including AI solutions, ensuring smooth data flow and facilitating intersystem interactions.

Effective data protection procedures are implemented, ensuring information security throughout the analysis process, from data collection to final processing.

Data Visualization Layer

Data visualization tools are fully integrated with analytical platforms, offering dynamic and interactive dashboards.

Visualizations are customized for different user groups, ensuring accessibility and usability for decision-makers at various organizational levels.

Implementation of privacy and security measures in presented data, ensuring that information is displayed only to authorized individuals.

Build yourself

vs

Insightify.io

TIME

~ 3 months to hire resources

TIME

= 3 months to go live

TEAM

Engineers either hired, allocated internally or mixed - usually no single pattern + complementary departments

90% of the worldwide data remains scattered & unused by the business

Insightify’s Platform is designed to

unlock the potential of that data

Lack of data structure results in

Data Access

Slow and unreliable data access results from a lack of centralized data management, making it hard to obtain timely data

Operational Cost

High operational costs are inevitable when inefficient data processing and storage methods are used, resulting in increased manual work

Data Quality

Inconsistent data quality is due to poor data governance, leading to unreliable data and bad business decisions

Compliance Security

Security and compliance risks stem from poor data security, causing breaches, non-compliance, and legal issues

OUR SOLUTION

Complete implementation of IaC scripts for all environments, enabling their rapid replication and configuration consistency.

Automated and flawless deployment of infrastructure changes with minimal human involvement, ensuring consistency and reducing errors.

Ability to rapidly scale infrastructure in response to changing loads and project requirements, including those involving AI data processing, without impacting ongoing operations.

CI/CD processes are fully automated, ensuring operational continuity and minimizing errors during deployment.

Systems are designed to maintain operational continuity even during the deployment of new features or updates, eliminating production downtime.

Implemented mechanisms for rapid detection, reporting, and correction of deployment errors, minimizing impact on daily operations and maximizing uptime.

Automated management of tasks and dependencies between them, allowing for efficient and flexible use of infrastructure.

Flexible task scheduling that responds to variable system load, optimized for cost and operational efficiency.

Comprehensive monitoring and logging of operations, providing full transparency of data processing and enabling quick intervention and problem resolution.

Implementation of scalable and secure data storage solutions that can dynamically adjust to changing operational needs.

Automated data lifecycle management that effectively manages storage costs while ensuring rapid access to critical data.

High availability and resilience of storage systems, ensuring operational continuity and minimizing the risk of downtime.

The system has implemented and tested mechanisms for automatic scaling that can dynamically adjust computing resources depending on current demand.

All elements of the processing infrastructure are configured for maximum operational efficiency, with thoughtful load balancing and efficient resource management.

Advanced monitoring and alert systems are implemented, providing real-time information on system status, helping in quick identification and resolution of operational issues.

Comprehensive performance tests have been conducted, confirming that the system meets expected standards of operation in terms of speed and reliability of processing.

Systems automating the cleaning, integration, and transformation of data have been implemented, dynamically adjusting to the needs of various projects and applications.

Data transformation processes are fully automated and designed in such a way as to minimize the risk of errors, thus ensuring consistently high data quality.

Continuous monitoring systems and tools for updating data transformation procedures are implemented, allowing adaptation to changing analytical and operational requirements.

Analytical tools are tailored and optimized for fast processing of large data sets, minimizing waiting times and maximizing computational efficiency.

Data analysis processes are fully integrated with data management systems and other applications, including AI solutions, ensuring smooth data flow and facilitating intersystem interactions.

Effective data protection procedures are implemented, ensuring information security throughout the analysis process, from data collection to final processing.

Data visualization tools are fully integrated with analytical platforms, offering dynamic and interactive dashboards.

Visualizations are customized for different user groups, ensuring accessibility and usability for decision-makers at various organizational levels.

Implementation of privacy and security measures in presented data, ensuring that information is displayed only to authorized individuals.

Build yourself

vs

Insightify.io

TIME

~ 3 months to hire resources

TIME

= 3 months to go live

TEAM

Engineers either hired, allocated internally or mixed - usually no single pattern + complementary departments

TEAM

A team of Senior Engineers with a proven track record of delivering together

PRICE

Difficult to measure, due to many unpredictable factors

PRICE

Fixed price - you pay only for deliverabilities, not for filled in timesheets

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