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Importance of Data Engineering

When your organization generates a large amount of data, data engineering becomes more essential. It is crucial for building a resilient and future-ready data infrastructure to drive  organizational success in the data-driven era.

Data engineering optimizes data processing workflows, automates repetitive tasks, and facilitates the scalability of systems to handle increasing data volumes. This discipline is vital for designing robust data architectures, enhancing business intelligence, and fostering innovation through advanced analytics.

<span>Importance</span> of Data Engineering

12%

average annual revenue loss is faced by businesses with poor data quality.

72%

of businesses face challenges in fully leveraging data insights due to issues with data quality and integration.

80%

of data is unstructured and necessitates proper engineering for meaningful analysis.

How we can Add value

At Innovatics we fully optimized data processing pipelines, through which organizations can enhance efficiency and scalability, accommodating the growing volume of data. Our data engineering services can help with automation of workflows, reduce errors and increase productivity.

Innovatics ensures implementation of advanced data architectures, supports innovation and business intelligence initiatives. With us you can expect improved data quality, integration, and accessibility, enabling more informed decision-making.

How we can <span>Add value</span>

Our Ultimate Data Engineering Process

Data Ingestion
Data Ingestion
Storage Solutions
Storage Solutions
Processing and<br>  Analysis
Processing and
Analysis
Visualization<br> Mastery
Visualization
Mastery

Explore Our Unique Data Engineering Roadmap

Explore Our Unique Data Engineering <span>Roadmap</span>
Data Management Solutions
Data Management Solutions

Our comprehensive data management solutions cover aspects such as ensuring data quality, performing data cleansing, enriching data, and managing the entire data lifecycle. We are dedicated to unlocking the full potential of your data by maintaining its accuracy, relevance, and accessibility throughout its entire lifecycle.

Custom Data Pipeline Development
Custom Data Pipeline Development

Innovatics excels in the meticulous design and implementation of robust, scalable data pipelines customized to your specific requirements. Our goal is to drive optimal data-driven outcomes, leading to significant cost savings and enabling your team to focus on core business operations.

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Modernization of  Data Architecture

If your current data architecture is impeding your growth, Innovatics specializes in modernizing data architectures. Our experts focus on optimizing performance, enhancing security, and ensuring seamless integration across your entire data ecosystem.

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ETL and Data Transformation Excellence

Innovatics' data experts harness the power of ETL processes to seamlessly integrate data from diverse sources into a unified and reliable format, customized to meet your specific requirements.

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Data Governance and Compliance Assurance

At Innovatics, our data governance strategies establish essential frameworks to ensure data quality, privacy, and compliance regulations. This approach mitigates risks and safeguards the integrity of your data, providing you with confidence in your data management practices.

Optimize your organization’s Data pipeline through a comprehensive data engineering strategy.

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Achieve Unmatched Success With Next-Gen Data Solutions

Data Lake
    • Navigate unstructured data with confidence.
    • Harness data lake solutions to centrally store raw data.
    • Empower advanced analytics and pattern recognition.
    • Promote collaboration through shared access to a unified data repository.
Master Data Management (MDM)
    • Establish and maintain uniform core data accuracy across your organization.
    • Standardize, validate, and synchronize pivotal data elements consistently.
    • Elevate data quality by ensuring precision and consistency.
    • Empower decisive decision-making with confidence.
Data Warehouse
    • Ensure effortless access for streamlined reporting and analysis.
    • Seamless integration with business intelligence tools for
      comprehensive insights.
    • Optimize visualization capabilities for enhanced data interpretation.
    • Implement Master Data Management to ensure data accuracy
      and consistency.
    • Support scalable storage solutions to accommodate expanding datasets.
Cloud Computing Advantages
    • Embrace the scalability and agility offered by cloud infrastructure.
    • Facilitate smooth transitions, data processing, storage, and analysis in the cloud.
    • Simplify infrastructure management, reducing complexities and maintenance costs.
    • Increase security measures to safeguard sensitive information in the cloud environment.

Our Data Engineering
USP’s

  • Helped over 200+ organizations to increase their operational by 30%
  • Access expert advice with a team boasting over years of 20+ Years of experience.
  • Helped organizations reduce operational costs of up to 30%  through optimized data  engineering / management practices.

Our Approach in Data Engineering

Innovatics champions data democratization, data engineering and data management providing stakeholders across the organization with easy access to valuable insights, and promoting a culture of data-driven decision-making. Additionally, our focus on optimizing data pipeline throughput enhances the speed and accuracy of data workflows, contributing to operational efficiency. All this becomes possible through our effective data engineering roadmap.
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<span>Our Approach</span> in Data Engineering

Explore Unique Business Cases that We Solved

Browse All Cases
Innovatics Revolutionizes Data Integration and Business Intelligence for Retail Giant

Innovatics Revolutionizes Data Integration and Business Intelligence for Retail Giant

Innovatics proposed a state-of-the-art solution by building an Azure-based pipeline. The solution involved fetching, saving, transforming, and publishing data between BIZOM and SAP, using Azure Data Factory (ADF) and Azure SQL database.

Market research and market entry process in an untapped global market to achieve higher market share.

Market research and market entry process in an untapped global market to achieve higher market share.

This case study delves into the journey of a pharmaceutical company aiming to launch medical drugs in an untapped global market to achieve higher sales and market share. The company is a leading player in the healthcare industry. With a rich portfolio of successful pharma products.

Devising and executing a Customer Cohort Analysis for retail industry.

Devising and executing a Customer Cohort Analysis for retail industry.

The case studies about relevant customer data, defining meaningful cohorts, identifying crucial variables, analysing complex customer behaviour patterns, and implementing effective churn mitigation strategies.

Migrating Business Intelligence Dashboards from DOMO to Tableau for a global media company.

Migrating Business Intelligence Dashboards from DOMO to Tableau for a global media company.

Re-engineering and migrating all the DOMO dashboards to Tableau, with Snowflake as the data warehouse. Tableau was chosen for its scalability and ability to handle large data sets efficiently.

Digitally Transforming Agriculture: Smart Farming with Deep Learning Technology

Digitally Transforming Agriculture: Smart Farming with Deep Learning Technology

This case study showcases how we helped a leading agriculture company by digitally transforming key areas, including: Plant monitoring, early detection of plant infections, smart irrigation and precise chemical application.