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.
average annual revenue loss is faced by businesses with poor data quality.
of businesses face challenges in fully leveraging data insights due to issues with data quality and integration.
of data is unstructured and necessitates proper engineering for meaningful analysis.
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.
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.
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.
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.
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.
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.
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.
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.
The case studies about relevant customer data, defining meaningful cohorts, identifying crucial variables, analysing complex customer behaviour patterns, and implementing effective churn mitigation strategies.
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.
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.