Data Engineering

Enterprise data modernization propelled by transformative technologies to drive accelerated business value

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At Innover, we help enterprises build modern, robust and collaborative data ecosystems to drive decisions that impact future growth and profit maximization. Through our integrated suite of Data Engineering solutions, we empower businesses to establish a solid data foundation and transform into intelligent enterprises of tomorrow. Our solutions span across the entire data management lifecycle – extracting and combining data from unstructured or structured sources using advanced ingestion tools; transforming data and building tamper-resistant, reliable pipelines; and applying polyglot persistence layer for efficient storage and analysis of data.

Throughout the data management cycle, we leverage the power of cutting–edge technologies like Artificial Intelligence, Machine Learning and Cloud to improve data quality, automate repetitive manual tasks and drive operational efficiency. Our solutions enable enterprises to organize their data in a way that is compelling, easy-to-digest; and transform data into impeccable visualizations and noteworthy stories.

Data Quality Framework

Build confidence in every data byte, across all sources, for all users

Discover how our framework can enable you to spot data challenges before they become a problem and progressively improve data quality to propel you on your way to data-driven supremacy and success.

Accelerate the creation of new data ecosystems

We empower enterprises to push the limits of excellence and succeed in a data-driven world.

Data Strategy & Roadmap

Design a data strategy tailored to your business goals that evaluates the maturity of current data capabilities and creates a highly agile blueprint or roadmap.

Build a fast, robust and future-ready data architecture that boosts enterprise performance.

Data Lifecycle Management

Manage data within the organization through its life – whether it is data creation, storage, analysis, archival or destruction.

Leverage the power of new-age technologies like Artificial Intelligence, Machine learning and Cloud to democratize data flows, cut down on engineering efforts and drive ETL efficiencies.

Data Lifecycle Management - Manage data within the organization through its life – whether it is data creation, storage, analysis, archival or destruction

Data Pipeline

Create a fully-automated, end-to-end data pipeline across batch and stream processing that provides access to reliable and well-structured datasets for analytics.

Enable an unobstructed flow of complete and real-time data that acts as the backbone to build data lakes, data warehouses, and databases.

Data Pipeline - Real-time data that acts as the backbone to build data lakes, data warehouses, and databases

Data Governance

Integrate effective data quality rules and SLAs into ETL tools, pipelines, and BI dashboards.

Ensure adherence to internal as well as external enterprise data standards, distribution policies and security measures, such that the data remains protected and compliance-verified throughout its lifecycle.

Data Visualization

Support on-demand secure data access and consumption via reports and dashboards across applications and devices.

Create fast, easy, user friendly self-service interactive reports to analyze trends with Conversational AI-based voice and chat commands.

Data Visualization - Support on-demand secure data access and consumption

Our Differentiators

Proprietary Platform

LEAP^TM – Our Advanced Analytics Platform accelerates data-to-insights journey

C.H.A.M.P. Approach | Future-proof Tax Function Technology Solutions

Vivid Expertise

Expertise across leading technologies – Python, Hadoop, Qlikview, MS PowerBI, and leading ETL tools

Comprehensive Alliances

Partnerships with Snowflake, MS Azure, AWS, Cloudera and other leading cloud and data engineering solution providers

If you would like to learn how our suite of services and accelerators can transform your business, please reach out. We look forward to hear from you.

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