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Infuse analytics readiness

Managing the entire spectrum of data engineering needs to make data decision-ready. Through a thorough assessment of the contours of data connecting systems to storage and its governance, we prepare the right bundle of engineering services that meet your prioritized goals.

With the growing nature and pace of data, concerns around questionable data quality, existence of multiple DBs/ data marts and limitations caused by legacy architecture inhibit businesses to become analytics-ready. Our services are aimed at addressing these needs.

When can we say an organization is “Analytics-Ready”?

Here are questions that need to be addressed
Do I have reliable way to unify data from all my sources?
Do I have a ‘Single Source of Truth’ that’s easy to access?
Can I seamlessly add new sources, migrate and integrate data?
Have I improved my data governance?
Can I increase productive work with data?

What we offer

Data Strategy

Assessing all key aspects of data including connectivity, accessibility, scalability, quality, security, re-usability and governance. Our approach involves preparation of a blueprint for data-led initiatives with a ‘Data-first’ approach in architecture design and implementation of data frameworks.

Data Warehouse

Managing end-to-end datawarehouse needs with the ability to scale infrastructure on-demand. Our approach includes expediting data integration with heterogeneous data sources, automating data transformations with business-specific rules and building the right models that can integrate with legacy and agile technologies across the enterprise.

Data Lake Management

Enabling a unified view of the enterprise with a data lake to manage data of all nature, size and pace. Our proposition includes implementing reliable data governance with lineage, semantic consistency, role-based access, policies and augmenting capabilities to plug-in components, engines and connectors to popular sources.

Data Management

Infusing Data Governance & Stewardship with the right set of controls for internal policies and external regulations. Our proposition includes implementing data quality, Master Data Management (MDM) by creating a ‘Universal reference’ source and enabling the right blend of data management tools with human intelligence.

Big Data Management

Managing high volume and veracity of unstructured data by enabling high speed, flexible and extensible data ingestion. Our approach involves profiling data on hadoop to understand data, quality issues, collaboration on pipelines and management of spark on hadoop clusters.

How we enable these Outcomes?

Our approach enables businesses seamlessly navigate the Data Maturity journey - from standardizing their reporting, augmenting capabilities on the cloud to accelerating model outcomes across verticals, functions and technologies.

Find out how
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"GainInsights is a key partner in our data transformation journey. Their deep expertise and innate ability to design, architect and manage large data engineering projects has helped us deliver on our BI goals"

- Director IT, Next Story Group
Driving 8x improvement in time-to-insights

Delivered actionable intelligence for replenishment and procurement planning by processing data

Improved BI adoption with Digital Transformation

Enabled a live COO dashboard with executive KPIs to drive Performance Management and Self-Service.

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