Datalake for enterprise :

We help building centralized repository that allows our clients to store all your structured and unstructured data at any scale. they can store their data as-is, without having to first structure the data, and run different types of analytics from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions

Data platform for products :

To satisfy company’s insatiable appetite for data, we may be building a complex, multi-layered data ecosystem for our clients. At its core, a data platform is a central repository for all data, handling the collection, cleansing, transformation, and application of data to generate business insights. For most organizations, building a data platform is no longer a nice-to-have but a necessity, with many businesses distinguishing themselves from the competition based on their ability to glean actionable insights from their data, whether to improve the customer experience, increase revenue, or even define their brand.

Data platform for AI/ML workloads :

Clearly outline the problems that clients intend to solve or the opportunities they aim to capture with artificial intelligence and machine learning. Identifying specific use cases and defining success metrics. Assess the specific features and capabilities of potential data platforms. This includes evaluating their data querying and indexing capabilities, support for data transformation and ETL processes, and integration with popular machine learning frameworks and libraries.

Data discovery and augmentation:

Help customer with data augmentation impementaion where we increasing the amount and diversity of data. We do not collect new data, rather we transform the already present data, i.e, it is a technique of artificially increasing the training set by creating modified copies of a dataset using existing data. Establish the process of extracting meaningful patterns from data (data discovery aspects)

Data democratization:

Enabling everybody in an organization, irrespective of their technical knowledge, how to work with data comfortably, to feel confident talking about it, and, as a result, make data informed decisions and build customer experiences powered by data.

Data analytics modernization:

Turn our clients data into their strongest asset by modernizing the data and analytics ecosystem to be more scalable, agile, and future ready.

Data modelling, data integration:

Design and implement the data stores and establish the enterprise data flow patterns to streamline and standardize the data processing.

BI and analytics implementation:

Design highly scalable business intelligence systems leveraging cloud native tools and services and customize the solution for client’s requirements and delivering them in phases.

Data migrations and re-platforming:

We help clients with data migration i.e. moving data from one location to another, one format to another, or one application to another using our cost optimized and established patterns.

Data science:

Our data scientist study data to extract meaningful insights for business. we use multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.

Data management capability consulting:

Full service implementation solutions can help you define and implement a complete data management strategy and capabilities even in the most demanding organizational environments.
We pride ourselves on building sustainable, scalable and flexible enterprise data management solutions for our clients

Data platform, solution design, and PoC:

Build a data platform which is an integrated set of technologies that collectively meets an organization's end-to-end data needs.

Business intelligence (BI):

Technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions. We have the following experts to assist our clients in the area of BI.

• Intelligence Analyst
• Data Analyst

Innovative Data strategy:

Work with client's business stakeholders to establish and implements the modern standard process for below given key areas

• Data Acquisition and Governance
• Data Quality and Access
• Data Literacy and Usage
• Data Extraction and Reporting
• Data Analytics