Enterprise data portfolio

Modern Data Architecture Solutions

Every company’s data-architecture blueprint is unique today, though the technology components implement similar principles. Our data architects help address your current and future needs with customized implementations of the modern architectural goals.

• Architect data as a service so that applications do not wrangle with data stores.
• Embed cost and quality by aligning the architecture with Data Management and Governance.
• Design data with future integration in mind.
• Model the data for dynamic platforms (Cloud, Hybrid, and Edge).
• Separate data platform specific features from the core data architecture (easier cloud-to-cloud migration).
• To enable flexible consumption, treat data in a format-agnostic way.

The companies we work with are achieving pervasive innovation across the enterprise with data that flows (in and out) of various touchpoints, both legacy and digital. We help you open the traditionally-closed boundaries around your data assets to new and scalable business models with the new-age advancements in Data Architecture. We help your enterprise establish and baseline the data models with the associated policies that define how (and what) data is collected, persisted, transformed, and integrated across the enterprise. 

In all our data architecting endeavors, we ensure the foundational data quality while keeping speed, flexibility, and data-driven innovation as the drivers from the ground-up. Together, we can formulate data as a securely-accessible & profit-making asset for your old and new business lines

Purpose-fit Data Storge and Consumption Solutions

It is likely that the innovation happening in your company is centered on data, leveraging the advancements offered by the cloud infrastructure solutions. However, as a company focused on data solutions, storage and access today have evolved into a whole new ecosystem where enterprises need to pick the right tool for the right job (among a plethora of options), design the storage/access mechanisms and ensure the core promise of “data is the new oil”.

Every enterprise customer we work with is constantly looking at opportunities to lower the data storage costs, increase the speed with which data is accessed, and aims for a shorter implementation time to take advantage of the new solutions. A “one-size fits all” type of database does not fit the new age applications, as you would agree. The vital data stored in the legacy databases needs to be moved out into “purpose-fit” data stores to optimize the consumption.

Our managed services include the conventional database activities as well as creating new access/consumption layers that abstract the low-level data storage & access. In order so stay ahead in leveraging the modern data stores, our data teams help you select, configure, deploy, and manage purpose-fit data stores.

In addition to the virtues provided by the infrastructure such as HA, auto-scaling etc., we develop simple, uniform, and fully managed API-based access to your old and new data. We help you experiment faster with the innovative ideas to exploit the potential in your data.

There are several specialized databases available today and it is very confusing even for the experienced data experts to harness the selection criteria against each option. We combine our knowledge with the industry case studies to deliver a storage and access strategy that serves your business cases. For example, we observe the data persistence and consumption needs of your microservices before setting up the data store.

We carefully create/refactor your interrelated data models to use the selected data stores. Keeping the current and futuristic data access trends in your applications, we give proper treatment to the physical, logical, view, and API level of abstraction.

Intelligent Data Movement Solutions

Our data engineers believe that your company’s digital business is heavily dependent on the data movement strategy and its integration patterns.

Combining our conventional data integration capabilities with the modern automation techniques is the adage behind our Data Movement projects today.

We integrate the heterogeneous data sources and targets to realize goal-oriented data movement, in a “real-time” fashion using refined ETL/ELT processes. The targets can be the existing Analytics/BI/ML consumers or even unknown/future consumers from the Enterprise Data Marketplace.

To keep up with the speed and complexity of the data flows in your enterprise, we help you build Automated Data Pipelines.

• Automated end-to-end integration/movement using best of the breed tools.
• Custom extensions to Lambda Architecture (batch + stream processing).
• Realtime transformation and distribution before sending to a data warehouse/data lake.
• Increased utilization of Realtime data by pushing it into relevant applications.
• Democratized data at the end of the pipeline for new (unknown) use-cases.

Through-out the Data Movement workflow (ETL/ELT), we embed Data Quality checks on-demand. We provide Data Quality as a Service (DQaaS) backed by Metadata approved by your data custodians. We define services for data profiling, data validation, data tagging, and automated cleansing. The core services will be enhanced with Data Stewardship itself enabled as an on-demand service for any conflict resolution.

We work with your IT to identify hidden data (dark data) residing in unexploited sources. We then pipe it in ways that your company’s new apps/channels could monetize it. Together, we can make the Data Movement Strategy enable data-driven decision making. Both the human consumers and the business logic operating in your dynamic applications stand to benefit from the intelligent data movement we deliver.