Data Management

Data Management Services

Data Governance

We establish data transparency, protection, and audit integrity policies. Help you with data glossaries, lineage, cataloging, isolated and redundant data detection, and fixing data flow breakage.

Master Data Management

We create a centralized data aggregation capability focusing on having authoritative sources for key data domains, namely: account, product, price, index, etc., and facilitate the integration with discrete systems.

Data Quality & Veracity

We analyze your data quality issues and weak spots, implement a comprehensive set of data validations and apply them at integration points and across data repositories to provide end-end assurance.

Data Platforms

We develop a modern data platform to handle the scale and complexity of today’s data using the best breed of custom + off-the-shelf + cloud storage, compute, and serverless technologies.

Data Architecture

We design a robust, cloud-based data architecture that handles large volumes of data from disparate systems in different formats, adhering to industry data security, integrity, and performance standards.

Data Integration

We make your data pipelines seamless, integrate new data into the existing ecosystem, connect with the third-party knowledge base, and establish API/EDI communication to connect discrete systems.

DataOps

We reduce the end-to-end cycle time of data analytics, from the origin of architecture to implementation of charts, graphs and models that create value by following Agile + DevOps + Lean methodologies.

Pillars of Data Management

Value

Data needs to be accurate and actionable to provide value to the business.

Structure

Data requires to have a hierarchy, segmentation, relationships, compliance

Connectivity

Data shall flow into and across your different processes and enterprise systems

Coverage

Data shall cover your business entities, divisions, locations

Quality

Data requires validation, correction, transformation, and classification

Customer FAQs & Our Responses

How can you improve my organization’s current data ecosystem?

Our data consultants analyze your existing architecture and gather details on ideal scalability, performance, and security, then help you adopt the suitable foundational shift mentioned below.

From on-premises storage & compute to cloud-based infra
From batch processing to real-time data processing
From commercial data platforms to open source
From point-to-point to decoupled yet encrypted data access
From disparate data sources to single source DWH
From rigid data models to flexible data schemas

How do you ensure the integrity of the data is not compromised?

We believe compromising on data integrity & security can lead to data manipulation & poor decision-making. Hence, we add the ethical practices below to maintain your data’s reliability, consistency, and accuracy.

Implementing an immutable log & monitoring mechanism
Locking, securing & encrypting the sensitive information
Automating the backup and disaster recovery controls
Validating the data quality & compatibility using scripts
Organizing the files, storage & systems for easy auditing

How do you ensure the integrity of the data is not compromised?

We simplify the data movement between your applications, databases, DWHs, and external customer data platforms. We begin with business logic creation, categorize integrations, formalize IDs, clean data, validate its format as per architecture, right mapping with ETL, transform data schema, and separate environments and log collections. Performing these activities by adhering to the data best practices help in creating a unified data ecosystem.

What is the modern data stack you used recently?

Serverless data platforms – AWS, Azure, GCP
Messaging platforms – Apache Kafka
Streaming processing and analytics solutions – Apache Kafka Streaming, Apache Flume, Apache Storm, Apache Spark
Alerting Platforms – Splunk, Graphite
Containerized data solutions – Kubernetes

Data Analytics Partner You Need

The Lean Startups

Startups lack data & infrastructure as they are new business entrants. We help you connect with third-party data sources through APIs, clean & format your data, and generate insight by using cost-effective tools & on-demand pay-as-you-go cloud infrastructure.

Small & Mid-size Enterprises (SME)

SMEs struggle with data silos, data loss, illegal access & non-compliance. We help you redesign your data ecosystem to accommodate the sheer volume of data, link all integration points, establishing pipelines, and then implement governance and security practices.

The Big Enterprises

Enterprises suffer from unstructured data (up to 70%), legacy data toolsets, and high data administration costs. We help you migrate to the modern toolset by applying polyglot persistence + microservices principles, then create a vision for reducing YoY costs.